RSI-Adaptive T3 [ChartPrime]The RSI-Adaptive T3 is a precision trend-following tool built around the legendary T3 smoothing algorithm developed by Tim Tillson , designed to enhance responsiveness while reducing lag compared to traditional moving averages. Current implementation takes it a step further by dynamically adapting the smoothing length based on real-time RSI conditions — allowing the T3 to “breathe” with market volatility. This dynamic length makes the curve faster in trending moves and smoother during consolidations.
To help traders visualize volatility and directional momentum, adaptive volatility bands are plotted around the T3 line, with visual crossover markers and a dynamic info panel on the chart. It’s ideal for identifying trend shifts, spotting momentum surges, and adapting strategy execution to the pace of the market.
HOIW IT WORKS
At its core, this indicator fuses two ideas:
The T3 Moving Average — a 6-stage recursively smoothed exponential average created by Tim Tillson , designed to reduce lag without sacrificing smoothness. It uses a volume factor to control curvature.
A Dynamic Length Engine — powered by the RSI. When RSI is low (market oversold), the T3 becomes shorter and more reactive. When RSI is high (overbought), the T3 becomes longer and smoother. This creates a feedback loop between price momentum and trend sensitivity.
// Step 1: Adaptive length via RSI
rsi = ta.rsi(src, rsiLen)
rsi_scale = 1 - rsi / 100
len = math.round(minLen + (maxLen - minLen) * rsi_scale)
pine_ema(src, length) =>
alpha = 2 / (length + 1)
sum = 0.0
sum := na(sum ) ? src : alpha * src + (1 - alpha) * nz(sum )
sum
// Step 2: T3 with adaptive length
e1 = pine_ema(src, len)
e2 = pine_ema(e1, len)
e3 = pine_ema(e2, len)
e4 = pine_ema(e3, len)
e5 = pine_ema(e4, len)
e6 = pine_ema(e5, len)
c1 = -v * v * v
c2 = 3 * v * v + 3 * v * v * v
c3 = -6 * v * v - 3 * v - 3 * v * v * v
c4 = 1 + 3 * v + v * v * v + 3 * v * v
t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
The result: an evolving trend line that adapts to market tempo in real-time.
KEY FEATURES
⯁ RSI-Based Adaptive Smoothing
The length of the T3 calculation dynamically adjusts between a Min Length and Max Length , based on the current RSI.
When RSI is low → the T3 shortens, tracking reversals faster.
When RSI is high → the T3 stretches, filtering out noise during euphoria phases.
Displayed length is shown in a floating table, colored on a gradient between min/max values.
⯁ T3 Calculation (Tim Tillson Method)
The script uses a 6-stage EMA cascade with a customizable Volume Factor (v) , as designed by Tillson (1998) .
Formula:
T3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
This technique gives smoother yet faster curves than EMAs or DEMA/Triple EMA.
⯁ Visual Trend Direction & Transitions
The T3 line changes color dynamically:
Color Up (default: blue) → bullish curvature
Color Down (default: orange) → bearish curvature
Plot fill between T3 and delayed T3 creates a gradient ribbon to show momentum expansion/contraction.
Directional shift markers (“🞛”) are plotted when T3 crosses its own delayed value — helping traders spot trend flips or pullback entries.
⯁ Adaptive Volatility Bands
Optional upper/lower bands are plotted around the T3 line using a user-defined volatility window (default: 100).
Bands widen when volatility rises, and contract during compression — similar to Bollinger logic but centered on the adaptive T3.
Shaded band zones help frame breakout setups or mean-reversion zones.
⯁ Dynamic Info Table
A live stats panel shows:
Current adaptive length
Maximum smoothing (▲ MaxLen)
Minimum smoothing (▼ MinLen)
All values update in real time and are color-coded to match trend direction.
HOW TO USE
Use T3 crossovers to detect trend transitions, especially during periods of volatility compression.
Watch for volatility contraction in the bands — breakouts from narrow band periods often precede trend bursts.
The adaptive smoothing length can also be used to assess current market tempo — tighter = faster; wider = slower.
CONCLUSION
RSI-Adaptive T3 modernizes one of the most elegant smoothing algorithms in technical analysis with intelligent RSI responsiveness and built-in volatility bands. It gives traders a cleaner read on trend health, directional shifts, and expansion dynamics — all in a visually efficient package. Perfect for scalpers, swing traders, and algorithmic modelers alike, it delivers advanced logic in a plug-and-play format.
Osilatörler
Trend Signals StrategyThis strategy is designed to follow the dominant market trend and only take trades in the direction of that trend. It uses two moving averages for trend detection and candlestick confirmation for entries. The strategy can be used on any timeframe but works best on 15m to 1H for intraday trading.
Wave Trend With SignalsBased on Wave Trend With Signals ...thx bro. Added RSI and a little of fine tuning.
Enjoy!
Nick's 1m MACD Scalp StrategyI created a script for a successful scalping strategy I found on Reddit.
All credits go to u/United_Occasion_439 and the strategy can be found here:
www.reddit.com
This indicator does allow you to switch SL type between ATR/ Swing Low/ Fixed.
CHN BUY SELL with EMA 200Overview
This indicator combines RSI 7 momentum signals with EMA 200 trend filtering to generate high-probability BUY and SELL entry points. It uses colored candles to highlight key market conditions and displays clear trading signals with built-in cooldown periods to prevent signal spam.
Key Features
Colored Candles: Visual momentum indicators based on RSI 7 levels
Trend Filtering: EMA 200 confirms overall market direction
Signal Cooldown: Prevents over-trading with adjustable waiting periods
Clean Interface: Simple BUY/SELL labels without clutter
How It Works
Candle Coloring System
Yellow Candles: Appear when RSI 7 ≥ 70 (overbought momentum)
Purple Candles: Appear when RSI 7 ≤ 30 (oversold momentum)
Normal Candles: All other market conditions
Trading Signals
BUY Signal: Triggered when closing price > EMA 200 AND yellow candle appears
SELL Signal: Triggered when closing price < EMA 200 AND purple candle appears
Signal Cooldown
After a BUY or SELL signal appears, the same signal type is suppressed for a specified number of candles (default: 5) to prevent excessive signals in ranging markets.
Settings
RSI 7 Length: Period for RSI calculation (default: 7)
RSI 7 Overbought: Threshold for yellow candles (default: 70)
RSI 7 Oversold: Threshold for purple candles (default: 30)
EMA Length: Period for trend filter (default: 200)
Signal Cooldown: Candles to wait between same signal type (default: 5)
How to Use
Apply the indicator to your chart
Look for yellow or purple colored candles
For LONG entries: Wait for yellow candle above EMA 200, then enter BUY when signal appears
For SHORT entries: Wait for purple candle below EMA 200, then enter SELL when signal appears
Use appropriate risk management and position sizing
Best Practices
Works best on timeframes M15 and higher
Suitable for Forex, Gold, Crypto, and Stock markets
Consider market volatility when setting stop-loss and take-profit levels
Use in conjunction with proper risk management strategies
Technical Details
Overlay: True (plots directly on price chart)
Calculation: Based on RSI momentum and EMA trend analysis
Signal Logic: Combines momentum exhaustion with trend direction
Visual Feedback: Colored candles provide immediate market condition awareness
Candle Count RSI📈 Candle Count RSI — A Dual-Perspective Momentum Engine
The Candle Count RSI is a custom-built momentum oscillator that expands on the classic Relative Strength Index (RSI) by introducing a directional-only variant that tracks the frequency of bullish or bearish closes, rather than price magnitude. It gives traders a second lens through which to evaluate momentum, trend conviction, and subtle divergences—often invisible to traditional price-based RSI.
💡 What Makes It Unique?
While the standard RSI is sensitive to the size of price changes, the Candle Count RSI is magnitude-blind. It counts candle closes above/below open over a lookback period, generating a purer signal of directional consistency. To enhance signal fidelity, it includes a streak amplifier, dynamically weighting extended runs of green or red candles to reflect intensity of market bias—without introducing artificial price sensitivity.
This dual-RSI approach allows for:
- Divergence detection between directional bias and price magnitude.
- Smoother trend confirmation in choppy markets.
- Cleaner visual cues using dynamic glow and background logic.
📐 How Standard RSI Actually Works (Not What You Think)
RSI doesn’t just check if price went up or down over a span—it checks each individual candle and tracks whether it closed higher or lower than the one before. Here's how it works under the hood:
1.) For each bar, it calculates the change from the previous close.
2.) It separates those changes into gains (upward moves) and losses (downward moves).
3.) Then it computes a smoothed average of those gains and losses (usually using an RMA).
4.) It calculates the Relative Strength (RS) as:
RS = AvgGain / AvgLoss
5.) Finally, it plugs that into the RSI formula:
RSI = 100 - (100 / (1 + RS))
⚖️ What Does the 50 Line Mean?
- The RSI scale runs from 0 to 100, but 50 is the true neutral zone:
- RSI > 50 means average gains outweigh average losses over the period.
- RSI < 50 means losses dominate.
- RSI ≈ 50? The market is balanced—momentum is indecisive, no clear trend bias.
- This makes 50 a powerful midline for trend filters, directional bias tools, and divergence detection—especially when paired with alternative RSI logic like Candle Count RSI.
🔧 Inputs and Customization
- Everything is fully modular and customizable:
🧠 Core Settings
- RSI Length: Used for both the standard RSI and Candle Count RSI.
📉 Standard RSI
- Classic RSI calculation based on price changes.
- Optional WMA smoothing to reduce noise.
- Glow effect toggle with custom intensity.
🕯 Candle Count RSI
- Computes RSI using only the count of up/down candles.
- Optional smoothing for stability.
- Amplifies streaks (e.g., multiple consecutive bullish candles increase strength).
- Glow effect toggle with adjustable strength.
🎇 Glow Visuals
- Background glow (subpane and/or main chart).
- Fades based on RSI distance from the 50 midpoint.
- Independent color settings for bull and bear bias.
🧬 Divergence Zones
- Detects when Candle RSI and Standard RSI diverge.
- Highlights:
- Bullish Divergence: Candle RSI > 50, Standard RSI < threshold.
- Bearish Divergence: Candle RSI < 50, Standard RSI > threshold.
- Background fill optionally shown in subpane and/or main chart.
📊 Directional Histogram
- MACD-style histogram showing the difference between the two RSI lines.
- Color-coded based on directional agreement:
- Both rising → green.
- Both falling → red.
- Conflict → yellow.
🧠 Under the Hood — How It Works
🔹 Standard RSI
- Classic ta.rsi() applied to close prices, optionally WMA-smoothed.
🔹 Candle Count RSI (CCR)
- Counts how many candles closed up/down over the period.
- Computes a magnitude-free RSI from these counts.
- Applies a streak-based multiplier to exaggerate trend strength during consecutive green/red runs.
- Optionally smoothed with WMA to create a clean signal line.
- This makes CCR ideal for detecting true directional bias without being faked out by volatile price spikes.
🔹 Divergence Logic
- When Candle RSI and Standard RSI disagree strongly across defined thresholds, background fills highlight early signs of momentum decay or hidden accumulation/distribution.
🔹 Glow Logic
- Glow zones are controlled by a master toggle and drawn with dynamic transparency:
- Further from 50 = stronger conviction = darker glow.
- Shows up in subpane and/or main chart depending on user preference.
📷 Suggested Use Case / Visual Setup
- Use in conjunction with your primary price action system.
- Watch for divergences between the Candle Count RSI and Standard RSI for early trend reversals.
- Use glow bias zones on the main chart to get subconscious directional cues during fast scalping.
- Histogram helps you confirm when both RSI variants agree—useful during strong trending conditions.
🛠️ Tip for Traders
- This tool isn’t trying to “predict” price. It’s designed to visualize hidden market psychology—when buyers are showing up with consistent pressure, or when momentum has a disconnect between conviction and magnitude. Use this to filter entries, spot weak rallies, or sense when a trend is about to break down.
⚠️ WARNING
- Not for use with Heikin Ashi, Renko, etc.).
🧠 Summary
Candle Count RSI is not just another mashup—it's a precision-built, dual-perspective oscillator that captures directional conviction using real candle behavior. Whether you're scalping intraday or swing trading momentum, this script helps clarify trend integrity and exposes hidden weaknesses with elegance and clarity.
—
🛠️ Built by: Sherlock_MacGyver
Feel free to share feedback or reach out if you'd like to collaborate on custom features.
RSI Trend RiderRSI Trend Rider is a long only, momentum-based trend-following strategy designed for rules based trading. It combines a setup of EMAs (20, 50, 200), RSI(4), ADX filtering, and a daily 120 EMA to capture high-probability long trades in trending markets.
Works best on intraday timeframes (2h, 4h)
Key Features:
Multi-timeframe trend confirmation (EMA alignment + daily EMA)
RSI(4) pullback entries in strong trends
ADX filter to avoid low-momentum conditions
Configurable fixed and EMA-based stop loss/target options
Built-in performance dashboard with key metrics like PnL, drawdown, win rate, and buy & hold comparison (can be turned off on mobile or small screens).
Customizable backtest period and risk settings
Ideal for traders looking for a simple, data-driven system that rides trends and compounds small, consistent wins.
Stochastic RSI and BB - RKDual-Power Indicator: Stochastic RSI and On-Chart Bollinger Bands!
I'm excited to present my latest Pine Script indicator, "Stochastic RSI and BB - RK." I designed this script to bring two of the most popular and effective technical analysis tools together into a single, cohesive view. By combining the power of Stochastic RSI in a lower pane with directly plotted Bollinger Bands on your main chart, I believe this indicator offers a unique advantage for identifying momentum shifts, overbought/oversold conditions, and volatility trends.
What I've Built In
I've carefully crafted this indicator with distinct features for both components:
1. Stochastic RSI (Lower Pane)
I've included a fully customizable Stochastic RSI in a separate pane below your main chart. This momentum oscillator helps you gauge whether an asset is overbought or oversold, based on its RSI value.
Smooth K & D Lines: I've provided inputs to fine-tune the smoothing periods for both the %K and %D lines, allowing you to adjust sensitivity to market noise.
RSI and Stochastic Lengths: You have full control over the lookback periods for both the underlying RSI calculation and the Stochastic process itself.
Customizable Source: I've made the RSI source adjustable, defaulting to close, but allowing you to experiment with other price types.
Clear Overbought/Oversold Zones: I've plotted standard 80 and 20 levels, along with a middle 50 line, and filled the area between 80 and 20 to easily visualize overbought and oversold regions.
2. On-Chart Bollinger Bands (Main Chart Overlay)
I've integrated Bollinger Bands directly onto your main price chart. These dynamic bands are a powerful tool for measuring volatility and identifying potential price reversal points.
Adjustable Length & Standard Deviation: I've included inputs for you to set the period for the moving average and the standard deviation multiplier, giving you flexibility to adapt to different instruments and timeframes.
Multiple MA Types: I've ensured you have a choice of popular moving average types for the basis of the bands: SMA, EMA, SMMA (RMA), WMA, or VWMA.
Offset Option: I've added an offset input for those who prefer to shift the bands horizontally.
Visual Clarity: The area between the upper and lower bands is filled, which I find greatly enhances readability and helps in quickly identifying periods of expansion or contraction.
How I Envision You Using This
I believe this dual-purpose indicator can be incredibly beneficial for confirming trade signals. For example, you might look for:
Potential Reversals: When price touches the Bollinger Band extremes while the Stochastic RSI is in an overbought/oversold zone and showing signs of turning.
Breakouts: When the Bollinger Bands narrow (indicating low volatility), followed by a breakout of the bands, confirmed by strong momentum on the Stochastic RSI.
Trend Confirmation: Using the Bollinger Bands to identify the prevailing trend and the Stochastic RSI to pick optimal entry and exit points within that trend.
I've put a lot of effort into making this a valuable tool for your trading arsenal. I truly hope this combination provides you with the clarity and edge needed to make more informed decisions.
If you find this script useful, please consider boosting it to show your support and encourage me to create more tools like this. Your feedback is highly appreciated as I constantly strive to improve.
I wish you all the best on your trading journey!
System 0530 - Stoch RSI 指标 (带ATR)Indicator Overview: System 0530 - Stoch RSI Signals (ATR Filtered)
This indicator displays potential long and short signals directly on your chart. It combines a dual-timeframe Stochastic RSI analysis (using the current chart timeframe and the 15-minute timeframe) with an ATR (Average True Range) volatility filter.
Signal Logic:
Initial Trigger: Based on Stochastic RSI crossovers and overbought/oversold levels on the current chart timeframe (e.g., 5-minute).
Confirmation: Seeks further confirmation from the 15-minute Stochastic RSI.
ATR Filter: An optional ATR filter helps ensure signals are considered only when market volatility is deemed sufficient.
Signal Cooldown: Prevents too many signals of the same direction in rapid succession.
Display:
Long Signals: Marked with a green upward triangle below the price bar.
Short Signals: Marked with a red downward triangle above the price bar.
Purpose: Designed to assist traders in identifying potential entry points based on Stochastic RSI conditions and market volatility. Users can adjust various parameters to suit different instruments and trading strategies.
System 0530 - Stoch RSI Strategy with ATR filterStrategy Description: System 0530 - Multi-Timeframe Stochastic RSI with ATR Filter
Overview:
This strategy, "System 0530," is designed to identify trading opportunities by leveraging the Stochastic RSI indicator across two different timeframes: a shorter timeframe for initial signal triggers (assumed to be the chart's current timeframe, e.g., 5-minute) and a longer timeframe (15-minute) for signal confirmation. It incorporates an ATR (Average True Range) filter to help ensure trades are taken during periods of adequate market volatility and includes a cooldown mechanism to prevent rapid, successive signals in the same direction. Trade exits are primarily handled by reversing signals.
How It Works:
1. Signal Initiation (e.g., 5-Minute Timeframe):
Long Signal Wait: A potential long entry is considered when the 5-minute Stochastic RSI %K line crosses above its %D line, AND the %K value at the time of the cross is at or below a user-defined oversold level (default: 30).
Short Signal Wait: A potential short entry is considered when the 5-minute Stochastic RSI %K line crosses below its %D line, AND the %K value at the time of the cross is at or above a user-defined overbought level (default: 70). When these conditions are met, the strategy enters a "waiting state" for confirmation from the 15-minute timeframe.
2. Signal Confirmation (15-Minute Timeframe):
Once in a waiting state, the strategy looks for confirmation on the 15-minute Stochastic RSI within a user-defined number of 5-minute bars (wait_window_5min_bars, default: 5 bars).
Long Confirmation:
The 15-minute Stochastic RSI %K must be greater than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be below a user-defined threshold (stoch_15min_long_entry_level, default: 40).
Short Confirmation:
The 15-minute Stochastic RSI %K must be less than or equal to its %D line.
The 15-minute Stochastic RSI %K value must be above a user-defined threshold (stoch_15min_short_entry_level, default: 60).
3. Filters:
ATR Volatility Filter: If enabled, trades are only confirmed if the current ATR value (converted to ticks) is above a user-defined minimum threshold (min_atr_value_ticks). This helps to avoid taking signals during periods of very low market volatility. If the ATR condition is not met, the strategy continues to wait for the condition to be met within the confirmation window, provided other conditions still hold.
Signal Cooldown Filter: If enabled, after a signal is generated, the strategy will wait for a minimum number of bars (min_bars_between_signals) before allowing another signal in the same direction. This aims to reduce overtrading.
4. Entry and Exit Logic:
Entry: A strategy.entry() order is placed when all trigger, confirmation, and filter conditions are met.
Exit: This strategy primarily uses reversing signals for exits. For example, if a long position is open, a confirmed short signal will close the long position and open a new short position. There are no explicit take profit or stop loss orders programmed into this version of the script.
Key User-Adjustable Parameters:
Stochastic RSI Parameters: RSI Length, Stochastic RSI Length, %K Smoothing, %D Smoothing.
Signal Trigger & Confirmation:
5-minute %K trigger levels for long and short.
15-minute %K confirmation thresholds for long and short.
Wait window (in 5-minute bars) for 15-minute confirmation.
Filters:
Enable/disable and configure the Signal Cooldown filter (minimum bars between signals).
Enable/disable and configure the ATR Volatility filter (ATR period, minimum ATR value in ticks).
Strategy Parameters:
Leverage Multiplier (Note: This primarily affects theoretical position sizing for backtesting calculations in TradingView and does not simulate actual leveraged trading risks).
Recommendations for Users:
Thorough Backtesting: Test this strategy extensively on historical data for the instruments and timeframes you intend to trade.
Parameter Optimization: Experiment with different parameter settings to find what works best for your trading style and chosen markets. The default values are starting points and may not be optimal for all conditions.
Understand the Logic: Ensure you understand how each component (Stochastic RSI on different timeframes, ATR filter, cooldown) interacts to generate signals.
Risk Management: Since this version does not include explicit stop-loss orders, ensure you have a clear risk management plan in place if trading this strategy live. You might consider manually adding stop-loss orders through your broker or using TradingView's separate strategy order settings for stop-loss if applicable.
Disclaimer:
This strategy description is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves significant risk of loss. Always do your own research and understand the risks before trading.
Quantum Volume Pulse Screener - Multi TimeframeQuantum Volume Pulse Screener - Multi Timeframe
Overview
The Quantum Volume Pulse Screener is a powerful Pine Script® indicator designed for TradingView to monitor multiple symbols across user-selected timeframes (1-minute or 5-minute). This tool provides traders with real-time insights into price action, Volume Weighted Average Price (VWAP), Relative Strength Index (RSI), and buy/sell signals for a curated list of high-profile stocks and ETFs, including SPY, QQQ, AAPL, AMZN, GOOG, GOOGL, META, AVGO, TSLA, and NFLX. The screener displays data in a clean, customizable table, enabling quick decision-making for active traders. Fully customizable to any ETFs or Stocks.
Key Features
Multi-Symbol Analysis: Tracks up to 10 user-defined symbols, defaulting to major ETFs (SPY, QQQ) and leading tech stocks (AAPL, AMZN, GOOG, GOOGL, META, AVGO, TSLA, NFLX).
Customizable Timeframe: Toggle between 1-minute and 5-minute timeframes for flexible analysis.
Comprehensive Metrics: Displays real-time data for:
Price: Current closing price with color-coded daily change (green for positive, pink for negative).
VWAP: Volume Weighted Average Price for intraday trend analysis.
RSI: 14-period RSI with overbought (>70, pink) and oversold (<30, green) highlights.
Signals: Generates "BUY" (RSI < 30), "SELL" (RSI > 70), or neutral ("-") signals.
Dynamic Table Display: Presents data in a clear, top-center table with up to 500 labels for historical reference.
Error Handling: Alerts users to invalid data (e.g., incorrect symbols or timeframes) and displays a weekend warning for stale data.
Real-Time Updates: Refreshes data on every bar to ensure accuracy during live trading sessions.
How It Works
The script fetches real-time data for each symbol using TradingView’s request.security function, calculating:
Price: Based on the current bar’s close.
VWAP: Computed using the HLC3 (High + Low + Close / 3) formula.
RSI: 14-period RSI to identify momentum and potential reversals.
Daily Change: Percentage change in price to gauge short-term performance.
Signals: RSI-based buy/sell triggers for quick trade identification.
The data is organized into arrays and displayed in a table with color-coded visuals for easy interpretation. Green indicates bullish conditions (e.g., RSI < 30 or positive daily change), while pink highlights bearish conditions (e.g., RSI > 70 or negative daily change).
Usage Instructions
Add to Chart: Apply the indicator to any TradingView chart.
Configure Settings:
Select the desired timeframe (1-minute or 5-minute) via the input menu.
Customize symbols by editing the ticker inputs (defaults to SPY, QQQ, AAPL, etc.).
Interpret the Table:
Monitor the table at the top-center of the chart for real-time updates.
Look for "BUY" or "SELL" signals based on RSI thresholds.
Use VWAP and price data to confirm trends or reversals.
Check for Warnings:
If "INVALID" appears, verify the symbol or timeframe settings.
On weekends, a warning advises switching to a daily timeframe due to potentially stale data.
Notes
License: This script is licensed under the Mozilla Public License 2.0 (mozilla.org).
Author: © StanTheTradingMan.
Limitations: Ensure symbols are correctly formatted (e.g., "NASDAQ:AAPL" for stocks, "SPY" for ETFs). Invalid symbols or unavailable data may trigger error messages.
Best Use Case: Ideal for day traders and swing traders monitoring multiple assets for short-term opportunities.
Why Use This Screener?
The Quantum Volume Pulse Screener consolidates critical market data into a single, visually intuitive interface, saving traders time and enhancing decision-making. Whether tracking major indices or individual stocks, this tool provides a real-time edge in fast-moving markets.
For support or feedback, refer to TradingView’s community forums or contact the author via TradingView. Happy trading!
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \
\Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\Calculation\
\
\ \Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\Interpretation\
\
\ \Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\Usage Notes & Warnings\
\
\ \Never Use DI in Isolation\
It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \Parameter Selection\
• \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing.
• \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Demand Index (Hybrid Sibbet) by TradeQUO\ Demand Index (Hybrid Sibbet) by TradeQUO \
\ Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\ Calculation\
\
\ \ Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \ Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \ Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \ Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \ Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \ Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \ Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\ Interpretation\
\
\ \ Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \ DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \ Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \ Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\ Usage Notes & Warnings\
\
\ \ Never Use DI in Isolation\
It is a \ filter\ and \ confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \ Parameter Selection\
• \ Vol EMA length (n₁)\ : Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \ Buy/Sell EMA length (n₂)\ : Typically 2 bars for fast smoothing.
• \ DI smoothing (n₃)\ : Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \ Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\ In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Adaptive Volume‐Demand‐Index (AVDI)Demand Index (according to James Sibbet) – Short Description
The Demand Index (DI) was developed by James Sibbet to measure real “buying” vs. “selling” strength (Demand vs. Supply) using price and volume data. It is not a standalone trading signal, but rather a filter and trend confirmer that should always be used together with chart structure and additional indicators.
---
\ 1. Calculation Basis\
1. Volume Normalization
$$
\text{normVol}_t
= \frac{\text{Volume}_t}{\mathrm{EMA}(\text{Volume},\,n_{\text{Vol}})_t}
\quad(\text{e.g., }n_{\text{Vol}} = 13)
$$
This smooths out extremely high volume spikes and compares them to the average (≈ 1 means “average volume”).
2. Price Factor
$$
\text{priceFactor}_t
= \frac{\text{Close}_t - \text{Open}_t}{\text{Open}_t}.
$$
Positive values for bullish bars, negative for bearish bars.
3. Component per Bar
$$
\text{component}_t
= \text{normVol}_t \times \text{priceFactor}_t.
$$
If volume is above average (> 1) and the price rises slightly, this yields a noticeably positive value; conversely if the price falls.
4. Raw DI (Rolling Sum)
Over a window of \$w\$ bars (e.g., 20):
$$
\text{RawDI}_t
= \sum_{i=0}^{w-1} \text{component}_{\,t-i}.
$$
Alternatively, recursively for \$t \ge w\$:
$$
\text{RawDI}_t
= \text{RawDI}_{t-1}
+ \text{component}_t
- \text{component}_{\,t-w}.
$$
5. Optional EMA Smoothing
An EMA over RawDI (e.g., \$n\_{\text{DI}} = 50\$) reduces short-term fluctuations and highlights medium-term trends:
$$
\text{EMA\_DI}_t
= \mathrm{EMA}(\text{RawDI},\,n_{\text{DI}})_t.
$$
6.Zero Line
Handy guideline:
RawDI > 0: Accumulated buying power dominates.
RawDI < 0: Accumulated selling power dominates.
2. Interpretation & Application
Crossing Zero
RawDI above zero → Indication of increasing buying pressure (potential long signal).
RawDI below zero → Indication of increasing selling pressure (potential short signal).
Not to be used alone for entry—always confirm with price action.
RawDI vs. EMA_DI
RawDI > EMA\_DI → Acceleration of demand.
RawDI < EMA\_DI → Weakening of demand.
Divergences
Price makes a new high, RawDI does not make a higher high → potential weakness in the uptrend.
Price makes a new low, RawDI does not make a lower low → potential exhaustion of the downtrend.
3. Typical Signals (for Beginners)
\ 1. Long Setup\
RawDI crosses zero from below,
RawDI > EMA\_DI (acceleration),
Price closes above a short-term swing high or resistance.
Stop-Loss: just below the last swing low, Take-Profit/Trailing: on reversal signals or fixed R\:R.
2. Short Setup
RawDI crosses zero from above,
RawDI < EMA\_DI (increased selling pressure),
Price closes below a short-term swing low or support.
Stop-Loss: just above the last swing high.
---
4. Notes and Parameters
Recommended Values (Beginners):
Volume EMA (n₍Vol₎) = 13
RawDI window (w) = 20
EMA over DI (n₍DI₎) = 50 (medium-term) or 1 (no smoothing)
Attention:\
NEVER use in isolation. Always in combination with price action analysis (trendlines, support/resistance, candlestick patterns).
Especially during volatile news phases, RawDI can fluctuate strongly → EMA\_DI helps to avoid false signals.
---
Conclusion The Demand Index by James Sibbet is a powerful filter to assess price movements by their volume backing. It shows whether a rally is truly driven by demand or merely a short-term volume anomaly. In combination with classic chart analysis and risk management, it helps to identify robust entry points and potential trend reversals earlier.
TrendMaster Pro 2.3 with Alerts
Hello friends,
A member of the community approached me and asked me how to write an indicator that would achieve a particular set of goals involving comprehensive trend analysis, risk management, and session-based trading controls. Here is one example method of how to create such a system:
Core Strategy Components
Multi-Moving Average System - Uses configurable MA types (EMA, SMA, SMMA) with short-term (9) and long-term (21) periods for primary signal generation through crossovers
Higher Timeframe Trend Filter - Optional trend confirmation using a separate MA (default 50-period) to ensure trades align with broader market direction
Band Power Indicator - Dynamic high/low bands calculated using different MA types to identify price channels and volatility zones
Advanced Signal Filtering
Bollinger Bands Volatility Filter - Prevents trading during low-volatility ranging markets by requiring sufficient band width
RSI Momentum Filter - Uses customizable thresholds (55 for longs, 45 for shorts) to confirm momentum direction
MACD Trend Confirmation - Ensures MACD line position relative to signal line aligns with trade direction
Stochastic Oscillator - Adds momentum confirmation with overbought/oversold levels
ADX Strength Filter - Only allows trades when trend strength exceeds 25 threshold
Session-Based Trading Management
Four Trading Sessions - Asia (18:00-00:00), London (00:00-08:00), NY AM (08:00-13:00), NY PM (13:00-18:00)
Individual Session Limits - Separate maximum trade counts for each session (default 5 per session)
Automatic Session Closure - All positions close at specified market close time
Risk Management Features
Multiple Stop Loss Options - Percentage-based, MA cross, or band-based SL methods
Risk/Reward Ratio - Configurable TP levels based on SL distance (default 1:2)
Auto-Risk Calculation - Dynamic position sizing based on dollar risk limits ($150-$250 range)
Daily Limits - Stop trading after reaching specified TP or SL counts per day
Support & Resistance System
Multiple Pivot Types - Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla calculations
Flexible Timeframes - Auto-adjusting or manual timeframe selection for S/R levels
Historical Levels - Configurable number of past S/R levels to display
Visual Customization - Individual color and display settings for each S/R level
Additional Features
Alert System - Customizable buy/sell alert messages with once-per-bar frequency
Visual Trade Management - Color-coded entry, SL, and TP levels with fill areas
Session Highlighting - Optional background colors for different trading sessions
Comprehensive Filtering - All signals must pass through multiple confirmation layers before execution
This approach demonstrates how to build a professional-grade trading system that combines multiple technical analysis methods with robust risk management and session-based controls, suitable for algorithmic trading across different market sessions.
Good luck and stay safe!
RSI by Harsh Bhagat (VITTAARA)This is a customised RSI indicator designed for pro traders who want to stay ahead in the market.
🚀 Key Features:
• Standard RSI with precision tuning
• Two Upper Bands: 60 & 65 for smart overbought tracking
• Two Lower Bands: 40 & 38 for sharp oversold alerts
• Dual-tone color scheme for better visual clarity
Ideal for identifying reversal zones, trend weakness, and momentum shift — with an edge.
Estratégia Integrada para DaytradingTreasury 5H Strategy Description for TradingView
Uncover Market Signals with Integrated and Exclusive Analysis
Introducing the Treasury 5H, an advanced and highly customizable technical analysis tool for traders seeking a deeper, more integrated view of the market. This robust indicator has been meticulously developed to combine the strength of established technical indicators with the intelligence of two proprietary and exclusive components: the Treasury Oscillator and Multi-Asset Correlation. The result is a powerful system that delivers buy and sell signals based on the confluence of multiple analyses, providing a unique perspective not found in other available tools.
A Symphony of Technical Indicators
The Treasury 5H harmonizes different analytical approaches to capture various facets of price movement. It incorporates classic indicators like the DMI (Directional Movement Index), ideal for identifying trend direction and strength, allowing you to filter out noise and focus on more significant movements. Alongside the DMI, the indicator utilizes the MACD (Moving Average Convergence Divergence), a versatile momentum oscillator that helps detect changes in the strength, direction, and duration of a trend. Complementing the trend and momentum analysis, a configurable Moving Average (SMA, EMA, WMA, or VWMA) provides a dynamic baseline to assess the current price position, helping to confirm the prevailing market direction.
The Exclusive Advantage: Treasury Oscillator and Multi-Asset Correlation
The true differentiator of the Treasury 5H lies in its exclusive components, developed in-house and unavailable on any other platform. The Treasury Oscillator is an innovation that allows you to compare the normalized performance of the main asset you are analyzing with up to three other assets of your choice, such as treasury bonds (Treasuries), currencies, or other relevant indices. By calculating a standard deviation score for each asset relative to its averages, the oscillator identifies performance divergences and convergences, offering valuable insights into relative strength and potential inflection points that isolated indicators might miss.
Additionally, the Multi-Asset Correlation indicator offers another layer of exclusive intermarket analysis. It calculates and compares the normalized percentage change of the main asset with up to three other user-selected assets over a defined period. This performance correlation analysis helps understand how the main asset is moving relative to other correlated (or uncorrelated) markets or instruments, providing crucial context about capital flow and overall market sentiment. The combination of these two proprietary indicators offers unprecedented analytical depth.
Unmatched Flexibility and Customization
We understand that every trader and every asset is unique. Therefore, the Treasury 5H was designed with an exceptional level of flexibility. You have full control to individually enable or disable each of the five components (DMI, MACD, Moving Average, Treasury Oscillator, Multi-Asset Correlation), allowing you to tailor the analysis to your specific preferences and strategies. Furthermore, all parameters are adjustable, from the calculation periods of each indicator (DMI, MACD, MAs, Oscillator and Correlation Periods) to reference levels (like the minimum ADX level) and the symbols of the assets to be compared in the proprietary modules. This fine-tuning capability ensures the indicator can be optimized for different assets, timeframes, and market conditions.
To further refine your strategy and increase signal precision, the Treasury 5H includes a powerful configurable trading session filter. This feature allows you to define up to three specific time periods during the day when the indicator's signals will be completely inactive. Use this strategic tool to avoid receiving signals and trading during hours known for low liquidity, unwanted excessive volatility, or simply outside your preferred operating window, ensuring you only act when market conditions are more favorable to your approach. Visual settings are also customizable, allowing you to adjust the colors for buy and sell signals, the transparency of the bar coloring, and the option to show or hide the Moving Average on the chart.
Clear and Integrated Signals
The Treasury 5H generates clear buy or sell signals when all selected and active indicators point in the same direction, ensuring a confluence-based approach for greater robustness. If the time filter is active, signals will only be generated during permitted operating periods. The signal state is visually represented by bar coloring: one color for the initial entry candle (buy or sell), a lighter shade for signal continuation, and optionally, a neutral color for periods defined as inactive. To facilitate monitoring, the indicator includes configurable alerts for new signal entries and when an existing signal is invalidated. Additionally, an information table in the corner of the chart displays the current status (buy, sell, or neutral) of each individual component and the final integrated signal, offering full transparency into the indicator's logic.
Acquire Your Competitive Edge
The Treasury 5H is not just another indicator; it's a comprehensive analysis system that integrates standard tools with exclusive, proprietary intermarket analyses. Its high degree of customization allows it to be adapted to virtually any trading style and asset. By incorporating the Treasury Oscillator and Multi-Asset Correlation, you gain insights simply unavailable in other tools. Elevate your technical analysis and make more informed trading decisions with the Treasury 5H.
How to Use the Treasury 5H Indicator
The Treasury 5H is designed as a powerful tool to complement and confirm your own market analysis, not as a standalone trading system. The key to extracting maximum value from this indicator lies in its intelligent integration with your personal analytical approach, whether focused on technical, fundamental, macroeconomic aspects, or a combination thereof.
The recommended workflow begins with your in-depth analysis of the asset and market context. Identify potential opportunities, support and resistance levels, trends, and relevant patterns based on your preferred methods. Once you have a clear view and a trade hypothesis, patiently wait for the Treasury 5H to generate a buy or sell signal that aligns with and corroborates your analysis. Always remember: the indicator provides a possible entry signal based on the confluence of active components, but the final decision to execute the trade must always be yours, validated by your own market reading.
When a signal is generated, it is visually highlighted by the bar's color (blue for buy, red for sell, by default). This first opaque colored bar indicates the initial moment of signal confluence. Subsequent bars, with the same color but more transparent, signal that the conditions that generated the initial signal still persist, and the asset is theoretically continuing in the indicated direction. However, how you act after the signal depends on your strategy. Many traders prefer not to enter immediately on the first signal bar but rather wait for additional confirmation, such as a pullback towards the signal bar or a clear breakout above the high (for buys) or below the low (for sells) of that bar. Test and adapt your entry strategy to find what works best for you in conjunction with the Treasury 5H signals.
Contact me privately for questions, suggestions, or adjustments.
Custom RSI with 4 BandsThis is Customized RSI Indicator with advanced settings only for Pro Traders by Vittaara
Momentum Fusion v1Momentum Fusion v1
Overview
Momentum Fusion v1 (MFusion) is a multi-oscillator indicator that combines several components to analyze market momentum and trend strength. It incorporates modified versions of classic indicators such as PVI (Positive Volume Index), NVI (Negative Volume Index), MFI (Money Flow Index), RSI, Stochastic, and Bollinger Bands Oscillator. The indicator displays a histogram that changes color based on momentum strength and includes "FUSION🔥" signal labels when extreme values are reached.
Indicator Settings
Parameters:
EMA Length – Smoothing period for the moving average (default: 255).
Smoothing Period – Internal calculation smoothing parameter (default: 15).
BB Multiplier – Standard deviation multiplier for Bollinger Bands (default: 2.0).
Show verde / marron / media lines – Toggles the display of auxiliary lines.
Show FUSION🔥 label – Enables/disables signal labels.
Indicator Components
1. PVI (Positive Volume Index)
Formula:
pvi := volume > volume ? nz(pvi ) + (close - close ) / close * sval : nz(pvi )
Description:
PVI increases when volume rises compared to the previous bar and accounts for price percentage change. The stronger the price movement with increasing volume, the higher the PVI value.
2. NVI (Negative Volume Index)
Formula:
nvi := volume < volume ? nz(nvi ) + (close - close ) / close * sval : nz(nvi )
Description:
NVI tracks price movements during declining volume. If the price rises on low volume, it may indicate a "stealth" trend.
3. Money Flow Index (MFI)
Formula:
100 - 100 / (1 + up / dn)
Description:
An oscillator measuring money flow strength. Values above 80 suggest overbought conditions, while values below 20 indicate oversold conditions.
4. Stochastic Oscillator
Formula:
k = 100 * (close - lowest(low, length)) / (highest(high, length) - lowest(low, length))
Description:
A classic stochastic oscillator showing price position relative to the selected period's range.
5. Bollinger Bands Oscillator
Formula:
(tprice - BB midline) / (upper BB - lower BB) * 100
Description:
Indicates the price position relative to Bollinger Bands in percentage terms.
Key Lines & Histogram
1. Verde (Green Line)
Calculation:
verde = marron + oscp (normalized PVI)
Interpretation:
Higher values indicate stronger bullish momentum. A FUSION🔥 signal appears when the value reaches 750+.
2. Marron (Brown Line)
Calculation:
marron = (RSI + MFI + Bollinger Osc + Stochastic / 3) / 2
Interpretation:
A composite oscillator combining multiple indicators. Higher values suggest overbought conditions.
3. Media (Red Line)
Calculation:
media = EMA of marron with smoothing period
Interpretation:
Acts as a signal line for trend confirmation.
4. Histogram
Calculation:
histo = verde - marron
Colors:
Bright green (>100) – Strong bullish momentum.
Light green (>0) – Moderate bullish momentum.
Orange (<0) – Bearish momentum.
Red (<-100) – Strong bearish momentum.
Signals & Alerts
1. FUSION🔥 (Strong Momentum)
Condition:
verde >= 750
Visualization:
A "FUSION🔥" label appears below the chart.
Alert:
Can be set to trigger notifications when the condition is met.
2. Background Aura
Condition:
verde > 850
Visualization:
The chart background turns teal, indicating extreme momentum.
Usage Recommendations
FUSION🔥 Signal – Can be used as a long entry point when confirmed by other indicators.
Histogram:
1. Green bars – Potential long entry.
2. Red/orange bars – Potential short entry.
3. Media & Marron Crossover – Can serve as an additional trend filter.
4. Suitable for a 5-15 minute time frame
Conclusion
Momentum Fusion v1 is a powerful tool for momentum analysis, combining multiple indicators into a unified system. It is suitable for:
Trend traders (catching strong movements).
Scalpers (identifying short-term impulses).
Swing traders (filtering entry points).
The indicator features customizable settings and visual signals, making it adaptable to various trading styles.
Contrarian Crowd OscillatorEver enter a trade because it looks super bullish or bearish and immediately goes the other way?
The Contrarian Crowd Oscillator identifies dangerous market sentiment extremes by synthesizing multiple technical indicators into a single powerful contrarian signal. Stop getting trapped in crowded trades and start profiting from crowd psychology!
What This Indicator Does
This oscillator combines 6 different technical perspectives (RSI, Stochastic, Williams %R, CCI, ROC, and MFI) to measure market consensus and identify when sentiment becomes dangerously one-sided. It answers the critical question: "Is everyone thinking the same thing right now?"
Why This Works
Market psychology is predictable. When everyone becomes extremely bullish or bearish, they create unsustainable conditions:
Extreme Bullishness: No buyers left to push prices higher
Extreme Bearishness: No sellers left to push prices lower
High Consensus: Crowded trades become vulnerable to sudden reversals
This oscillator quantifies these psychological extremes and gives you the edge to trade against the crowd when they're most likely to be wrong.
Treasury 5HTreasury 5H Indicator Description for TradingView
Uncover Market Signals with Integrated and Exclusive Analysis
Introducing the Treasury 5H, an advanced and highly customizable technical analysis tool for traders seeking a deeper, more integrated view of the market. This robust indicator has been meticulously developed to combine the strength of established technical indicators with the intelligence of two proprietary and exclusive components: the Treasury Oscillator and Multi-Asset Correlation. The result is a powerful system that delivers buy and sell signals based on the confluence of multiple analyses, providing a unique perspective not found in other available tools.
A Symphony of Technical Indicators
The Treasury 5H harmonizes different analytical approaches to capture various facets of price movement. It incorporates classic indicators like the DMI (Directional Movement Index), ideal for identifying trend direction and strength, allowing you to filter out noise and focus on more significant movements. Alongside the DMI, the indicator utilizes the MACD (Moving Average Convergence Divergence), a versatile momentum oscillator that helps detect changes in the strength, direction, and duration of a trend. Complementing the trend and momentum analysis, a configurable Moving Average (SMA, EMA, WMA, or VWMA) provides a dynamic baseline to assess the current price position, helping to confirm the prevailing market direction.
The Exclusive Advantage: Treasury Oscillator and Multi-Asset Correlation
The true differentiator of the Treasury 5H lies in its exclusive components, developed in-house and unavailable on any other platform. The Treasury Oscillator is an innovation that allows you to compare the normalized performance of the main asset you are analyzing with up to three other assets of your choice, such as treasury bonds (Treasuries), currencies, or other relevant indices. By calculating a standard deviation score for each asset relative to its averages, the oscillator identifies performance divergences and convergences, offering valuable insights into relative strength and potential inflection points that isolated indicators might miss.
Additionally, the Multi-Asset Correlation indicator offers another layer of exclusive intermarket analysis. It calculates and compares the normalized percentage change of the main asset with up to three other user-selected assets over a defined period. This performance correlation analysis helps understand how the main asset is moving relative to other correlated (or uncorrelated) markets or instruments, providing crucial context about capital flow and overall market sentiment. The combination of these two proprietary indicators offers unprecedented analytical depth.
Unmatched Flexibility and Customization
We understand that every trader and every asset is unique. Therefore, the Treasury 5H was designed with an exceptional level of flexibility. You have full control to individually enable or disable each of the five components (DMI, MACD, Moving Average, Treasury Oscillator, Multi-Asset Correlation), allowing you to tailor the analysis to your specific preferences and strategies. Furthermore, all parameters are adjustable, from the calculation periods of each indicator (DMI, MACD, MAs, Oscillator and Correlation Periods) to reference levels (like the minimum ADX level) and the symbols of the assets to be compared in the proprietary modules. This fine-tuning capability ensures the indicator can be optimized for different assets, timeframes, and market conditions.
To further refine your strategy and increase signal precision, the Treasury 5H includes a powerful configurable trading session filter. This feature allows you to define up to three specific time periods during the day when the indicator's signals will be completely inactive. Use this strategic tool to avoid receiving signals and trading during hours known for low liquidity, unwanted excessive volatility, or simply outside your preferred operating window, ensuring you only act when market conditions are more favorable to your approach. Visual settings are also customizable, allowing you to adjust the colors for buy and sell signals, the transparency of the bar coloring, and the option to show or hide the Moving Average on the chart.
Clear and Integrated Signals
The Treasury 5H generates clear buy or sell signals when all selected and active indicators point in the same direction, ensuring a confluence-based approach for greater robustness. If the time filter is active, signals will only be generated during permitted operating periods. The signal state is visually represented by bar coloring: one color for the initial entry candle (buy or sell), a lighter shade for signal continuation, and optionally, a neutral color for periods defined as inactive. To facilitate monitoring, the indicator includes configurable alerts for new signal entries and when an existing signal is invalidated. Additionally, an information table in the corner of the chart displays the current status (buy, sell, or neutral) of each individual component and the final integrated signal, offering full transparency into the indicator's logic.
Acquire Your Competitive Edge
The Treasury 5H is not just another indicator; it's a comprehensive analysis system that integrates standard tools with exclusive, proprietary intermarket analyses. Its high degree of customization allows it to be adapted to virtually any trading style and asset. By incorporating the Treasury Oscillator and Multi-Asset Correlation, you gain insights simply unavailable in other tools. Elevate your technical analysis and make more informed trading decisions with the Treasury 5H.
How to Use the Treasury 5H Indicator
The Treasury 5H is designed as a powerful tool to complement and confirm your own market analysis, not as a standalone trading system. The key to extracting maximum value from this indicator lies in its intelligent integration with your personal analytical approach, whether focused on technical, fundamental, macroeconomic aspects, or a combination thereof.
The recommended workflow begins with your in-depth analysis of the asset and market context. Identify potential opportunities, support and resistance levels, trends, and relevant patterns based on your preferred methods. Once you have a clear view and a trade hypothesis, patiently wait for the Treasury 5H to generate a buy or sell signal that aligns with and corroborates your analysis. Always remember: the indicator provides a possible entry signal based on the confluence of active components, but the final decision to execute the trade must always be yours, validated by your own market reading.
When a signal is generated, it is visually highlighted by the bar's color (blue for buy, red for sell, by default). This first opaque colored bar indicates the initial moment of signal confluence. Subsequent bars, with the same color but more transparent, signal that the conditions that generated the initial signal still persist, and the asset is theoretically continuing in the indicated direction. However, how you act after the signal depends on your strategy. Many traders prefer not to enter immediately on the first signal bar but rather wait for additional confirmation, such as a pullback towards the signal bar or a clear breakout above the high (for buys) or below the low (for sells) of that bar. Test and adapt your entry strategy to find what works best for you in conjunction with the Treasury 5H signals.
4 EMA Dr_No_Lambo 4 Baller🔵🟢🟡🔴 4 EMA Trend Signal Indicator with Alerts
Author: Dr_Lambo
Script Name: 4 EMA Indicator with Alerts
📌 Overview
This indicator plots four key EMAs (Exponential Moving Averages) commonly used by professional traders to identify trend strength, momentum shifts, and dynamic support/resistance zones.
EMA 8 – 🔵 Blue: Short-term price action
EMA 13 – 🟢 Green: Trend confirmation line
EMA 21 – 🟡 Yellow: Medium-term trend guide
EMA 55 – 🔴 Red: Long-term trend anchor
🚨 Alert System
Built-in alerts for key crossovers:
✅ Buy Alert – When EMA 8 crosses above EMA 13
❌ Sell Alert – When EMA 8 crosses below EMA 13
These alerts help traders catch early trend shifts without staring at charts all day.
🧠 How to Use
Bullish Bias: All EMAs aligned upwards (8 > 13 > 21 > 55)
Bearish Bias: All EMAs aligned downwards (8 < 13 < 21 < 55)
Use crossover alerts for potential entry signals, and EMA 21/55 as dynamic stop or exit zones.
⚙️ Ideal For:
Trend traders
Intraday and swing trading
Forex, Gold, Crypto, Stocks
MACD_RSI_GradientThis calculates the gradients for the MACD Histogram and the gradient of the RSI and compares them in order to gauge momentum
