EMA Distance OscillatorI was inspired to make this because I rely on ema trading in my SPY day trading strategy.
## 📈 **EMA Distance Oscillator**
**Author:** *Your Name or Alias*
**Category:** Trend Strength / Momentum
**Timeframes:** Optimized for 1–5min, works on all
---
### 🔍 **What It Does**
The **EMA Distance Oscillator** is a dual-purpose tool that helps visualize **momentum shifts**, **trend strength**, and **EMA divergence/convergence** in real time.
It plots two separate signals:
#### 1. 🟩 Histogram Bars
A zero-centered histogram that shows the **difference between two EMAs** (default: EMA 48 and EMA 200).
- Color-coded based on:
- Whether the EMA spread is **above or below zero**
- Whether the spread is **increasing or decreasing**
- Helps visualize **trend acceleration** or **loss of momentum**
#### 2. 📉 Delta Line
A smooth line showing the **difference between a second EMA pair** (default: EMA 13 and EMA 48).
- Color-coded:
- **White** when rising (spread widening)
- **Gray** when falling (spread tightening)
---
### ⚙️ **Customizable Inputs**
You have full control over:
- EMA lengths for **both histogram and line**
- Smoothing for each plot
- Colors for each bar state and line condition
- Momentum thresholds (±1 by default, adjustable)
---
### 🧠 **How to Use It**
- Use the **bar histogram** to quickly spot moments when short-term and long-term EMAs are diverging or converging
- Use the **delta line** to track smoother shifts in short-term momentum
- Look for:
- Expanding green bars = uptrend gaining strength
- Shrinking bars = potential reversals or cooldowns
- Line crossing zero = EMA crossover (fast vs slow)
- **Threshold lines** at +1 / -1 help mark **high-momentum zones** (fully customizable)
---
### 🧭 **Pro Tips**
- Try with EMA 13/48 for the line and EMA 48/200 for the histogram on 1–5min charts
- Add alerts (optional) for when:
- Histogram changes color (momentum flip)
- Line crosses zero
- Threshold levels are breached
---
Let me know if you want me to help prep alert conditions or auto-generate different versions (e.g., strategy version, simplified mode, mobile-friendly layout, etc).
Oscillatori
Price Range Deviation📌 Description: Price Range Deviation Indicator
This indicator measures how much a stock has moved over a recent period (e.g., 15 days) and compares that move to the average move of similar-length windows over a longer lookback period (e.g., 1 year or 252 days).
It helps identify when a stock has made an unusually large move compared to its historical norm — which can signal that the move is overextended.
📊 How It Works:
Recent Move ($): The absolute price change over the selected recent period.
Average Move ($): The average absolute price change over rolling windows of the same size across the full lookback period.
Move Ratio: The current move divided by the average move.
When the move ratio exceeds a custom threshold (e.g., 1.5× the average), the background highlights red to signal that the move is unusually large.
💡 Use Case:
Ideal for options traders looking to:
Identify overextended price moves
Sell out-of-the-money calls or puts beyond a high-move zone
Fade price exhaustion with high probability setups
RSI Price LadderFX:XAUUSD
Overview
RSI Price Ladder is an indicator that visualizes RSI levels mapped directly to price levels across multiple timeframes.
It helps traders see where the RSI will reach certain threshold values (like 30, 50, 70) in terms of price, without calculating manually.
It dynamically draws ladder lines (price levels) based on user-defined RSI targets, allowing clear visualization of RSI movements versus price action.
Purpose for Traders
Forecast Price Zones: Understand at which price levels RSI would hit oversold/overbought zones.
Multi-Timeframe Analysis: Monitor RSI-price relationships across multiple timeframes simultaneously (e.g., M5, M15, H1, H4).
Timing Entries and Exits: Plan precise entries or exits based on expected RSI behavior without switching between charts.
Visual Clarity: Simplifies multi-timeframe RSI tracking by ladder-style price mapping directly on the current chart.
Configuration
RSI length: The period for RSI calculation (default 14).
RSI Target Levels (1–7): Define up to 7 custom RSI levels (e.g., 20, 30, 40, 50, 60, 70, 80).
Spacing Between Ladders: Horizontal spacing between different timeframe ladders on the chart.
Pointer Colors: Customize colors for current RSI, EMA(9) of RSI, and WMA(45) of RSI.
Show TF1–TF4: Toggle visibility of up to four different timeframe ladders.
Interval TF1–TF4: Select timeframes to draw ladders (choices from 1m to 1W including 3D).
Ladder Colors: Customize the ladder color for each timeframe separately.
How to read data
See explaination:
How to use
The primary goal of this indicator is to help traders easily and accurately see price levels corresponding to specific RSI values .
Identifying Multi-Timeframe Support and Resistance
According to RSI behavior:
- In an uptrend, RSI tends to find support around 40, previous RSI bottoms, and the WMA45.
- In a downtrend, RSI tends to face resistance around 60, previous RSI tops, and the WMA45.
Using the RSI Price Ladder, you can accurately pinpoint the exact price levels corresponding to these RSI support and resistance zones.
Defining Entry Zones, Stop Loss, and Take-Profit Areas Based on RSI
For example:
By observing RSI behavior, I noticed a downward trend forming.
On both M15 and H1 timeframes, RSI resistance levels align with the price zone around 3043–3054.
Thus, I can plan a sell trade in this entry zone:
- Stop loss: If RSI breaks above the resistance level, which also corresponds to a price resistance.
- Take-profits at two areas:
RSI support on M5 at RSI 30, corresponding to price 3007.
RSI support on M15 at RSI 30, corresponding to price 2988.
You see, with the ladder, we can directly visualize the price levels corresponding to RSI points on the chart, making decision-making more intuitive.
Result:
The price successfully hit TP1 and TP2.
Visualizing Buying and Selling Strength Across Timeframes
The indicator helps track the correlation of buying and selling strength across different timeframes at the same time. For instance: when selling pressure increases, higher timeframe RSI will typically be higher than lower timeframe RSI. Visualizing this makes it easier to observe and connect price movements across multiple timeframes quickly and clearly.
Visualizing When Combining with Other Methods
In this example:
- RSI shows support around 27.
- Instantly, on the price chart, I notice that the RSI 27 level aligns with the EMA200, a major dynamic price support.
Thus, a long setup can be considered:
- Entry: Near this confluence zone.
- Stop loss: Below the EMA200 or if RSI drops to 20.
Summary
RSI Price Ladder gives traders a powerful visual tool to link RSI behavior to real price levels across multiple timeframes, enhancing strategic entry/exit planning without needing to flip charts.
- Save time spotting RSI targets.
- Stay organized across multiple timeframes.
- Customize the entire ladder experience from colors to intervals.
[SM-042] EMA 5-8-13 with ADX FilterWhat is the strategy?
The strategy combines three exponential moving averages (EMAs) — 5, 8, and 13 periods — with an optional ADX (Average Directional Index) filter. It is designed to enter long or short positions based on EMA crossovers and to exit positions when the price crosses a specific EMA. The ADX filter, if enabled, adds a condition that only allows trades when the ADX value is above a certain threshold, indicating trend strength.
Who is it for?
This strategy is for traders leveraging EMAs and trend strength indicators to make trade decisions. It can be used by anyone looking for a simple trend-following strategy, with the flexibility to adjust for trend strength using the ADX filter.
When is it used?
- **Long trades**: When the 5-period EMA crosses above the 8-period EMA, with an optional ADX condition (if enabled) that requires the ADX value to be above a specified threshold.
- **Short trades**: When the 5-period EMA crosses below the 8-period EMA, with the ADX filter again optional.
- **Exits**: The strategy exits a long position when the price falls below the 13-period EMA and exits a short position when the price rises above the 13-period EMA.
Where is it applied?
This strategy is applied on a chart with any asset on TradingView, with the EMAs and ADX plotted for visual reference. The strategy uses `strategy.entry` to open positions and `strategy.close` to close them based on the set conditions.
Why is it useful?
This strategy helps traders identify trending conditions and filter out potential false signals by using both EMAs (to capture short-term price movements) and the ADX (to confirm the strength of the trend). The ADX filter can be turned off if not desired, making the strategy flexible for both trending and range-bound markets.
How does it work?
- **EMA Crossover**: The strategy enters a long position when the 5-period EMA crosses above the 8-period EMA, and enters a short position when the 5-period EMA crosses below the 8-period EMA.
- **ADX Filter**: If enabled, the strategy checks whether the ADX value is above a set threshold (default is 20) before allowing a trade.
- **Exit Conditions**: Long positions are closed when the price falls below the 13-period EMA, and short positions are closed when the price rises above the 13-period EMA.
- **Plotting**: The strategy plots the three EMAs and the ADX value on the chart for visualization. It also displays a horizontal line at the ADX threshold.
This setup allows for clear decision-making based on the interaction between different time-frame EMAs and trend strength as indicated by ADX.
Deadzone Pro @DaviddTechDeadzone Pro by @DaviddTech – Adaptive Multi-Strategy NNFX Trading System
Deadzone Pro by @DaviddTech is a meticulously engineered trading indicator that strictly adheres to the No-Nonsense Forex (NNFX) methodology. It integrates adaptive trend detection, dual confirmation indicators, advanced volatility filtering, and dynamic risk management into one powerful, visually intuitive system. Ideal for traders seeking precision and clarity, this indicator consistently delivers high-probability trade setups across all market conditions.
🔥 Key Features:
The Setup:
Adaptive Hull Moving Average Baseline: Clearly identifies trend direction using an advanced, gradient-colored Hull MA that intensifies based on trend strength, providing immediate visual clarity.
Dual Confirmation Indicators: Combines Waddah Attar Explosion (momentum detector) and Bull/Bear Power (strength gauge) for robust validation, significantly reducing false entries.
Volatility Filter (ADX): Ensures entries are only made during strong trending markets, filtering out weak, range-bound scenarios for enhanced trade accuracy.
Dynamic Trailing Stop Loss: Implements a SuperTrend-based trailing stop using adaptive ATR calculations, managing risk effectively while optimizing exits.
Dashboard:
💎 Gradient Visualization & User Interface:
Dynamic gradient colors enhance readability, clearly indicating bullish/bearish strength.
Comprehensive dashboard summarizes component statuses, real-time market sentiment, and entry conditions at a glance.
Distinct and clear buy/sell entry and exit signals, with adaptive stop-loss levels visually plotted.
Candlestick coloring based on momentum signals (Waddah Attar) for intuitive market reading.
📈 How to Interpret Signals:
Bullish Signal: Enter when Hull MA baseline trends upward, both confirmation indicators align bullish, ADX indicates strong trend (>25), and price breaks above the previous trailing stop.
Bearish Signal: Enter short or exit long when Hull MA baseline trends downward, confirmations indicate bearish momentum, ADX confirms trend strength, and price breaks below previous trailing stop.
📊 Recommended Usage:
Timeframes: Ideal on 1H, 4H, and Daily charts for swing trading; effective on shorter (5M, 15M) charts for day trading.
Markets: Compatible with Forex, Crypto, Indices, Stocks, and Commodities.
The Entry & Exit:
🎯 Trading Styles:
Choose from three distinct trading modes:
Conservative: Requires full alignment of all indicators for maximum accuracy.
Balanced (Default): Optimized balance between signal frequency and reliability.
Aggressive: Fewer confirmations needed for more frequent trading signals.
📝 Credits & Originality:
Deadzone Pro incorporates advanced concepts inspired by:
Hull Moving Average by @Julien_Eche
Waddah Attar Explosion by @LazyBear
Bull Bear Power by @Pinecoders
ADX methodology by @BeikabuOyaji
This system has been significantly refactored and enhanced by @DaviddTech to maximize synergy, clarity, and usability, standing apart distinctly from its original components.
Deadzone Pro exemplifies precision and discipline, aligning fully with NNFX principles to provide traders with a comprehensive yet intuitive trading advantage.
RSI + ADX + ATR Combo Indicator: RSI + ADX + ATR Combo Filter
This indicator is a confluence filter tool that combines RSI, ADX, and ATR into a single, easy-to-read chart overlay. It is designed to help traders identify low-volatility, non-trending zones with balanced momentum—ideal for strategies that rely on breakouts or reversals.
🔍 Core Components:
RSI (Relative Strength Index)
Standard RSI with custom upper and lower bounds (default: 60 and 40).
Filters out extreme overbought/oversold regions and focuses on price consolidation zones.
ADX (Average Directional Index)
Measures trend strength.
When ADX is below a custom threshold (default: 20), it indicates a weak or range-bound trend.
ATR (Average True Range)
Represents volatility.
Low ATR values (default threshold: 2.5) are used to filter out high-volatility environments, helping refine entries.
🟣 Signal Logic:
A signal is highlighted with a background color when all three conditions are met:
RSI is between lower and upper bounds (e.g., 40 < RSI < 60) ✅
ADX is below the trend threshold (e.g., ADX < 20) ✅
ATR is below the volatility threshold (e.g., ATR < 2.5) ✅
These combined conditions suggest a low-volatility, low-trend strength, and balanced momentum zone—perfect for anticipating breakouts or strong directional moves.
RMH MidTermThis script combines technical indicators (RSI and MACD), the trend of the HYG ETF, and a long-term moving average to detect buying or selling opportunities in markets with a medium-term bias.
Buy when the RSI breaks out of oversold territory, the MACD crosses upward, the HYG shows relative strength, and the price is above the 200-day moving average.
Sell when the RSI enters overbought territory, the MACD crosses downward, the HYG shows weakness, and the price falls below the 200-day moving average.
It also marks global trend changes using the 200-day moving average as a reference.
Boosted Scalp Sniper🚀 Boosted Scalp Sniper | EMA, RSI & Volume Combination 🚀
An effective indicator designed for traders who want to execute fast and aggressive scalp trades!
Features:
EMA Cross (2 and 5 periods): Captures ultra-fast trend reversals using short-term EMA crossovers.
Dynamic RSI (7 period, 40-60 range): Confirms the strength and direction of momentum.
Volume Filter: Ensures more reliable trade signals by requiring volume to be above the 10-bar average.
How to Use:
A Buy (▲) signal indicates a potential short-term upward opportunity.
A Sell (▼) signal indicates a potential short-term downward opportunity.
You can test this indicator across different timeframes (1D, 1H, 15M, 5M, etc.) and optimize it to suit your trading style.
Important Notes:
This indicator provides visual entry signals only; apply your own risk management strategy.
Always use a stop-loss in your real trades to protect capital.
Good luck and happy trading! 📈
Stochastic Overlay [NLR]If you've ever traded with the Stochastic oscillator, you probably love its ability to gauge momentum and overbought/oversold conditions. However, one common frustration is interpreting its movements alongside the actual price chart. The oscillator, plotted separately, can feel disconnected from price action, forcing traders to constantly glance back and forth. That’s exactly the problem I wanted to solve with this indicator.
The Solution: Stochastic Overlay
This indicator takes the familiar Stochastic oscillator and integrates it directly onto the price chart. Instead of struggling to correlate Stochastic signals with price movements, you now see the levels overlaid on the main chart, bringing momentum analysis into a more intuitive space.
What is the Stochastic Oscillator? (For the Newbies)
The Stochastic oscillator is a momentum-based indicator that measures the closing price relative to the high-low range over a specified period. It fluctuates between 0 and 100, helping traders identify potential reversals when the market is overbought (above 80) or oversold (below 20). The two key components are:
%K (fast-moving line)
%D (a smoothed moving average of %K)
Technical Details of the Overlay
The indicator adjusts the traditional Stochastic calculation by multiplying the timeframe (HTF multiplier), allowing traders to view higher-timeframe Stochastics. Set HTF Multiplier to 1 to see current timeframe Stochastics
It plots horizontal reference lines representing 0%, 20%, 40%, 50%, 60%, 80%, and 100% levels, giving a visual framework of price movement.
Color-coded fills help differentiate bullish and bearish zones—making it easy to spot potential turning points.
Why Do the %K & %D Lines Look “Crooked”?
Normally, the %K and %D lines range between 0 and 100, but in this overlay, they are scaled to fit the current price gap (the difference between the highest and lowest price in the selected period). This means their movement aligns more closely with price action, but it may appear distorted compared to a standard Stochastic oscillator.
For clarity, you can enable the visibility of %K and %D (Show %K %D option), allowing the scaled Stochastic values to be plotted within the price range.
Why Use This Overlay?
Better price interpretation: Instead of staring at a separate oscillator panel, you see momentum levels right where the price action unfolds.
Higher-timeframe integration: Adjusting the multiplier allows you to track the Stochastic behavior of larger timeframes without switching charts.
Clear visual cues: The colored fills and midpoint signals enhance readability for momentum shifts.
This tool transforms the way traders engage with Stochastic indicators, making momentum analysis more intuitive and efficient. Try it out, and see how your interpretation of price and momentum improves!
Blood IndicatorBlood Indicator
Weekly (FRED:TB3MS / FRED:BAMLH0A0HYM2) plotted against the 100 WK MA. If red be ready for a sell off. Use Confluence in price action to confirm trades.
Relative Momentum Deviation | QuantEdgeB📊 Introducing Relative Momentum Deviation (RMD) by QuantEdgeB
🛠️ Overview
Relative Momentum Deviation (RMD) is a precision-crafted momentum-based oscillator that measures relative price deviation through a normalized RSI structure and volatility-weighted SD bands. Unlike standard oscillators, RMD dynamically adapts its thresholds using rolling standard deviation on a DEMA-based foundation, making it uniquely responsive in both trending and ranging environments.
Designed to filter out noise and detect critical breakout zones, RMD is a powerful addition to any quantitative trader’s toolkit. Whether used as a standalone entry/exit signal or confirmation layer, RMD excels at identifying momentum inflection points with statistical confidence.
✨ Key Features
🔹 Normalized RSI-Based Core
RMD calculates momentum using a custom RSI of a DEMA-filtered source, delivering a smooth and responsive signal.
🔹 Volatility-Adaptive SD Thresholds
Dynamic upper and lower thresholds adjust in real-time using standard deviation, reducing false positives during low-volatility phases.
🔹 Dual Confirmation Signal Logic
RMD compares both deviation bands to user-defined thresholds to issue high-confidence trend entries.
🔹 Backtesting Integration & Visual Equity Curve
With built-in support for the QuantEdgeB Backtesting Framework, RMD allows seamless strategy validation.
🔹 Clean Visuals & Label Customization
Includes candle coloring, dynamic overlays, signal labels, and optional trend structure plots.
📊 How It Works
1️⃣ Normalized RSI of a DEMA Source
The heart of RMD lies in a momentum oscillator built from:
• 📌 Source Input → A DEMA of price (default 30)
• 📌 Momentum Foundation → RSI calculated from the DEMA output
• 📌 Smoothing Length → Controls the responsiveness of the base signal (default 14)
This creates a stable momentum oscillator less prone to fake-outs during sudden volatility spikes.
2️⃣ Standard Deviation Filtering Engine
RMD employs volatility-weighted SD bands to define statistically meaningful thresholds:
📌 Formula Breakdown:
• NormUp = RSI - SD
• NormDn = RSI + SD
These boundaries adapt based on recent price dispersion. The upper and lower bands dynamically expand or contract depending on market behavior.
3️⃣ Signal Logic & Triggering Conditions
• ✅ Long Signal → NormUp crosses above the long threshold (default: 65)
• ❌ Short Signal → NormDn drops below the short threshold (default: 50)
This approach means signals only occur during statistically significant deviation from mean momentum, making them less frequent but more robust.
✅ Visual Signal Features
• 🔹 Candle coloring based on signal direction (Long/Short)
• 🔹 Label plots on crossover confirmations
• 🔹 Momentum band plots for discretionary or system-based confirmation
👥 Who Should Use It?
✅ Momentum Traders → Identify directional bias with low noise
✅ Swing Traders → Confirm turning points with volatility-adjusted deviation
✅ Quantitative Developers → Integrate into backtested strategies with ease
✅ Range-Trading Specialists → Use SD bands to anticipate overextended moves
⚙️ Customization & Default Settings
🔧 Core Inputs:
• Base RSI Length (Default: 14)
• Source Smoothing (DEMA, Default: 7)
• SD Length (Default: 40) → Controls volatility window
• SD Multiplier (Default: 0.7) → Adjusts sensitivity of deviation thresholds
• Signal Thresholds (L/S Default: 65 Long - 50 Short) → Controls breakout trigger levels
• Color Mode Themes → Six color themes included
• Signal Labels Toggle → Optional signal label plotting
• Backtest Table & Equity Curve Options
📊 Backtest Mode
RMD includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess historical success rate.
📌 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.
🚀 Why This Matters?
✅ Strategy Validation → Gain insight into historical trend accuracy.
✅ Customization Insights → See how different settings impact performance.
✅ Risk Awareness → Understand potential drawdowns before deploying capital.
📌 How to Use RMD in Your Strategy
1️⃣ Momentum Breakout Strategy
✔ Go Long when NormUp > L → Indicates strong upward deviation
✔ Go Short when NormDn < S → Indicates sharp downward momentum
✔ Use SD Mult to control sensitivity and smoothness
2️⃣ Volatility Regime Awareness
✔ In low-volatility → Decrease SD multiplier to catch early signals
✔ In high-volatility → Increase SD multiplier to avoid noise
🔍 Bonus: Extra Trend Structure Plots
RMD includes optional ALMA + multi-EMA trend band overlays:
• Use them to confirm momentum alignment
• Great for hybrid strategies (e.g. trend + momentum)
📌 Conclusion
Relative Momentum Deviation (RMD) by QuantEdgeB offers a clean and adaptive approach to momentum trading by combining a normalized RSI structure with volatility-driven breakout zones.
With built-in signal confirmation, smart filtering, and rich backtest capabilities, RMD excels as a dynamic momentum companion for both discretionary and system traders.
🔹 Key Takeaways:
1️⃣ Adaptive Deviation Zones – Responsive to real-time volatility
2️⃣ Normalized RSI Core – Clean, smoothed momentum insight
3️⃣ Backtest + Visual Toolkit – Strategy-friendly and ready to deploy
📌 Trade with Statistical Precision | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Multi-Time Frame DMI with Gradient Bar ColoringDisplays a table showing the Directional Movement Index (DMI) sentiment for multiple time frames based on the Average Directional Index (ADX) value for each time frame.
Table Position and Text Size are configurable, with two styles (vertical or horizontal) available.
Time frame labels can be toggled off for color-only table.
Bars are colored based on the ADX value using a color gradient between the bullish and bearish color inputs. The neutral color is independent of the gradient for contrast.
Trailing Monster StrategyTrailing Monster Strategy
This is an experimental trend-following strategy that incorporates a custom adaptive moving average (PKAMA), RSI-based momentum filtering, and dynamic trailing stop-loss logic. It is designed for educational and research purposes only, and may require further optimization or risk management considerations prior to live deployment.
Strategy Logic
The strategy attempts to participate in sustained price trends by combining:
- A Power Kaufman Adaptive Moving Average (PKAMA) for dynamic trend detection,
- RSI and Simple Moving Average (SMA) filters for market condition confirmation,
- A delayed trailing stop-loss to manage exits once a trade is in profit.
Entry Conditions
Long Entry:
- RSI exceeds the overbought threshold (default: 70),
- Price is trading above the 200-period SMA,
- PKAMA slope is positive (indicating upward momentum),
- A minimum number of bars have passed since the last entry.
Short Entry:
- RSI falls below the oversold threshold (default: 30),
- Price is trading below the 200-period SMA,
- PKAMA slope is negative (indicating downward momentum),
-A minimum number of bars have passed since the last entry.
Exit Conditions
- A trailing stop-loss is applied once the position has been open for a user-defined number of bars.
- The trailing distance is calculated as a fixed percentage of the average entry price.
Technical Notes
This script implements a custom version of the Power Kaufman Adaptive Moving Average (PKAMA), conceptually inspired by alexgrover’s public implementation on TradingView .
Unlike traditional moving averages, PKAMA dynamically adjusts its responsiveness based on recent market volatility, allowing it to better capture trend changes in fast-moving assets like altcoins.
Disclaimer
This strategy is provided for educational purposes only.
It is not financial advice, and no guarantee of profitability is implied.
Always conduct thorough backtesting and forward testing before using any strategy in a live environment.
Adjust inputs based on your individual risk tolerance, asset class, and trading style.
Feedback is encouraged. You are welcome to fork and modify this script to suit your own preferences and market approach.
Scalping all timeframe EMA & RSIEMA 50 and EMA 100 combined with RSI 14
Should also be accompanied by the RSI 14 chart.
With the following conditions:
IF the EMAs are close but not crossing:
* Be prepared to take a Sell position if the first Bearish Candlestick crosses the lowest EMA, and the RSI value is equal to or below 40.
* Be prepared to take a Buy position if the first Bullish Candlestick crosses the highest EMA, and the RSI value is equal to or above 60.
IF the EMAs are overlapping and crossing:
* Be prepared to take a Sell position if the first Bearish Candlestick crosses both EMAs, and the RSI value crosses below 50.
*Be prepared to take a Buy position if the first Bullish Candlestick crosses both EMAs, and the RSI value crosses above 50.
50-Line Oscillator // (\_/)
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25-Line Oscillator
Description:
The 25-Line Oscillator is a sophisticated technical analysis tool designed to visualize market trends through the use of multiple Simple Moving Averages (SMAs). This indicator computes a series of 26 SMAs, incrementally increasing the base length, providing traders with a comprehensive view of price dynamics.
Features:
Customizable Base Length: Adjust the base length of the SMAs according to trading preferences, enhancing versatility for different market conditions.
Rainbow Effect: The indicator employs a visually appealing rainbow color scheme to differentiate between the various trend lines, making it easy to identify crossovers and momentum shifts.
Crossovers Detection: The script includes logic to detect crossover events between consecutive trend lines, which can serve as signals for potential entry or exit points in trading.
Clear Visualization: Suitable for both novice and seasoned traders, the plots enable quick interpretation of trends and market behavior.
How to Use:
Add the indicator to your chart and customize the base length as desired.
Observe the rainbow-colored lines for trend direction.
Look for crossover events between the SMAs as potential trading signals.
Application: This indicator is particularly useful for swing traders and trend followers who aim to capitalize on market momentum and identify reversals. By monitoring the behavior of multiple SMAs, traders can gain insights into the strength and direction of price movements over various time frames.
RSI SiaThis script is a custom indicator for TradingView written in Pine Script version 5. It calculates the Relative Strength Index (RSI) and uses it to generate trading signals. Here's a breakdown of what the script does:
Key Features:
RSI Calculation:
The script calculates the RSI using a 14-period window.
It also calculates the momentum of the RSI over a 9-period window (rsi delta) and a simple moving average (SMA) of the RSI over a 3-period window (rsi sma).
Composite Index (CI):
The composite index is calculated as the sum of rsi delta and rsi sma.
Horizontal Lines and Zones:
Several horizontal lines are plotted at different levels (e.g., 20, 40, 60, 80, 120, 150, 180) to indicate overbought and oversold conditions.
Filled zones are created between certain levels to highlight areas of interest.
Moving Averages:
The script plots SMA and EMA of the RSI when Enable RSI ma is set to true.
It also plots moving averages of the composite index.
Crossover Signals:
The script detects bullish and bearish crossovers between the SMA and EMA of the RSI.
It plots shapes (labels) on the chart to indicate buy (BUY) and sell (SELL) signals based on these crossovers.
Usage:
Enable RSIma: This input allows you to enable or disable the plotting of RSI moving averages.
i1: This variable is used to adjust the vertical position of the composite index and its moving averages.
Visualization:
The RSI is plotted in black.
The RSI fast trigger line (SMA of RSI) is plotted in green when enabled.
The RSI slow trigger line (EMA of RSI) is plotted in orange when enabled.
The composite index and its moving averages are plotted in red, green, and orange.
Buy and sell signals are indicated with green and red labels, respectively.
This script can be used to identify potential trading opportunities based on RSI crossovers and the composite index.
Double RSI OscillatorThe Double RSI Oscillator
Hello Gs,
I came back from the dead and tried to see what a little tweak to RSI could do, and I think it is quite interesting and might be worth checking out.
Warning:
This indicator has lots of false signals unfortunatly
How does the DRSI Oscillator work?
Very simple, the DRSI oscillator at the very base is just 2 RSIs that should smooth each other out, making a smoother trend signal generation for trend analysis. One RSI is set to have lower values, by considering the lowest point of the price, and one RSI is set to have higher values using pretty much the same thing. The trend changes from positive to negative if RSI with higher values crosses negative treshhold, and from negative to positive if RSI with lower value crosses positive treshhold. On top of this I added some additional settings to smooth or speed it further, if these were a good idea, I guess only time will tell :D.
Settings
Here is a guide of what setting changes what and how it might be suitable for you:
RSI Optimism length: length of the RSI with higher values (higher values will be better for longer term, lower for medium term)
RSI Pesimism length: length of the RSI with lower values (higher values will be better for longer term, lower for medium term)
Positive treshhold: The value RSI pesimism needs to pass in order to change trends (in case of using RSI avg. the value the average needs to pass), making this higher can give you faster signals, but expect more false ones
Negative treshholds: The value RSI optimism needs to pass in order to change trends (in case of using RSI avg. the value the average needs to pass), lowering this can give you faster signals, but expect more false ones
Smoothing type: Select the type of smoothing (or none) to smooth your signals as you want, this one you need to play around with.
Smoothing length: The length of your smoothing method (if none is selected it wont change anything)
Use RSI average instead: self-explanatory, go figure
Above/Below Mean Trend: Changes the way trend logic works
Why consider using this indicator?
The DRSI Oscillator is a tool that has huge flexibility (due to tons of settings that base RSI doesnt, like trend treshholds), and is smoother allowing traders and investors to get high quality or high speed signals, allowing great entries and exits
Z SMMA | QuantEdgeB📈 Introducing Z-Score SMMA (Z SMMA) by QuantEdgeB
🛠️ Overview
Z SMMA is a momentum-driven oscillator designed to track the standardized deviation of a Smoothed Moving Average (SMMA). By applying Z-score normalization, this tool dynamically adapts to price volatility, enabling traders to detect meaningful directional shifts and trend changes with enhanced clarity.
It serves both as a trend-following and mean-reversion system, identifying opportunities through standardized thresholds while remaining robust across volatile and calm market conditions.
✨ Key Features
🔹 Z-Score Normalization Engine
Applies Z-score to a custom SMMA baseline, allowing traders to compare price action relative to its recent volatility-adjusted mean.
🔹 Dynamic Trend Detection
Generates actionable long/short signals based on customizable Z-thresholds, making it adaptable across different asset classes and timeframes.
🔹 Overbought/Oversold Zones
Highlight reversion and profit-taking zones (default OB: +2 to +4, OS: -2 to -4), great for counter-trend or mean-reversion strategies.
🔹 Visual Reinforcement Tools
Includes candle coloring, gradient fills, and optional ALMA/EMA band overlays to visualize trend regime transitions.
🔍 How It Works
1️⃣ Z-Score SMMA Calculation
The core is a custom Smoothed Moving Average (SMMA) that is normalized by its standard deviation over a lookback period.
Final Formula:
Z = (SMMA - Mean) / StdDev
2️⃣ Signal Generation
• ✅ Long Bias: Z-Score > Long Threshold (default: 0)
• ❌ Short Bias: Z-Score < Short Threshold (default: 0)
3️⃣ Visual Aids
• Candle Color → Shows trend bias
• Band Fills → Highlight trend strength
• Overlays → Optional ALMA/EMA bands for structure analysis
⚙️ Custom Settings
• SMMA Length → Default: 12
• Z-Score Lookback → Default: 30
• Long Threshold → Default: 0
• Short Threshold → Default: 0
• Color Themes → Choose from 6 visual modes
• Extra Plots → Toggle advanced overlays (ALMA, EMA, bands)
• Label Display → Show/hide “𝓛𝓸𝓷𝓰” & “𝓢𝓱𝓸𝓻𝓽” markers
👥 Who Should Use It?
✅ Trend Traders → For early entries with confirmation from Z-score expansion
✅ Quantitative Analysts → Standardized deviation enables comparison across assets
✅ Mean-Reversion Traders → Use OB/OS zones to fade parabolic spikes
✅ Swing & Systematic Traders → Identify momentum shifts with optional ALMA/EMA overlays
📌 Conclusion
Z SMMA offers a smart, adaptive framework for tracking deviation from equilibrium in a quant-friendly format. Whether you're looking to follow trends or catch exhaustion points, Z SMMA provides a clear, standardized view of momentum and price extremes.
🔹 Key Takeaways:
1️⃣ Z-Score standardization ensures dynamic range awareness
2️⃣ SMMA base filters out noise, offering smoother signals
3️⃣ Color-coded visuals support faster reaction and cleaner charts
📌 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
Kernel Weighted DMI | QuantEdgeB📊 Introducing Kernel Weighted DMI (K-DMI) by QuantEdgeB
🛠️ Overview
K-DMI is a next-gen momentum indicator that combines the traditional Directional Movement Index (DMI) with advanced kernel smoothing techniques to produce a highly adaptive, noise-resistant trend signal.
Unlike standard DMI that can be overly reactive or choppy in consolidation phases, K-DMI applies kernel-weighted filtering (Linear, Exponential, or Gaussian) to stabilize directional movement readings and extract a more reliable momentum signal.
✨ Key Features
🔹 Kernel Smoothing Engine
Smooths DMI using your choice of kernel (Linear, Exponential, Gaussian) for flexible noise reduction and clarity.
🔹 Dynamic Trend Signal
Generates real-time long/short trend bias based on signal crossing upper or lower thresholds (defaults: ±1).
🔹 Visual Encoding
Includes directional gradient fills, candle coloring, and momentum-based overlays for instant signal comprehension.
🔹 Multi-Mode Plotting
Optional moving average overlays visualize structure and compression/expansion within price action.
📐 How It Works
1️⃣ Directional Movement Index (DMI)
Calculates the traditional +DI and -DI differential to derive directional bias.
2️⃣ Kernel-Based Smoothing
Applies a custom-weighted average across historical DMI values using one of three smoothing methods:
• Linear → Simple tapering weights
• Exponential → Decay curve for recent emphasis
• Gaussian → Bell-shaped weight for centered precision
3️⃣ Signal Generation
• ✅ Long → Signal > Long Threshold (default: +1)
• ❌ Short → Signal < Short Threshold (default: -1)
Additional overlays signal potential compression zones or trend resumption using gradient and line fills.
⚙️ Custom Settings
• DMI Length: Default = 7
• Kernel Type: Options → Linear, Exponential, Gaussian (Def:Linear)
• Kernel Length: Default = 25
• Long Threshold: Default = 1
• Short Threshold: Default = -1
• Color Mode: Strategy, Solar, Warm, Cool, Classic, Magic
• Show Labels: Optional entry signal labels (Long/Short)
• Enable Extra Plots: Toggle MA overlays and dynamic bands
👥 Who Is It For?
✅ Trend Traders → Identify sustained directional bias with smoother signal lines
✅ Quant Analysts → Leverage advanced smoothing models to enhance data clarity
✅ Discretionary Swing Traders → Visualize clean breakouts or fades within choppy zones
✅ MA Compression Traders → Use overlay MAs to detect expansion opportunities
📌 Conclusion
Kernel Weighted DMI is the evolution of classic momentum tracking—merging traditional DMI logic with adaptable kernel filters. It provides a refined lens for trend detection, while optional visual overlays support price structure analysis.
🔹 Key Takeaways:
1️⃣ Smoothed and stabilized DMI for reliable trend signal generation
2️⃣ Optional Gaussian/exponential weighting for adaptive responsiveness
3️⃣ Custom gradient fills, dynamic MAs, and candle coloring to support visual clarity
📌 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.
Normalized DEMA Oscillator SD| QuantEdgeB📊 Introducing Normalized DEMA Oscillator SD (NDOSD) by QuantEdgeB
🛠️ Overview
Normalized DEMA Oscillator SD (NDOSD) is a powerful trend and momentum indicator that blends DEMA-based smoothing with a standard deviation-based normalization engine. The result is an oscillator that adapts to volatility, filters noise, and highlights both trend continuations and reversal zones with exceptional clarity.
It normalizes price momentum within an adaptive SD envelope, allowing comparisons across assets and market conditions. Whether you're a trend trader or mean-reverter, NDOSD provides the insight needed for smarter decision-making.
✨ Key Features
🔹 DEMA-Powered Momentum Core
Utilizes a Double EMA (DEMA) for smoother trend detection with reduced lag.
🔹 Normalized SD Bands
Price momentum is standardized using a dynamic 2× standard deviation range—enabling consistent interpretation across assets and timeframes.
🔹 Overbought/Oversold Detection
Includes clear OB/OS zones with shaded thresholds to identify potential reversals or trend exhaustion areas.
🔹 Visual Trend Feedback
Color-coded oscillator zones, candle coloring, and optional signal labels help traders immediately see trend direction and strength.
📐 How It Works
1️⃣ DEMA Calculation
The core of NDOSD is a smoothed price line using a Double EMA, designed to reduce false signals in choppy markets.
2️⃣ Normalization with SD
The DEMA is normalized within a volatility range using a 2x SD calculation, producing a bounded oscillator from 0–100. This transforms the raw signal into a structured format, allowing for OB/OS detection and trend entry clarity.
3️⃣ Signal Generation
• ✅ Long Signal → Oscillator crosses above the long threshold (default: 55) and price holds above the lower SD boundary.
• ❌ Short Signal → Oscillator drops below short threshold (default: 45), often within upper SD boundary context.
4️⃣ OB/OS Thresholds
• Overbought Zone: Above 100 → Caution / Consider profit-taking.
• Oversold Zone: Below 0 → Watch for accumulation setups.
⚙️ Custom Settings
• Calculation Source: Default = close
• DEMA Period: Default = 30
• Base SMA Period: Default = 20
• Long Threshold: Default = 55
• Short Threshold: Default = 45
• Color Mode: Choose from Strategy, Solar, Warm, Cool, Classic, or Magic
• Signal Labels Toggle: Show/hide Long/Short markers on chart
👥 Ideal For
✅ Trend Followers – Identify breakout continuation zones using oscillator thrust and SD structure
✅ Swing Traders – Catch mid-trend entries or mean reversion setups at OB/OS extremes
✅ Quant/Systemic Traders – Normalize signals for algorithmic integration across assets
✅ Multi-Timeframe Analysts – Easily compare trend health using standardized oscillator ranges
📌 Conclusion
Normalized DEMA Oscillator SD is a sleek and adaptive momentum toolkit that helps traders distinguish true momentum from false noise. With its fusion of DEMA smoothing and SD normalization, it works equally well in trending and range-bound conditions.
🔹 Key Takeaways:
1️⃣ Smoother momentum tracking using DEMA
2️⃣ Cross-asset consistency via SD-based normalization
3️⃣ Versatile for both trend confirmation and reversal identification
📌 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.
Let me know if you want a strategy script or publish-ready layout for TradingView next!
Median RSI SD| QuantEdgeB📈 Introducing Median RSI SD by QuantEdgeB
🛠️ Overview
Median RSI SD is a hybrid momentum tool that fuses two powerful techniques: Median Price Filtering and RSI-based Momentum. The result? A cleaner, more responsive oscillator designed to reduce noise and increase clarity in trend detection and potential reversals.
By applying the RSI not to raw price but to the percentile-based median, the indicator adapts better to real structural shifts in the market while filtering out temporary price spikes.
✨ Key Features
🔹 Smoothed RSI Momentum
Utilizes a percentile-based median as input to RSI, reducing volatility and enhancing signal reliability.
🔹 Volatility-Weighted SD Zones
Automatically detects overbought/oversold extremes using ±1 standard deviation bands on the median, adapting to current market volatility.
🔹 Trend Signal Overlay
A directional trend signal (Long / Short / Neutral) is derived from the RSI crossing custom thresholds, combined with position relative to SD bands.
🔹 Visual Labeling System
Optional in-chart labels for Long / Short signals and fully color-customizable theme modes.
📊 How It Works
1️⃣ Median RSI Calculation
Instead of using the close price directly, the script first computes a smoothed median via percentile ranking. RSI is then applied to this filtered stream, improving reactivity without overfitting to short-term noise.
2️⃣ Standard Deviation Filtering
Upper and lower SD bands are calculated around the median to identify extreme conditions. A position near the upper SD while RSI is below the short threshold triggers bearish bias. The reverse applies for longs.
3️⃣ Signal Generation
• ✅ Long Signal → RSI crosses above the Long Threshold (default: 65) and price holds above lower SD.
• ❌ Short Signal → RSI crosses below the Short Threshold (default: 45), typically within upper SD range.
4️⃣ Contextual Highlighting
Zone fills on the chart and RSI subgraph indicate Overbought (>75) and Oversold (<25) conditions for added clarity.
⚙️ Custom Settings
• RSI Length → Default: 21
• Median Length → Default: 10
• Long Threshold → Default: 65
• Short Threshold → Default: 45
• Color Mode → Choose from Strategy, Solar, Warm, Cool, Classic, Magic
• Signal Labels Toggle → Optional in-chart long/short labels
👥 Who Should Use It?
✅ Swing & Momentum Traders → Filter entries based on confirmed directional RSI setups.
✅ Range-Bound Traders → Use SD thresholds to spot fakeouts or exhaustion zones.
✅ Intraday Strategists → Enhanced signal clarity makes it usable even on lower timeframes.
✅ System Builders → Combine this signal with price action or confluence layers for smarter rules.
📌 Conclusion
Median RSI SD by QuantEdgeB is more than just a modified oscillator—it's a robust momentum confirmation framework designed for modern volatility. By replacing noisy price feeds with a statistically stable input and layering RSI + SD logic, this tool provides high-clarity signals without sacrificing responsiveness.
🔹 Key Takeaways:
1️⃣ Median-filtered RSI eliminates noise without lag
2️⃣ Standard deviation bands identify exhaustion zones
3️⃣ Reliable for both trend continuation and mean-reversion strategies
📌 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.
Reversal Trading Bot Strategy[BullByte]Overview :
The indicator Reversal Trading Bot Strategy is crafted to capture potential market reversal points by combining momentum, volatility, and trend alignment filters. It uses a blend of technical indicators to identify both bullish and bearish reversal setups, ensuring that multiple market conditions are met before entering a trade.
Core Components :
Technical Indicators Used :
RSI (Relative Strength Index) :
Purpose : Detects divergence conditions by comparing recent lows/highs in price with the RSI.
Parameter : Length of 8.
Bollinger Bands (BB) :
Purpose : Measures volatility and identifies price levels that are statistically extreme.
Parameter : Length of 20 and a 2-standard deviation multiplier.
ADX (Average Directional Index) & DMI (Directional Movement Index) :
Purpose : Quantifies the strength of the trend. The ADX threshold is set at 20, and additional filters check for the alignment of the directional indicators (DI+ and DI–).
ATR (Average True Range) :
Purpose : Provides a volatility measure used to set stop levels and determine risk through trailing stops.
Volume SMA (Simple Moving Average of Volume ):
Purpose : Helps confirm strength by comparing the current volume against a 20-period average, with an optional filter to ensure volume is at least twice the SMA.
User-Defined Toggle Filters :
Volume Filter : Confirms that the volume is above average (or twice the SMA) before taking trades.
ADX Trend Alignment Filter : Checks that the ADX’s directional indicators support the trade direction.
BB Close Confirmation : Optionally refines the entry by requiring price to be beyond the upper or lower Bollinger Band rather than just above or below.
RSI Divergence Exit : Allows the script to close positions if RSI divergence is detected.
BB Mean Reversion Exit : Closes positions if the price reverts to the Bollinger Bands’ middle line.
Risk/Reward Filter : Ensures that the potential reward is at least twice the risk by comparing the distance to the Bollinger Band with the ATR.
Candle Movement Filter : Optional filter to require a minimum percentage move in the candle to confirm momentum.
ADX Trend Exit : Closes positions if the ADX falls below the threshold and the directional indicators reverse.
Entry Conditions :
Bullish Entry :
RSI Divergence : Checks if the current close is lower than a previous low while the RSI is above the previous low, suggesting bullish divergence.
Bollinger Confirmation : Requires that the price is above the lower (or upper if confirmation is toggled) Bollinger Band.
Volume & Trend Filters : Combines volume condition, ADX strength, and an optional candle momentum condition.
Risk/Reward Check : Validates that the trade meets a favorable risk-to-reward ratio.
Bearish Entry :
Uses a mirror logic of the bullish entry by checking for bearish divergence, ensuring the price is below the appropriate Bollinger level, and confirming volume, trend strength, candle pattern, and risk/reward criteria.
Trade Execution and Exit Strateg y:
Trade Execution :
Upon meeting the entry conditions, the strategy initiates a long or short position.
Stop Loss & Trailing Stops :
A stop-loss is dynamically set using the ATR value, and trailing stops are implemented as a percentage of the close price.
Exit Conditions :
Additional exit filters can trigger early closures based on RSI divergence, mean reversion (via the middle Bollinger Band), or a weakening trend as signaled by ADX falling below its threshold.
This multi-layered exit strategy is designed to lock in gains or minimize losses if the market begins to reverse unexpectedly.
How the Strategy Works in Different Market Conditions :
Trending Markets :
The ADX filter ensures that trades are only taken when the trend is strong. When the market is trending, the directional movement indicators help confirm the momentum, making the reversal signal more reliable.
Ranging Markets :
In choppy markets, the Bollinger Bands expand and contract, while the RSI divergence can highlight potential turning points. The optional filters can be adjusted to avoid false signals in low-volume or low-volatility conditions.
Volatility Management :
With ATR-based stop-losses and a risk/reward filter, the strategy adapts to current market volatility, ensuring that risk is managed consistently.
Recommendation on using this Strategy with a Trading Bot :
This strategy is well-suited for high-frequency trading (HFT) due to its ability to quickly identify reversal setups and execute trades dynamically with automated stop-loss and trailing exits. By integrating this script with a TradingView webhook-based bot or an API-driven execution system, traders can automate trade entries and exits in real-time, reducing manual execution delays and capitalizing on fast market movements.
Disclaimer :
This script is provided for educational and informational purposes only. It is not intended as investment advice. Trading involves significant risk, and you should always conduct your own research and analysis before making any trading decisions. The author is not responsible for any losses incurred while using this script.
Coppock Curve
The Coppock Curve is a long-term momentum indicator, also known as the "Coppock Guide," used to identify potential long-term market turning points, particularly major downturns and upturns, by smoothing the sum of 14-month and 11-month rates of change with a 10-month weighted moving average.
Here's a more detailed breakdown:
What it is:
The Coppock Curve is a technical indicator designed to identify long-term buy and sell signals in major stock market indices and related ETFs.
How it's calculated:
Rate of Change (ROC): The indicator starts by calculating the rate of change (ROC) for 14 and 11 periods (usually months).
Sum of ROCs: The ROC for the 14-period and 11-period are summed.
Weighted Moving Average (WMA): A 10-period weighted moving average (WMA) is then applied to the sum of the ROCs.
Interpreting the Curve:
Buy Signals: A buy signal is often generated when the Coppock Curve crosses above the zero line, suggesting a potential transition from a bearish to a bullish phase.
Sell Signals: While primarily designed to identify market bottoms, some traders may interpret a cross below the zero line as a sell signal or a bearish warning.
Origin and Purpose:
The Coppock Curve was introduced by economist Edwin Coppock in 1962.
It was originally designed to help investors identify opportune moments to enter the market.
Coppock's inspiration came from the Episcopal Church's concept of the average mourning period, which he believed mirrored the stock market's recovery period.
Limitations:
The Coppock Curve is primarily used for long-term analysis and may not be as effective for short-term or intraday trading.
It may lag in rapidly changing markets, and its signals may not always be reliable.
