NY First Candle Break and RetestStrategy Overview
Session and Time Parameters:
The strategy focuses on the New York trading session, starting at 9:30 AM and lasting for a predefined session length, typically 3 to 4 hours. This timing captures the most active market hours, providing ample trading opportunities.
Strategy Parameters:
Utilizes the Average True Range (ATR) to set dynamic stop-loss levels, ensuring risk is managed according to market volatility.
Employs a reward-to-risk ratio to determine take profit levels, aiming for a balanced approach between potential gains and losses.
Strategy Settings:
Incorporates simple moving averages (EMA) and the Volume Weighted Average Price (VWAP) to identify trend direction and price levels.
Volume confirmation is used to validate breakouts, ensuring trades are based on significant market activity.
Trade Management:
Features a trailing stop mechanism to lock in profits as the trade moves in favor, with multiple take profit levels to secure gains incrementally.
The strategy is designed to handle both long and short positions, adapting to market conditions.
Alert Settings:
Provides alerts for key events such as session start, breakout, retest, and entry signals, helping traders stay informed and act promptly.
Visual cues on the chart highlight entry and exit points, making it easier for beginners to follow the strategy.
This strategy is particularly suited for the current volatile market environment, where simplicity and clear guidelines can help beginner traders navigate the complexities of trading. It emphasizes risk management and uses straightforward indicators to make informed trading decisions.
I put together this Trading View scalping strategy for futures markets with some help from Claude AI. Shoutout to everyone who gave me advice along the way—I really appreciate it! I’m sure there’s room for improvement, so feel free to share your thoughts… just go easy on me. :)
Médias Móveis
SERA_EMA_L/S_BLOCK📌 Generic Name: SERA_EMA_L/S_BLOCK
This indicator consists of 3 main components:
1️⃣ EMA Based Breakdown and Candle Coloring
What does it do?
It changes the color of the candles according to whether the price breaks above or below the EMA (Exponential Moving Average) of the specified period.
How does it work?
If the candle breaks above the EMA High and closes above it: Green → Buying strength.
If the candle breaks below the EMA Low and closes below it: Red → Sales edition available.
2️⃣ Smooth Range Filter + Long/Short Signal Generation
What does it do?
Determines the trend direction of the price with the “smooth range” calculation.
It generates Long (Buy) and Short (Sell) signals by determining whether the price is going up or down.
How does it work?
If the price is above the “range filter” and heading upwards → Long signal
If the price is below the filter line and heading down → Short signal
These signals are shown as labels on the chart:
Green “Long” label → Buy signal
Red “Short” label → Sell signal
3️⃣ Swing High/Low (Pivot Points) + Liquidity Blocks
What does it do?
Determine the pivot high and pivot low points that occur within a certain length (e.g. 14 bars).
Liquidity blocks/areas (similar to order blocks) are drawn according to these points.
These areas represent areas where there is potential for price reversal or where liquidity has gathered in the past.
Features
Wick Extremity or Full Range can be used to change the area calculation of the boxes.
These zones also include:
Number (how many times has it been tested?)
Volume (how much trading volume has occurred in the past?).
These areas are visually marked with colored boxes, lines and labels:
Red boxes Swing High (potential resistance area)
Greenish/Blue boxes: Swing Low (potential support area)
🛎️ Alerts
TradingView can send notifications when Long and Short signals occur.
🔍 Intended Use:
This indicator is especially useful for short and medium-term trading:
Clarify trend direction
Identify potential turning zones
Generating buy and sell signals based on price momentum
Identify liquidity zones and see if the price tests them
can be used for this purpose.
ATLAS Reversion Bands v2 [EMA % Spread]🧠 About the ATLAS Reversion Bands v2
I created this indicator to answer a simple question:
"When is price extended too far from trend, and likely to revert?"
The ATLAS Reversion Bands measure the percentage spread between a fast and slow EMA (default 25/200) and track how far that spread moves from its historical average using z-score and standard deviation bands—essentially building a Bollinger Band system on top of EMA distance.
Instead of relying on traditional oscillators like RSI or MACD, this tool is purely math-driven and tailored for spotting overextensions across any asset.
🔍 What It Does
Tracks the normalized spread between EMA 25 and EMA 200
Highlights statistically rare zones using ±2 and ±3 standard deviation bands
Plots BUY/SELL triangle markers only on first entry into extreme zones
Helps identify mean reversion opportunities (deep pullbacks or FOMO tops)
📈 How to Use It
Wait for the spread to hit or exceed ±2.5 or ±3 standard deviations
Look for confirmation via price structure, candles, or volume
Best used on spot or perp markets with healthy liquidity
Ideal for swing trading or narrative-based rotational setups
🕐 Recommended Timeframes
1H, 4H, and 1D are optimal
Use MTF mode to apply daily logic on lower timeframes (e.g., see 1D exhaustion while trading 4H)
Works across:
✅ BTC, ETH, Majors
✅ Meme coins (better on 1H/4H)
✅ Market indexes (TOTAL2, BTC.D, etc.)
📌 Pro Tips
Raise the Z-score alert threshold for stricter signals (e.g., 3.0 for only the wildest extensions)
Use with other confluence tools (like S/R, candles, or RSI)
Not designed for chasing trends — this is a fade-the-hype, buy-the-blood kind of tool
ORB Strike - by Trading Pine LabORB Strike - by Trading Pine Lab
This strategy is designed for traders looking to take advantage of initial session breakouts through classic “Opening Range Breakout” (ORB) logic, combined with modern filters and advanced risk management tools. Perfect for volatile environments regardless of the trend.
Based on the market opening, ORB Strike identifies key levels and acts only if certain pre-set technical conditions are met.
Ideal for:
Intraday trading.
Traders who work with breakouts at the open.
Those looking for a solid but customizable strategy, with multiple levels of confirmation.
Mingo Smart S&D Zones (Strength + Tap + Alerts)This script automatically detects strong Supply & Demand zones based on price action using engulfing candles.
🟥🟩 Zones extend in real-time and stay visible until price breaks them.
💡 Features:
Dynamic Buy/Sell zone detection
Visual Strength Score (1–10) based on wick/body ratio and momentum
Zones fade when tapped (not broken)
✅ Shows "BUY Zone Tapped" or "SELL Zone Tapped" with strength
🔔 Includes TradingView alerts for both new zones and taps
📈 Designed for intraday traders, scalpers, and swing traders who want smart, visual price reaction zones without clutter.
➕ Optional settings:
Toggle tap labels ON/OFF
Control alert behavior
Adjustable zone opacity and width
✅ Works on all timeframes and symbols — Forex, Crypto, Indices, Stocks.
TestMA Candle ColorTestMA Candle Color. To find MA breakouts.Once a green candle above MA - buy signal. Sell signal when the day green candle breaks down.
VWOP WIZARD## Overview
The VWOP Wizard is a dynamic, multi-timeframe indicator that blends oscillator-based scaling with volume–weighted moving averages. It adapts its smoothing window depending on market conditions and provides both a plotted VWOP (Volume–Weighted Oscillator Price) line as well as a dashboard that displays values across several timeframes. In addition, it generates scalp entry signals based on the price’s relationship to the VWOP values from different periods.
---
## Key Components and Workflow
### 1. User Inputs and Customization
- **Oscillator Choice:**
You can choose from a range of oscillators such as **RSI, CCI, COG, MFI, CMO, TSI**, and a composite called **COPPOCK**. By default, COPPOCK is selected. The oscillator is used as the dynamic driver in the indicator.
- **Averaging Method:**
The indicator offers several smoothing methods including **VWAP, SWMA, VWMA, SMA, EMA, RMA, WMA,** and **Linear Regression Channel (LRC)**. This determines how the price data is averaged.
- **Length Slope Scaling:**
Four scaling lengths (len1, len2, len3, len4) and a slope shape input (`lCurve`) are defined. The slope shape options (“<>”, “><”, “<”, “>”) control how the oscillator’s relative position influences the length (i.e., the lookback period) used in the volume–weighted average calculation.
- **Oscillator Length:**
A parameter for the oscillator’s time period (default 16) allows fine tuning of its responsiveness.
### 2. Oscillator Calculation
- **Oscillator Value (`osc`):**
Depending on the user’s selection, the indicator computes an oscillator value. For example, when using “COPPOCK” (the default), the script calculates the weighted moving average of the sum of two rate-of-change (ROC) measures derived from the source price. This composite value provides a measure of recent momentum.
- **Scaling the Oscillator Range:**
The script computes the maximum (`maxOsc`) and minimum (`minOsc`) values of the oscillator over its history, then finds the difference (`dif`). These values are used to assess where the current oscillator reading lies within its full range.
### 3. Dynamic Slope Scaling
- **Determining the “lev” (Length):**
With the oscillator’s current position known relative to its minimum and maximum, the indicator uses the chosen scaling shape to set the effective lookback period (`lev`):
- **Symmetrical Scaling (“<>”):**
Checks if the oscillator is near the lower or upper quartiles (25%, 35%, 45% thresholds) to select among len1, len2, len3, or len4.
- **Inverted Scaling (“><”):**
Uses a reversed mapping of the thresholds, assigning longer or shorter lengths based on whether the oscillator is near the extremes.
- **Progressive Scaling (“<” or “>”):**
Interpolates between predefined lengths by comparing the oscillator to closer threshold splits either on the lower side (“<”) or upper side (“>”).
This dynamic adjustment means that the smoothing window for the moving average adapts to market volatility or momentum as revealed by the oscillator.
### 4. Moving Average Calculation (VWOP Line)
- **Volume–Weighted Smoothing:**
With the dynamic length (`lev`) determined, the script calculates a moving average that is volume–weighted. It does so by:
1. **Weighted Summation:**
Multiplying a selected type of moving average (based on the user’s method choice) of the source price by volume, summed over the window defined by `lev`.
2. **Normalization:**
Dividing the weighted sum by the total volume over the same period.
3. **Smoothing:**
In some cases, a secondary application of the selected moving average type (or a similar formula) further smooths the result.
The result is a VWOP line that reflects both price movements and volume activity, adjusted dynamically by the oscillator’s insights.
### 5. Plotting and Trend Determination
- **Visual Plot:**
The indicator plots the VWOP line directly on the chart. Its color dynamically changes—**green** if the current VWOP is higher than its previous value (indicating bullish momentum), and **red** if it is lower (indicating bearish momentum).
### 6. Multi-Timeframe Analysis and Scalp Signals
- **Additional Timeframe Calculations:**
Beyond the primary chart timeframe, the VWOP line is recalculated for additional timeframes (15-minute, 1-hour, 4-hour, and daily) using TradingView’s `request.security()` function. This provides a broader view of market trend across different periods.
- **Scalp Entry Signal:**
A scalp signal is generated on the 15-minute timeframe. The conditions are:
- **For a Long Signal:**
The price must be above the 15-minute VWOP, at least one of the 1-hour or 4-hour VWOPs, and above the Daily VWOP.
- **For a Short Signal:**
The price must be below the 15-minute VWOP, at least one of the 1-hour or 4-hour VWOPs, and below the Daily VWOP.
If neither condition is met, the signal defaults to “NEUTRAL.”
### 7. Dashboard Display
- **Visual Table:**
A dashboard table is created and positioned on the top right of the chart. It presents:
- The VWOP value from the 15-minute timeframe, along with the scalp signal (LONG, SHORT, or NEUTRAL) shown in a color that reflects the signal’s nature.
- The VWOP values for the 1-hour, 4-hour, and Daily timeframes, each color-coded (green for bullish, red for bearish) based on their trend.
This table provides a quick, at-a-glance summary of the market’s behavior across multiple timeframes.
---
## Conclusion
In summary, the VWOP Wizard indicator works by:
- **Combining an oscillator** (with user-selectable options) to drive dynamic adjustments.
- **Setting a variable lookback period** for a volume–weighted moving average based on the oscillator’s current value relative to its range.
- **Calculating and smoothing a VWOP line** using various averaging methods.
- **Determining trend direction** by comparing current and previous VWOP values.
- **Providing multi-timeframe insight** along with scalp entry signals via a dashboard display.
This design makes the indicator highly adaptive, offering insights into momentum shifts while accounting for volume, and ultimately assisting traders in making more informed decisions across different trading horizons.
Trend is Your Friend + MA Cross (Custom Color Scheme)## Overview
This indicator is a multi-faceted tool that combines several trend–based technical analyses with moving average crossover signals. It provides users with a dynamically updated dashboard displaying trend scores across different timeframes (15-minute, 1-hour, 4-hour, and daily) as well as a volume monitor. In addition, the script highlights scalp entry opportunities on the 15-minute chart and overlays a classic moving average (MA) cross indicator with customizable color schemes.
---
## Key Components and Workflow
### 1. User Inputs and Custom Settings
- **Dashboard Position:**
Users can choose where to display the dashboard on the chart (Top Right, Middle Right, Bottom Right, or Bottom Left).
- **MA Cross Parameters:**
Two moving averages are used:
- **Fast MA Period:** The shorter period (default 50) is used to gauge more immediate price momentum.
- **Slow MA Period:** The longer period (default 200) gives the overall trend.
- **Custom Colors for Crosses:**
Custom color inputs allow traders to assign distinct colors for bullish (e.g., a golden cross) and bearish (e.g., a death cross) signals.
- **Weekend Trading Toggle:**
An option to enable or disable trading signals on weekends prevents unwanted alerts during low-liquidity periods.
---
### 2. Trend Calculation Across Multiple Timeframes
The script evaluates trend strength on different timeframes using a function called `getTrend`. This function aggregates signals from four technical indicators for each timeframe:
- **MACD Analysis:**
- **Calculation:** The MACD line and its signal line are computed using the standard 12, 26, 9 settings.
- **Trend Signal:** If the MACD line exceeds the signal line, a positive (bullish) signal is generated; if it is below, a negative (bearish) signal is produced.
- **ATR–Based Supertrend Concept:**
- **ATR Value:** An Average True Range (ATR) over 10 periods is calculated.
- **Price Bands:** Upper and lower bands are derived by adding/subtracting three times the ATR from the current price.
- **Supertrend Signal:** The close price being above the lower band implies bullishness, while being below the upper band implies bearishness.
- **Hull Moving Average (HMA) Slope:**
- **Calculation:** A Hull Moving Average is computed using a weighted moving average formula.
- **Trend Signal:** The slope of the HMA (i.e., its current movement compared to its previous value) determines if the trend is upward or downward.
- **VWAP Comparison:**
- **Assessment:** The script compares the current price to the Volume Weighted Average Price (VWAP) calculated for each timeframe.
- **Trend Signal:** Price above the VWAP indicates bullishness, and below indicates bearishness.
- **Overall Trend Scoring:**
Each individual component contributes a value (+1, 0, or –1) which are summed into a total score. If this score is 3 or above, the trend for that timeframe is considered **bullish**; if it is –3 or lower, it is **bearish**. Otherwise, the trend is labeled as **neutral**.
---
### 3. Color-Coded Dashboard Display
- **Dashboard Setup:**
The indicator creates a table that displays the trend scores for the four chosen timeframes. Each cell shows the timeframe label, the score (with minimal tick formatting), and a trend label (“BULLISH”, “BEARISH”, or “NEUTRAL”).
- **Color Scheme Determination:**
A helper function assigns:
- **Bullish:** A dark green background with bright green text.
- **Bearish:** A dark red background with red text.
- **Neutral:** A black background with yellow text.
- **Volume Monitor:**
The dashboard includes an extra cell that monitors current volume relative to its 20–period simple moving average (SMA). Depending on whether volume is high, medium, or low, it is color–coded (yellow for high, orange for medium, and gray for low).
---
### 4. Scalp Entry Logic on the 15-Minute Chart
- **Local Indicator Calculations:**
On the 15-minute timeframe, the script computes:
- **MACD:** A bullish bias if the MACD line is above its signal line.
- **Supertrend Proxy:** A simplified measure comparing the close to a level derived from ATR.
- **Hull MA Slope:** An upward slope indicates bullish movement.
- **VWAP Check:** The close price is compared to the VWAP.
- **Multi-Timeframe Confirmation:**
The `getTrend` function is again used to retrieve trend signals for the 15-minute, 1-hour, 4-hour, and daily timeframes. A count of bullish versus bearish signals is used as additional confirmation.
- **Entry Conditions:**
- **Long Entry:** Triggered when local conditions (MACD, supertrend, hull slope, and price above VWAP) are bullish and at least three of the four timeframe trend signals are positive. Volume must also be above a safe threshold, and trading is only enabled on weekdays (unless weekend trading is allowed).
- **Short Entry:** Conversely, a short signal is generated when all local conditions are bearish and there is multi-timeframe bearish confirmation.
- **Visual Alerts:**
The indicator plots shapes (triangles) on the chart for both long and short scalp entries. Alert conditions are also set up for automated notification of potential scalp opportunities.
---
### 5. Moving Average Crossover (MA Cross) Signal
- **Fast and Slow MAs:**
The script calculates two simple moving averages using user–defined periods:
- **Fast MA:** Responds quickly to price changes.
- **Slow MA:** Smooths price fluctuations over a longer period.
- **Crossover Signals:**
- A **bullish crossover** occurs when the fast MA crosses above the slow MA.
- A **bearish crossover** occurs when the fast MA crosses below the slow MA.
- **Custom Cross Markers:**
Each crossover is marked on the chart with a cross shape:
- The bullish cross is drawn in the color set by the user as the “Bullish (Golden) Cross Color.”
- The bearish cross uses the “Bearish (Death) Cross Color.”
---
## Conclusion
In summary, this indicator operates on multiple levels:
- **Trend Assessment:** It computes trend scores for multiple timeframes (15min, 1hr, 4hr, Daily) by analyzing MACD, an ATR–derived supertrend, the slope of a Hull moving average, and the VWAP.
- **Dashboard Display:** It visually summarizes the trends and current volume with a color–coded dashboard.
- **Scalp Entry Logic:** On the 15-minute timeframe, it identifies potential scalp entries by combining local technical signals with multi–timeframe trend confirmation, while filtering out low–volume or weekend conditions.
- **MA Cross Signals:** Finally, it overlays fast and slow moving averages to clearly mark bullish and bearish crossover events with customizable visual cues.
This comprehensive design makes the indicator adaptable to different market conditions and timeframes, helping traders to gauge overall trend direction and identify potential scalp opportunities effectively.
Multi-Timeframe Trading SystemOverview
The Multi-Timeframe Trading System is an advanced technical analysis indicator designed to identify high-probability trading opportunities by combining signals from multiple timeframes and trading strategies. This system analyzes market context, identifies optimal setups, and confirms entries with lower timeframe precision, significantly increasing signal reliability.
Key Features
Triple Timeframe Analysis: Combines high, medium, and low timeframe data for comprehensive market analysis
Three Trading Strategies in One: Incorporates trend-following, mean-reversion, and breakout strategies
Adaptive to Market Conditions: Automatically identifies the current market context (trending or ranging) and applies the appropriate strategy
Signal Strength Evaluation: Rates buy/sell signals from weak to strong based on indicator confluence
Visual Alerts: Clear buy/sell signals with on-chart markers and signal labels
Customizable Parameters: Fully adjustable settings for all indicators and timeframes
Technical Indicators Included
-Moving Averages (EMA 50, EMA 200)
-Ichimoku Cloud components
-ADX for trend strength
-RSI for momentum and oversold/overbought conditions
-Stochastic oscillator for entry timing
-MACD for trend confirmation
-Bollinger Bands for volatility and price channels
-ATR for measuring market volatility
Trading Strategies
1. Trend-Following Strategy
Identifies the primary trend direction on higher timeframes
Locates optimal pullback entry points on medium timeframes
Confirms entries with precision using lower timeframe momentum signals
2. Mean-Reversion Strategy
Activates during ranging market conditions
Identifies oversold and overbought conditions using Bollinger Bands and RSI
Confirms reversals with Stochastic crossovers
3. Breakout Strategy
Detects price consolidation periods through Bollinger Band width
Identifies volatility expansion and price breakouts
Confirms breakout direction with momentum indicators
Ideal For
Swing traders looking for high-probability setups
Day traders seeking to align with the larger trend
Traders who want systematic confirmation across multiple timeframes
Those looking to adapt their trading approach to changing market conditions
How To Use
Apply the indicator to your chart and customize the timeframe settings to match your trading style
-Observe the market context information (uptrend, downtrend, or ranging)
-Wait for a setup to form on the medium timeframe
-Enter when the low timeframe confirms the signal
-Use the signal strength rating to prioritize the highest probability trades
The Multi-Timeframe Trading System eliminates the guesswork from your trading by providing clear, objective signals based on professional-grade multi-timeframe analysis techniques.
MTF MA Clouds ProThis indicator creates up to 3 configurable MA clouds
Each cloud uses a fast ma and a slow ma. The type of MA is configurable.
Works as follows:
fast ma > slow ma : green
slow ma > fast ma : red
You can also select a custom timeframe for each cloud (only higher timeframes work) and applies a multiplier to show the cloud from that timeframe on the current chart.
Additional options:
Volume based fill
This applies a normalized volume over a configurable lookback period to highlight high volume and low volume periods based on the fill opacity.
Compression/Expansion table
Calculates the spread of the MA clouds to highlight bull or bear conditions via cloud compression or expansion as well as relation between all clouds.
Back-Test DiNGUE [TAD] BusinessTrading Assistant Dingue – Business Version
Built for traders who treat trading like a business.
Whether you're managing capital, scaling a strategy, or building automation, this is your all-in-one assistant for execution, optimization, and growth.
This Business version includes everything from Advanced, plus:
✅ Full Backtesting Engine – Instantly evaluate strategies using historical data
✅ Risk Management Module – Set risk per trade, % of equity based on bankroll
✅ Position Sizing Tools – Automatically calculate position size based on your risk rules
✅ All-Timeframe Alerts – Get alerts across any timeframe!
✅ 2x Global Safe Settings – Twice the control, more smart filtering.
What’s Included in the Premium Version?
RSI, Stochastic, Volume, MACD, ROC, ADX-DMI, Mayer, OBV
3x Moving Averages, VWAP, Bollinger Bands, ATR, SAR
Ichimoku, Linear Regression, POC
Support/Resistance Levels
KNN Trend Analysis
Pivots & Order Blocks
Many Stops & Targets
Safe Signals + 2x Global Signals + Smart Filters
TradingView Ratings Integration
Auto-Settings + 5x Sensitivity Presets, switch between Swing (Low/Med/High) & Scalp (Low/Med) modes instantly.
Bull Bear count – See signal strength at a glance with the Bull Bear count.
New: TAD Oscillator included with the Basic package – Separate tool to visualize all 8 core oscillators independently. (Search: “TAD Oscillators”)
Need help or have feedback?
Message us anytime, we’re always improving based on your input.
Good luck with the charts!
EMA Stack Strength MeterEMA Stack Strength Meter
The EMA Stack Strength Meter is a visual tool designed to help traders quickly assess trend strength and structure based on the alignment of multiple Exponential Moving Averages (EMAs). This indicator uses a five-EMA stack (4, 8, 13, 21, 34) and displays a meter-style histogram that quantifies how strongly the EMAs are aligned in either a bullish or bearish configuration.
How It Works:
The script checks how many of the following conditions are true:
EMA 4 > EMA 8 > EMA 13 > EMA 21 > EMA 34 indicates a Bullish Stack
EMA 4 < EMA 8 < EMA 13 < EMA 21 < EMA 34 indicates a Bearish Stack
For each consecutive pair that satisfies the stack direction, a score is assigned (1 to 4).
These scores are plotted as color-coded horizontal bars:
Green bars at the top of the meter represent bullish stacking
Red bars at the bottom of the meter represent bearish stacking
No bars means EMAs are mixed or flat, suggesting a weak or choppy market
Mixed Bars (Both Bullish and Bearish Showing):
When both bullish and bearish bars appear at the same time, it means the EMAs are partially aligned in opposite directions. This reflects an unclear or transitioning trend. The market may be range-bound, choppy, or indecisive. During such phases, trend-following strategies may underperform, and caution is advised until a full alignment appears in either direction.
Use Cases:
Quickly gauge the trend structure without analyzing each EMA individually
Use it as a trend confirmation filter alongside trade entries
Avoid whipsaws during low-alignment or sideways conditions
Works across any timeframe or asset
All plot levels (Bullish 1 to 4 and Bearish 1 to 4) are always visible in the Style tab for easy customization.
This is a clean, non-overlay visual tool that pairs well with price action strategies, momentum indicators, or systems requiring trend confirmation.
RSI + SMA Strategy (Second Touch Confirmation + Volume Filter)RSI + SMA Strategy (Second Touch Confirmation + Volume Filter)
👉 Optimized for the 3-minute timeframe
This indicator combines the power of the RSI (Relative Strength Index) and its SMA (Simple Moving Average) to generate highly reliable BUY and SELL signals. The strategy is designed to confirm signals only on the second consecutive touch of the overbought (70) and oversold (30) thresholds, reducing false signals caused by sudden market movements. Additionally, it includes a dynamic volume filter, ensuring that signals are generated only during periods of high liquidity.
Key Features
Second Touch RSI:
BUY and SELL signals are generated only after the RSI reaches the overbought/oversold threshold for the second consecutive time, improving accuracy.
Volume Filter:
Signals are confirmed only if the current volume exceeds the 20-period moving average multiplied by a configurable value (volume_multiplier), filtering out low-liquidity moments.
Optimized for Short Timeframes:
Perfect for the 3-minute timeframe, ideal for scalping and intraday trading strategies.
Customizable Parameters:
Adjustable settings for RSI, SMA, overbought/oversold thresholds, and volume filter, making it adaptable to various markets and conditions.
How to Use It
BUY Signal: When RSI touches the oversold threshold (30) for the second consecutive time and crosses above its SMA, with volume higher than average.
SELL Signal: When RSI touches the overbought threshold (70) for the second consecutive time and crosses below its SMA, with volume higher than average.
Upcoming Developments
📢 We will soon release our private strategy!
This strategy will be based on advanced logic and optimized to achieve even more consistent results in volatile markets like cryptocurrencies. Stay tuned for more details!
Disclaimer
This indicator is designed to support decision-making in trading. We recommend testing it on a demo account before using it in live trading. Remember that trading involves risks and does not guarantee profits.
Comparative Fisher Signal2Comparative Fisher Transform Signal Indicator
Author: sepetsepethisse
This indicator combines the Fisher Transform and moving averages to identify market trends and evaluate trading opportunities. By calculating the ratio between two symbols, it provides investors with a broader perspective. It generates buy and sell signals based on the crossover of short and long-term EMAs.
Key Features:
Comparison Option: Users can compare their symbols with another symbol.
Fisher Transform Calculation: This calculation helps identify overbought or oversold conditions in the market.
Moving Averages: Short and long-term EMAs assist in determining market trends.
Buy/Sell Signals: Generated through Fisher Transform crossovers and EMA relationships.
Visual Indicators: Buy and sell signals are displayed with distinct shapes on the chart.
Usage Recommendations:
Buy Signal: Determined by the crossover of the Fisher Transform and the state of the EMA.
Sell Signal: Triggered when the price is below the EMA.
Waiting Mode: The indicator notifies the user when waiting for buy or sell signals.
This indicator is a powerful tool for investors seeking in-depth knowledge in technical analysis. Utilize it to better understand market movements and make informed decisions.
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Comparative Fisher SignalComparative Fisher Transform Signal Indicator
Author: sepetsepethisse
This indicator combines the Fisher Transform and moving averages to identify market trends and evaluate trading opportunities. By calculating the ratio between two symbols, it provides investors with a broader perspective. It generates buy and sell signals based on the crossover of short and long-term EMAs.
Key Features:
Comparison Option: Users can compare their symbols with another symbol.
Fisher Transform Calculation: This calculation helps identify overbought or oversold conditions in the market.
Moving Averages: Short and long-term EMAs assist in determining market trends.
Buy/Sell Signals: Generated through Fisher Transform crossovers and EMA relationships.
Visual Indicators: Buy and sell signals are displayed with distinct shapes on the chart.
Usage Recommendations:
Buy Signal: Determined by the crossover of the Fisher Transform and the state of the EMA.
Sell Signal: Triggered when the price is below the EMA.
Waiting Mode: The indicator notifies the user when waiting for buy or sell signals.
This indicator is a powerful tool for investors seeking in-depth knowledge in technical analysis. Utilize it to better understand market movements and make informed decisions.
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QuantJazz HyperCurve============================================================
QuantJazz Dynamic Hyper-Reactive Adaptive Moving Average (HyperCurve)
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An Overview and Introduction by QuantJazz
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Introduction
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Welcome to the QuantJazz HyperCurve v1.1, a sophisticated indicator designed for
traders seeking exceptional responsiveness and adaptability in navigating dynamic
market conditions. This tool integrates two powerful concepts: the uniquely
adaptive McGinley Dynamic line and a highly customizable, multi-factor
Hyper-Reactive Adaptive Moving Average (HRAMA) Ribbon. Together, they provide a
nuanced view of price action, momentum, and trend dynamics.
The HyperCurve aims to reduce the lag inherent in traditional moving averages
while intelligently adjusting to market volatility, offering timely insights for
both trend-following and potential reversal identification.
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Core Components
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1. **The QuantJazz HyperCurve (Based on McGinley Dynamic):**
* **Concept:** This is the primary line plotted by the indicator. It's
not a simple moving average; it's based on the McGinley Dynamic formula,
which automatically adjusts its speed based on the speed of the market
itself. It speeds up in down markets and slows down slightly in up
markets, aiming to hug prices more closely and minimize separation.
* **Lower Timeframe Enhancement:** Optionally, you can configure the
HyperCurve to calculate using data from a lower timeframe (e.g., using
1-minute data on a 5-minute chart). This can significantly increase its
sensitivity and reaction time to immediate price changes, providing
earlier signals, especially useful for scalping or very short-term
trading.
* **Visual Guidance:** The color of the HyperCurve line changes based on
its slope:
* **Up Color (Default: Green):** Indicates an upward slope (rising
momentum).
* **Down Color (Default: Blue):** Indicates a downward slope (falling
momentum).
* *(Note: Transitional color logic is currently commented out in v1.1)*
* **Customization:** You can adjust the core `Length` parameter and the
`Source` price data (high, low, close, etc.) used in the calculation.
2. **The HRAMA Ribbon:**
* **Concept:** This optional component provides a visual representation of
trend strength and potential crossover signals using two moving averages:
a Fast MA and a Slow MA.
* **Hyper-Reactive Adaptability (HRAMA - Default):** By default, the
ribbon uses the proprietary HRAMA calculation. This MA type dynamically
adjusts its effective length based on a configurable blend of six market
factors:
1. **Highs Strength:** Momentum based on recent new highs.
2. **Closing Strength:** Price position relative to recent average opens.
3. **Volume Momentum:** Rate of change in bullish vs. bearish volume.
4. **Volatility Breakout:** Recent price activity compared to long-term
standard deviation.
5. **Candle Range Volatility:** Standard deviation of the high-low range.
6. **Candle Body Volatility:** Standard deviation of the open-close range.
The weights (`w1` to `w6`) allow you to emphasize the factors you deem
most important for responsiveness.
* **Versatile MA Selection:** You are not limited to HRAMA. You can select
from a wide range of traditional moving average types for the ribbon:
SMA, EMA, WMA, RMA, VWMA, HMA, KAMA, DEMA, TEMA. This allows you to
pair the dynamic HyperCurve line with a more conventional MA ribbon if
desired.
* **Visual Guidance:** The space between the Fast MA and Slow MA is filled
with color:
* **Fast MA > Slow MA:** Bullish sentiment (filled with a shade of the
HyperCurve's Up Color).
* **Slow MA > Fast MA:** Bearish sentiment (filled with a shade of the
HyperCurve's Down Color).
* **Customization:** Adjust Fast/Slow MA lengths, minimum adaptive length
(for HRAMA), KAMA parameters (if KAMA is selected), factor lookbacks,
normalization periods, and the crucial factor weights for HRAMA.
---------------------------------------------------------------------------------
Why HyperCurve Excels Beyond Traditional MAs
---------------------------------------------------------------------------------
Traditional moving averages, like SMAs and EMAs, operate on a fixed lookback
period. This inherent rigidity forces a compromise: choose a short period for
responsiveness (inviting whipsaws in choppy markets) or a long period for
smoothness (introducing significant lag).
The HyperCurve, powered by the McGinley Dynamic formula, shatters this
limitation. Its core calculation includes a dynamic ratio that automatically
adjusts the indicator's speed relative to the market's own velocity.
* **Reduced Lag:** When price accelerates away, the HyperCurve speeds up its
adjustment far quicker than an EMA of comparable smoothness, keeping it
closer to the action.
* **Enhanced Smoothness:** When price consolidates or moves predictably, the
HyperCurve naturally slows down, providing a smoother line than an EMA of
comparable responsiveness, thus filtering out noise more effectively.
In essence, the HyperCurve aims to provide the 'best of both worlds' – the
reactivity needed for fast markets and the smoothness desired during calmer
periods, offering a fundamentally more intelligent and adaptive approach to
tracking price.
---------------------------------------------------------------------------------
How to Use
---------------------------------------------------------------------------------
* **Primary Signal (HyperCurve Line):** Monitor the slope and color of the main
HyperCurve line for immediate momentum indication. An upward turn and green
color can suggest emerging bullish momentum, while a downward turn and blue
color suggest bearish momentum. Since you prefer Long Only trades, look for
the HyperCurve turning upwards from lows or maintaining a steady upward slope.
* **Trend Confirmation (HRAMA Ribbon):** Use the ribbon to gauge the broader
trend context. A widening ribbon with the Fast MA above the Slow MA (bullish
fill color) reinforces an uptrend. A crossover where the Fast MA moves above
the Slow MA can be an additional confirmation signal for potential long entries.
* **Synergy:** Combine signals. A HyperCurve turning up *while* the Fast MA is
crossing (or has crossed) above the Slow MA can present a higher-confidence
long entry setup.
* **Experimentation:** Adjust the `Length` of the HyperCurve, the `Lower Timeframe`
setting, and the HRAMA `Factor Weights` or selected `MA Type` / `Lengths` to
fine-tune the indicator's responsiveness to your preferred asset and trading
timeframe. The lower timeframe option is particularly potent for very fast
reaction but may introduce more noise.
---------------------------------------------------------------------------------
Key Features & Customization Summary
---------------------------------------------------------------------------------
* **Adaptive Core:** McGinley Dynamic base for reduced lag and volatility
adjustment.
* **Optional Lower Timeframe:** Enhances sensitivity for McGinley calculation.
* **Multi-Factor Adaptive Ribbon (HRAMA):** Dynamically adjusts based on
weighted market factors (Highs, Closing, Volume, Volatility).
* **Flexible Ribbon MA Types:** Choose from HRAMA, SMA, EMA, WMA, RMA, VWMA, HMA,
KAMA, DEMA, TEMA.
* **Clear Visuals:** Color-coded HyperCurve line for momentum and filled ribbon
for trend context.
* **Extensive Configuration:** Fine-tune lengths, sources, factor weights,
lookbacks, colors, and line widths.
* **Show/Hide Components:** Independently toggle the visibility of the
HyperCurve line and the HRAMA Ribbon.
---------------------------------------------------------------------------------
Why Choose QuantJazz HyperCurve?
---------------------------------------------------------------------------------
The HyperCurve v1.1 is built for traders who demand more than static moving
averages. Its dual-component design offers both a highly reactive primary line
and a configurable, context-providing ribbon. By adapting to market speed and
incorporating multiple dimensions of market activity (price, volume, volatility),
it aims to provide a more intelligent and timely reflection of market dynamics.
Explore its settings, adapt it to your strategy, and experience the potential
advantage of hyper-reactive market analysis.
---------------------------------------------------------------------------------
Author's Preferred Setup (Tim's Favorite)
---------------------------------------------------------------------------------
For a powerful view of market dynamics, try Tim's favorite configuration:
1. **Add TWO instances** of the QuantJazz HyperCurve indicator to your
2-minute or 5-minute chart. Disable the "HRAMA Ribbon" on both instances
to focus purely on the HyperCurve lines.
2. **Configure the FAST HyperCurve:**
* `Source`: **high**
* `McGinley Length`: **5**
* `Use Lower Timeframe`: **Checked (True)**
* `Lower Timeframe`: **30s** (or adjust slightly based on chart interval)
* *Result:* Smoking-fast response times, yet crystal clear, smooth, and
satisfying transitions for immediate momentum shifts.
3. **Configure the SLOW HyperCurve:**
* `Source`: **high** (or your preferred consistent source)
* `McGinley Length`: **34**
* `Use Lower Timeframe`: **Unchecked (False)** (...Aye Captain! Set to
chart speed!)
* *Result:* A smoother line representing the more established, underlying
trend direction.
4. **Interpretation:**
* Watch the interaction between the two lines.
* When the **Fast Line crosses ABOVE the Slow Line** and both are angling
upwards, it signals expanding bullish momentum – a potential long entry
or confirmation.
* When the **Fast Line crosses BELOW the Slow Line**, it signals contracting
momentum or a potential bearish shift.
* The distance between the lines visually represents the strength of the
current move. Wider separation in an uptrend suggests strong bullishness.
With this setup, you can very clearly gauge trends expanding to be more bullish
or contracting bearishly, and take swift action.
Happy hunting with your new HyperCurve weapon!
---------------------------------------------------------------------------------
Disclaimer
---------------------------------------------------------------------------------
Trading involves substantial risk, and this indicator is provided for
informational and educational purposes only. It does not constitute financial
advice or a recommendation to buy or sell any asset. Past performance is not
indicative of future results. Always conduct your own thorough analysis and risk
management before making any trading decisions.
© QuantJazz
RR Trail MA-Osc Strategy (entry-based TP/SL)Overview
The "RR Trail MA-Osc Strategy" is designed to capture trends while maintaining clear risk management .
With fixed TP/SL, a trailing stop, and safety exits based on MA and oscillator divergence, this strategy offers a mechanical and strategic approach to trading .
Strategy Objectives
Capture trend development and continuation for maximum profit
Optimize profit/loss balance through a clear risk-reward ratio (RR)
Utilize multi-layered exit logic: fixed target/stop, trailing stop, and divergence exit
Eliminate emotional decision-making with rule-based execution
Key Features
Fixed TP/SL – Targets and stops based on recent high/low (structural exits)
Customizable RR Ratio – Adjust reward-to-risk levels to match strategy or market
Trailing Stop – Dynamically locks in profit as price moves favorably
Divergence Exit – Exits early when MA and oscillator disagree in direction
Simple Structure – Easy to modify and expand
Trading Rules
Long Entry
Price above short-term MA
WaveTrend oscillator rising and above 0
Long-term trend MA trending upward
Short Entry
Price below short-term MA
Oscillator falling and below 0
Long-term trend MA trending downward
Exit Conditions
Fixed TP/SL (based on recent highs/lows + RR)
Triggering the trailing stop
Divergence between oscillator and MA
Risk Management Parameters
Pair : ETH/USD
Timeframe : 4-hour
Starting Capital : $3,000
Commission : 0.02%
Slippage : 2 pips
Risk per Trade : 5% of account equity (adjustable)
Total Trades : 651 (backtested on selected dataset)
Trading Parameters & Considerations
Multiple MA types available (SMA / EMA / SMMA / WMA / VWMA)
Separate MAs for signal and trend evaluation
Flexible RR ratio (e.g. 1.0 to 2.0+)
Adjustable lookback window for high/low-based TP/SL
Strategy Improvements & Uniqueness
Combines fixed TP/SL + trailing stop + divergence exit for layered exit logic
Provides stable, emotion-free execution through clear risk structures
Simple yet complete design—ideal for customization or integration
Clean and understandable for Pine Script beginners
Inspirations & Attribution
This strategy was inspired by:
ChartPrime – “Moving Average Shift”
Leveraging the Moving Average Shift concept for intuitive signal generation,
it has been restructured here into a more strategic and automated system.
Summary
"RR Trail MA-Osc Strategy" merges:
Trend-following logic
Defined risk control
Emotionless, rule-based execution
into a compact and effective trading strategy .
Perfect for beginners and intermediate traders alike,
especially those seeking a mechanical, disciplined approach to the markets.
SH1 Strategy -- STG ConvexShipHullStrategy ConvexShipHull v0_014_b0050
Featuring Hull Moving averages and IPMAN (Inflexion Point
Moving Average Nuance) via Convexity estimates. Excels
on lower time frames.
Big Wave Stock Signal RevisedDescription（説明文）
【改良版 大波株サインツール】
Big Wave Stock Signal Revised
This script is available as an **invite-only script with open access**, meaning users can apply and use it freely on charts, but the **source code remains hidden** to protect proprietary logic.
---
### Signal Logic Summary
This tool is a **revised version** of the original Big Wave Stock Signal Tool, built to detect high-quality trend breakouts using a combination of:
#### 1. Perfect Order Condition
- Across **three timeframes**: 1H, 4H, and Daily
- EMA(20) > EMA(80) > EMA(200) alignment on all three
#### 2. Ascending Triangle Pattern Detection
- Detects patterns using pivot high/low structure
- Valid when:
- Upper resistance (top line) is flat (within tolerance)
- Higher lows are forming (pivot lows are ascending)
#### 3. Breakout Confirmation
- Final signal fires when price **breaks above the top of the triangle**
- Only triggers if **all timeframes confirm trend alignment**
---
### Entry/Exit Logic
- **Buy Signal** (Blue Up Arrow):
- Detected when triangle breakout + multi-timeframe perfect order occur simultaneously
- Entry price, stop price, and target price are calculated
- Stop = EMA80 on 1H; Target = based on risk/reward ratio
- **Exit Signal** (Red Down Arrow):
- Automatically shown when price hits either the stop loss or the target
- Position tracking is internal; no manual input needed
---
### Features
- Multi-timeframe trend validation (1H, 4H, Daily)
- Ascending triangle detection using pivot logic
- Automatic simulated entry/exit management
- Configurable risk/reward, EMA periods, tolerance
- Alerts for both buy and close signals
- Visual guide for triangle top and key EMAs
---
### Why the Source Code Is Hidden
This script is used within a structured educational trading program and contains custom logic that combines price action with multi-timeframe structure and pattern recognition.
To protect intellectual property and avoid unapproved copying, the source code is kept private.
However, **the full signal logic is transparently described above** for users to understand what the script does.
Big Wave Stock Signal ToolDescription（説明文）
【大波株サインツール】
Big Wave Stock Signal Tool
This script is published as an **invite-only script** with **open access** to its chart usage.
While the source code is not visible, the logic and structure are fully documented below.
---
### What It Does (Signal Logic)
**Buy Signal (Wave Start):**
- EMA21 (medium-term) crosses above SMA80 (long-term) → Golden Cross
- WMA10 (short-term) is sloping upward
- EMA21 is also sloping upward
- MA alignment is valid: **WMA10 > EMA21 > SMA80**
- Daily candlestick is bullish (Close > Open)
- (Optional filters: weekly bullish candle, volume > average, RSI > 50)
**Sell Signal (Wave End):**
- WMA10 crosses below EMA21
- This indicates the end of a wave and exits the trend mode
This logic is intended to capture strong medium-term bullish trends and reduce whipsaw entries through multiple filters:
**trend slope**, **price structure**, and **MA alignment**.
---
### Features
- Signal arrows plotted directly on the chart
- Alerts supported for both buy/sell signals
- Moving averages (WMA10 / EMA21 / SMA80) are drawn for visual reference
- Modular design: filters (RSI, volume, weekly) can be toggled as needed
- Built-in wave mode logic: signals only appear when a new wave starts or ends
---
### Source Code Visibility
This script is distributed under **invite-only status** to protect the proprietary structure used in our educational programs.
While the full logic is described above, the source code is kept private to prevent unauthorized distribution or replication.
Q-Tou ScouterDescription（説明文）
【Q騰スカウター】
(Q-Tou Scouter)
This script is part of an exclusive premium course offered through a paid investment web school.
It is specifically designed to detect **high-confidence bullish breakout signals** using Ichimoku Cloud logic, combined with optional smoothing techniques for professional-level analysis.
---
### Signal Logic
A bullish signal is generated **only when price breaks above either Leading Span 1 or Leading Span 2** of the Ichimoku Cloud.
To ensure quality over quantity, the script introduces a filtering mechanism:
- **No repeated signals** are shown when price breaks the same span multiple times in a row.
→ For example, after breaking above Span 1 once, a second signal will not appear unless it breaks Span 2, and vice versa.
- **Cloud context is checked**:
- When price breaks above Span 1, the condition `Span 1 > Span 2` must also be true (indicating bullish dominance).
- When breaking above Span 2, `Span 2 > Span 1` must be true.
In short, each signal is triggered **only once per span, and only when that span is dominant** — reducing noise and false signals.
---
### Additional Features
- A configurable **25-period Simple Moving Average (SMA)** is plotted by default.
- Optional smoothing via multiple MA types:
`SMA`, `EMA`, `WMA`, `VWMA`, `SMMA`, or **SMA + Bollinger Bands** (customizable deviation).
- Signals appear as upward triangle markers **below bars** for clear visibility.
- Color customization is supported for signals.
---
### Closed Source Justification
This script is closed-source because it is used as a **member-only tool** within a **paid educational platform**.
The filtering mechanism for Ichimoku span breakouts and the structured signal logic form part of the school’s proprietary trading strategy.
Protecting the logic ensures that only enrolled students benefit from the tool and prevents misuse or unauthorized distribution.
---
**All rights reserved to the author and affiliated investment education program.**
---
### UI Translation Notes:
- "サインの色" = "Signal Color"
- "Length" = "Length (for SMA)"
- "Source" = "Source of input (default: close)"
- "スムージングの種類" = "Type of smoothing MA"
- "ボリンジャーバンド標準偏差" = "BB StdDev"
