SCE GANN PredictionsThis is a script designed to give an insight on price direction from being above or below a GANN Value.
What Are GANN Waves?
The SCE GANN Predictions indicator is inspired by the work of W.D. Gann, a renowned trader who believed that price movements follow geometric and mathematical patterns. GANN waves use past price behavior—specifically momentum or "velocity"—to forecast where prices might head next.
How Does the Indicator Work?
Calculating Velocity
The script starts by measuring the "velocity" of price movement over a user-defined lookback period (denoted as n). This velocity is the average difference between the close and open prices over n bars. Think of it as the market’s speed in a given direction.
Predicting the Future Price
Using this velocity, the indicator estimates a future price after a specific time horizon—calculated as n + n*2 bars into the future (e.g., if n = 15, it predicts 45 bars ahead). It scales the velocity by a ratio (Gr) to determine the "end price." This is the raw GANN prediction.
Optimizing the Ratio (Gr)
The key to a good prediction is finding the right Gr. The script tests a range of Gr values (from Gr_min to Gr_max, stepping by Gr_step) and evaluates each one by calculating the sum of squared errors (SSE) between the predicted prices and the actual historical close prices. The Gr with the lowest SSE is deemed "optimal" and used for the final prediction.
Smoothing with an SMA
The raw GANN prediction is then smoothed using a simple moving average (SMA) over the lookback period (n). This SMA is plotted on your chart, serving as a dynamic trend line. The plot’s color changes based on the current price: teal if the close is above the SMA (bullish), and red if below (bearish).
Visuals
This example shows how the value explains price strength and changes color. When the price is above the line, and it’s green, we’re showing an up trend. The opposite is when the price is below the line, and it’s red, showing a down trend.
We can see that there may be moments where price drops under the value for just that one bar.
In scenarios with sideways price action, even though the price crosses, there is no follow through. This is a shortcoming of the overall concept.
Customizable Inputs
Timeframe: Choose the timeframe for analysis (default is 2 minutes).
Show GANN Wave: Toggle the GANN SMA plot on or off (default is true).
Lookback Period (Gn): Set the number of bars for velocity and SMA calculations (default is 15).
Min Ratio (Gr_min): The lower bound for the Gr optimization (default is 0.05).
Max Ratio (Gr_max): The upper bound for Gr (default is 0.2).
Step for Gr (Gr_step): The increment for testing Gr values (default is 0.01).
How to Use SCE GANN Predictions
Trend Direction
The colored SMA provides a quick visual cue. Teal suggests an uptrend, while red hints at a downtrend. Use this to align your trades with the broader momentum.
Crossover Signals
Watch for the close price crossing the GANN SMA. A move above could signal a buy opportunity, while a drop below might indicate a sell. Combine this with other indicators for confirmation.
Fine-Tuning
Experiment with the lookback period (Gn) and Gr range to optimize for your market. Shorter lookbacks might suit fast-moving assets, while longer ones could work for slower trends.
Like any technical tool, SCE GANN Predictions isn’t a crystal ball. It’s based on historical data and mathematical assumptions, so it won’t always be spot-on.
Циклический анализ
Price action plus//The system combines the divergence of A/D and OBV with identifying reversal points using Japanese candlestick patterns, creating an enhanced version of price action. This helps investors more easily and accurately recognize reversal patterns in technical analysis.
Divergence of A/D vs. OBV includes:
Positive divergence: Identifies smart money leaving the market.
Negative divergence: Identifies smart money entering the market.
Reversal candlestick patterns include:
Buy signals: Morning Star, Bullish Engulfing, Hammer.
Strong Buy signals: Buy signals + Negative divergence
Sell signals: Evening Star, Bearish Engulfing, Shooting Star.
Strong Sell signals : Sell signals + Positive divergence
//Hope this system will be helpful for you!
Renko Flip MarkerThis script shows on chart where Renko bricks flip for candlestick chart. I intended it for candlestick chart, but it seems to work Renko chart too from my testing so far. You may change the Renko size for your own scenario you're trading. Hopefully helps, Thank you.
Eclipse Dates IndicatorThis TradingView indicator displays vertical lines on eclipse dates from 1980 to 2030, with comprehensive filtering options for different types of eclipses.
Features
Date Range: Covers 221 eclipse events from 1980 to 2030
Eclipse Types: Filter by Solar and/or Lunar eclipses
Eclipse Subtypes: Filter by Total, Partial, Annular, Penumbral, and Hybrid eclipses
Year Range Selection: Focus on specific decades (1980-1990, 1990-2000, etc.)
Visual Customization: Separate styling for Solar and Lunar eclipses
Line Appearance: Customize color, style, and width
Label Options: Show/hide labels with customizable appearance
Eclipse Types
Show Solar Eclipses: Toggle visibility of Solar eclipses
Show Lunar Eclipses: Toggle visibility of Lunar eclipses
Eclipse Subtypes
Show Total Eclipses: Toggle visibility of Total eclipses
Show Partial Eclipses: Toggle visibility of Partial eclipses
Show Annular Eclipses: Toggle visibility of Annular eclipses
Show Penumbral Eclipses: Toggle visibility of Penumbral eclipses
Show Hybrid Eclipses: Toggle visibility of Hybrid eclipses
Visual Settings
Solar/Lunar Eclipse Line Color: Set the color for eclipse lines
Solar/Lunar Eclipse Line Style: Choose between solid, dashed, or dotted lines
Solar/Lunar Eclipse Line Width: Set the width of eclipse lines
Solar/Lunar Label Text Color: Set the color for label text
Solar/Lunar Label Background Color: Set the background color for labels
General Settings
Show Eclipse Labels: Toggle visibility of eclipse labels
Label Size: Choose between tiny, small, normal, or large labels
Extend Lines to Chart Borders: Toggle whether lines extend to chart borders
Year Range: Filter eclipses by decade (1980-1990, 1990-2000, etc.)
Usage Tips
For optimal visualization, use daily or weekly timeframes
When analyzing specific periods, use the Year Range filter
To focus on specific eclipse types, use the type and subtype filters
For cleaner charts, you can hide labels and only show lines
Customize colors to match your chart theme
Data Source
Eclipse data is sourced from NASA's Five Millennium Catalog of Solar Eclipses and includes both solar and lunar eclipses from 1980 to 2030.
Cyclical Momentum Pivots V3CYCLICAL MOMENTUM PIVOTS V3 (CMPV3)
Overview
CMPv3 is an indicator designed with built-in low volume and high momentum detection, differing from tools like MACD and standard cRSI through its use of dynamic cycle analysis and dual-signal mechanics. Using a cryptocurrency 2-hour (2H) chart as its baseline, CMPv3 integrates Hurst cycle analysis, intent/confirmation signals, and volume-based markers—"LV" for low volume and "HM" for high momentum—to identify momentum shifts and potential reversals. Low volume "LV" markers indicate possible price direction changes not visible without volume monitoring, while high momentum "HM" markers flag significant whale-driven moves, providing a combined approach for crypto traders that adapts across markets.
Key Features & Benefits
a) Dynamic Nature with Volume Integration
CMPv3 adjusts its cycle length based on real-time price action, unlike MACD or traditional cRSI. On a crypto 2H chart, the dominant cycle length (domCycle) varies between 10 and 30 bars, aligning with momentum shifts, while "LV" and "HM" markers track volume dynamics—differing from MACD’s fixed periods or cRSI’s set lookbacks.
b) Hurst Cycles for Precision
CMPv3 applies Hurst exponent analysis to detect cyclical patterns in price data. On a crypto 2H chart, this aligns momentum signals with market rhythms, working with volume markers to identify reversals that other tools may not catch.
c) Intent and Confirmation Signals Explained
The dual-signal system includes:
• Intent Signals: Immediate crossover alerts. On a crypto 2H chart, a solid turquoise upward marker below the bar indicates a potential low band crossover (bullish), while a solid yellow downward marker above suggests a high band crossover (bearish).
• Confirmation Signals: Larger solid markers appear one bar later if cRSI moves >3%, confirming the trend. Mid-range (50%) band crossovers use semi-transparent markers for additional momentum details.
d) Low Volume (LV) Markers: Indicating Potential Reversals
"LV" markers (light purple tabs) mark low volume periods that may suggest price direction changes not visible without volume monitoring. On a crypto 2H chart, "LV" triggers when the sum of the last 3 bars’ volume falls below the prior 2 bars, showing reduced participation—often a sign of upcoming reversals or breakouts. After an initial low volume event and a cRSI crossover, "LV" labels appear on subsequent low volume transitions, highlighting consolidation or exhaustion zones useful for anticipating shifts.
e) High Momentum (HM) Markers: Tracking Whale Moves
"HM" markers (solid green or red tabs) flag high momentum events driven by significant volume. On a crypto 2H chart, green "HM" tabs below the bar indicate bullish whale pumps, while red "HM" tabs above mark bearish dumps—providing signals of strong market moves after the initial sequence.
f) Cycle Changes as Bear/Bull Indicators
Cycle length shifts (domCycle) reflect market regimes. On a crypto 2H chart, an increase (green circle with white number below the bar) shows lengthening cycles, often linked to bullish consolidation. A decrease (red circle above) indicates shortening cycles, commonly tied to bearish exhaustion—offering real-time bias cues.
g) Multiple Signals in Close Proximity
When signals cluster, they provide additional context. On a crypto 2H chart, intent signals, confirmed crossovers, "LV" markers, "HM" markers, and cycle changes within a few bars indicate momentum, suggesting trend direction.
h) Crypto-Optimized Design with Multi-Asset Flexibility
Designed for cryptocurrencies on a 2H timeframe, CMPv3 operates in high-volatility settings with low volume and high momentum detection built in. Default settings are set for this context, but CMPv3 adapts to stocks, forex, and commodities through adjustable inputs—see the table below.
Customizing Inputs for Asset Classes
The Inputs tab allows adjustments:
• Use Auto Dominant Cycle Length: Default true for crypto’s dynamic cycles. Set to false and adjust Manual Dominant Cycle Length (e.g., 50) for slower assets like stocks.
• Cycle Smoothing EMA Period: Default 3 for crypto volatility—try 5-7 for smoother markets like forex.
• Volume/Price Thresholds: Base Volume Threshold (1.5) and Base Price Change % Threshold (1.5) fit crypto 2H. Increase for high-volume assets (e.g., BTC) or decrease for low-volatility (e.g., forex).
• Low Volume Settings: Low Volume Bars Sum (3) and Low Volume Lookback (2) define the "LV" window—adjust for sensitivity (e.g., 4 and 3 for stocks).
• Use Volume Weighted Candles: Default true—prompts a switch to VWC for crypto 2H results. Toggle off if volume data is sparse (e.g., forex line charts).
How to Use on a Crypto 2H Chart
1. Apply CMPv3: Add CMPv3 to your 2H crypto chart.
2. Monitor Low Volume: "LV" markers indicate potential reversals when volume drops (e.g., last 3 bars < prior 2).
3. Track High Momentum: "HM" markers (green pumps, red dumps) signal whale-driven moves.
4. Watch Intent Signals: Turquoise upward markers (bullish) or yellow downward markers (bearish) provide early alerts.
5. Confirm with Larger Signals: Solid markers one bar later indicate momentum.
6. Track Cycle Changes: Green (lengthening) or red (shortening) circles reflect regime shifts.
7. Combine Signals: Clusters with "LV," "HM," or crossover markers suggest direction.
8. Adjust Inputs: Modify for your crypto or other assets.
www.dropbox.com
Why It Differs from MACD & cRSI
On a crypto 2H chart, MACD uses fixed EMAs, while standard cRSI lacks cycle analysis. CMPv3 adjusts dynamically, includes Hurst cycles, and provides intent/confirmation signals—plus built-in "LV" and "HM" markers highlight low volume turning points and high momentum events not visible to price-only tools, offering insights where others don’t.
Feedback
If you've any comments let me know. Hope it's useful to you
EURUSD Swing High/Low ProjectionBikini Bottom custom projection tool. Aimed to project tops and bottoms. Don't use unless you understand how it works :)
Sessions [Key Sessions]Personal Script
This Pine Script (v5) indicator, "Sessions ," overlays trading session data on a TradingView chart. It supports four customizable sessions (default: New York, London, Tokyo, Sydney) with configurable time ranges, colors, and overlay options (Range, Trendline, Mean, VWAP, Max/Min). Session ranges are displayed as shaded boxes with adjustable transparency and optional outlines/labels. Timezone settings allow UTC offset or exchange timezone use. Daily dividers mark day changes with customizable line style (Solid, Dashed, Dotted), line color, text position (Top, Bottom), text color, and text size (Tiny, Small, Normal). Session dividers are optional, showing session transitions with dots and bars. The script uses functions to calculate averages, trendlines, VWAP, and ranges, plotting results with up to 500 bars back. Dashboard functionality is absent, focusing solely on session visualization and dividers.
yatofxDescription: "Ramon Coto's 3 Session Bar Color" Indicator
This TradingView Pine Script indicator colors candlestick bars based on three custom trading sessions. It allows traders to visually distinguish different market timeframes on their charts.
Features:
Three configurable trading sessions with user-defined time ranges.
Customizable session colors:
Session A → Blue
Session B → Red
Session C → Lime
Enable/disable sessions independently using input toggles.
Automatic session detection: Bars are colored based on the active session.
Optimized for TradingView Mobile & Desktop with clear and efficient logic.
How It Works:
1. User Inputs: The script takes session time ranges and enables/disables each session.
2. Session Detection: The script checks whether the current time falls within any of the defined sessions.
3. Bar Coloring: If a session is active, the corresponding color is applied to the bars.
This indicator helps traders quickly recognize which market session they are in, improving decision-making for session-based strategies.
Cyclical Momentum Pivots V2Cyclical Momentum Pivots V2 /b]
Overview
Welcome to Cyclical Momentum Pivots V2—a next-generation momentum indicator engineered to surpass traditional tools like MACD and standard cRSI with its dynamic adaptability and cutting-edge cycle analysis. Optimized for volatile assets like XRP on a 2-hour (2H) timeframe, this indicator leverages advanced Hurst cycle integration and a dual-signal system (intent and confirmation) to pinpoint momentum shifts with unparalleled accuracy. Below, we’ll explore its operation using a 2H XRP chart as a live example, showcasing why it’s a game-changer for crypto trading and beyond.
Key Features & Benefits
a) Dynamic Nature for Superior Accuracy
Unlike static indicators like MACD or traditional cRSI, Cyclical Momentum Pivots V2 dynamically adjusts its cycle length based on real-time price action. On a 2H XRP chart, the dominant cycle length (domCycle) adapts between 10 and 30 bars, reflecting XRP’s rapid momentum shifts. This fluidity ensures signals align with the market’s current rhythm—far more precise than MACD’s fixed periods or cRSI’s rigid lookbacks.
b) Hurst Cycles for Enhanced Precision
The indicator incorporates Hurst exponent analysis, a powerful tool for identifying cyclical patterns in price data. On XRP 2H, Hurst cycles refine momentum signals by filtering noise, ensuring trend changes—like those in early March 2025—align with underlying market rhythms. This precision catches reversals that simpler indicators miss, giving traders a deeper edge.
c) Intent and Confirmation Signals Explained
The dual-signal system is a standout feature:
Intent Signals: Appear instantly at crossover points as early warnings. On XRP 2H, a solid turquoise upward marker (#82D5F6) below the bar signals a potential low band crossover (bullish), while a solid yellow downward marker (#FFFF00) above flags a high band crossover (bearish). For example, on March 19th, 2025, a yellow intent signal hinted at a top-band crossunder.
Confirmation Signals: Follow one bar later if cRSI moves >3%, locking in the trend. Larger solid turquoise or yellow markers confirm the move—see March 25th, 2025, where a confirmed yellow signal validated a bearish shift. Additionally, 50% band crossovers (mid-range pivots) use semi-transparent markers (55% transparency) for nuanced momentum insights.
d) Cycle Changes as Bear/Bull Indicators
Cycle length shifts (domCycle) reveal market regimes. On XRP 2H, an increase (green circle with white number below the bar) signals lengthening cycles, often tied to bullish consolidation—check the buildup before March’s rally. A decrease (red circle above) indicates shortening cycles, typical of bearish exhaustion—visible post-March 25th downturn. These shifts guide your bias in real time.
e) Multiple Signals in Close Proximity
When signals cluster, they amplify confidence. On XRP 2H around mid-March 2025, a flurry of intent signals, confirmed crossovers, and a domCycle decrease within a few bars screamed bearish momentum—confirmed by XRP’s drop. This convergence, paired with whale-driven pumps (dark green flags) or dumps (dark red flags), is your cue to trust the trend.
f) Crypto-Optimized Design with Multi-Asset Flexibility
Built for cryptocurrencies like XRP, the indicator thrives in high-volatility environments. Its default settings are tuned for 2H crypto charts, balancing responsiveness and stability. However, it adapts to stocks, forex, and commodities via customizable inputs—see the table below for tailored values.
Input Values for Different Timeframes (Crypto-Optimized) www.dropbox.com
Customizing Inputs for Asset Classes
The Inputs tab offers flexibility:
Use Auto Dominant Cycle Length: Default true for crypto’s dynamic cycles (e.g., XRP). Set to false and adjust Manual Dominant Cycle Length (e.g., 50) for slower assets like stocks.
Cycle Smoothing EMA Period: Default 3 for XRP’s volatility—try 5-7 for smoother markets like forex.
Volume/Price Thresholds: Base Volume Threshold (2.0) and Base Price Change % Threshold (1.5) suit XRP 2H. Increase for high-volume assets (e.g., BTC) or decrease for low-volatility (e.g., forex).
Use Volume Weighted Candles: Default true—prompts a switch to VWC for optimal XRP 2H results. Toggle off if volume data is sparse (e.g., forex line charts).
How to Use on XRP 2H
Apply the Indicator: Add Cyclical Momentum Pivots V2 to your 2H XRP chart.
Watch Intent Signals: Turquoise upward markers (bullish) or yellow downward markers (bearish) offer early heads-ups.
Confirm with Larger Signals: Solid markers one bar later validate momentum—key on March 19th/25th, 2025.
Track Cycle Changes: Green (bullish lengthening) or red (bearish shortening) circles signal regime shifts.
Combine Signals: Clusters near whale flags (dark green/dark red) confirm XRP’s direction.
Adjust Inputs: Fine-tune for XRP or adapt for other assets.
Why It Beats MACD & cRSI
On XRP 2H, MACD lags with fixed EMAs, missing rapid swings, while standard cRSI lacks cycle depth. Cyclical Momentum Pivots V2 adapts dynamically, integrates Hurst cycles, and delivers intent/confirmation precision—offering actionable insights where others falter.
Médias Móveis Personalizadas por TipoContains 9, 20, 50, and 200 moving averages and a VWAP, allowing selection between simple and exponential with different colors and more!
Contem medias de 9 20 50 e 200 e uma vwap podendo escolher entre simples e exponencial com diferentes cores e etc!
Omar TradingOmar Trading Indicator – Description
The Omar Trading Indicator is a custom-built trading tool designed to identify potential buy signals based on multiple technical analysis factors. This indicator combines several key elements to improve trade accuracy and reliability.
Key Features:
✅ Zero Reversal from the Bottom – Detects price reversals from recent lows.
✅ Liquidity Check – Uses volume analysis to confirm market strength.
✅ MACD Crossover – Identifies bullish momentum when the MACD line crosses above the signal line.
✅ Moving Average Crossover – Confirms trend direction when a fast-moving average crosses a slow-moving average.
✅ Fibonacci Levels – Displays key Fibonacci retracement levels to identify potential support and resistance zones.
How It Works:
• The indicator scans for a zero-level price reversal from recent lows.
• It checks if volume is above the average liquidity level to confirm trade strength.
• A bullish MACD crossover is required to ensure upward momentum.
• A moving average crossover provides additional confirmation.
• Fibonacci retracement levels help traders identify key price zones for entry or exit.
Alerts & Notifications:
• The indicator plots buy signals directly on the chart.
• TradingView alerts can be set up to notify traders when all conditions align.
• Telegram integration allows automatic notifications for trade opportunities.
This tool is ideal for traders looking for a systematic and multi-confirmation approach to identifying potential buy opportunities.
Gold Scalping Basic+This script is the "Basic+ Gold Scalping Strategy," specifically designed for scalping XAUUSD on the 5-minute chart. It combines smart indicator filters with price action logic to help traders identify high-probability entries and exits. The strategy is based on market structure, trend bias, and momentum confirmation, making it ideal for short-term traders who want clarity in fast-moving gold markets.
Key Features:
Trend-based entry signals using price action
Indicator filters to avoid false setups
Works best in volatile conditions
Optimized for 5M timeframe
Includes visual signals for buy/sell zones
Supertrend + MACD CrossoverKey Elements of the Template:
Supertrend Settings:
supertrendFactor: Adjustable to control the sensitivity of the Supertrend.
supertrendATRLength: ATR length used for Supertrend calculation.
MACD Settings:
macdFastLength, macdSlowLength, macdSignalSmoothing: These settings allow you to fine-tune the MACD for better results.
Risk Management:
Stop-Loss: The stop-loss is based on the ATR (Average True Range), a volatility-based indicator.
Take-Profit: The take-profit is based on the risk-reward ratio (set to 3x by default).
Both stop-loss and take-profit are dynamic, based on ATR, which adjusts according to market volatility.
Buy and Sell Signals:
Buy Signal: Supertrend is bullish, and MACD line crosses above the Signal line.
Sell Signal: Supertrend is bearish, and MACD line crosses below the Signal line.
Visual Elements:
The Supertrend line is plotted in green (bullish) and red (bearish).
Buy and Sell signals are shown with green and red triangles on the chart.
Next Steps for Optimization:
Backtesting:
Run backtests on BTC in the 5-minute timeframe and adjust parameters (Supertrend factor, MACD settings, risk-reward ratio) to find the optimal configuration for the 60% win ratio.
Fine-Tuning Parameters:
Adjust supertrendFactor and macdFastLength to find more optimal values based on BTC's market behavior.
Tweak the risk-reward ratio to maximize profitability while maintaining a good win ratio.
Evaluate Market Conditions:
The performance of the strategy can vary based on market volatility. It may be helpful to evaluate performance in different market conditions or pair it with a filter like RSI or volume.
Let me know if you'd like further tweaks or explanations!
First EMA Touch (Last N Bars)Okay, here's a description of the "First EMA Touch (Last N Bars)" TradingView indicator:
Indicator Name: First EMA Touch (Last N Bars)
Core Purpose:
This indicator is designed to visually highlight on the chart the exact moment when the price (specifically, the high/low range of a price bar) makes contact with a specified Exponential Moving Average (EMA) for the first time within a defined recent lookback period (e.g., the last 20 bars).
How it Works:
EMA Calculation: It first calculates a standard Exponential Moving Average (EMA) based on the user-defined EMA Length and EMA Source (e.g., close price). This EMA line is plotted on the chart, often serving as a dynamic level of potential support or resistance.
"Touch" Detection: For every price bar, the indicator checks if the bar's range (from its low to its high) overlaps with or crosses the calculated EMA value for that bar. If low <= EMA <= high, it's considered a "touch".
"First Touch" Logic: This is the key feature. The indicator looks back over a specified number of preceding bars (defined by the Lookback Period). If a "touch" occurs on the current bar, and no "touch" occurred on any of the bars within that preceding lookback window, then the current touch is marked as the "first touch".
Visual Signal: When a "first touch" condition is met, the indicator plots a distinct shape (by default, a small green triangle) below the corresponding price bar. This makes it easy to spot these specific events.
Key Components & Settings:
EMA Line: The calculated EMA itself is plotted (typically as an orange line) for visual reference.
First Touch Signal: A shape (e.g., green triangle) appears below bars meeting the "first touch" criteria.
EMA Length (Input): Determines the period used for the EMA calculation. Shorter lengths make the EMA more reactive to recent price changes; longer lengths make it smoother and slower.
Lookback Period (Input): Defines how many bars (including the current one) the indicator checks backwards to determine if the current touch is the first one. A lookback of 20 means it checks if there was a touch in the previous 19 bars before signalling the current one as the first.
EMA Source (Input): Specifies which price point (close, open, high, low, hl2, etc.) is used to calculate the EMA.
Interpretation & Potential Uses:
Identifying Re-tests: The signal highlights when price returns to test the EMA after having stayed away from it for the duration of the lookback period. This can be significant as the market re-evaluates the EMA level.
Potential Reversal/Continuation Points: A first touch might indicate:
A potential area where a trend might resume after a pullback (if price bounces off the EMA).
A potential area where a reversal might begin (if price strongly rejects the EMA).
A point of interest if price consolidates around the EMA after the first touch.
Filtering Noise: By focusing only on the first touch within a period, it can help filter out repeated touches that might occur during choppy or consolidating price action around the EMA.
Confluence: Traders might use this signal in conjunction with other forms of analysis (e.g., horizontal support/resistance, trendlines, candlestick patterns, other indicators) to strengthen trade setups.
Limitations:
Lagging: Like all moving averages, the EMA is a lagging indicator.
Not Predictive: The signal indicates a specific past event (the first touch) occurred; it doesn't guarantee a future price movement.
Parameter Dependent: The effectiveness and frequency of signals heavily depend on the chosen EMA Length and Lookback Period. These may need tuning for different assets and timeframes.
Requires Confirmation: It's generally recommended to use this indicator as part of a broader trading strategy and not rely solely on its signals for trade decisions.
In essence, the "First EMA Touch (Last N Bars)" indicator provides a specific, refined signal related to price interaction with a moving average, helping traders focus on potentially significant initial tests of the EMA after a period of separation.
The Crypto Wizard# The Crypto Wizard (Cwiz)
## Advanced Trading Framework for Cryptocurrency Markets
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The Crypto Wizard (Cwiz) offers a customizable, robust trading framework designed specifically for cryptocurrency market volatility. This open-source foundation provides essential components for building profitable automated trading strategies.
### Key Performance Indicators
| Metric | Value |
|--------|-------|
| Profit Factor | 1.992 |
| Sortino Ratio | 5.589 |
| Win Rate | ~40% |
| Max Drawdown | 15.82% |
### Core Features
- **Position Scaling System**: Intelligent position sizing with customizable multipliers and risk controls
- **Multi-layered Exit Strategy**: Combined take-profit, fixed stop-loss, and trailing stop mechanisms
- **Customizable Entry Framework**: Easily integrate your own entry signals and conditions
- **Comprehensive Visualization Tools**: Real-time performance tracking with position labels and indicators
### Setup Instructions
```pine PHEMEX:FARTCOINUSDT.P
// 1. Add to your chart and configure basic parameters
// 2. Adjust risk parameters based on your risk tolerance
// 3. Customize entry conditions or use defaults
// 4. Back-test across various market conditions
// 5. Enable live trading with careful monitoring
```
### Risk Management
Cwiz implements a sophisticated risk management system with:
- Automatic position size scaling
- User-defined maximum consecutive trades
- ATR-based dynamic stop loss placement
- Built-in circuit breakers for extreme market conditions
### Customization Options
The framework is designed for flexibility without compromising core functionality. Key customization points:
- Entry signal generation
- Position sizing parameters
- Stop loss and take profit multipliers
- Visualization preferences
### Recommended Usage
Best suited for volatile cryptocurrency markets with sufficient liquidity. Performs optimally in trending conditions but includes mechanisms to manage ranging markets.
---
*Disclaimer: Trading involves significant risk. Past performance is not indicative of future results. Always test thoroughly before live deployment.*
Cycle Biologique Strategy // (\_/)
// ( •.•)
// (")_(")
//@fr33domz
Experimental Research: Cycle Biologique Strategy
Overview
The "Cycle Biologique Strategy" is an experimental trading algorithm designed to leverage periodic cycles in price movements by utilizing a sinusoidal function. This strategy aims to identify potential buy and sell signals based on the behavior of a custom-defined biological cycle.
Key Parameters
Cycle Length: This parameter defines the duration of the cycle, set by default to 30 periods. The user can adjust this value to optimize the strategy for different asset classes or market conditions.
Amplitude: The amplitude of the cycle influences the scale of the sinusoidal wave, allowing for customization in the sensitivity of buy and sell signals.
Offset: The offset parameter introduces phase shifts to the cycle, adjustable within a range of -360 to 360 degrees. This flexibility allows the strategy to align with various market rhythms.
Methodology
The core of the strategy lies in the calculation of a periodic cycle using a sinusoidal function.
Trading Signals
Buy Signal: A buy signal is generated when the cycle value crosses above zero, indicating a potential upward momentum.
Sell Signal: Conversely, a sell signal is triggered when the cycle value crosses below zero, suggesting a potential downtrend.
Execution
The strategy executes trades based on these signals:
Upon receiving a buy signal, the algorithm enters a long position.
When a sell signal occurs, the strategy closes the long position.
Visualization
To enhance user experience, the periodic cycle is plotted visually on the chart in blue, allowing traders to observe the cyclical nature of the strategy and its alignment with market movements.
Killzones (UTC+3) by Roy באנגלית (Professional Style):
This script highlights the key Forex/Indices trading Killzones in Israel Time (UTC+3), including background colors and dynamic labels for:
Asian Session: 02:00–08:00
London Open: 10:00–12:00
New York Open: 14:00–17:00
London Close: 18:00–19:00
These are the hours with high institutional activity and increased market volatility – ideal for smart intraday setups.
✨ תיאור הסקריפט:
סקריפט זה מציג באופן ויזואלי את אזורי המסחר הפעילים ("Killzones") לפי שעון ישראל (UTC+3), כולל רקע צבעוני ותוויות טקסט לכל אזור חשוב:
🟤 Asian Killzone – בין השעות 02:00–08:00
🟢 London Killzone – בין השעות 10:00–12:00
🔵 New York Killzone – בין השעות 14:00–17:00
🔴 London Close – בין השעות 18:00–19:00
אידיאלי לסוחרים המחפשים לזהות מתי השוק נמצא בשיא התנודתיות והנפח.
EMA & RSI & MACD & Stochastic sec TTD
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## **EMA & RSI & MACD – Trend Dashboard by Timeframe**
This script is a **multi-timeframe trend dashboard** that combines several popular technical indicators across key timeframes to give traders a **quick snapshot of trend direction**.
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### 🔍 **What This Indicator Does**
This indicator visually displays the **trend bias** from five key indicators:
- **EMA 50/200**: Long-term trend (classic golden/death cross logic)
- **EMA 5/7/9**: Short-term trend
- **RSI (14)**: Momentum trend using RSI vs its own 14-SMA
- **MACD**: MACD line vs Signal line
- **EMA 5 vs SMA 14**: A unique short-to-mid-term trend perspective
Each trend is represented by an emoji symbol:
- 🟢 **Uptrend**
- 🔴 **Downtrend**
- ⚫️ **Neutral**
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### 🕒 **Covered Timeframes**
You can toggle on/off each timeframe as needed:
- 2H
- 3H
- 4H
- 8H
- 12H
- 1D
These are displayed vertically, with trend indicators across columns, so you can spot multi-timeframe confluence easily.
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### 📊 **Dashboard Features**
- Positioned **on chart** at customizable screen locations (e.g., Middle Right, Bottom Left, etc.)
- **Table color, text size, and emojis** can all be customized in the settings
- **Live updating table** (last bar only) to reduce lag and clutter
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### 📈 **Calculation Logic**
Each trend indicator is derived as follows:
#### ✅ **EMA 5/7/9 Trend**
- 🟢 if 5 > 7 > 9 (short-term bullish)
- 🔴 if 5 < 7 < 9 (short-term bearish)
- ⚫️ otherwise (neutral)
#### ✅ **EMA 50/200 Trend**
- 🟢 if price > EMA50 > EMA200 (classic bullish)
- 🔴 if price < EMA50 < EMA200 (classic bearish)
- ⚫️ otherwise
#### ✅ **RSI Trend**
- 🟢 if RSI > SMA(RSI)
- 🔴 if RSI < SMA(RSI)
- ⚫️ otherwise
#### ✅ **MACD Trend**
- 🟢 if MACD Line > Signal Line
- 🔴 if MACD Line < Signal Line
- ⚫️ otherwise
#### ✅ **EMA 5 vs SMA 14 Trend**
- 🟢 if EMA5 > SMA14
- 🔴 if EMA5 < SMA14
- ⚫️ otherwise
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### 🛠️ **Customization**
In the settings panel, users can:
- Show/hide each timeframe
- Change the table's position
- Adjust text size and color
- Customize emoji symbols used for trends
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### 📌 Use Case
This dashboard is ideal for:
- **Swing traders** and **intraday traders** monitoring multiple timeframes
- Identifying **trend confluence zones** across indicators
- Making quick, high-confidence trading decisions
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