6 EMAThis indicator allows you to set up 6 EMAs.
By default, the EMAs are based on the candle's closing price.
The default values are 7, 20, 60, 120, 200, and 400, and you can toggle each EMA on or off as needed.
אינדיקטורים ואסטרטגיות
Natural Moving Averages (Jim Sloman's Ocean Theory)Natural Moving Averages invented by Jim Sloman.
Code copied by IA from the TradeStation code.
Includes the Fast and the Regular NMAs.
Jim Sloman invented Ocean Theory and the NMA is its building block.
ES/NQ, Pre-Market High & Low (04:00 AM - 09:30 AM)This indicator marks the Pre market high and Pre market low from 04:00am to 09:30am for any us Index
Waves of Wealth Pair Trading RatioThis versatile indicator dynamically plots the ratio between two user-selected instruments, helping traders visualize relative performance and detect potential mean-reversion or trend continuation opportunities.
Features include:
User inputs for selecting any two instrument symbols for comparison.
Adjustable moving average period to track the average ratio over time.
Customizable standard deviation multiplier to define statistical bands for overbought and oversold conditions.
Visual display of the ratio line alongside upper and lower bands for clear trading signals.
Ideal for pair traders and market analysts seeking a flexible tool to monitor inter-asset relationships and exploit deviations from historical norms.
Simply set your preferred symbols and parameters to tailor the indicator to your trading style and assets of interest.
How to Use the Custom Pair Trading Ratio Indicator
Select symbols: Use the indicator inputs to set any two instruments you want to compare—stocks, commodities, ETFs, or indices. No coding needed, just type or select from the dropdown.
Adjust parameters: Customize the moving average length to suit your trading timeframe and style. The standard deviation multiplier lets you control sensitivity—higher values mean wider bands, capturing only larger deviations.
Interpret the chart:
The ratio line shows relative strength between the two instruments.
The middle line represents the average ratio (mean).
The upper and lower bands indicate statistical extremes where price action is usually overextended.
Trading signals:
Look to enter pair trades when the ratio moves outside the bands—expecting a return to the mean.
Use the bands and mean to set stop-loss and profit targets.
Combine with other analysis or fundamental insight for best results.
tclibLibrary "tclib"
super_smoother(data, smoothing_period)
Parameters:
data (float)
smoothing_period (int)
The Best Strategy Template[LuciTech]Hello Traders,
This is a powerful and flexible strategy template designed to help you create, backtest, and deploy your own custom trading strategies. This template is not a ready-to-use strategy but a framework that simplifies the development process by providing a wide range of pre-built features and functionalities.
What It Does
The LuciTech Strategy Template provides a robust foundation for building your own automated trading strategies. It includes a comprehensive set of features that are essential for any serious trading strategy, allowing you to focus on your unique trading logic without having to code everything from scratch.
Key Features
The LuciTech Strategy Template integrates several powerful features to enhance your strategy development:
•
Advanced Risk Management: This includes robust controls for defining your Risk Percentage per Trade, setting a precise Risk-to-Reward Ratio, and implementing an intelligent Breakeven Stop-Loss mechanism that automatically adjusts your stop to the entry price once a specified profit threshold is reached. These elements are crucial for capital preservation and consistent profitability.
•
Flexible Stop-Loss Options: The template offers adaptable stop-loss calculation methods, allowing you to choose between ATR-Based Stop-Loss, which dynamically adjusts to market volatility, and Candle-Based Stop-Loss, which uses structural price points from previous candles. This flexibility ensures the stop-loss strategy aligns with diverse trading styles.
•
Time-Based Filtering: Optimize your strategy's performance by restricting trading activity to specific hours of the day. This feature allows you to avoid unfavorable market conditions or focus on periods of higher liquidity and volatility relevant to your strategy.
•
Customizable Webhook Alerts: Stay informed with advanced notification capabilities. The template supports sending detailed webhook alerts in various JSON formats (Standard, Telegram, Concise Telegram) to external platforms, facilitating real-time monitoring and potential integration with automated trading systems.
•
Comprehensive Visual Customization: Enhance your analytical clarity with extensive visual options. You can customize the colors of entry, stop-loss, and take-profit lines, and effectively visualize market inefficiencies by displaying and customizing Fair Value Gap (FVG) boxes directly on your chart.
How It Does It
The LuciTech Strategy Template is meticulously crafted using Pine Script, TradingView's powerful and expressive programming language. The underlying architecture is designed for clarity and modularity, allowing for straightforward integration of your unique trading signals. At its core, the template operates by taking user-defined entry and exit conditions and then applying a sophisticated layer of risk management, position sizing, and trade execution logic.
For instance, when a longCondition or shortCondition is met, the template dynamically calculates the appropriate position size. This calculation is based on your specified risk_percent of equity and the stop_distance (the distance between your entry price and the calculated stop-loss level). This ensures that each trade adheres to your predefined risk parameters, a critical component of disciplined trading.
The flexibility in stop-loss calculation is achieved through a switch statement that evaluates the sl_type input. Whether you choose an ATR-based stop, which adapts to market volatility, or a candle-based stop, which uses structural price points, the template seamlessly integrates these methods. The ATR calculation itself is further refined by allowing various smoothing methods (RMA, SMA, EMA, WMA), providing granular control over how volatility is measured.
Time-based filtering is implemented by comparing the current bar's time with user-defined start_hour, start_minute, end_hour, and end_minute inputs. This allows the strategy to activate or deactivate trading during specific market sessions or periods of the day, a valuable tool for optimizing performance and avoiding unfavorable conditions.
Furthermore, the template incorporates advanced webhook alert functionality. When a trade is executed, a customizable JSON message is formatted based on your webhook_format selection (Standard, Telegram, or Concise Telegram) and sent via alert function. This enables seamless integration with external services for real-time notifications or even automated trade execution through third-party platforms.
Visual feedback is paramount for understanding strategy behavior. The template utilizes plot and fill functions to clearly display entry prices, stop-loss levels, and take-profit targets directly on the chart. Customizable colors for these elements, along with dedicated options for Fair Value Gap (FVG) boxes, enhance the visual analysis during backtesting and live trading, making it easier to interpret the strategy's actions.
How It's Original
The LuciTech Strategy Template distinguishes itself in the crowded landscape of TradingView scripts through its unique combination of integrated, advanced risk management features, highly flexible stop-loss methodologies, and sophisticated alerting capabilities, all within a user-friendly and modular framework. While many templates offer basic entry/exit signal integration, LuciTech goes several steps further by providing a robust, ready-to-use infrastructure for managing the entire trade lifecycle once a signal is generated.
Unlike templates that might require users to piece together various risk management components or code complex stop-loss logic from scratch, LuciTech offers these critical functionalities out-of-the-box. The inclusion of dynamic position sizing based on a user-defined risk percentage, a configurable risk-to-reward ratio, and an intelligent breakeven mechanism significantly elevates its utility. This comprehensive approach to capital preservation and profit targeting is a cornerstone of professional trading and is often overlooked or simplified in generic templates.
Furthermore, the template's provision for multiple stop-loss calculation types—ATR-based for volatility adaptation, and candle-based for structural support/resistance—demonstrates a deep understanding of diverse trading strategies. The underlying code for these calculations is already implemented, saving developers considerable time and effort. The subtle yet powerful inclusion of FVG (Fair Value Gap) related inputs also hints at advanced price action concepts, offering a sophisticated layer of analysis and execution that is not commonly found in general-purpose templates.
The advanced webhook alerting system, with its support for various JSON formats tailored for platforms like Telegram, showcases an originality in catering to the needs of modern, automated trading setups. This moves beyond simple TradingView pop-up alerts, enabling seamless integration with external systems for real-time trade monitoring and execution. This level of external connectivity and customizable data output is a significant differentiator.
In essence, the LuciTech Strategy Template is original not just in its individual features, but in how these features are cohesively integrated to form a powerful, opinionated, yet highly adaptable system. It empowers traders to focus their creative energy on developing their core entry/exit signals, confident that the underlying framework will handle the complexities of risk management, trade execution, and external communication with precision and flexibility. It's a comprehensive solution designed to accelerate the development of robust and professional trading strategies.
How to Modify the Logic to Apply Your Strategy
The LuciTech Strategy Template is designed with modularity in mind, making it exceptionally straightforward to integrate your unique trading strategy logic. The template provides a clear separation between the core strategy management (risk, position sizing, exits) and the entry signal generation. This allows you to easily plug in your own buy and sell conditions without altering the robust underlying framework.
Here’s a step-by-step guide on how to adapt the template to your specific trading strategy:
1.
Locate the Strategy Logic Section:
Open the Pine Script editor in TradingView and navigate to the section clearly marked with the comment //Strategy Logic Example:. This is where the template’s placeholder entry conditions (a simple moving average crossover) are defined.
2.
Define Your Custom Entry Conditions:
Within this section, you will find variables such as longCondition and shortCondition. These are boolean variables that determine when a long or short trade should be initiated. Replace the existing example logic with your own custom buy and sell conditions. Your conditions can be based on any combination of indicators, price action patterns, candlestick formations, or other market analysis techniques. For example, if your strategy involves a combination of RSI and MACD, you would define longCondition as (rsi > 50 and macd_line > signal_line) and shortCondition as (rsi < 50 and macd_line < signal_line).
3.
Leverage the Template’s Built-in Features:
Once your longCondition and shortCondition are defined, the rest of the template automatically takes over. The integrated risk management module will calculate the appropriate position size based on your Risk % input and the chosen Stop Loss Type. The Risk:Reward ratio will determine your take-profit levels, and the Breakeven at R feature will manage your stop-loss dynamically. The time filter (Use Time Filter) will ensure your trades only occur within your specified hours, and the webhook alerts will notify you of trade executions.
Inside Bar Breakout Indicator V2 by Tek Tek Teknik AnalizThis indicator contains 7 parameter RSIs (relative power index). (It can be changed from the code because it is open source.)
Inside follows the formation of the bar and the price is under the EMA line, if the RSI rises above 70, it starts to produce a signal for sales with a red colored label. (Not every signal does not represent net sales. It is only for aid purposes!)
If the price is above the EMA line and the RSI goes below the value of 30, the green colored label starts to produce purchase signals. (Not every signal does not represent clearly. It is only for help!)
Youtube channel: Tek Tek Teknik Analiz
X : @TTTeknikanaliz
Turtle Trading by the Nato FinancialsFor the Turtle-style breakout system (with ATR stop, 20-day breakout, 10-day exit, and filters like ADX/volume), I will share the win rates once testing is done.
RSI/Stochastic with overlays a moving average + Bollinger BandsCompact oscillator panel that lets you switch the base between RSI and Stochastic %K, then overlays a moving average + Bollinger Bands on the oscillator values (not on price) to read momentum strength and squeeze/expansion.
What’s added
Selectable base: RSI ↔ Stochastic %K (plots %D when Stoch is chosen).
MA + BB on oscillator to gauge momentum trend (MA) and volatility (bands).
Adjustable bands 70/50/30 with optional fill, plus optional regular divergence and alerts.
How to read
Bull bias: %K above osc-MA and pushing/closing near Upper BB; confirm with %K > %D.
Bear bias: %K below osc-MA and near Lower BB; confirm with %K < %D.
Squeeze: BB on oscillator tightens → expect momentum breakout.
Overextension: repeated touches of Upper/Lower BB in 70/30 zones → strong trend; watch for %K–%D recross.
Quick settings (start here)
Stoch: 14 / 3 / 3; Bands: 70/50/30.
Osc-MA: EMA 14.
BB on oscillator: StdDev 2.0 (tune 1.5–2.5).
Note
Analysis tool, not financial advice. Backtest across timeframes and use risk management.
SatoshiFrame Pivot DetectorThis script detects pivot highs and lows on the chart and plots the last three pivots as fixed horizontal rays that do not shift when the chart moves. It also optionally displays labels for each pivot and can color the levels based on strength thresholds.
RSI Custom Crossermarks custom RSI cross upwards. Just to help identify wherever there is crossover. It can be used for analysis of psi. Not a strategy
Panchak Dates High/Low 2024-2025 - UpdatedThis is showing Panchak Periods High and Low and plot line on high value and low value
LB PortLag Exit IndicatorAllows you to compare a benchmark against any asset over the last X candles. Simple.
Triple RSI | MisinkoMasterThe Triple RSI (TRSI) is an advanced trend-following oscillator designed to capture trend reversals with speed and smoothness, combining concepts from traditional RSI, multi-timeframe momentum analysis, and layered moving average smoothing.
By blending multiple RSI lengths and applying a unique smoothing sequence, the TRSI creates a fast, momentum-driven RSI oscillator that reduces noise without sacrificing responsiveness.
🔎 Methodology
The indicator is built in three main steps:
Multi-Length RSI Calculation
Three RSIs are calculated using different lengths derived from the user’s input n:
RSI(√n) → very fast, highly responsive.
RSI(n/2) → moderately fast.
RSI(n) → slower, more stable baseline.
Each RSI is normalized by subtracting 50, centering values around zero.
Triple RSI Formula
The three RSIs are combined into the base formula:
TRSI=RSI(√n)+RSI(n/2)−RSI(n)
TRSI=RSI(√n)+RSI(n/2)−RSI(n)
This subtracts the slower RSI from the faster ones, boosting responsiveness and making the TRSI more momentum-oriented than a standard RSI.
Layered Smoothing
The raw TRSI is smoothed in three steps:
RMA(n/2)
RMA(√n)
HMA(√n)
This sequence balances stability and speed:
RMA provides consistency and reduces false noise.
HMA adds responsiveness and precision.
The result is a smooth yet reactive oscillator, optimized for reversal detection.
📈 Trend Classification
The TRSI offers three ways to interpret trend direction:
Oscillator Values
Above 0 → Bullish (uptrend).
Below 0 → Bearish (downtrend).
Oscillator Colors
Green TRSI line → Positive momentum.
Red TRSI line → Negative momentum.
Background Colors
Green background flash → Reversal into bullish trend.
Red background flash → Reversal into bearish trend.
This makes it easy to scan past price history and quickly identify turning points.
🎨 Visualization
TRSI line plotted with dynamic coloring (green/red).
Filled area between TRSI and zero-line reflects momentum bias.
Background flashes highlight trend reversal points, adding context and clarity for visual traders.
⚡ Features
Adjustable length parameter (n).
Dynamic use of √n and n/2 for multi-speed RSI blending.
Built-in smoothing with 2× RMA + 1× HMA.
Multiple trend detection methods (value, color, background).
Works across all assets and timeframes (crypto, forex, stocks, indices).
✅ Use Cases
Reversal Detection → Catch early shifts in trend direction.
Trend Confirmation → Stay aligned with momentum.
Momentum Filter → Avoid counter-trend trades in trending markets.
Historical Analysis → Quickly scan past reversals via background coloring.
⚠️ Limitations
As with all oscillators, TRSI may give false signals in sideways/choppy markets.
Optimal sensitivity depends on asset volatility → adjust n for best results.
It is not a standalone system and should be combined with other tools (trend filters, volume, higher timeframe confluence).
Z-Score For Loop | MisinkoMasterThe Z-Score For Loop (ZSFL) is a unique trend-following oscillator designed to detect potential reversals and momentum shifts earlier than traditional tools, providing traders with fast, adaptive, and reliable signals.
Unlike common smoothing techniques (moving averages, medians, or modes), the ZSFL introduces a for-loop comparison method that balances speed and noise reduction, resulting in a powerful reversal-detection system.
🔎 Methodology
The indicator is built in two main stages:
Z-Score Calculation
Formula:
Z=(Source−Mean)/Standard Deviation
Z=
Standard Deviation
(Source−Mean)
The user can select the averaging method for the mean: SMA, EMA, WMA, HMA, DEMA, or TEMA.
Recommended: EMA, SMA, or WMA for balanced accuracy.
The choice of biased (sample) or unbiased (population) standard deviation is also available.
➝ On its own, the raw Z-score is fast but noisy, requiring additional filtering.
For Loop Logic (Noise Reduction)
Instead of using traditional smoothing (which adds lag), the indicator applies a for loop comparison.
The current Z-score is compared against previous values over a user-defined range (start → end).
Each comparison adds or subtracts “points”:
+1 point if the current Z-score is higher than a past Z-score.
-1 point if it is lower.
The final value is the cumulative score, reflecting whether the Z-score is generally stronger or weaker than its historical context.
➝ This approach keeps speed intact while removing much of the false noise that raw Z-scores generate.
📈 Trend Logic
Bullish Signal (Cyan) → Triggered when the score crosses above the upper threshold (default +45).
Bearish Signal (Magenta) → Triggered when the score crosses below the lower threshold (default -25).
Neutral → When the score remains between the thresholds.
Thresholds are adjustable, making the tool flexible for different assets and timeframes.
🎨 Visualization
The ZSFL score is plotted as a main oscillator line.
Upper and lower thresholds are plotted as static reference levels.
The price chart can also be color-coded with trend signals (cyan for bullish, magenta for bearish) to provide immediate visual confirmation.
⚡ Features
Adjustable Z-score length (len).
Multiple average types for the mean (SMA, EMA, WMA, HMA, DEMA, TEMA).
Toggle between biased vs. unbiased SD calculations.
Adjustable For Loop range (start, end).
Adjustable upper and lower thresholds for signal generation.
Works as both an oscillator and a price overlay tool.
✅ Use Cases
Reversal Detection → Spot early shifts before price confirms them.
Trend Confirmation → Use thresholds to filter false reversals.
System Filter → Combine with trend indicators to refine entries.
Multi-Timeframe Setup → Works well across different timeframes for swing, day, or intraday trading.
⚠️ Limitations
As with all oscillators, the ZSFL will generate false signals in sideways/choppy markets.
Optimal parameters (length, loop size, thresholds) may differ across assets.
It is not a standalone trading system — use alongside other forms of analysis (trend filters, volume, higher timeframe confluence).
Double Median SD Bands | MisinkoMasterThe Double Median SD Bands (DMSDB) is a trend-following tool designed to capture market direction in a way that balances responsiveness and smoothness, filtering out excessive noise without introducing heavy lag.
Think of it like a house:
A jail (too restrictive) makes you miss opportunities.
No house at all (too unsafe) leaves you exposed to false signals.
DMSDB acts like a comfortable house with windows—protecting you from the noise while still letting you see what’s happening in the market.
🔎 Methodology
The script works in the following steps:
Standard Deviation (SD) Calculation
Computes the standard deviation of the selected price source (ohlc4 by default).
The user can choose whether to use biased (sample) or unbiased (population) standard deviation.
Raw Bands Construction
Upper Band = source + (SD × multiplier)
Lower Band = source - (SD × multiplier)
The multiplier can be adjusted for tighter or looser bands.
First Median Smoothing
Applies a median filter over half of the length (len/2) to both bands.
This reduces noise without creating excessive lag.
Second Median Smoothing
Applies another median filter over √len to the already smoothed bands.
This produces a balance:
Cutting the length → maintains responsiveness.
Median smoothing → reduces whipsaws.
The combination creates a fast yet clean band system ideal for trend detection.
📈 Trend Logic
The trend is detected based on price crossing the smoothed bands:
Long / Bullish (Purple) → when price crosses above the upper band.
Short / Bearish (Gold) → when price crosses below the lower band.
Neutral → when price remains between the bands.
🎨 Visualization
Upper and lower bands are plotted as colored lines.
The area between the bands is filled with a transparent zone that reflects the current bias:
Purple shading = Bullish zone.
Golden shading = Bearish zone.
This creates a visual tunnel for trend confirmation, helping traders quickly identify whether price action is trending or consolidating.
⚡ Features
Adjustable Length parameter (len) for dynamic control.
Adjustable Band Multiplier for volatility adaptation.
Choice between biased vs. unbiased standard deviation.
Double median smoothing for clarity + responsiveness.
Works well on cryptocurrencies (e.g., BTCUSD) but is flexible enough for stocks, forex, and indices.
✅ Use Cases
Trend Following → Ride trends by staying on the correct side of the bands.
Entry Timing → Use crossovers above/below bands for entry triggers.
Filter for Other Strategies → Can serve as a directional filter to avoid trading against the trend.
⚠️ Limitations & Notes
This is a trend-following tool, so it will perform best in trending conditions.
In sideways or choppy markets, whipsaws may still occur (although smoothing reduces them significantly).
The indicator is not a standalone buy/sell system. For best results, combine with volume, momentum, or higher-timeframe confluence.
All of this makes for a really unique & original tool, as it removes noise but keeps good responsitivity, using methods from many different principles which make for a smooth a very useful tool
NY Session Candle (09:30-16:00 ET, Mon-Fri)This indicator plots one synthetic candle per day that represents the official New York trading session (09:30–16:00 ET).
It aggregates the open, high, low, and close across the entire session and draws a single candle on your chart, making it easier to compare session ranges, direction, make studies and volatility.
Features:
-Aggregates intraday OHLC into one candle per session.
-Colors the candle green/red depending on close vs. open.
-Excludes weekends (Sat/Sun) automatically.
-Adjustable timezone and session window in settings.
Use case:
Helps traders visually analyze how each New York session behaved without changing chart timeframes. It is a visualization tool only and does not generate trading signals or predictions.
Notes:
The script does not repaint and does not use lookahead.
The candle of the session only shows once the FULL session is closed, it is not a dynamic candle.
It is for analysis purposes only, not a trading strategy.
Original code and idea; no third-party scripts reused
Multi-Indicator Panel (RSI, Stoch, MACD, VIX Fix, MFI)A versatile single-pane oscillator panel combining RSI, Stochastic, MACD (scaled to 0–100), Williams VIX Fix (normalized & inverted: low value = high fear), and MFI. Each module is toggleable, with reference levels, background highlights, and ready-made alerts.
Key features
Per-indicator toggles: RSI, Stoch %K/%D, MACD (lines + optional histogram), inverted 0–100 VIX Fix, and MFI.
Standard levels & center line at 50; adjustable overbought/oversold thresholds.
Contextual background coloring (optional) for extreme conditions.
Built-in alerts: RSI/Stoch OB/OS, MACD–Signal cross, VIX Fix “High Fear/Low Fear,” and MFI OB/OS.
Unified scale: MACD mapped around 50 to align with other oscillators; VIX Fix normalized to 0–100.
How to use (quick)
Add the indicator → enable needed modules via “Indicator Toggles.”
Tune periods & levels (e.g., RSI 14, Stoch 14/3, MACD 12-26-9, VIX Fix 22/252, MFI 14).
(Optional) Turn on MACD histogram.
Create alerts from “Add alert on…” using the provided conditions.
Interpretation notes
Inverted VIX Fix: low values ⇒ high fear/volatility (potential bounces); high values ⇒ complacency.
Scaled MACD: lines around 50 ≈ MACD zero; line crosses remain valid despite scaling.
Disclaimer
Analysis tool, not financial advice. Test across timeframes/instruments and pair with risk management.
Nifty CPR by Foresight Trading📌 Indicator Name:
Nifty CPR by Foresight Trading
📖 Description:
This indicator plots the Central Pivot Range (CPR) along with the first resistance (R1) and first support (S1) levels, calculated from the previous day’s OHLC values.
Pivot (P) = (High + Low + Close) ÷ 3
BC (Bottom Central Pivot) = (High + Low) ÷ 2
TC (Top Central Pivot) = P + (P – BC)
R1 = (2 × Pivot) – Low
S1 = (2 × Pivot) – High
✅ The CPR and pivot levels are locked for the entire trading day, so they do not repaint intraday.
✅ Plotted as colored circles (dots) across the day for clear visibility.
✅ New levels are generated only at the start of a new session.
🎯 Usage:
Traders use CPR as a trend bias tool:
Narrow CPR → higher probability of trending day.
Wide CPR → higher probability of sideways/consolidation day.
R1 and S1 act as key intraday support & resistance zones.
⚡ Best For:
Intraday traders & scalpers
Index traders (Nifty, BankNifty, Stocks etc.)
Anyone who uses Pivot Point + CPR trading strategies
Next Week Vertical Line (Limited)A vertical line is drawn at the beginning of each week. A vertical line for the following week is also displayed. This will allow you to execute real-time strategies while keeping the horizontal axis of one week in mind.
Advanced Trading System - [WOLONG X DBG]Advanced Multi-Timeframe Trading System
Overview
This technical analysis indicator combines multiple established methodologies to provide traders with market insights across various timeframes. The system integrates SuperTrend analysis, moving average clouds, MACD-based candle coloring, RSI analysis, and multi-timeframe trend detection to suggest potential entry and exit opportunities for both swing and day trading approaches.
Methodology
The indicator employs a multi-layered analytical approach based on established technical analysis principles:
Core Signal Generation
SuperTrend Engine: Utilizes adaptive SuperTrend calculations with customizable sensitivity (1-20) combined with SMA confirmation filters to identify potential trend changes and continuations
Braid Filter System: Implements moving average filtering using multiple MA types (McGinley Dynamic, EMA, DEMA, TEMA, Hull, Jurik, FRAMA) with percentage-based strength filtering to help reduce false signals
Multi-Timeframe Analysis: Analyzes trend conditions across 10 different timeframes (1-minute to Daily) using EMA-based trend detection for broader market context
Advanced Features
MACD Candle Coloring: Applies dynamic 4-level candle coloring system based on MACD histogram momentum and signal line relationships for visual trend strength assessment
RSI Analysis: Identifies potential reversal areas using RSI oversold/overbought conditions with SuperTrend confirmation
Take Profit Analysis: Features dual-mode TP detection using statistical slope analysis and Parabolic SAR integration for exit timing analysis
Key Components
Signal Types
Primary Signals: Green ▲ for potential long entries, Red ▼ for potential short entries with trend and SMA alignment
Reversal Signals: Small circular indicators for RSI-based counter-trend possibilities
Take Profit Markers: X-cross symbols indicating statistical TP analysis zones
Pullback Signals: Purple arrows for potential trend continuation entries using Parabolic SAR
Visual Elements
8-Layer MA Cloud: Customizable moving average cloud system with 3 color themes for trend visualization
Real-Time Dashboard: Multi-timeframe trend analysis table showing bullish/bearish status across all timeframes
Dynamic Candle Colors: 4-intensity MACD-based coloring system (ranging from light to strong trend colors)
Entry/SL/TP Labels: Automatic calculation and display of suggested entry points, stop losses, and multiple take profit levels
Usage Instructions
Basic Configuration
Sensitivity Setting: Start with default value 6
Increase (7-15) for more frequent signals in volatile markets
Decrease (3-5) for higher quality signals in trending markets
MA Filter Type: McGinley Dynamic recommended for smoother signals
Filter Strength: Set to 80% for balanced filtering, adjust based on market conditions
Signal Interpretation
Long Entry: Green ▲ suggests when price crosses above SuperTrend with bullish SMA alignment
Short Entry: Red ▼ suggests when price crosses below SuperTrend with bearish SMA alignment
Reversal Opportunities: Small circles indicate RSI-based counter-trend analysis
Take Profit Zones: X-crosses mark statistical TP areas based on slope analysis
Dashboard Analysis
Green Cells: Bullish trend detected on that timeframe
Red Cells: Bearish trend detected on that timeframe
Multi-Timeframe Confluence: Look for alignment across multiple timeframes for stronger signal confirmation
Risk Management Features
Automatic Calculations
ATR-Based Stop Loss: Dynamic stop loss calculation using ATR multiplier (default 1.9x)
Multiple Take Profit Levels: Three TP targets with 1:1, 1:2, and 1:3 risk-reward ratios
Position Sizing Guidance: Entry labels display suggested price levels for order placement
Confirmation Requirements
Trend Alignment: Requires SuperTrend and SMA confirmation before signal generation
Filter Validation: Braid filter must show sufficient strength before signals activate
Multi-Timeframe Context: Dashboard provides broader market context for decision making
Optimal Settings
Timeframe Recommendations
Scalping: 1M-5M charts with sensitivity 8-12
Day Trading: 15M-1H charts with sensitivity 6-8
Swing Trading: 4H-Daily charts with sensitivity 4-6
Market Conditions
Trending Markets: Reduce sensitivity, increase filter strength
Ranging Markets: Increase sensitivity, enable reversal signals
High Volatility: Adjust ATR risk factor to 2.0-2.5
Advanced Features
Customization Options
MA Cloud Periods: 8 customizable periods for cloud layers (default: 2,6,11,18,21,24,28,34)
Color Themes: Three professional color schemes plus transparent option
Dashboard Position: 9 positioning options with 4 size settings
Signal Filtering: Individual toggle controls for each signal type
Technical Specifications
Moving Average Types: 21 different MA calculations including advanced types (Jurik, FRAMA, VIDA, CMA)
Pullback Detection: Parabolic SAR with customizable start, increment, and maximum values
Statistical Analysis: Linear regression slope calculation for trend-based TP analysis
Important Limitations
Lagging Nature: Some signals may appear after potential entry points due to confirmation requirements
Ranging Markets: May produce false signals during extended sideways price action
High Volatility: Requires parameter adjustment during news events or unusual market conditions
Computational Load: Multiple timeframe analysis may impact performance on slower devices
No Guarantee: All signals are suggestions based on technical analysis and may be incorrect
Educational Disclaimers
This indicator is designed for educational and analytical purposes only. It represents a technical analysis tool based on mathematical calculations of historical price data and should not be considered as financial advice or trading recommendations.
Risk Warning: Trading involves substantial risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. The high degree of leverage can work against you as well as for you.
Important Notes:
Always conduct your own analysis before making trading decisions
Use appropriate position sizing and risk management strategies
Never risk more than you can afford to lose
Consider your investment objectives, experience level, and risk tolerance
Seek advice from qualified financial professionals when needed
Performance Disclaimer: Backtesting results do not guarantee future performance. Market conditions change constantly, and what worked in the past may not work in the future. Always paper trade new strategies before risking real capital.
SATHYA SMA SignalThis indicator overlays 20, 50, and 200 Simple Moving Averages (SMAs) on the chart. It generates bullish signals when the 20 SMA crosses above the 200 SMA before the 50 SMA, with both above 200 SMA. Bearish signals occur when the 20 SMA crosses below the 200 SMA before the 50 SMA, with both below 200 SMA. Signals appear as distinct triangles on the chart, helping traders identify trend reversals based on systematic SMA crossovers and order of crossing.
SATHYA SMA Signal)This indicator overlays 20, 50, and 200 Simple Moving Averages (SMAs) on the chart. It generates bullish signals when the 20 SMA crosses above the 200 SMA before the 50 SMA, with both above 200 SMA. Bearish signals occur when the 20 SMA crosses below the 200 SMA before the 50 SMA, with both below 200 SMA. Signals appear as distinct triangles on the chart, helping traders identify trend reversals based on systematic SMA crossovers and order of crossing.