PM + BOS + FVG Indicator & AlertsHey team it's Tanner, I have created Nitros strategy into a custom indicator, it's only the PM BOS FVG model, I will add a HOD/LOD BOS FVG custom indicator eventually, this indicator is setup to give you alerts as well. or if you just want a clean FVG indicator and or PM level indicator this works too. mess with the settings to your liking and DM me on circle or discord if you have feedback or questions, thanks team.
Indicators and strategies
Vertical Lines at Specific NY Timesthese time zones indicates london session and new york session accumulation manipulation and distribution at than spesific time zones
Intraday Spark Chart [AstrideUnicorn]The Intraday Spark Chart (ISC) is a minimalist yet powerful tool designed to track an asset’s performance relative to its daily opening price. Inspired by Nasdaq’s real-time analytics analog dashboards. It visualizes intraday percentage changes as a color-coded sparkline, helping traders quickly gauge momentum and session bias.
Ideal for: Day traders, scalpers, and multi-asset monitors.
Best paired with: 1m to 4H timeframes (auto-warns on higher TFs).
Key metrics:
Real-time % change from daily open.
Final daily % change (updated at session close).
Daily open price labels for orientation.
HOW TO USE
Visual Guide
Sparkline Plot:
A green area/line indicates price is above the daily open (bullish).
A red area/line signals price is below the daily open (bearish).
The baseline (0%) represents the daily open price.
Session Markers:
The dotted vertical lines separate trading days.
Gray labels near the baseline show the exact daily open price at the start of each session.
Dynamic Labels:
The labels in the upper left corner of each session range display the current (or final) daily % change. Color matches the trend (green/red) for instant readability.
Practical Use Cases
Opening Range Breakouts: Spot early momentum by observing how price reacts to the daily open.
Multi-Asset Screening: Compare intraday strength across symbols by applying the indicator to multiple charts.
Session Close Prep: Anticipate daily settlement by tracking the final % change (useful for futures/swing traders).
SETTINGS
Asset (Input Symbol): Defaults to the current chart symbol. Switch to monitor other assets.
NEOs TDI + Sharkfin ScannerTDI + alert scanner for sharkfins use with Fibs and or support resistance for confluence
Price Volume Trend [sgbpulse]1. Introduction: What is Price Volume Trend (PVT)?
The Price Volume Trend (PVT) indicator is a powerful technical analysis tool designed to measure buying and selling pressure in the market based on price changes relative to trading volume. Unlike other indicators that focus solely on volume or price, PVT combines both components to provide a more comprehensive picture of trend strength.
How is it Calculated?
The PVT is calculated by adding or subtracting a proportional part of the daily volume from a cumulative total.
When the closing price rises, a proportional part of the daily volume (based on the percentage price change) is added to the previous PVT value.
When the closing price falls, a proportional part of the daily volume is subtracted from the previous PVT value.
If there is no change in price, the PVT value remains unchanged.
The result of this calculation is a cumulative line that rises when buying pressure is strong and falls when selling pressure dominates.
2. Why PVT? Comparison to Similar Indicators
While other indicators measure volume-price pressure, PVT offers a unique advantage:
PVT vs. On-Balance Volume (OBV):
OBV simply adds or subtracts the entire day's volume based on the closing direction (up/down), regardless of the magnitude of the price change. This means a 0.1% price change is treated the same as a 10% change.
PVT, on the other hand, gives proportional weight to volume based on the percentage price change. A trading day with a large price increase and high volume will impact the PVT significantly more than a small price increase with the same volume. This makes PVT more sensitive to trend strength and changes within it.
PVT vs. Accumulation/Distribution Line (A/D Line):
The A/D Line focuses on the relationship between the closing price and the bar's trading range (Close Location Value) and multiplies it by volume. It indicates whether the pressure is buying or selling within a single bar.
PVT focuses on the change between closing prices of consecutive bars, multiplying this by volume. It better reflects the flow of money into or out of an asset over time.
By combining volume with percentage price change, PVT provides deeper insights into trend confirmation, identifying divergences between price and volume, and spotting signs of weakness or strength in the current trend.
3. Indicator Settings (Inputs)
The "Price Volume Trend " indicator offers great flexibility for customization to your specific needs through the following settings:
Moving Average Type: Allows you to select the type of moving average used for the central line on the PVT. Your choice here will affect the line's responsiveness to PVT movements.
- "None" : No moving average will be displayed on the PVT.
- "SMA" (Simple Moving Average): A simple average, smoother, ideal for identifying longer-term trends in PVT.
- "SMA + Bollinger Bands": This unique option not only displays a Simple Moving Average but also activates the Bollinger Bands around the PVT. This is the recommended option for analyzing volatility and ranges using Bollinger Bands.
- "EMA" (Exponential Moving Average): An exponential average, giving more weight to recent data, responding faster to changes in PVT.
- "SMMA (RMA)" (Smoothed Moving Average): A smoothed average, providing extra smoothing, less sensitive to noise.
- "WMA" (Weighted Moving Average): A weighted average, giving progressively more weight to recent data, responding very quickly to changes in PVT.
Moving Average Length: Defines the number of bars used to calculate the moving average (and, if applicable, the standard deviation for the Bollinger Bands). A lower value will make the line more responsive, while a higher value will smooth it out.
PVT BB StdDev (Bollinger Bands Standard Deviation): Determines the width of the Bollinger Bands. A higher value will result in wider bands, making it less likely for the PVT to cross them. The standard value is 2.0.
4. Visual Aid: Current PVT Level Line
This indicator includes a unique and highly useful visual feature: a dynamic horizontal line displayed on the PVT graph.
Purpose: This line marks the exact level of the PVT on the most recent trading bar. It extends across the entire chart, allowing for a quick and intuitive comparison of the current level to past levels.
Why is it Important?
- Identifying Divergences: Often, an asset's price may be lower or higher than past levels, but the PVT level might be different. This auxiliary line makes it easy to spot situations where PVT is at a higher level when the price is lower, or vice-versa, which can signal potential trend changes (e.g., higher PVT than in the past while price is low could indicate strong accumulation).
- Quick Direction Indication: The line's color changes dynamically: it will be green if the PVT value on the last bar has increased (or remained the same) relative to the previous bar (indicating positive buying pressure), and red if the PVT value has decreased relative to the previous bar (indicating selling pressure). This provides an immediate visual cue about the direction of the cumulative momentum.
5. Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
10/20 MA Coil: Progressive Colors & Multi-Day BreakoutThis indicator detects price “coil” setups and highlights potential breakout or breakdown opportunities using moving average alignment and volatility compression.
Features:
• Coil Detection:
• Identifies consolidation when:
• The 10 and 20 MAs are tightly aligned (within user-defined tolerance)
• Price is above both MAs and within 1.5x ADR of them
• The 50 MA is rising
• Progressive Coil Coloring:
• Coil candles are colored in progressively darker orange as the streak continues
• Bullish Breakout Signal:
• Triggers when a green candle follows a coiled bar
• The candle’s body must be greater than or equal to 1 ATR
• Colored lime green
• Bearish Breakdown Signal:
• Triggers when a red candle follows a coiled bar
• The candle’s body must be greater than or equal to 1 ATR to the downside
• Colored black
• Custom Candle Rendering:
• Candle body color represents coil or breakout state
• Wick and border are red or green to reflect price direction
• Optional Debug Tools:
• Coil streak, ATR, and distance from MAs can be plotted for deeper analysis
This script is designed for traders looking to spot price compression and prepare for high-probability moves following low-volatility setups.
TRIX Strong Hand - DidiTrix (or TRIX) is a technical analysis oscillator developed in the 1980s by Jack Hutson, editor of Technical Analysis of Stocks and Commodities magazine. It shows the slope (i.e., the derivative) of a triple-smoothed exponential moving average. The name Trix comes from "triple exponential."
The TRIX is a triple-smoothed exponential moving average used in technical analysis to track trends.
This is a customized version for use in conjunction with other indicators in the Didi Aguiar's CST Method. It has a standard setting of 9 periods and a 4-period average to signal crossovers. It is used as one of the indicators to detect trade exits, nicknamed "Strong Hand" and described as having "three coconuts between the legs" due to its strong confidence that the trade can continue in the trend.
XRP Trend & Signal Strategy V2This is a simple yet effective script that plots the closing price of the selected asset directly on the chart. Useful for visualizing raw price action without additional indicators, this script serves as a clean base for further customization and strategy development.
DA Cloud - DynamicDA Cloud - Dynamic | Detailed Overview
🌟 What Makes This Indicator Special
The DA Cloud - Dynamic is an advanced technical analysis tool that creates adaptive support and resistance zones that expand and contract based on market volatility. Unlike traditional static indicators, this cloud system "breathes" with the market, providing dynamic levels that adjust to changing market conditions.
📊 Core Components
1. Multi-Layered Cloud Structure
Resistance Cloud (Red): Three dynamic resistance levels (RL1, RL2, RL3) with intermediate channels (RC1, RC2)
Support Cloud (Green): Three dynamic support levels (SL1, SL2, SL3) with intermediate channels (SC1, SC2)
Trend Cloud (Blue): Five trend lines (TU2, TU1, TM, TL1, TL2) that flow through the center
Confirmation Line (Purple): A fast-reacting line that confirms trend changes
2. Forward Displacement Technology
The entire cloud system is projected 21 bars into the future (Fibonacci number), allowing traders to see potential support and resistance levels before price reaches them. This predictive element is inspired by Ichimoku Cloud theory but enhanced with modern volatility dynamics.
🔬 How It Works (Without Revealing the Secret Sauce)
Volatility-Responsive Design
The indicator continuously measures market volatility across multiple timeframes
During high volatility periods (like major breakouts), clouds expand dramatically
During consolidation, clouds contract and tighten around price
This creates a "breathing" effect that adapts to market conditions
Multi-Timeframe Analysis
Incorporates Fibonacci sequence periods (3, 13, 21, 34, 55) for calculations
Blends short-term responsiveness with long-term stability
Creates smooth, flowing lines that filter out market noise
Dynamic Level Calculation
Levels are not fixed percentages or static bands
Each level adapts based on current market structure and volatility
Channel lines (RC1, RC2, SC1, SC2) provide intermediate support/resistance
🎯 Key Features
1. Touch Point Detection
Colored dots appear when price touches key levels
Red dots = resistance touch
Green dots = support touch
Blue dots = trend median touch
2. Entry/Exit Signals
"Cloud Entry" labels when confirmation line crosses above SL1
"Cloud Exit" labels when confirmation line crosses below RL1
Background color changes based on bullish/bearish bias
3. Information Table
Real-time display of key levels (RL1, TM, SL1)
Current bias indicator (BULLISH/BEARISH)
Updates dynamically as market moves
⚙️ Customization Options
Main Controls:
Sensitivity (5-50): How responsive clouds are to price movements
Smoothing (1-50): Controls the flow and smoothness of cloud lines
Forward Displacement (0-50): How many bars to project the cloud forward
Advanced Volatility Settings:
Volatility Lookback (50-1000): Period for establishing volatility baseline
Volatility Smoothing (1-50): Reduces spikes in volatility expansion
Expansion Power (0.1-2.0): Controls how dramatically clouds expand
Range Divisor (1.0-20.0): Master control for overall cloud width
Level Spacing:
Individual multipliers for each resistance and support level
Allows fine-tuning of cloud structure to match different markets
Trend Spacing:
Separate controls for inner and outer trend bands
Customize the trend cloud density
📈 Trading Applications
1. Trend Identification
Price above TM (Trend Median) = Bullish bias
Price below TM = Bearish bias
Cloud color and width indicate trend strength
2. Support/Resistance Trading
Use RL1/SL1 as primary targets and reversal zones
RC1/RC2 and SC1/SC2 provide intermediate levels
RL3/SL3 mark extreme levels often seen at major tops/bottoms
3. Volatility Analysis
Expanding clouds signal increasing volatility and potential big moves
Contracting clouds indicate consolidation and potential breakout setup
Cloud width helps with position sizing and risk management
4. Multi-Timeframe Confirmation
Works on all timeframes from 1-minute to monthly
Higher timeframes show major market structure
Lower timeframes provide precise entry/exit points
🎓 Best Practices
Combine with Volume: High volume at cloud levels increases reliability
Watch for Touch Clusters: Multiple touches at a level indicate strength
Monitor Cloud Expansion: Sudden expansion often precedes major moves
Use Multiple Timeframes: Confirm signals across different time periods
Respect the Trend Median: This is often the most important level
⚡ Performance Notes
Optimized for up to 2000 bars of historical data
Smooth performance with 500+ lines and labels
Works on all markets: Crypto, Forex, Stocks, Commodities
📝 Version Info
Current Version: 1.0
Dynamic volatility expansion system
Full customization suite
Touch point detection
Entry/exit signals
Forward displacement projection
Relative Strength RSI with LevelsThis is a relative Strength Indicator used for comparing the performance of the Stock analyzed with the SPX, with a single line moving above or below a midline signaling over- or underperformance when compared to S&P500 SPX Index
HTF/LTF Boxes v2.2HTF/LTF boxes with GANN levels
added second LTF
Script is identifying hourly boxes and breakouts in respective quarters.
Two lower time frames are available, also gann levels of previous hour's range is available.
Heikin Ashi Trend Strategy (Beginner)FOR BEGINNERS
Perfect! Below is a custom Pine Script for TradingView that:
Uses Heikin Ashi candles
Shows buy/sell signals based on trend conditions:
3+ green/red Heikin Ashi candles
Price above/below 20 EMA
RSI filter for momentum
Sessions HH/LLSessions HH and LL everything marked with lines, sessions start and finish, compatible with every timeframe and you can hide whole sessions or just little parts of them.
PineVersatilitiesBundleEnhanced the dynamic_MA function by adding five more MA types to the eight existing types.
Added neo_heikin_ashi_ohlc function for Customised or Standard Heikin-Ashi OHLC values tuple.
Library "PineVersatilitiesBundle"
Versatilities (aka, Versatile Utilities) Pack includes:
- Price Variants bundled in a Map,
- Smoothing Variants bundled in a Map,
- Standard and customised Heikin-Ashi values in a tuple,
- Visualisations that plot some indications in the pane and others, including candles/bars, on the chart.
price_variants(lb, hop, op, cl, fmean, hi, lo, mid, pvt, cmean)
Computes Several different averages using current and previous OHLC values
Parameters:
lb (int) : lookback distance for combining OHLC values from the past; optional input, default is 1
hop (int) : skip bars while looking back; optional input, default is 0
op (float) : open value; optional input, default is open
cl (float) : close value; optional input, default is close
fmean (float) : bar average; optional input, default is ohlc4
hi (float) : high value; optional input, default is high
lo (float) : low value; optional input, default is low
mid (float) : range middle; optional input, default is hl2
pvt (float) : active pivot; optional input, default is hlc3
cmean (float) : active average; optional input, default is hlcc4
Returns: Map of, rounded-to-mintick, combinations of single and two-bar OHLC averages
dynamic_MA(masrc, malen, almasgm, almaoff, almaflr, lsmaoff, volfctr)
Dynamically computes Eight different MAs and returns a Map containing Nine MAs
Parameters:
masrc (float) : source series to compute MA
malen (simple int) : lookback distance for MA
almasgm (simple float) : ALMA sigma; optional input, default is 5
almaoff (simple float) : ALMA offset; optional input, default is 0.5
almaflr (simple bool) : ALMA floor flag; optional input, default is false
lsmaoff (simple int) : LSMA offset; optional input, default is 0
volfctr (simple float) : T3/Tilson MA volume factor; optional input, default is 0.5
Returns: Map of, rounded-to-mintick, MAs - 'ALMA', 'DEMA', 'EMA', 'FRAMA', 'HMA', 'LSMA', 'RMA',
'SMA', 'SWMA', 'T3MA', 'TEMA', 'TRIMA', 'WMA', plus an 'ALL' for the average of all other MAs
neo_heikin_ashi_ohlc(customised, standard, op, cl, avbar, hi, lo, avrng, pivot, pvtcl)
Computes customised or standard Heikin Ashi candles/bars OHLC values
Parameters:
customised (bool) : toggle for computing customised Heikin Ashi OHLC; optional input, default is true; ignores standard setting
standard (bool) : toggle for computing standard Heikin Ashi OHLC; optional input, default is false
op (float) : open value; optional input, default is open
cl (float) : close value; optional input, default is close
avbar (float) : bar average; optional input, default is ohlc4
hi (float) : high value; optional input, default is high
lo (float) : low value; optional input, default is low
avrng (float) : range middle; optional input, default is hl2
pivot (float) : active pivot; optional input, default is hlc3
pvtcl (float) : active average; optional input, default is hlcc4
Returns: Tuple of, rounded-to-mintick, Customised or Standard Heikin-Ashi OHLC and its common averages
Momentum & stoch rsimomentum and stochastic rsi indicator ideal for day trading. momenum is set to 80 for a smooth and safe analysis.
ATR Trailing Stop with ATR Targets [v6]What the Indicator Does
This custom TradingView indicator is designed for active traders who want to automate and visualize their trailing stop management and target setting, using true market volatility. It combines the Average True Range (ATR) with dynamic market structure logic to:
Trail a stop-loss behind major swings in real time, using 2×ATR (adjustable) from the highest high in uptrends or the lowest low in downtrends.
Flip trading bias between bullish and bearish when the stop is breached.
Identify and plot three profit targets (at 1, 2, and 3 ATR from the breakout/flip point) after every stop-flip, helping traders scale out or set take-profits objectively.
Maintain a visible presence on your chart every bar to avoid indicator errors, with color and labeling for clear distinction between long/short phases.
How the Indicator Works
1. ATR Calculation
ATR Period and Multiplier: You select your preferred ATR length (default is 14 bars) and a multiplier (default is 2.0).
Volatility Adjustment: ATR measures the average "true" bar range, so the trailing stop and targets adapt to current volatility.
2. Trailing Stop Logic
Uptrend (bullish bias): The indicator tracks the highest high made since the last bearish-to-bullish flip and sets the stop at - .
The stop only raises (never lowers) during an uptrend, protecting gains in strong moves.
Downtrend (bearish bias): Tracks the lowest low made since the last bullish-to-bearish flip, with stop at + .
The stop only lowers (never raises) in a downtrend.
Flip Point: If price closes through the trailing stop, the current bias “flips,” and the logic reverses (bullish to bearish or vice versa). At the new close, flip price and bar index are stored for target calculation.
3. ATR Targets after Flip
After each stop flip:
Three targets—based on the new close price—are calculated and plotted:
Long flip (new bull bias): Target1 = close + 1×ATR, Target2 = close + 2×ATR, Target3 = close + 3×ATR.
Short flip (new bear bias): Target1 = close - 1×ATR, Target2 = close - 2×ATR, Target3 = close - 3×ATR.
These targets help with scaling out, partial profit-taking, or setting automated orders.
4. Visual Feedback
Trailing stop line: Green for long bias, red for short bias.
Targets: Distinct color-coded circles at 1, 2, 3 ATR levels from the most recent flip.
Flip Labels: Mark the bar and price where bias flipped (“Long Flip” or “Short Flip”) for quick pattern recognition.
Subtle background shading: Ensures TradingView's requirement for “indicator output every bar.”
How to Use This Indicator
Parameter Setup
ATR Period and Multiplier: Adjust to match the timeframe and volatility of your instrument.
Lower periods/multipliers for short-term/volatile trading.
Higher values for smoother signals or higher timeframes.
Starting Trend: Set to match the expected initial bias if the instrument has strong trend characteristics.
Trading Application
1. Daily Bias Approach
Establish your bias in line with your trading plan (e.g., only trade long if price is above the previous day's high, short below the previous day's low).
Only look for trades in the indicator's current bias direction, as expressed by the stop and background color.
2. Entry
Use the indicator as a real-time confirmation or trailing stop for your entries.
Breakout: Enter when price establishes the current bias, using the trailing stop as your risk level.
Reversal: Wait for a bias flip after an extended move; enter in the direction of the new bias.
VWAP Rebound: Combine with a VWAP bounce—enter only if the indicator bias supports your direction.
3. Exits/Targets
Trailing stop management: Move your stop according to the plotted line; exit if your stop is hit.
Profit-taking: Scale out or take profits as price approaches each ATR-based target.
Use the dynamic labeling to identify reversal flips and reset your plan if stopped or the bias changes.
4. Market Context
Filter and frame setups by watching correlated indicators (DXY, VIX, AUDJPY, put/call ratio) and upcoming news; trade only in the daily bias direction for best consistency.
5. Practical Tips
Combine this indicator with your custom watchlist and alert settings to get notified on flips or targets.
Review the last label ("Long Flip"/"Short Flip") and targets to plan partial exits.
Remember: ATR adapts to volatility, so the stop and targets stay proportionate even when price action shifts.
Session Backgrounds (Asia, London, US) - Weekdays Onlythis is to mark asia, london, us session so we can easily see what is current session while trading
Support & Resistance ZonesAuto Support And Resistance Lines, This AI auto support and ressitance lines helps identify support and resitance
kinetic test123mattThe Nuclear Regulatory Commission (NRC) is not the kind of agency most Americans think about often.
In fact, there’s a decent chance you’ve never even heard of it outside of a few advanced social studies classes in high school or college.
The NRC was originally established back in 1975 as a successor to the United States Atomic Energy Commission. Then, just a few years later, in 1979, there was a partial meltdown in the Unit 2 reactor at the Three Mile Island Nuclear Generating Station.
That disaster was mercifully averted, but the event left a lasting impact on the still-developing agency…
Following Three Mile Island, the NRC was widely perceived as risk-averse. They developed a licensing process that could be counted among the most bureaucratic and byzantine in history.
Just securing the NRC’s approval for a new nuclear reactor could take years (in some cases over a decade) and cost hundreds of millions of dollars. And that’s before you even start breaking ground!
Bringing Georgia’s 3 and 4 reactor units at Plant Vogtle online was estimated to cost $14 billion at first. However, due to various delays in the approval process and subsequent contracting issues, costs ballooned to more than $30 billion, with a wait of 15 years.
Sounds like a nightmare, right?
Don’t worry — it gets worse!
So far, we’ve only been talking about large light-water reactors (LWRs). Perish the thought, but those are the kinds of reactors the NRC is actually optimized to work with.
Newer technologies, such as small modular reactors (SMRs) or molten salt reactors (MSRs), are evaluated on a case-by-case basis. And it just so happens that the NRC has neither the manpower nor the realistic expertise to evaluate these developments comprehensively.
That means even for the companies that can develop next-generation nuclear technology, they’re going to face a huge production bottleneck when it comes to the NRC approving the projects.
Hybrid Strategy with Position Control & Breakout Filter//@version=6
indicator('Hybrid Strategy with Position Control & Breakout Filter', overlay=true)
// === INPUTS ===
emaFastLen = input.int(8, 'Fast EMA')
emaSlowLen = input.int(21, 'Slow EMA')
rsiLen = input.int(14, 'RSI Length')
rsiOverbought = input.int(70, 'RSI Overbought')
rsiOversold = input.int(30, 'RSI Oversold')
macdFast = input.int(12, 'MACD Fast')
macdSlow = input.int(26, 'MACD Slow')
macdSignal = input.int(9, 'MACD Signal')
volatilityMultiplier = input.float(1.0, 'ATR Multiplier for Volatility Filter')
// === CALCULATIONS ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
rsi = ta.rsi(close, rsiLen)
= ta.macd(close, macdFast, macdSlow, macdSignal)
atr = ta.atr(14)
// === VOLATILITY FILTER ===
volatilityThreshold = ta.sma(atr, 14) * volatilityMultiplier
isVolatile = atr > volatilityThreshold
// === OPENING SPIKE LOGIC (first 15 mins of session only) ===
sessionStart = timestamp("America/New_York", year, month, dayofmonth, 9, 30)
first15Min = time >= sessionStart and time < sessionStart + 15 * 60 * 1000
openingBreakout = first15Min and close > open and ta.change(close) > atr * 1.5
// === POSITION TRACKING ===
var int position = 0 // 0 = no position, 1 = long, -1 = short
// === ENTRY CONDITIONS ===
longCondition = ((ta.crossover(emaFast, emaSlow) and rsi < rsiOverbought and macdLine > signalLine and isVolatile) or openingBreakout) and position != 1
shortCondition = ta.crossunder(emaFast, emaSlow) and rsi > rsiOversold and macdLine < signalLine and isVolatile and position != -1
// === EXIT CONDITIONS ===
exitLong = ta.crossunder(emaFast, emaSlow)
exitShort = ta.crossover(emaFast, emaSlow)
// === SIGNAL PLOTS ===
buySignal = longCondition
sellSignal = shortCondition
plotshape(buySignal, title='Buy Signal', location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text='BUY')
plotshape(sellSignal, title='Sell Signal', location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text='SELL')
// === STATE MANAGEMENT ===
if (longCondition)
position := 1
if (shortCondition)
position := -1
if (exitLong and position == 1)
position := 0
if (exitShort and position == -1)
position := 0
// === PLOT EMAs ===
plot(emaFast, color=color.orange, title='Fast EMA')
plot(emaSlow, color=color.blue, title='Slow EMA')
Hybrid Strategy with Position Control//@version=6
indicator('Hybrid Strategy with Position Control', overlay=true)
// === INPUTS ===
emaFastLen = input.int(8, 'Fast EMA')
emaSlowLen = input.int(21, 'Slow EMA')
rsiLen = input.int(14, 'RSI Length')
rsiOverbought = input.int(70, 'RSI Overbought')
rsiOversold = input.int(30, 'RSI Oversold')
macdFast = input.int(12, 'MACD Fast')
macdSlow = input.int(26, 'MACD Slow')
macdSignal = input.int(9, 'MACD Signal')
// === CALCULATIONS ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
rsi = ta.rsi(close, rsiLen)
= ta.macd(close, macdFast, macdSlow, macdSignal)
// === POSITION TRACKING ===
var int position = 0 // 0 = no position, 1 = long, -1 = short
// === ENTRY CONDITIONS ===
longCondition = ta.crossover(emaFast, emaSlow) and rsi < rsiOverbought and macdLine > signalLine and position != 1
shortCondition = ta.crossunder(emaFast, emaSlow) and rsi > rsiOversold and macdLine < signalLine and position != -1
// === EXIT CONDITIONS (Optional logic for reset) ===
exitLong = ta.crossunder(emaFast, emaSlow)
exitShort = ta.crossover(emaFast, emaSlow)
// === SIGNAL PLOTS ===
buySignal = longCondition
sellSignal = shortCondition
plotshape(buySignal, title='Buy Signal', location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text='BUY')
plotshape(sellSignal, title='Sell Signal', location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text='SELL')
// === STATE MANAGEMENT ===
if (longCondition)
position := 1
if (shortCondition)
position := -1
// Reset position if trend reverses
if (exitLong and position == 1)
position := 0
if (exitShort and position == -1)
position := 0
// === PLOT EMAs ===
plot(emaFast, color=color.orange, title='Fast EMA')
plot(emaSlow, color=color.blue, title='Slow EMA')