Master Bitcoin & Litecoin Stock To Flow (S2F) ModelMaster Bitcoin & Litecoin Stock-to-Flow (S2F) Model
This indicator visualizes the Stock-to-Flow (S2F) models for Bitcoin (BTC) and Litecoin (LTC) based on Plan B's methodology. It calculates S2F and projects price models for both assets, incorporating daily changes in circulating supply. The script is designed exclusively for daily timeframes.
Features:
LTC & BTC S2F Models:
Calculates Stock-to-Flow values for both assets using daily new supply and circulating supply data.
Models S2F values with a customizable multiplier for precise adjustments.
500-Day Moving Average Models:
Smoothens the S2F model by applying a 500-day (18-month) moving average, providing a long-term trend perspective.
Customizable Inputs:
Adjust LTC and BTC multipliers to fine-tune the models.
Alert for Timeframe:
Alerts users to switch to the daily timeframe if another period is selected.
Plots:
LTC S2F Model: Blue line representing Litecoin’s calculated S2F-based price model.
BTC S2F Model: Orange line representing Bitcoin’s calculated S2F-based price model.
500-Day Avg Models: Smoothened S2F models for both LTC and BTC.
Notes:
Requires daily timeframe (1D) for accurate calculations.
Supply data is sourced from GLASSNODE:LTC_SUPPLY and GLASSNODE:BTC_SUPPLY.
Disclaimer:
This model is derived from Plan B's S2F methodology and is intended for educational and entertainment purposes only. It does not reflect official predictions or financial advice. Always conduct your own research before making investment decisions.
Cycles
Smart Money Breakouts [iskess 01-02 11:05]This is an big update to the excellent Smart Money Breakout Script published in Oct 2023 by ChartPrime who, to my knowledge, was the original author.
FULL CREDIT GOES TO CHARTPRIME FOR THIS ORIGINAL WORK.
Per the moderator's rules, you will find below a meaningful, detailed self-contained description that does not rely on delegation to the open source code or links to other content. You will find in the description details on what the script does, how it does that, how to use it, and how it is original.
The "Smart Money Breakouts" indicator is designed to identify breakouts based on changes in character (CHOCH) or breaks of structure (BOS) patterns, facilitating automated trading with user-defined Take Profit (TP) level.
The indicator incorporates essential elements such as volume analysis and a data table to assist traders in optimizing their strategies.
🔸Breakout Detection:
The indicator scans price movements for "Change in Character" (CHOCH) and "Break of Structure" (BOS) patterns, signaling potential breakout opportunities in the market.
🔸User-Defined TP/SL :
Traders can customize the Take Profit (TP) and Stop Loss (SL) through the indicator settings, with these levels dynamically calculated based on the Average True Range (ATR). This allows for precise risk management and profit targets that adapt to market volatility. Traders can also select the lookback period for the TP/SL calculations.
🔸Volume Analysis and Trade Direction Specific Analysis:
The indicator includes a volume checker that provides valuable insights into the strength of the breakout, taking into account trade direction.
🔸If the volume label is red and the trade is long, it suggests a higher likelihood of hitting the Stop Loss (SL).
🔸If the volume label is green and the trade is long, it indicates a higher probability of hitting the Take Profit (TP).
🔸For short trades, a red volume label suggests a higher likelihood of hitting TP, while a green label suggests a higher likelihood of hitting SL.
🔸A yellow volume label suggests that the volume is inconclusive, neither favoring bullish nor bearish movements.
🔸Data Table:
The indicator features a data table that keeps track of the number of winning and losing trades for specific timeframes or configurations. It also shows the percentage of profits vs losses, and the overall profit/loss for the selected lookback period.
This table serves as a valuable tool for traders to analyze performance and discover optimal settings and timeframes.
The "Smart Money Breakouts" indicator provides traders with a comprehensive solution for breakout trading, combining technical analysis of changes in character and breaks of structure, volume insights, and performance tracking while dynamically adjusting TP and SL levels based on market volatility through the ATR.
This version of the script is a "significant improvement" from Chart Prime's original work in the following ways:
- A selectable range of candles for the profit/loss calculations to look back on.
- An updated table that includes the percentage of wins/losses, and and overall P&L during the selected lookback range.
- The user can now select only Long trades, Short trades, or both.
- The percentage gain/loss is now indicated for every trade on the chart.
- The user can now select a different multiplier for Stop Loss or Take Profit thresholds.
Average Candle RangeThis indicator calculates and displays the average trading range of candles over a specified period, helping traders identify volatility patterns and potential trading opportunities.
Features:
- Customizable lookback period (1-500 bars)
- Clean visual display in a top-right table overlay
- High-precision calculation showing 10 decimal places
- Real-time updates with each new bar
How it Works:
The indicator calculates the range of each candle (High - Low) and then computes the Simple Moving Average (SMA) of these ranges over your specified lookback period. The result is displayed in an easy-to-read table overlay.
Use Cases:
- Volatility Analysis: Monitor market volatility trends
- Position Sizing: Help determine position sizes based on average price movements
- Trading Strategy Development: Use as a reference for setting stop losses and take profits
- Market Phase Identification: Help identify high vs low volatility market phases
Settings:
- Lookback Period: Default is 140 bars, adjustable from 1 to 500
Note:
The indicator displays values with 10 decimal places for high-precision analysis, particularly useful in markets with small price movements.
Landry Light Pine ScannerLandry Light Pine Scanner
The Landry Light Pine Scanner is a comprehensive technical analysis tool designed to identify stocks showing strong upward trends based on the Landry Light methodology. It scans for stocks where:
Today's low and yesterday's low are above the 30 EMA.
The low from two days ago is below the 30 EMA.
SMA 50 is above SMA 150, and SMA 150 is above SMA 200 (a strong bullish SMA hierarchy).
Features:
Trend Detection: Automatically highlights stocks with strong bullish trends based on EMA and SMA alignment.
Customizable Inputs: Users can adjust EMA and SMA lengths to fit their trading style.
Visual Clarity: Plots the 30 EMA, SMA 50, SMA 150, and SMA 200 directly on the chart for easy analysis.
Alert Ready: Integrated with TradingView's alert system to notify users when the conditions are met.
Chart Highlights: Automatically highlights bars that meet the conditions with a subtle green background.
Use Case:
This indicator is ideal for swing traders and position traders looking for potential breakout opportunities. By filtering stocks with a bullish structure, traders can focus on high-probability setups.
Conditions Used:
30 EMA Conditions:
Today's low is above the 30 EMA.
Yesterday's low is above the 30 EMA.
The low from two days ago is below the 30 EMA.
SMA Hierarchy:
SMA 50 is above SMA 150.
SMA 150 is above SMA 200.
Customization Options:
30 EMA Length: Adjustable to match user preferences.
SMA Lengths: SMA 50, SMA 150, and SMA 200 lengths are customizable for flexibility.
Alerts:
Users can set alerts for when the defined conditions are met, making it easy to monitor multiple stocks.
How to Use:
Apply the Indicator:
Add the indicator to your TradingView chart.
Set Alerts:
Use the built-in alert condition for automated notifications.
Analyze Trends:
Look for green-highlighted bars indicating stocks meeting the criteria.
Screen Stocks:
Use this tool as part of your screener to filter stocks efficiently.
Note:
This indicator does not provide buy or sell signals. Always combine it with other technical and fundamental analysis for informed trading decisions.
Publishing Tags:
Landry Light, EMA, SMA, Trend Analysis, Swing Trading, Position Trading, Technical Analysis, Breakout Scanner, TradingView, Pine Script
Session Averages: Open, High, LowThis indicator allows for the user to specify an intraday time based range and calculate the average open price, average high price, and average low price for that session. The indicator plots the 5 most recent sessions on the chart, which allows for the user to identify fair value, Power of 3 movements, trends, and consolidations.
If bullish the user can identify when price is below the average open or low price of a range, and if bearish can identify when price is above the open or high of a range.
Economic RegimeThis indicator, "Economic Regime" , provides a comprehensive analysis of market conditions by combining multiple asset classes and financial metrics. It uses normalized scores and trend analysis to classify the current economic regime into one of four categories: Goldilocks, Reflation, Inflation, or Deflation. The classification is based on inputs like S&P 500 performance, bond yields, commodity prices, volatility indices, and sector ETFs. Additionally, it plots key financial spreads, including the yield spread (10Y-2Y) and credit spread (HYG-LQD), to offer deeper insights into liquidity and market sentiment. The background color dynamically reflects the identified economic regime, facilitating quick visual interpretation.
ZelosKapital Weekly/Monthly HLThe ZelosKapital Weekly/Monthly high low indicator is designed to display the weekly and monthly high and low levels directly on the price chart. It helps traders easily identify key support and resistance zones by marking the highest and lowest points of the current week and month. The indicator automatically updates these levels as the price moves, providing a clear visual reference for intraday trading strategies.
Ideal for both Day Trading and Swing Trading, this tool offers valuable insights into potential reversal points, breakout areas, and zones of consolidation. By monitoring these significant price levels, traders can make more informed decisions, timing their entries and exits with greater precision. Whether you're looking for short-term price action or longer-term trends, the weekly and monthly highs and lows serve as critical levels to guide your trades.
EMA SHIFT & PARALLEL [n_dot]BINANCE:ETHUSDT.P
This strategy was developed for CRYPTO FUTURES, (the settings for ETHUSDT.P) . I aimed for the strategy to function in a live environment, so I focused on making its operation realistic:
When determining the position, only 80% (adjustable) of the available cash is invested to reduce the risk of position liquidation.
I account for a 0.05% commission, typical on the futures market, for each entry and exit.
Concept:
I modified a simple, well-known method: the crossover of two exponential moving averages (FAST, SLOW) generates the entry and exit signals.
I enhanced the base idea as follows:
For the fast EMA, I incorporated a multiplier (offset) to filter out market noise and focus only on strong signals.
I use different EMAs for long and short entry points; both have their own FAST and SLOW EMAs and their own offset. For longs, the FAST EMA is adjusted downward (<1), while for shorts, it is adjusted upward (>1). Consequently, the signal is generated when the modified FAST EMA crosses the SLOW EMA.
Risk Management:
The position includes the following components:
Separate stop-losses for long and short positions.
Separate trailers for long and short positions.
The strategy operates so that the entry point is determined by the EMA crossover, while the exit is governed only by the Stop Loss or Trailer. Optionally, it can be set to close the position at the EMA recrossing ("Close at Signal").
Trailer Operation:
An entry percentage and offset are defined. The trailer activates when the price surpasses the entry price, calculated automatically by the system.
The trailer closes the position when the price drops by the offset percentage from the highest reached price.
Example for trailer:
Purchase Price = 100
Trailer Enter = 5% → Activation Price = 105 (triggers trailer if market price crosses it).
Trailer Offset = 2%
If the price rises to 110, the exit price becomes 107.8.
If the price goes to 120, the exit price becomes 117.6.
If the price falls below 117.6, the trailer closes the position.
Settings:
Source: Determines the market price reference.
End Close: Closes positions at the end of the simulation to avoid "shadow positions" and provide an objective result.
Lot proportional to free cash (%): Only a portion of free cash is invested to meet margin requirements.
Plot Short, Plot Long: Simplifies displayed information by toggling indicator lines on/off.
Long Position (toggleable):
EMA Fast ws: Window size for FAST EMA.
EMA Slow ws: Window size for SLOW EMA.
EMA Fast down shift: Adjustment factor for FAST EMA.
Stop Loss long (%): Percent drop to close the position.
Trailer enter (%): Percent above the purchase price to activate the trailer.
Trailer offset (%): Percent drop to close the position.
Short Position (toggleable):
EMA Fast ws: Window size for FAST EMA.
EMA Slow ws: Window size for SLOW EMA.
EMA Fast up shift: Adjustment factor for FAST EMA.
Stop Loss short (%): Percent rise to close the position.
Trailer enter (%): Percent below the purchase price to activate the trailer.
Trailer offset (%): Percent rise to close the position.
Operational Framework:
If in a long position and a short EMA crossover occurs, the strategy closes the long and opens a short (flip).
If in a short position and a long EMA crossover occurs, the strategy closes the short and opens a long (flip).
A position can close in three ways:
Stop Loss
Trailer
Signal Recrossing
If none are active, the position remains open until the end of the simulation.
Observations:
Shifts significantly deviating from 1 increase overfitting risk. Recommended ranges: 0.96–0.99 (long) and 1.01–1.05 (short).
The strategy's advantage lies in risk management, crucial in leveraged futures markets. It operates with relatively low DrawDown.
Recommendations:
Bullish Market: Higher entry threshold (e.g., 6%) and larger offset (e.g., 3%).
Volatile/Sideways Market: Tighter parameters (e.g., 3%, 1%).
The method is stable, and minor parameter adjustments do not significantly impact results, helping assess overfitting: if small changes lead to drastic differences, the strategy is over-optimized.
EMA Settings: Adjust FAST and SLOW EMAs based on the asset's volatility and cyclicality.
On the crypto market, especially in the Futures market, short time periods (1–15 minutes) often show significant noise, making patterns/repetitions hard to identify. I recommend setting the interval to at least 1 hour.
I hope this contributes to your success!
Savas Cum Inverse Fisher Transform on RSI and CCIAl ve sat sinyallerini belli oranda paylaşan ve trendi takip etmenize imkan sunan bir Pine Editör seknesidir
ZelosKapital Market BehaviourThe ZelosKapital Market Behaviour Indicator is a powerful tool designed to visually highlight market structure periods directly on your trading chart. This indicator identifies and labels the four key price action phases: Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL). Understanding these phases is critical for traders aiming to follow the trend or anticipate potential reversals.
MVRV Z-Score (Topos e Fundos)No MVRV Z-Score, a linha roxa (que representa o valor do indicador) atingir ou ultrapassar a faixa vermelha geralmente indica que o ativo está em uma zona de sobrevalorização. Isso significa que o mercado pode estar próximo de um topo, e historicamente, esses momentos tendem a ser seguidos por correções de preço.
O que acontece quando a linha roxa atinge a faixa vermelha?
Zona Vermelha (Topo):
Quando a linha roxa entra na faixa vermelha, o ativo está sendo negociado muito acima do seu valor realizado (Realized Value).
Isso sugere que muitos investidores estão com lucros não realizados significativos, o que pode levar a vendas em massa e, consequentemente, a uma correção de preço.
Sinal para traders e investidores:
Para traders, pode ser um sinal de que o preço está próximo de um topo e que pode ser um bom momento para realizar lucros.
Para investidores de longo prazo, pode ser um alerta para evitar compras nesse momento, aguardando uma possível correção.
E se a linha roxa não atingir a faixa vermelha?
Se a linha roxa não atingir a faixa vermelha, o ativo pode ainda ter espaço para valorização antes de atingir um topo. No entanto, é importante observar outros fatores do mercado, como volume, sentimento e contexto macroeconômico.
Regime Classifier Oscillator (AiBitcoinTrend)The Regime Classifier Oscillator (AiBitcoinTrend) is an advanced tool for understanding market structure and detecting dynamic price regimes. By combining filtered price trends, clustering algorithms, and an adaptive oscillator, it provides traders with detailed insights into market phases, including accumulation, distribution, advancement, and decline.
This innovative tool simplifies market regime classification, enabling traders to align their strategies with evolving market conditions effectively.
👽 What is a Regime Classifier, and Why is it Useful?
A Regime Classifier is a concept in financial analysis that identifies distinct market conditions or "regimes" based on price behavior and volatility. These regimes often correspond to specific phases of the market, such as trends, consolidations, or periods of high or low volatility. By classifying these regimes, traders and analysts can better understand the underlying market dynamics, allowing them to adapt their strategies to suit prevailing conditions.
👽 Common Uses in Finance
Risk Management: Identifying high-volatility regimes helps traders adjust position sizes or hedge risks.
Strategy Optimization: Traders tailor their approaches—trend-following strategies in trending regimes, mean-reversion strategies in consolidations.
Forecasting: Understanding the current regime aids in predicting potential transitions, such as a shift from accumulation to an upward breakout.
Portfolio Allocation: Investors allocate assets differently based on market regimes, such as increasing cash positions in high-volatility environments.
👽 Why It’s Important
Markets behave differently under varying conditions. A regime classifier provides a structured way to analyze these changes, offering a systematic approach to decision-making. This improves both accuracy and confidence in navigating diverse market scenarios.
👽 How We Implemented the Regime Classifier in This Indicator
The Regime Classifier Oscillator takes the foundational concept of market regime classification and enhances it with advanced computational techniques, making it highly adaptive.
👾 Median Filtering: We smooth price data using a custom median filter to identify significant trends while eliminating noise. This establishes a baseline for price movement analysis.
👾 Clustering Model: Using clustering techniques, the indicator classifies volatility and price trends into distinct regimes:
Advance: Strong upward trends with low volatility.
Decline: Downward trends marked by high volatility.
Accumulation: Consolidation phases with subdued volatility.
Distribution: Topping or bottoming patterns with elevated volatility.
This classification leverages historical price data to refine cluster boundaries dynamically, ensuring adaptive and accurate detection of market states.
Volatility Classification: Price volatility is analyzed through rolling windows, separating data into high and low volatility clusters using distance-based assignments.
Price Trends: The interaction of price levels with the filtered trendline and volatility clusters determines whether the market is advancing, declining, accumulating, or distributing.
👽 Dynamic Cycle Oscillator (DCO):
Captures cyclic behavior and overlays it with smoothed oscillations, providing real-time feedback on price momentum and potential reversals.
Regime Visualization:
Regimes are displayed with intuitive labels and background colors, offering clear, actionable insights directly on the chart.
👽 Why This Implementation Stands Out
Dynamic and Adaptive: The clustering and refit mechanisms adapt to changing market conditions, ensuring relevance across different asset classes and timeframes.
Comprehensive Insights: By combining price trends, volatility, and cyclic behaviors, the indicator provides a holistic view of the market.
This implementation bridges the gap between theoretical regime classification and practical trading needs, making it a powerful tool for both novice and experienced traders.
👽 Applications
👾 Regime-Based Trading Strategies
Traders can use the regime classifications to adapt their strategies effectively:
Advance & Accumulation: Favorable for entering or holding long positions.
Decline & Distribution: Opportunities for short positions or risk management.
👾 Oscillator Insights for Trend Analysis
Overbought/oversold conditions: Early warning of potential reversals.
Dynamic trends: Highlights the strength of price momentum.
👽 Indicator Settings
👾 Filter and Classification Settings
Filter Window Size: Controls trend detection sensitivity.
ATR Lookback: Adjusts the threshold for regime classification.
Clustering Window & Refit Interval: Fine-tunes regime accuracy.
👾 Oscillator Settings
Dynamic Cycle Oscillator Lookback: Defines the sensitivity of cycle detection.
Smoothing Factor: Balances responsiveness and stability.
Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
خطوط عمودی تایمفریم//@version=5
indicator("خطوط عمودی تایمفریم", overlay=true)
var line_color_daily = color.new(color.blue, 50) // رنگ خطوط روزانه
var line_color_weekly = color.new(color.green, 50) // رنگ خطوط هفتگی
var line_color_monthly = color.new(color.red, 50) // رنگ خطوط ماهانه
// بررسی تایمفریم
is_daily = timeframe.isintraday and timeframe.multiplier == 5 or timeframe.multiplier == 30
is_weekly = timeframe.isintraday and timeframe.multiplier == 60
is_monthly = timeframe.isintraday and timeframe.multiplier == 240
// رسم خطوط روزانه
if is_daily and ta.change(time("D")) != 0
line.new(x1=bar_index, y1=high, x2=bar_index, y2=low, color=line_color_daily, width=1)
// رسم خطوط هفتگی
if is_weekly and ta.change(time("W")) != 0
line.new(x1=bar_index, y1=high, x2=bar_index, y2=low, color=line_color_weekly, width=2)
// رسم خطوط ماهانه
if is_monthly and ta.change(time("M")) != 0
line.new(x1=bar_index, y1=high, x2=bar_index, y2=low, color=line_color_monthly, width=3)
Cameron's 1m Swing Structure IndicatorThis is based off of Pips2Profit's www.youtube.com
I am no programmer, took the CC and had ChatGPT do the coding. I found it amazing, thought I would share.
For educational use only. :P
Binary Options Pro Helper By Himanshu AgnihotryThe Binary Options Pro Helper is a custom indicator designed specifically for one-minute binary options trading. This tool combines technical analysis methods like moving averages, RSI, Bollinger Bands, and pattern recognition to provide precise Buy and Sell signals. It also includes a time-based filter to ensure trades are executed only during optimal market conditions.
Features:
Moving Averages (EMA):
Uses short-term (7-period) and long-term (21-period) EMA crossovers for trend detection.
RSI-Based Signals:
Identifies overbought/oversold conditions for entry points.
Bollinger Bands:
Highlights market volatility and potential reversal zones.
Chart Pattern Recognition:
Detects double tops (sell signals) and double bottoms (buy signals).
Time-Based Filter:
Trades only within specified hours (e.g., 9:30 AM to 11:30 AM) to avoid unnecessary noise.
Visual Signals:
Plots buy and sell markers directly on the chart for ease of use.
How to Use:
Setup:
Add this script to your TradingView chart and select a 1-minute timeframe.
Signal Interpretation:
Buy Signal: Triggered when EMA crossover occurs, RSI is oversold (<30), and a double bottom pattern is detected.
Sell Signal: Triggered when EMA crossover occurs, RSI is overbought (>70), and a double top pattern is detected.
Timing:
Ensure trades are executed only during the specified time window for better accuracy.
Best Practices:
Use this indicator alongside fundamental analysis or market sentiment.
Test it thoroughly with historical data (backtesting) and in a demo account before live trading.
Adjust parameters (e.g., EMA periods, RSI thresholds) based on your trading style.
CM_Williams_Vix_Fix Top BottomModification to the original CM_Williams_Vix_Fix that also finds the top.
Maverick Henderson Strategy
Maverick Henderson Strategy
A comprehensive technical analysis indicator that combines several powerful tools:
1. Volume Profile with POC (Point of Control)
- Displays volume distribution across price levels
- Shows value areas and POC line
- Helps identify key support/resistance levels
2. Multiple EMAs (10, 50, 100, 200)
- Trend identification and dynamic support/resistance
- Price action confirmation
- Works best with Heikin Ashi candles
3. Swing Detection & Counting System
- Identifies and counts higher highs/lower lows
- Dynamic trend strength measurement
- Automatically resets on EMA200 crossovers
4. RSI Divergence Detection
- Regular bullish/bearish divergences
- Hidden bullish/bearish divergences
- Filtered by EMA200 position
5. Multi-Timeframe Squeeze Momentum
- Analyzes momentum across 1H, 2H, 3H, and 4H timeframes
- Shows momentum convergence/divergence
- Visual color-coded momentum representation
Usage Tips:
- Best performance with Heikin Ashi candles
- Use EMA crossovers for trend confirmation
- Watch for momentum convergence signals
- Monitor RSI divergences for potential reversals
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If you find this indicator helpful, you can support my work:
USDT (BNB Smart Chain - BEP20): 0x0e7fcdcc8939791b48e73882b32df1cddaafa88c
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Estrategia Maverick Henderson
Un indicador de análisis técnico completo que combina varias herramientas poderosas:
1. Perfil de Volumen con POC
- Muestra la distribución del volumen por niveles de precio
- Visualiza áreas de valor y línea POC
- Ayuda a identificar niveles clave de soporte/resistencia
2. Múltiples EMAs (10, 50, 100, 200)
- Identificación de tendencias y soporte/resistencia dinámica
- Confirmación de acción del precio
- Funciona mejor con velas Heikin Ashi
3. Sistema de Detección y Conteo de Swings
- Identifica y cuenta máximos más altos/mínimos más bajos
- Medición dinámica de la fuerza de la tendencia
- Se reinicia automáticamente en cruces de EMA200
4. Detección de Divergencias RSI
- Divergencias regulares alcistas/bajistas
- Divergencias ocultas alcistas/bajistas
- Filtradas por posición respecto a EMA200
5. Momentum Multi-Temporal
- Analiza momentum en marcos de 1H, 2H, 3H y 4H
- Muestra convergencia/divergencia de momentum
- Representación visual codificada por colores
Consejos de Uso:
- Mejor rendimiento con velas Heikin Ashi
- Usar cruces de EMA para confirmación de tendencia
- Observar señales de convergencia de momentum
- Monitorear divergencias RSI para posibles reversiones
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Si encuentras útil este script y deseas apoyar mi trabajo:
USDT (BNB Smart Chain - BEP20): 0x0e7fcdcc8939791b48e73882b32df1cddaafa88c
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ZelosKapital Round NumberThe ZelosKapital Round Number Indicator is a tool designed for traders to easily visualize significant round numbers on their charts. Round numbers, such as 1.20000 or 1.21000 in currency pairs, often act as psychological levels in the market where price action tends to react. This indicator automatically marks these levels across the chart, providing a clear reference for potential support and resistance zones. It is customizable, allowing traders to adjust the visual appearance, such as line style, color, and thickness. By highlighting these key levels, the indicator helps traders make more informed decisions and enhances their overall trading analysis.
ATT #FFSJRCreated using ATT method - www.youtube.com
Set in settings the hour you want to use it.
My prefer using at 10 and 11am NY timezone GMT-5
Method creator: TradeWithWill
Discover the Intraday ATT Method—short for Advanced Time Technique, a groundbreaking day trading strategy designed to optimize your trading time and maximize intraday profits. Whether you're a seasoned trader or just starting out, this exclusive method offers proven techniques for enhancing decision-making, managing risks, and achieving consistent trading success. In this video, you'll learn the fundamentals of the Intraday ATT Method, step-by-step implementation guides, and real-life case studies that demonstrate its effectiveness in today's fast-paced markets.
Volatility Crypto Trading Strategy//@version=5
indicator("Volatility Crypto Trading Strategy", overlay=true)
// Input parameters for Bollinger Bands and MACD
bb_length = input.int(20, title="Bollinger Band Length")
bb_std_dev = input.float(2.0, title="Bollinger Band Standard Deviation")
macd_fast = input.int(12, title="MACD Fast Length")
macd_slow = input.int(26, title="MACD Slow Length")
macd_signal = input.int(9, title="MACD Signal Length")
// Input for higher timeframe
htf = input.timeframe("30", title="Higher Timeframe")
// Bollinger Bands calculation
bb_basis = ta.sma(close, bb_length)
bb_upper = bb_basis + bb_std_dev * ta.stdev(close, bb_length)
bb_lower = bb_basis - bb_std_dev * ta.stdev(close, bb_length)
// MACD calculation
= ta.macd(close, macd_fast, macd_slow, macd_signal)
// Higher timeframe trend confirmation
htf_close = request.security(syminfo.tickerid, htf, close)
htf_trend = ta.sma(htf_close, bb_length)
higher_trend_up = htf_close > htf_trend
higher_trend_down = htf_close < htf_trend
// Entry conditions
long_condition = close < bb_lower and macd_line > signal_line and higher_trend_up
short_condition = close > bb_upper and macd_line < signal_line and higher_trend_down
// Exit conditions
long_exit_condition = close >= bb_basis * 1.1
short_exit_condition = close <= bb_basis * 0.9
// Plot Bollinger Bands
plot(bb_upper, color=color.red, title="Upper Bollinger Band")
plot(bb_lower, color=color.green, title="Lower Bollinger Band")
plot(bb_basis, color=color.blue, title="Bollinger Band Basis")
// Plot Buy/Sell signals
plotshape(series=long_condition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=short_condition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Alerts
alertcondition(long_condition, title="Long Entry", message="Buy Signal")
alertcondition(short_condition, title="Short Entry", message="Sell Signal")
alertcondition(long_exit_condition, title="Long Exit", message="Exit Long")
alertcondition(short_exit_condition, title="Short Exit", message="Exit Short")
Fibonacci RepulseFibonacci Repulse with Trend Table 📉📈
Description: The "Fibonacci Repulse" indicator for TradingView combines Fibonacci retracement levels with dynamic support/resistance detection, providing real-time price action insights. 🔄 This powerful tool plots critical Fibonacci retracement levels (23.6%, 38.2%, and 50%) based on the highest and lowest swing points over a user-defined lookback period. The indicator automatically detects bullish retests, alerting you when the price touches and closes above any of the Fibonacci levels, indicating potential upward momentum. 🚀
Key Features:
Fibonacci Retracement Levels 📊: Plots key levels (23.6%, 38.2%, 50%) dynamically based on the highest and lowest price swings over a customizable lookback period.
Bullish Retests Alerts ⚡: Identifies and marks bullish retests when the price touches the Fibonacci levels and closes above them, signaling potential upward movement.
Real-Time Trend Detection 🔍: Displays the current market trend as "Bullish," "Bearish," or "Sideways" in a clear, easy-to-read table in the bottom right corner of the chart. This is determined based on the price's position relative to the Fibonacci levels.
Customizable Settings ⚙️: Adjust the lookback period and label offsets for optimal visual customization.
How It Works:
The indicator calculates the Fibonacci retracement levels between the highest high and the lowest low within a user-defined period. 🧮
It draws extended lines at the 23.6%, 38.2%, and 50% retracement levels, updating them as the chart moves. 📉
When the price touches a Fibonacci level and closes above it, a "Bullish Retest" label appears, signaling a potential buy opportunity. 💡
A real-time trend status table updates automatically in the chart's bottom-right corner, helping traders quickly assess the market's trend direction: Bullish, Bearish, or Sideways. 🔄
Why Use It: This indicator is perfect for traders looking for a clear and visual way to incorporate Fibonacci levels into their trading strategies, with real-time feedback on trend direction and price action signals. Whether you are a novice or an experienced trader, "Fibonacci Repulse" provides a powerful tool for identifying potential reversal points and confirming trends, enhancing your trading strategy. 📈💪
Logarithmic IndicatorThis logarithmic indicator does the following:
It calculates the logarithm of the chosen price (default is close price) using a user-defined base (default is 10).
It then calculates a Simple Moving Average (SMA) of the logarithmic values.
Both the logarithmic value and its SMA are plotted on the chart.
To improve visibility, it also plots an upper and lower band based on the highest and lowest values over the last 100 periods.
To use this indicator:
Open the TradingView Pine Editor.
Paste the code into the editor.
Click "Add to Chart" or "Save" to apply the indicator to your chart.
Adjust the input parameters in the indicator settings as needed.
You can customize this indicator further by:
Changing the color scheme
Adding more moving averages or other technical indicators
Implementing alerts based on crossovers or other conditions
Remember, logarithmic scales are often used in finance to visualize data that spans several orders of magnitude, making it easier to see percentage changes over time.
Volatility Cycle IndicatorThe Volatility Cycle Indicator is a non-directional trading tool designed to measure market volatility and cycles based on the relationship between standard deviation and Average True Range (ATR). In the Chart GBPAUD 1H time frame you can clearly see when volatility is low, market is ranging and when volatility is high market is expanding.
This innovative approach normalizes the standard deviation of closing prices by ATR, providing a dynamic perspective on volatility. By analyzing the interaction between Bollinger Bands and Keltner Channels, it also detects "squeeze" conditions, highlighting periods of reduced volatility, often preceding explosive price movements.
The indicator further features visual aids, including colored zones, plotted volatility cycles, and highlighted horizontal levels to interpret market conditions effectively. Alerts for key events, such as volatility crossing significant thresholds or entering a squeeze, make it an ideal tool for proactive trading.
Key Features:
Volatility Measurement:
Tracks the Volatility Cycle, normalized using standard deviation and ATR.
Helps identify periods of high and low volatility in the market.
Volatility Zones:
Colored zones represent varying levels of market volatility:
Blue Zone: Low volatility (0.5–0.75).
Orange Zone: Transition phase (0.75–1.0).
Green Zone: Moderate volatility (1.0–1.5).
Fuchsia Zone: High volatility (1.5–2.0).
Red Zone: Extreme volatility (>2.0).
Squeeze Detection:
Identifies when Bollinger Bands contract within Keltner Channels, signaling a volatility squeeze.
Alerts are triggered for potential breakout opportunities.
Visual Enhancements:
Dynamic coloring of the Volatility Cycle for clarity on its momentum and direction.
Plots multiple horizontal levels for actionable insights into market conditions.
Alerts:
Sends alerts when the Volatility Cycle crosses significant levels (e.g., 0.75) or when a squeeze condition is detected.
Non-Directional Nature:
The indicator does not predict the market's direction but rather highlights periods of potential movement, making it suitable for both trend-following and mean-reversion strategies.
How to Trade with This Indicator:
Volatility Squeeze Breakout:
When the indicator identifies a squeeze (volatility compression), prepare for a breakout in either direction.
Use additional directional indicators or chart patterns to determine the likely breakout direction.
Crossing Volatility Levels:
Pay attention to when the Volatility Cycle crosses the 0.75 level:
Crossing above 0.75 indicates increasing volatility—ideal for trend-following strategies.
Crossing below 0.75 signals decreasing volatility—consider mean-reversion strategies.
Volatility Zones:
Enter positions as volatility transitions through key zones:
Low volatility (Blue Zone): Watch for breakout setups.
Extreme volatility (Red Zone): Be cautious of overextended moves or reversals.
Alerts for Proactive Trading:
Configure alerts for squeeze conditions and level crossings to stay updated without constant monitoring.
Best Practices:
Pair the Volatility Cycle Indicator with directional indicators such as moving averages, trendlines, or momentum oscillators to improve trade accuracy.
Use on multiple timeframes to align entries with broader market trends.
Combine with risk management techniques, such as ATR-based stop losses, to handle volatility spikes effectively.