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.
Dönemler
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!
Election Inauguration ScriptAllows to quickly identify significant historical events by marking U.S. presidential inauguration weeks with vertical lines and labels directly on the chart. This script highlights the past 10 inaugurations, helping traders and analysts correlate market movements with political transitions.
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.
Wilder Moving AverageThe Wilder Moving Average (WMA) is a technical analysis tool developed by J. Welles Wilder Jr. It is designed to identify trends and potential entry and exit points in the financial markets2. Unlike the simple moving average (SMA) or the exponential moving average (EMA), the Wilder Moving Average places more emphasis on recent price movements, making it more responsive to short-term changes in the market.
Key Features:
Smoothing Technique: Wilder's Moving Average uses a smoothing technique that gives greater weight to more recent data points. This results in a faster and more responsive moving average2.
Calculation: The calculation involves subtracting the previous average from the current price and adding the resulting difference to the previous average.
Usage: Traders use the Wilder Moving Average to identify trends, support and resistance levels, and potential crossovers, where the price crosses above or below the moving average, indicating a potential trend reversal.
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.
Equilibrium ZonesEquilibrium Zones
This script identifies equilibrium zones within a specified range of bars, providing valuable insights into potential support and resistance levels. By analyzing the highest and lowest prices over a user-defined range, the script calculates the equilibrium price and additional levels around it to highlight demand, supply, and resistance/support zones.
Features:
Equilibrium Zone:
Calculates the equilibrium price as the midpoint between the range's highest and lowest prices.
Highlights key levels around the equilibrium, such as primary and secondary support/resistance levels.
Visual Representation:
Displays horizontal lines for each level with customizable colors and styles.
Adds descriptive labels next to the lines for better clarity on the chart.
User Inputs:
Range Length: Specify the number of bars to analyze for calculating the range.
Offset: Adjust the label placement for better visibility.
Dynamic Updates:
Automatically updates lines and labels to keep the chart clean and focused.
How to Use:
Add the script to your chart.
Customize the Range Length and Offset inputs to fit your analysis style.
Observe the equilibrium zones and use them to identify potential breakout, reversal, or consolidation areas.
SR Channels + Oversold & Overbought + Supertrend (Public)SR Channels + Oversold & Overbought + Supertrend (Public)
CM_Williams_Vix_Fix Top BottomModification to the original CM_Williams_Vix_Fix that also finds the top.
GS_MM_Swing_V12Features Highlight:
Hull Moving Average Variants:
Hma (Hull Moving Average)
Thma (Triple Hull Moving Average)
Ehma (Exponential Hull Moving Average)
Customizable Inputs:
Strategy direction (long, short, or all).
ADR% length and calculation.
Hull line thickness, color, and transparency.
Backtest Period Control:
Users can specify custom start and stop dates for backtesting.
Signal Logic:
Buy when HMA > HMA and sell when HMA < HMA .
Ensures that trades only occur during the backtesting period.
ADR% Display:
Calculates and displays ADR% as a label above the current bar.
Gap Detection:
Highlights gap-up candles based on a user-defined gap percentage using a yellow background.
Usage Suggestions:
Adjust the Hull Moving Average length for your trading style:
Use 180-200 for dynamic support/resistance levels.
Use 55 for swing trading entries.
Fine-tune the ADR% length to better reflect your target timeframe.
Use the gap detection feature to spot potential breakout or momentum setups.
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
// ═══════════════════════════════════════════════════════════
If you find this indicator helpful, you can support my work:
USDT (BNB Smart Chain - BEP20): 0x0e7fcdcc8939791b48e73882b32df1cddaafa88c
// ═══════════════════════════════════════════════════════════
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
// ═══════════════════════════════════════════════════════════
Si encuentras útil este script y deseas apoyar mi trabajo:
USDT (BNB Smart Chain - BEP20): 0x0e7fcdcc8939791b48e73882b32df1cddaafa88c
// ═══════════════════════════════════════════════════════════
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.
KgCandlev2This script is a comprehensive tool designed for traders to analyze candlestick and chart patterns effectively.
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")
