VWAP BY PRO MENTORDescription of the VWAP Indicator Strategy
The Volume Weighted Average Price (VWAP) is a widely-used technical indicator that provides a benchmark for the average price an asset has traded at throughout the day, based on both price and volume. It is particularly popular among institutional traders, intraday traders, and scalpers. Unlike moving averages that consider only price, VWAP incorporates volume, making it a more accurate representation of market sentiment and price levels.
Components of the VWAP:
Price Component: The average price is calculated using high, low, and close prices.
Volume Component: This adds weight to the prices based on the trading volume, emphasizing areas of high activity.
How the VWAP Strategy Works:
Bullish Bias:
When the price is above the VWAP line, it indicates that the asset is trading in a bullish environment.
Traders often use this as a signal to enter long positions or to avoid selling short.
Bearish Bias:
When the price is below the VWAP line, it indicates a bearish sentiment in the market.
Traders consider this a signal to enter short positions or avoid buying.
VWAP as Support/Resistance:
The VWAP line often acts as dynamic support or resistance.
Traders use it to identify pullbacks or breakouts during trending markets.
Entry and Exit Rules:
Entry Rules:
Go long when the price crosses above the VWAP line, signaling a potential uptrend.
Go short when the price crosses below the VWAP line, signaling a potential downtrend.
Exit Rules:
Exit when the price retraces back to the VWAP line, suggesting a potential reversal or consolidation.
Use additional indicators like RSI or MACD for confirmation.
Advantages:
Volume-Weighted Accuracy: VWAP incorporates volume into its calculation, making it a reliable tool for understanding true market trends.
Institutional Usage: Institutional traders use VWAP to gauge execution prices, ensuring trades occur near the average price.
Intraday Applicability: VWAP is reset daily, making it highly effective for intraday trading strategies.
Limitations:
Intraday Focus: VWAP is recalculated at the start of each trading session, limiting its use for multi-day trends.
Lagging Indicator: Like all moving averages, VWAP lags behind price movements due to its reliance on past data.
Enhancements:
Combine VWAP with other tools for greater reliability:
RSI or Stochastic Oscillator: To confirm overbought or oversold conditions.
Price Action Analysis: Identify key support and resistance levels.
Moving Averages: Integrate with EMAs or SMAs for better trend identification.
The VWAP Strategy is an effective tool for both novice and professional traders looking to align their trades with market sentiment and trends. Its combination of price and volume data makes it an indispensable indicator for intraday trading.
트렌드 어낼리시스
EMA 50 + 200 CROSS BY PRO MENTORDescription of the 50 + 200 EMA Crossover Strategy
The 50 + 200 EMA Crossover Strategy is a popular and straightforward trend-following trading method used by traders in various markets, such as stocks, forex, and cryptocurrencies. This strategy uses two exponential moving averages (EMAs) with different timeframes: the 50-period EMA and the 200-period EMA. These moving averages help identify the prevailing market trend and generate buy or sell signals based on their crossovers.
Components of the Strategy:
50 EMA (Short-Term Trend):
The 50 EMA represents the short-term trend.
It reacts more quickly to price changes compared to the 200 EMA.
200 EMA (Long-Term Trend):
The 200 EMA represents the long-term trend.
It is slower to respond to price changes, providing a broader view of the market direction.
How the Strategy Works:
Bullish Crossover (Golden Cross):
When the 50 EMA crosses above the 200 EMA, it signals a potential upward trend.
This is known as a "Golden Cross" and indicates a possible buying opportunity.
Bearish Crossover (Death Cross):
When the 50 EMA crosses below the 200 EMA, it signals a potential downward trend.
This is referred to as a "Death Cross" and indicates a possible selling opportunity.
Entry and Exit Rules:
Entry Rules:
Enter a long position when the 50 EMA crosses above the 200 EMA (Golden Cross).
Enter a short position when the 50 EMA crosses below the 200 EMA (Death Cross).
Exit Rules:
Exit the position when the reverse crossover occurs or use additional indicators (e.g., RSI, MACD) to confirm trend exhaustion.
Alternatively, traders can use stop-loss and take-profit levels to manage risks.
Advantages:
Trend Identification: Clearly identifies long-term trends, reducing the risk of trading against the market direction.
Simplicity: Easy to understand and implement, making it suitable for beginners.
Widely Used: Effective across different asset classes and timeframes.
Limitations:
Lagging Indicator: Both EMAs are lagging indicators, meaning they rely on past price data, which can delay signals during volatile market conditions.
Choppy Markets: In sideways or range-bound markets, the strategy can generate false signals, leading to losses.
Enhancements:
Combine the EMA crossover with other tools, such as:
RSI (Relative Strength Index) to filter overbought/oversold conditions.
Volume Indicators to confirm the strength of the trend.
Support and Resistance Levels for additional context.
The 50 + 200 EMA Crossover Strategy is a reliable starting point for traders who want to capture significant trends while maintaining simplicity. However, it works best in trending markets and should be paired with sound risk management practices for optimal results.
EMA, Supertrend, and RSI CombinedPlots exponential moving average, Supertrend and Relative strength at once for rapid indication of momentum shift as well as comparative relative strength with stock or index
Displays EMA 20, Supertrend and relative strength
Fifteen Second TraderTo be used only on 15-second charts. Designed for my own use, but others are free to explore.
Basically, when the big arrows show up, take a trade.
If there's an X, do not (the X generally represents a consolidation/sloppy zone, especially within the VWAP band.)
NEVER take a trade when price is within the first VWAP band.
Smart Moving Average Trend IndicatorThe Smart Moving Average Trend Indicator is designed to provide traders with a comprehensive analysis of market trends, confirmations, and potential reversals. Here’s a detailed description of its technical features:
Technical Features
Moving Average Calculation:
Simple Moving Average (SMA): The indicator calculates a simple moving average over a user-defined period (default is 14 bars). This average helps smooth out price fluctuations and identify the overall direction of the trend.
Trend Detection:
Primary Trend: Identifies long-term trends (weeks to months) based on price movement above or below the SMA.
Secondary Trend: Tracks short-term corrections or retracements against the primary trend.
Minor Trend: Monitors short-term fluctuations, providing insights into immediate market movements.
Volume Confirmation:
The indicator assesses whether the current volume exceeds a threshold (default is 1.5 times the SMA of volume). A price increase accompanied by higher volume indicates stronger trend validity.
Trendline Detection:
The script draws trendlines for primary, secondary, and minor trends, visually assisting traders in identifying potential support and resistance levels. These trendlines help visualize the overall market structure.
Trend Reversal Signals:
The indicator highlights potential trend reversals based on specific conditions (e.g., lower troughs or peaks). This feature allows traders to anticipate changes in trend direction, increasing the likelihood of capturing significant price moves.
Alerts:
Alert Conditions: The indicator includes alert conditions for potential trend reversals and volume confirmations. Traders can set up alerts to be notified when these conditions are met, facilitating timely decision-making.
Visual Indications:
Background Color: Changes the background color to red when a potential trend reversal is detected, providing a clear visual cue.
Volume Confirmation Markers: Displays small upward labels below bars when volume confirmation is present, indicating significant trading activity accompanying price movements.
Overall Benefits
Multi-Faceted Analysis: The combination of trend detection, volume analysis, and reversal signals provides a holistic view of market dynamics.
Enhanced Decision-Making: With alerts and visual cues, traders can make more informed decisions, potentially increasing their success in identifying entry and exit points.
Flexibility: Users can customize the moving average length and volume threshold, allowing the indicator to adapt to different trading strategies and timeframes.
This Smart Moving Average Trend Indicator is particularly useful for traders looking to capture trends while minimizing noise and false signals, making it a valuable tool in technical analysis.
Temporary Help Services Jobs - Trend Allocation StrategyThis strategy is designed to capitalize on the economic trends represented by the Temporary Help Services (TEMPHELPS) index, which is published by the Federal Reserve Economic Data (FRED). Temporary Help Services Jobs are often regarded as a leading indicator of labor market conditions, as changes in temporary employment levels frequently precede broader employment trends.
Methodology:
Data Source: The strategy uses the FRED dataset TEMPHELPS for monthly data on temporary help services.
Trend Definition:
Uptrend: When the current month's value is greater than the previous month's value.
Downtrend: When the current month's value is less than the previous month's value.
Entry Condition: A long position is opened when an uptrend is detected, provided no position is currently held.
Exit Condition: The long position is closed when a downtrend is detected.
Scientific Basis:
The TEMPHELPS index serves as a leading economic indicator, as noted in studies analyzing labor market cyclicality (e.g., Katz & Krueger, 1999). Temporary employment is often considered a proxy for broader economic conditions, particularly in predicting recessions or recoveries. Incorporating this index into trading strategies allows for aligning trades with potential macroeconomic shifts, as suggested by research on employment trends and market performance (Autor, 2001; Valetta & Bengali, 2013).
Usage:
This strategy is best suited for long-term investors or macroeconomic trend followers who wish to leverage labor market signals for equity or futures trading. It operates exclusively on end-of-month data, ensuring minimal transaction costs and noise.
[Taj_treyder] signal buy-sell + ZigZagСалом ба хама Трейдерони Точик! Ман Абдулло Ахмадов хастам.
Ман ин индикатор-ро барои истифодабарии трейдер-хо ва тредуня-хои Точик сохтам,
Аз сабабе ки ин индикатор-ро ман аз 4- авторхои дигари Тредингвью гирифтам якчоя кардам онро дар руйи хати умуми монда наметонам. Шумо метавонед ин индикатор-ро озод дар графикхои худ истифода баред (Таймфрейми аз 45М, 1Н, 2Н, 4Н, то D1).
Хусусият-хои ин индикатор: Ердам кардан дар Торговляи шумо, Осон намудани Тичорати шумо дар бозорхои чахони!
1.- Муян намудани уровен-хои Сапративления ва Подержка,
2.- Муаян намудани Линия Тренда.
3.- Муаян намудани Восходящий ё Нисходящий Тренд (Рынок боло ё поён харакат дорад).
4.- Муаян намудани Точка входа-100% (чойи аники 100% Сделкаро кушодан).
5.- Мондани-100% Стоп-Лосс (чойи аники-100% мондани басс-зарар-дидан, - 2% аз Капитал).
6.- Мондани Тейк-профит (Чойи аники-100% баландтар-ини гирифтани фойда, 1/3, 1/5).
Ман ин индикаторро барои истифода барии Трейдер-хои тамоми Точикони руи замин сохтам! истифода-барии ин ройгон (бе пул, "без платно" мебошад).
Ин Индикатор кори шуморо-95% осон мекунад, Ердами аники хисоби математикии Уровинхо, Ердами аники математикии Линия-Тренда, Ердами-100% аники кушодани сделкахои Лонг ё Шорт (100%- сигналы Buy и Sell с помощью искусственного интеллекта).
Ердами фахмиши боло ё поён равии Рынокхо (100%- определения Восходящего и Нисходящего рынока).
[Taj_treyder] signal buy-sell + ZigZagСалом ба хама Трейдерони Точик! Ман Абдулло Ахмадов хастам.
Ман ин индикатор-ро барои истифодабарии трейдер-хо ва тредуня-хои Точик сохтам,
Аз сабабе ки ин индикатор-ро ман аз 4- авторхои дигари Тредингвью гирифтам якчоя кардам онро дар руйи хати умуми монда наметонам. Шумо метавонед ин индикатор-ро озод дар графикхои худ истифода баред (Таймфрейми аз 45М, 1Н, 2Н, 4Н, то D1).
Хусусият-хои ин индикатор: Ердам кардан дар Торговляи шумо, Осон намудани Тичорати шумо дар бозорхои чахони!
1.- Муян намудани уровен-хои Сапративления ва Подержка,
2.- Муаян намудани Линия Тренда.
3.- Муаян намудани Восходящий ё Нисходящий Тренд (Рынок боло ё поён харакат дорад).
4.- Муаян намудани Точка входа-100% (чойи аники 100% Сделкаро кушодан).
5.- Мондани-100% Стоп-Лосс (чойи аники-100% мондани басс-зарар-дидан, - 2% аз Капитал).
6.- Мондани Тейк-профит (Чойи аники-100% баландтар-ини гирифтани фойда, 1/3, 1/5).
Ман ин индикаторро барои истифода барии Трейдер-хои тамоми Точикони руи замин сохтам! истифода-барии ин ройгон (бе пул, "без платно" мебошад).
Ин Индикатор кори шуморо-95% осон мекунад, Ердами аники хисоби математикии Уровинхо, Ердами аники математикии Линия-Тренда, Ердами-100% аники кушодани сделкахои Лонг ё Шорт (100%- сигналы Buy и Sell с помощью искусственного интеллекта).
Ердами фахмиши боло ё поён равии Рынокхо (100%- определения Восходящего и Нисходящего рынока).
BK BB Horizontal LinesIndicator Description:
I am incredibly proud and excited to share my second indicator with the TradingView community! This tool has been instrumental in helping me optimize my positioning and maximize my trades.
Bollinger Bands are a critical component of my trading strategy. I designed this indicator to work seamlessly alongside my previously introduced tool, "BK MA Horizontal Lines." This indicator focuses specifically on the Daily Bollinger Bands, applying horizontal lines to the bands for clarity and ease of use. The settings are fully adjustable to suit your preferences and trading style.
If you find success with this indicator, I kindly ask that you give back in some way through acts of philanthropy, helping others in the best way you see fit.
Good luck to everyone, and always remember: God gives us everything. May all the glory go to the Almighty!
BK MA Horizontal Lines
Indicator Description:
I am incredibly proud and excited to share my first indicator with the TradingView community! This tool has been instrumental in helping me optimize my positioning and maximize my trades.
Moving Averages (MAs) are among the top three most crucial indicators for trading, and I believe that the Daily, Weekly, and Monthly MAs are especially critical. The way I’ve designed this indicator allows you to combine MAs from your Daily timeframe with one or two from the Weekly or Monthly timeframes, depending on what is most relevant for the specific product or timeframe you’re analyzing.
For optimal use, I recommend:
Spacing your chart about 11 spaces from the right side.
Setting the Labels at 10 in the indicator configuration.
Keeping the line thickness at size 1, while using size 2 for my other indicator, "BK BB Horizontal Lines", which follows a similar concept but applies to Bollinger Bands.
If you find success with this indicator, I kindly ask that you give back in some way through acts of philanthropy, helping others in the best way you see fit.
Good luck to everyone, and always remember: God gives us everything. May all the glory go to the Almighty!
Support and Resistance Trading IndicatorИндикатор Support and Resistance Trading Indicator разработан для эффективной торговли на уровнях поддержки и сопротивления. Он автоматически определяет ключевые уровни, анализирует экстремумы цены за заданный период и отображает сигналы для входа в рынок на основе популярных разворотных паттернов.
Основные функции
Автоматическое определение уровней поддержки и сопротивления:
Анализ экстремумов цены за заданный пользователем период.
Игнорирование мелких рыночных движений и шума для отображения только значимых уровней.
Сигналы для входа в рынок:
Покупка: При формировании разворотного паттерна (пин-бар с длинной нижней тенью или бычье поглощение) на уровне поддержки, подтвержденного увеличением объема.
Продажа: При формировании разворотного паттерна (молот с длинной верхней тенью или медвежье поглощение) на уровне сопротивления, также подтвержденного объемом.
Отображение ключевой информации на графике:
Уровни поддержки и сопротивления в виде линий с гибкими настройками стиля и цвета.
Стрелки и метки для сигналов входа с указанием текущей цены.
Рекомендуемые уровни стоп-лосса (SL) и тейк-профита (TP) с соответствующими ценами.
Гибкие настройки:
Период для анализа уровней.
Настройка стоп-лосса: в процентах от цены.
Выбор типа тейк-профита: фиксированный (по соотношению риск/прибыль) или динамический (следующий уровень).
Параметры паттернов (например, минимальная длина тени для пин-бара).
Режимы отображения:
Минималистичный: Только уровни и сигналы для входа.
Расширенный: Дополнительная информация, включая визуализацию стоп-лосса, тейк-профита и выделение паттернов.
Кому подойдет этот индикатор?
Этот индикатор полезен для:
Трейдеров, которые торгуют от уровней поддержки и сопротивления.
Любителей паттернов Price Action.
Начинающих и опытных трейдеров, желающих автоматизировать поиск точек входа.
Как использовать?
Настройте параметры индикатора (период анализа, стиль уровней, параметры стоп-лосса и тейк-профита).
Следите за сигналами на покупку и продажу, которые отображаются стрелками и метками на графике.
Используйте рекомендуемые уровни стоп-лосса и тейк-профита для управления рисками.
Примечание
Индикатор не является торговой стратегией. Перед использованием обязательно протестируйте его на исторических данных и применяйте в сочетании с другими инструментами анализа.
//@version=6
indicator("Support and Resistance Trading Indicator", overlay=true)
// === Входные параметры ===
period = input.int(20, title="Период для расчета уровней")
support_color = input.color(color.green, title="Цвет уровня поддержки")
resistance_color = input.color(color.red, title="Цвет уровня сопротивления")
line_style = input.string("solid", title="Стиль линий", options= )
show_patterns = input.bool(true, title="Отображать паттерны на графике")
stop_loss_percent = input.float(1.0, title="Стоп-лосс (%)", step=0.1)
risk_reward_ratio = input.float(2.0, title="Соотношение риск/прибыль")
pattern_min_shadow = input.float(2.0, title="Мин. длина тени для пин-бара (%)")
mode = input.string("expanded", title="Режим отображения", options= )
// === Расчет уровней поддержки и сопротивления ===
var support_levels = array.new_float(0)
var resistance_levels = array.new_float(0)
highest_high = ta.highest(high, period)
lowest_low = ta.lowest(low, period)
is_support = low == lowest_low
is_resistance = high == highest_high
if is_support
array.push(support_levels, low)
if is_resistance
array.push(resistance_levels, high)
// Удаление старых уровней для оптимизации
if array.size(support_levels) > 10
array.shift(support_levels)
if array.size(resistance_levels) > 10
array.shift(resistance_levels)
// === Функция для отрисовки линий ===
draw_levels(levels, color, style) =>
for i = 0 to array.size(levels) - 1
line.new(x1=bar_index ,
x2=bar_index + period,
y1=array.get(levels, i),
y2=array.get(levels, i),
color=color, width=1, style=style)
// Отрисовка уровней
draw_levels(support_levels, support_color, line_style)
draw_levels(resistance_levels, resistance_color, line_style)
// === Проверка паттернов ===
is_pinbar_bullish = (close > open) and ((low / close) * 100 > pattern_min_shadow)
is_engulfing_bullish = close < open and close > open and close > open
is_pinbar_bearish = (close < open) and ((high / close) * 100 > pattern_min_shadow)
is_engulfing_bearish = close > open and close < open and close < open
is_volume_high = volume > ta.sma(volume, period)
// Сигналы для покупки и продажи
buy_signal = is_support and (is_pinbar_bullish or is_engulfing_bullish) and is_volume_high
sell_signal = is_resistance and (is_pinbar_bearish or is_engulfing_bearish) and is_volume_high
// === Отображение сигналов на графике ===
if buy_signal
label.new(bar_index, low,
str.tostring(close, "#.##") + " BUY",
style=label.style_label_up,
color=color.green,
textcolor=color.white)
if sell_signal
label.new(bar_index, high,
str.tostring(close, "#.##") + " SELL",
style=label.style_label_down,
color=color.red,
textcolor=color.white)
// === Расчет стоп-лосса и тейк-профита ===
stop_loss = buy_signal ? low * (1 - stop_loss_percent / 100) : sell_signal ? high * (1 + stop_loss_percent / 100) : na
take_profit = buy_signal ? close + (close - stop_loss) * risk_reward_ratio : sell_signal ? close - (stop_loss - close) * risk_reward_ratio : na
// Отображение стоп-лосса с ценой
if not na(stop_loss)
label.new(bar_index, stop_loss,
"SL: " + str.tostring(stop_loss, "#.##"),
style=label.style_label_left,
color=color.orange,
textcolor=color.black)
// === Визуализация сигналов через цветные линии ===
plotshape(series=buy_signal, style=shape.triangleup, location=location.belowbar, color=color.new(color.green, 0), size=size.small)
plotshape(series=sell_signal, style=shape.triangledown, location=location.abovebar, color=color.new(color.red, 0), size=size.small)
// === Дополнительное отображение ===
plot(stop_loss, title="Stop Loss", color=color.orange, style=plot.style_circles)
plot(take_profit, title="Take Profit", color=color.blue, style=plot.style_circles)
sajjad jamshidi Support The Bull Market Support Band Strategy is a trend-following strategy that leverages the relationship between two moving averages: the Simple Moving Average (SMA) and the Exponential Moving Average (EMA). This strategy aims to capture long positions in a bullish market when the EMA crosses above the SMA, signaling an upward trend, and to exit positions when the EMA crosses below the SMA, indicating a bearish reversal. The strategy is designed to operate on a weekly timeframe.
FRACTAL ACADEMY - GOLD - MORNING ZONEThis indicator is designed to identify key price zones (Golden Zone) and analyze market structures based on the fractal strategy. It highlights the most critical price ranges during the morning session, helping traders identify maximum and minimum price levels and essential trends.
Key Features:
Fractal-Based Zones: Identifies and visualizes fractal price zones for better market analysis.
Maximum and Minimum Levels: Tracks and displays the high and low points within the session for precise trading decisions.
Customizable Settings: Allows users to personalize the visual appearance and functionality of the indicator.
Daily Dividers: Highlights daily separations to organize market data clearly.
This indicator is a powerful tool for professional traders who want to leverage fractal strategies in the gold market, particularly in the morning trading session.
Consecutive Candles DevisSoHi Traders !!!
Level Calculation:
50% and 23.6% Fibonacci levels are calculated based on the open and close of the previous candles.
Consecutive Candle Check:
For an uptrend: Each candle's low must not touch the 50% levels of the previous candles.
For a downtrend: Each candle's high must not touch the 50% levels of the previous candles.
Pullback Level:
When a long signal is triggered, the current candle's low is recorded as a pullback level.
When a short signal is triggered, the current candle's high is recorded as a pullback level.
Breakout and Signal Generation:
If the price breaks above the calculated level, a long signal is generated; if it breaks below, a short signal is generated.
These signals are visualized on the chart.
Continuity:
The system checks the last signal to ensure the validity of new signals, maintaining the consistency of consecutive signals.
Relative StrengthThis strategy employs a custom "strength" function to assess the relative strength of a user-defined source (e.g., closing price, moving average) compared to its historical performance over various timeframes (8, 34, 20, 50, and 200 periods). The strength is calculated as a percentage change from an Exponential Moving Average (EMA) for shorter timeframes and a Simple Moving Average (SMA) for longer timeframes. Weights are then assigned to each timeframe based on a logarithmic scale, and a weighted average strength is computed.
Key Features:
Strength Calculation:
Calculates the relative strength of the source using EMAs and SMAs over various timeframes.
Assigns weights to each timeframe based on a logarithmic scale, emphasizing shorter timeframes.
Calculates a weighted average strength for a comprehensive view.
Visualizations:
Plots the calculated strength as a line, colored green for positive strength and red for negative strength.
Fills the background area below the line with green for positive strength and red for negative strength, enhancing visualization.
Comparative Analysis:
Optionally displays the strength of Bitcoin (BTC), Ethereum (ETH), S&P 500, Nasdaq, and Dow Jones Industrial Average (DJI) for comparison with the main source strength.
Backtesting:
Allows users to specify a start and end time for backtesting the strategy's performance.
Trading Signals:
Generates buy signals when the strength turns positive from negative and vice versa for sell signals.
Entry and exit are conditional on the backtesting time range.
Basic buy and sell signal plots are commented out (can be uncommented for visual representation).
Risk Management:
Closes all open positions and cancels pending orders outside the backtesting time range.
Disclaimer:
Backtesting results do not guarantee future performance. This strategy is for educational purposes only and should be thoroughly tested and refined before risking capital.
Additional Notes:
- The strategy uses a custom "strength" function that can be further customized to explore different timeframes and weighting schemes.
- Consider incorporating additional technical indicators or filters to refine the entry and exit signals.
- Backtesting with different parameters and market conditions is crucial for evaluating the strategy's robustness.
Levels Strength Index [BigBeluga]Levels Strength Index provides a unique perspective on market strength by comparing price positions relative to predefined levels, delivering a dynamic probability-based outlook for potential up and down moves.
🔵 Idea:
The Levels Strength Index analyzes the price position against a series of calculated levels, assigning probabilities for upward and downward movements. These probabilities are displayed in percentage form, providing actionable insights into market momentum and strength. The color-coded display visually reinforces whether the price is predominantly above or below key levels, simplifying trend analysis.
🔵 Key Features:
Dynamic Probability Calculation: The indicator compares the current price position relative to 10 predefined levels, assigning an "Up" and "Down" percentage. For example, if the price is above 8 levels, it will display 80% upward and 20% downward probabilities.
Color-Coded Trend Visualization: When the price is above the majority of levels, the display turns green, signaling strength. Conversely, when below, it shifts to orange, reflecting bearish momentum.
Clear Up/Down Probability Labels: Probabilities are displayed with directional arrows next to the price, instantly showing the likelihood of upward or downward moves.
Probability-Based Price Line: The price line is color-coded based on the probability percentages, allowing a quick glance at the prevailing trend and market strength. This can be toggled in the settings.
Customizable Transparency: Adjust the transparency of the levels to seamlessly integrate the indicator with your preferred chart setup.
Fully Configurable: Control key parameters such as the length of levels and price color mode (trend, neutral, or none) through intuitive settings.
🔵 When to Use:
The Levels Strength Index is ideal for traders looking to:
Identify strong upward or downward market momentum using quantified probabilities.
Visualize price strength relative to key levels with intuitive color coding.
Supplement existing level-based strategies by combining probabilities and market positioning.
Gain instant clarity on potential market moves with percentage-based insights.
Whether you're trading trends or ranges, this tool enhances decision-making by combining level-based analysis with a dynamic probability system, offering a clear, actionable perspective on market behavior.
Compare TOTAL, TOTAL2, TOTAL3, and OTHERSCompare TOTAL, TOTAL2, TOTAL3, and OTHERS
This indicator compares the performance of major cryptocurrency market cap indices: TOTAL, TOTAL2, TOTAL3, and OTHERS. It normalizes each index's performance relative to its starting value and visualizes their relative changes over time.
Features
- Normalized Performance: Tracks the percentage change of each index from its initial value.
- Customizable Timeframe: Allows users to select a base timeframe for the data (e.g., daily, weekly).
- Dynamic Labels: Displays the latest performance of each index as a label on the chart, aligned to the right of the corresponding line for easy comparison.
- Color-Coded Lines: Each index is assigned a distinct color for clear differentiation:
-- TOTAL (Blue): Represents the total cryptocurrency market cap.
-- TOTAL2 (Green): Excludes Bitcoin.
-- TOTAL3 (Orange): Excludes Bitcoin and Ethereum.
-- OTHERS (Red): Represents all cryptocurrencies excluding the top 10 by market cap.
- Baseline Reference: Includes a horizontal line at 0% for reference.
Use Cases:
- Market Trends: Identify which segments of the cryptocurrency market are outperforming or underperforming over time.
- Portfolio Insights: Assess the impact of Bitcoin and Ethereum dominance on the broader market.
- Market Analysis: Compare smaller-cap coins (OTHERS) with broader indices (TOTAL, TOTAL2, and TOTAL3).
This script is ideal for traders and analysts who want a quick, visual way to track how different segments of the cryptocurrency market perform relative to each other over time.
Note: The performance is normalized to highlight percentage changes, not absolute values.
Santa's Adventure [AlgoAlpha]Introducing "Santa's Adventure," a unique and festive TradingView indicator designed to bring the holiday spirit to your trading charts. With this indicator, watch as Santa, his sleigh, Rudolf the reindeer, and a flurry of snowflakes come to life, creating a cheerful visual experience while you monitor the markets.
Key Features:
🎁 Dynamic Santa Sleigh Visualization : Santa's sleigh, Rudolf, and holiday presents adapt to price movements and chart structure.
🎨 Customizable Holiday Colors : Adjust colors for Santa’s outfit, Rudolf’s nose, sleigh, presents, and more.
❄️ Realistic Snow Animation : A cascade of snowflakes decorates your charts, with density and range adjustable to suit your preferences.
📏 Adaptive Scaling : All visuals scale based on price volatility and market dynamics.
🔄 Rotation by Trend : Santa and his entourage tilt to reflect market trends, making it both functional and fun!
How to Use :
Add the Indicator to Your Chart : Search for "Santa's Adventure" in the TradingView indicator library and add it to your favorites. Use the input menu to adjust snow density, sleigh colors, and other festive elements to match your trading style or holiday mood.
Observe the Market : Watch Santa’s sleigh glide across the chart while Rudolf leads the way, with snowflakes gently falling to enhance the visual charm.
How It Works :
The indicator uses price volatility and market data to dynamically position Santa, his sleigh, Rudolf, and presents on the chart. Santa's Sleigh angle adjusts based on price trends, reflecting market direction. Santa's sleigh and the snowstorm are plotted using advanced polyline arrays for a smooth and interactive display. A festive algorithm powers the snowfall animation, ensuring a consistent and immersive holiday atmosphere. The visuals are built to adapt seamlessly to any market environment, combining holiday cheer with market insights.
Add "Santa's Adventure" to your TradingView charts today and bring the holiday spirit to your trading journey, Merry Christmas! 🎅🎄
Brijesh TTrades candle plot"Brijesh TTrades candle plot" is a powerful and customizable indicator that allows you to overlay higher timeframe candles directly on your chart. Choose your desired timeframe (e.g., Daily, Hourly) and plot up to 10 recent candles with precise control over color, wick style, and width. The candles are offset by 40 bars to the right, providing a clear and unobstructed view of the current price action. Ideal for multi-timeframe analysis and gaining deeper insights into market trends.
Intelligent Support & Resistance Lines (MTF)This script automatically detects and updates key Support & Resistance (S/R) levels using a higher timeframe (MTF) approach. By leveraging volume confirmation, levels are only identified when significant volume (relative to the SMA of volume) appears. Each level is drawn horizontally in real time, and whenever the market breaks above a resistance level (and retests it), the script automatically converts that resistance into support. The opposite occurs if the market breaks below a support level.
Key Features:
Multi-Timeframe (MTF) Data
Select a higher timeframe for more robust S/R calculations.
The script fetches High, Low, Volume, and SMA of Volume from the chosen timeframe.
Automatic Role Reversal
Resistance becomes Support if a breakout retest occurs.
Support becomes Resistance if a breakdown retest occurs.
Dynamic Line Width & Labeling
Each S/R line’s thickness increases with additional touches, making frequently tested levels easier to spot.
Labels automatically display the number of touches (e.g., “R 3” or “S 2”) and can have adjustable text size.
Volume Threshold
Only significant pivots (where volume exceeds a specified multiplier of average volume) are plotted, reducing noise.
Horizontal Offset for Clarity
Lines are drawn with timestamps instead of bar_index, ensuring that old levels remain visible without chart limitations.
Adjustable Maximum Levels
Maintain a clean chart by limiting how many S/R lines remain at once.
How It Works:
Pivot Detection: The script identifies swing highs and lows from the higher timeframe (timeframeSR).
Volume Check: Only pivots with volume ≥ (SMA Volume * volumeThreshold) qualify.
Line Creation & Updates: New lines are drawn at these pivots, labeled “R #” or “S #,” indicating how many times they’ve been touched.
Role Reversal: If price breaks above a resistance and retests it from above, that line is removed from the resistance array and re-created in the support array (and vice versa).
Inputs:
Timeframe for S/R: Choose the higher timeframe for S/R calculations.
Swing Length: Number of bars to consider in a pivot calculation.
Minimum Touches: Minimum required touches before drawing or updating a level.
Volume Threshold (Multiplier): Determines how much volume (relative to SMA) is needed to confirm a pivot.
Maximum Number of Levels: Caps how many S/R lines can be shown at once.
Color for Resistance & Color for Support: Customize your preferred colors for lines and labels.
Label Size: Select from "tiny", "small", "normal", "large", or "huge" to resize the labels.
Disclaimer:
This script is intended for educational purposes and should not be interpreted as financial or investment advice. Always conduct your own research or consult a qualified professional before making trading decisions.
MA Deviation Suite [InvestorUnknown]This indicator combines advanced moving average techniques with multiple deviation metrics to offer traders a versatile tool for analyzing market trends and volatility.
Moving Average Types :
SMA, EMA, HMA, DEMA, FRAMA, VWMA: Standard moving averages with different characteristics for smoothing price data.
Corrective MA: This method corrects the MA by considering the variance, providing a more responsive average to price changes.
f_cma(float src, simple int length) =>
ma = ta.sma(src, length)
v1 = ta.variance(src, length)
v2 = math.pow(nz(ma , ma) - ma, 2)
v3 = v1 == 0 or v2 == 0 ? 1 : v2 / (v1 + v2)
var tolerance = math.pow(10, -5)
float err = 1
// Gain Factor
float kPrev = 1
float k = 1
for i = 0 to 5000 by 1
if err > tolerance
k := v3 * kPrev * (2 - kPrev)
err := kPrev - k
kPrev := k
kPrev
ma := nz(ma , src) + k * (ma - nz(ma , src))
Fisher Least Squares MA: Aims to reduce lag by using a Fisher Transform on residuals.
f_flsma(float src, simple int len) =>
ma = src
e = ta.sma(math.abs(src - nz(ma )), len)
z = ta.sma(src - nz(ma , src), len) / e
r = (math.exp(2 * z) - 1) / (math.exp(2 * z) + 1)
a = (bar_index - ta.sma(bar_index, len)) / ta.stdev(bar_index, len) * r
ma := ta.sma(src, len) + a * ta.stdev(src, len)
Sine-Weighted MA & Cosine-Weighted MA: These give more weight to middle bars, creating a smoother curve; Cosine weights are shifted for a different focus.
Deviation Metrics :
Average Absolute Deviation (AAD) and Median Absolute Deviation (MAD): AAD calculates the average of absolute deviations from the MA, offering a measure of volatility. MAD uses the median, which can be less sensitive to outliers.
Standard Deviation (StDev): Measures the dispersion of prices from the mean.
Average True Range (ATR): Reflects market volatility by considering the day's range.
Average Deviation (adev): The average of previous deviations.
// Calculate deviations
float aad = f_aad(src, dev_len, ma) * dev_mul
float mad = f_mad(src, dev_len, ma) * dev_mul
float stdev = ta.stdev(src, dev_len) * dev_mul
float atr = ta.atr(dev_len) * dev_mul
float avg_dev = math.avg(aad, mad, stdev, atr)
// Calculated Median with +dev and -dev
float aad_p = ma + aad
float aad_m = ma - aad
float mad_p = ma + mad
float mad_m = ma - mad
float stdev_p = ma + stdev
float stdev_m = ma - stdev
float atr_p = ma + atr
float atr_m = ma - atr
float adev_p = ma + avg_dev
float adev_m = ma - avg_dev
// upper and lower
float upper = f_max4(aad_p, mad_p, stdev_p, atr_p)
float upper2 = f_min4(aad_p, mad_p, stdev_p, atr_p)
float lower = f_min4(aad_m, mad_m, stdev_m, atr_m)
float lower2 = f_max4(aad_m, mad_m, stdev_m, atr_m)
Determining Trend
The indicator generates trend signals by assessing where price stands relative to these deviation-based lines. It assigns a trend score by summing individual signals from each deviation measure. For instance, if price crosses above the MAD-based upper line, it contributes a bullish point; crossing below an ATR-based lower line contributes a bearish point.
When the aggregated trend score crosses above zero, it suggests a shift towards a bullish environment; crossing below zero indicates a bearish bias.
// Define Trend scores
var int aad_t = 0
if ta.crossover(src, aad_p)
aad_t := 1
if ta.crossunder(src, aad_m)
aad_t := -1
var int mad_t = 0
if ta.crossover(src, mad_p)
mad_t := 1
if ta.crossunder(src, mad_m)
mad_t := -1
var int stdev_t = 0
if ta.crossover(src, stdev_p)
stdev_t := 1
if ta.crossunder(src, stdev_m)
stdev_t := -1
var int atr_t = 0
if ta.crossover(src, atr_p)
atr_t := 1
if ta.crossunder(src, atr_m)
atr_t := -1
var int adev_t = 0
if ta.crossover(src, adev_p)
adev_t := 1
if ta.crossunder(src, adev_m)
adev_t := -1
int upper_t = src > upper ? 3 : 0
int lower_t = src < lower ? 0 : -3
int upper2_t = src > upper2 ? 1 : 0
int lower2_t = src < lower2 ? 0 : -1
float trend = aad_t + mad_t + stdev_t + atr_t + adev_t + upper_t + lower_t + upper2_t + lower2_t
var float sig = 0
if ta.crossover(trend, 0)
sig := 1
else if ta.crossunder(trend, 0)
sig := -1
Backtesting and Performance Metrics
The code integrates with a backtesting library that allows traders to:
Evaluate the strategy historically
Compare the indicator’s signals with a simple buy-and-hold approach
Generate performance metrics (e.g., mean returns, Sharpe Ratio, Sortino Ratio) to assess historical effectiveness.
Practical Usage and Calibration
Default settings are not optimized: The given parameters serve as a starting point for demonstration. Users should adjust:
len: Affects how smooth and lagging the moving average is.
dev_len and dev_mul: Influence the sensitivity of the deviation measures. Larger multipliers widen the bands, potentially reducing false signals but introducing more lag. Smaller multipliers tighten the bands, producing quicker signals but potentially more whipsaws.
This flexibility allows the trader to tailor the indicator for various markets (stocks, forex, crypto) and time frames.
Disclaimer
No guaranteed results: Historical performance does not guarantee future outcomes. Market conditions can vary widely.
User responsibility: Traders should combine this indicator with other forms of analysis, appropriate risk management, and careful calibration of parameters.
