TRAP 02who hold positions for several days to weeks, also benefit from volume analysis. Stocks showing rising volume above their 20-bar average are often amid a strong trend, which can continue for several sessions. Rising volume suggests that a trend has momentum and may continue, providing swing traders with the potential for substantial gains.
Traders looking for positional traders can check daily volumes, while investors can keep checking weekly volumes on weekends.
Analisis Trend
Supertrend + KAMA Long StrategyThis strategy combines Supertrend and Kaufman Adaptive Moving Average (KAMA) indicators to identify long positions and manage stop-loss conditions effectively.
**Supertrend**: Determines the trend direction and helps identify entry and exit points.
**KAMA**: Adapts dynamically to market volatility and confirms trend reversals.
The strategy enters a long position when the Supertrend indicates an uptrend and the price is above the KAMA. It exits when the Supertrend switches to a downtrend and the price is below the KAMA, minimizing losses or protecting profits.
Price Changes Relative to Previous CloseThis script displays the price values in percentages (open, high, low, and close) of the current bars relative to the previous bar's close. This helps visualize the amplitude of price movements. Depending on the user's choice, the display can be in the form of candles or bars.
Main steps of the script
Retrieves the previous bar's closing price.
Calculates the percentage changes in the open, high, low, and close prices of the current bar relative to the previous bar's close.
Sets the colors for bullish (green) and bearish (red) candles/bars.
Allows the user to choose the display type (candles or bars).
Displays the candles or bars on the chart.
Creates arrays to store the highs and lows of the last 252 bars and filters them based on the current bar's close.
Calculates the average values of the highs and lows for the filtered bars and displays them on the chart.
Изменение цен относительно предыдущего закрытия
Этот скрипт отображает значения цен в процентах (открытие, высокие, низкие и закрытие) текущих баров относительно закрытия предыдущего бара. Это помогает визуализировать амплитуду движений цен. В зависимости от выбора пользователя, отображение может быть в виде свечей или баров.
Основные шаги скрипта
Получает цену закрытия предыдущего бара.
Вычисляет процентные изменения открытой, высокой, низкой и закрытой цен текущего бара относительно закрытия предыдущего бара.
Настраивает цвета для бычьих (зелёных) и медвежьих (красных) свечей/баров.
Позволяет пользователю выбирать тип отображения (свечи или бары).
Отображает свечи или бары на графике.
Создаёт массивы для хранения максимумов и минимумов за последние 252 бара и фильтрует их в зависимости от закрытия текущего бара.
Вычисляет средние значения максимумов и минимумов для отфильтрованных баров и отображает их на графике.
S&P 500 E-Mini TrackerThis script generates a reference price for the S&P 500 ETF - SPY based on the current price of the ES contract, which is an E-Mini Futures contract representing the S&P 500 index. The indicator plots this reference price on the chart, providing a unique view of the relationship between these two popular markets.
Advantages:
Identifies divergence between the ES and SPY prices, indicating potential trading opportunities or shifts in market sentiment.
Confirms trends by showing the correlation between the ES and SPY prices.
Eliminates the need for multiple charts, allowing traders to focus on a single screen and make more informed decisions.
Customizable Parameters:
Color Scheme: Choose from various color options to customize the appearance of the indicator.
Line Style: Select from different line styles to change the visual representation of the reference price.
Divisor: Set the dividing factor to adjust the ratio at which the reference price is calculated. (Default value: 10). It is recommended to keep it at 10 for SPY.
To use it with other Stocks/ ETFs, use simple ratio math to calculate the divisor and you can customize the indicator to scale accordingly.
By using this indicator, traders can gain a deeper understanding of the relationship between the E-Mini and SPY markets, making it easier to identify trading opportunities and confirm trends.
Enhanced Market Opportunity StrategyThe Enhanced Market Opportunity Strategy is a versatile Pine Script designed for trading various asset classes (forex, crypto, indices, etc.) and timeframes. It combines technical indicators like MACD, RSI, and EMA with dynamic risk management tools such as ATR-based stop-loss and take-profit levels. The script highlights buy/sell signals and includes features like partial profit targets, trailing stops, and performance tracking (wins/losses). It also provides customizable alerts and labels for price movements (+100 points) for effective trade execution
Cumulative Force Oscillator with MACDCumulative Force Oscillator with MACD
The Cumulative Force Oscillator with MACD is an advanced technical indicator designed to provide traders with a unique perspective on market momentum and trend strength. By combining the power of cumulative candle force analysis with MACD crossover signals, this indicator offers a multifaceted approach to market analysis.
Key Features
1. Cumulative Force Calculation**: Measures the net force of price movements over a specified number of candles.
2. MACD Integration**: Incorporates MACD crossover signals for additional trend confirmation.
3. Visual Cues**: Utilizes color-coded oscillator lines and background zones for easy interpretation.
4. **Dynamic Labeling**: Displays real-time force values and percentage changes.
How It Works
Cumulative Force Calculation
The indicator calculates the "force" of each candle by subtracting the open price from the close price. It then sums this force over a user-defined number of candles to create a cumulative force value. This value oscillates above and below zero, indicating bullish or bearish pressure respectively.
MACD Crossover Detection
The indicator uses the standard MACD (12, 26, 9) to detect bullish and bearish crossovers. These crossovers are visually represented by colored background zones, providing an additional layer of trend confirmation.
Visual Representation
- The main oscillator line is plotted in green when above zero (bullish) and red when below zero (bearish).
- Background colors change based on MACD crossovers: light blue for bullish crossovers and light orange for bearish crossovers.
- A dynamic label displays the current cumulative force value and its percentage change from the previous period.
Interpretation
1. Oscillator Line : When the line is above zero, it indicates net bullish pressure; below zero suggests net bearish pressure.
2. Oscillator Momentum : The steepness and direction of the oscillator line indicate the strength and direction of the current market force.
3. MACD Crossovers : Blue background zones suggest potential bullish trends, while orange zones indicate potential bearish trends.
4. Divergences : Look for divergences between the oscillator and price action for potential trend reversal signals.
Customization
Users can customize several aspects of the indicator :
- Number of candles for force calculation
- Label offset and text size
- Color schemes (through code modification)
Conclusion
The Cumulative Force Oscillator with MACD is a versatile tool that combines momentum analysis with trend confirmation signals. By providing a visual representation of cumulative market force alongside MACD crossovers, it offers traders a comprehensive view of market dynamics. This indicator can be particularly useful for identifying potential trend reversals, confirming existing trends, and gauging overall market strength.
Setup 123V3Setup based on 123 signal from trader Stormer, improved with daily open, volume average, EMA34 and RSI indicators.
ODR/PDR in Prices@DrGirishSawhneyThis indicator guide us about the recent rally of minimum 20% in any given script with consecutive green candles . the lowest point of green candle gives the buy signal and the highest point of green candle gives the sell or exit signal.
Supertrend with Multiple EMA by KanzuBaeFeatures:
ATR (Average True Range) Settings:
Allows the user to adjust the ATR period and multiplier for the Supertrend calculation.
Offers an option to choose between the standard ATR or a simple moving average (SMA) for ATR calculation.
Source Price:
Users can select from four different EMAs (EMA1, EMA2, EMA3, EMA4) or use the default HL2 (average of high and low) as the source price for calculating the Supertrend.
The EMAs are calculated with adjustable periods.
Supertrend Calculation:
The Supertrend is calculated using the selected source price and ATR values. The trend direction is determined based on whether the closing price is above or below the Supertrend lines.
Trend Plotting:
The script plots the Supertrend lines: green for an uptrend and red for a downtrend. These lines are updated based on trend reversals.
Buy/Sell Signals:
The script generates buy and sell signals based on trend reversals (when the trend changes from up to down or vice versa).
Buy and sell signals are marked on the chart using shapes and labels.
Background Highlighting:
The background is highlighted in green for an uptrend and red for a downtrend. This can be turned on or off using the highlighting option.
EMA Lines:
The selected EMAs (EMA1, EMA2, EMA3, EMA4) are plotted on the chart for reference.
Alerts:
Alerts are triggered when a buy or sell signal occurs or when the trend direction changes.
Customization:
You can adjust the ATR period, multiplier, and EMA periods.
You can enable or disable the display of buy/sell signals and background highlighting.
The script allows for flexibility in choosing which EMA to use for the source price.
This script provides a versatile Supertrend indicator with multiple EMA options and various customization choices for traders who want more control over their strategy.
SMA & RSI Al Sinyalleri kendi özel ayarlarımdır her grafikte çalışmaz genelde 4s 2s gibi grafiklerde çalışır
Heikin Ashi Candles - [Better Overlay]Heikin Ashi Candles - Better Overlay
Heikin Ashi candles are a unique charting technique designed to smooth price data, making it easier to identify trends and potential reversals. The "Heikin Ashi Candles - Better Overlay" indicator takes this concept further by introducing enhancements like a moving average based on the Heikin Ashi values and an overlay of actual price dynamics. This blog explores the functionality and features of this indicator.
Key Features
1. Heikin Ashi Candle Plotting
The indicator calculates Heikin Ashi values (open, high, low, and close) to plot candles directly on the chart. These candles provide a clearer view of market trends by reducing noise commonly seen in standard candlesticks.
- Heikin Ashi Close: The average of open, high, low, and close prices.
- Heikin Ashi Open: A smoothed value derived from the previous Heikin Ashi open and close values.
- Heikin Ashi High/Low: The highest and lowest prices between the Heikin Ashi open, close, and the actual high/low of the period.
The candle colors are intuitive:
- Green: Indicates bullish movement.
- Red: Indicates bearish movement.
The indicator uses semi-transparent candle bodies to ensure better visibility of the actual price chart underneath.
2. Heikin Ashi Moving Average
The indicator includes an optional moving average calculated from the Heikin Ashi values. This moving average helps traders identify the overall trend direction and its strength.
- The length of the moving average is adjustable via input settings.
- The color of the moving average line reflects its trend:
- Green: Uptrend.
- Red: Downtrend.
3. Dynamic Actual Price Line
To maintain a connection with real-time price data, the indicator overlays a dashed line representing the actual closing price of the asset. This feature provides valuable context when analyzing Heikin Ashi data, ensuring traders do not lose sight of the actual price levels.
Customization Options
The indicator offers several customization settings for better usability:
- Heikin Ashi Moving Average:
- Toggle to show or hide the moving average.
- Adjustable length for the moving average, ranging from 1 to 500 periods.
- Candle Styling:
- The colors and transparency levels of the candles are predefined to maintain chart clarity.
- Users can visually distinguish Heikin Ashi data from the actual price chart.
Practical Use Cases
1. Trend Identification
Heikin Ashi candles smooth out noise, making it easier to identify trends. Bullish and bearish candle coloring provides a quick visual cue for market sentiment.
2. Trend Strength and Reversals
The Heikin Ashi moving average serves as a reliable indicator of trend strength. A change in the color of the moving average can indicate a potential trend reversal.
3. Real-Time Price Reference
The dynamic price line ensures traders have a clear reference to the actual closing price, which is crucial for making informed decisions in real-time markets.
Conclusion
The "Heikin Ashi Candles - Better Overlay" indicator is a versatile tool for traders looking to combine the smoothing benefits of Heikin Ashi candles with the precision of real-time price data. Its additional features, like the Heikin Ashi moving average and dynamic price line, make it a comprehensive solution for both trend-following and real-time trading strategies.
This indicator is a great addition to any trader's toolkit, offering clarity and actionable insights without overcomplicating the chart. Give it a try to explore its potential in your trading journey.
DivergenceUnderstanding the Divergence Indicator
This indicator is designed to identify and analyze divergences between price action and multiple technical indicators across different timeframes. Divergence occurs when the price of an asset moves in one direction while a technical indicator moves in the opposite direction, potentially signaling a trend reversal or continuation.
Key Features
1. Customizable Parameters: Users can adjust settings for divergence detection, including:
- Bullish/Bearish divergence detection
- Regular/Hidden divergence identification
- Pivot lookback periods
- Weighting for different divergence types
2. Strength Calculation: The indicator calculates divergence strength based on the magnitude of divergence and user-defined weightings.
3. Visual Representation: Divergences are displayed on the chart with lines connecting price and indicator pivots, along with labels showing divergence strength.
Utility in Trading
1. Early Trend Reversal Signals: By identifying divergences, traders can anticipate potential trend reversals before they occur in price action.
2. Trend Continuation Confirmation: Hidden divergences can help confirm the continuation of an existing trend.
3. Multi-Timeframe Analysis: The indicator allows for divergence detection across various timeframes, enhancing the reliability of signals.
4. Risk Management: Traders can use divergence signals to adjust their stop-loss levels or take profits on existing positions.
5. Comprehensive Market View: By analyzing multiple indicators simultaneously, traders gain a more robust assessment of market conditions.
6. Objective Strength Evaluation: The divergence strength calculation provides an objective measure of signal significance.
By incorporating this divergence indicator into their trading strategy, traders can potentially improve their market timing, risk management, and overall trading performance.
Combined DCA StrategyThis script compares two investment strategies:
Fixed DCA Strategy: Invests a fixed amount monthly, regardless of market conditions.
Dynamic DCA Strategy: Invests only when a price drop (event) meets defined thresholds (daily, weekly, or monthly).
Parameters:
Start Date: When investments begin.
Monthly Budget: Amount allocated for dynamic investments.
Drop Thresholds: % price drops to trigger dynamic investments.
Fixed Investment: Monthly fixed amount.
Results:
Dynamic Strategy: Total invested and portfolio value when investing during events.
Fixed Strategy: Total invested and portfolio value with regular monthly investments.
Perfect for comparing reactive (event-based) and systematic (fixed) investment strategies.
Market Sessions
//@version=5
indicator('Market Sessions', 'Sessions', overlay=true, max_lines_count=200, max_boxes_count=200, max_labels_count=200, max_bars_back=500, explicit_plot_zorder=true)
import boitoki/AwesomeColor/9 as ac
import boitoki/Utilities/3 as util
///////////////
// Groups
///////////////
g0 = '// GENERAL //'
g1_01 = '// ♯1 SESSION //'
g1_02 = '// ♯2 SESSION //'
g1_03 = '// ♯3 SESSION //'
g1_04 = '// ♯4 SESSION //'
g1_05 = '// ♯5 SESSION //'
g4 = '// BOX //'
g6 = '// LABELS //'
g5 = '// OPENING RANGE //'
g7 = '// FIBONACCI LEVELS //'
g8 = '// OPTIONS //'
g11 = '// CANDLE //'
g10 = '// ALERTS VISUALISED //'
g12 = '// INFORMATION //'
///////////////
// Defined
///////////////
MAX_BARS = 500
option_yes = 'Yes'
option_no = '× No'
option_extend1 = 'Yes'
option_hide = '× Hide'
option_border_style1 = '────'
option_border_style2 = '- - - - - -'
option_border_style3 = '•••••••••'
option_chart_x = '× No'
option_chart_1 = 'Bar color'
option_chart_2 = 'Candles'
option_opr_label1 = 'High・Low'
option_opr_label2 = 'Buy・Sell'
option_opr_label_none = 'None'
option_candle_color1 = 'Session color'
option_candle_color2 = 'Red • Green'
fmt_price = '{0,number,#.#####}'
fmt_pips = '{0,number,#.#}'
icon_separator = ' • '
color_text = color.new(color.white, 0)
TRANSPARENT = color.new(color.black, 100)
///////////////
// Methods
///////////////
method clear (array id, int _min = 0) =>
if array.size(id) > _min
array.pop(id)
method clear (array id, int _min = 0) =>
if array.size(id) > _min
array.pop(id)
///////////////
// Types
///////////////
// OHLC
type OHLC
float open
float high
float low
float close
float hl
// Dot
type Dot
int x
float y
string t = ''
color c
method create(Dot this) =>
label.new(this.x, this.y, this.t, style=label.style_label_center, color=TRANSPARENT, textcolor=this.c, size=size.small)
// Candle
type Candle
box body
line wick
method create(Candle this) =>
this.body := array.new()
this.wick := array.new()
this
type State
string extend_style
bool show_fibs
bool show_op
method is_extended (State this) =>
this.extend_style != option_no
// OpeningRange
type OpeningRange
float top
float btm
float avg
float R1
float R2
float S1
float S2
int total_count = 0
int reached_count = 0
int reached_R1_count = 0
int reached_R2_count = 0
int reached_S1_count = 0
int reached_S2_count = 0
// Data
type Session
string sess
string tz
string name
color colour
float price_ranges
float price_range_avg
box boxes
line lines
label labels
line oclines
box ocboxes
label oc_labels
box opr_boxes
line opr_lines
linefill opr_linefills
label opr_labels
line fib
int session
bool is_extended
bool in_session
Candle candle
OHLC ohlc
State state
OpeningRange op
method create (Session this, string _extend, bool _show_fib, bool _show_op) =>
this.boxes := array.new()
this.lines := array.new()
this.labels := array.new()
this.oclines := array.new()
this.ocboxes := array.new()
this.oc_labels := array.new()
this.opr_boxes := array.new()
this.opr_lines := array.new()
this.opr_linefills := array.new()
this.opr_labels := array.new()
this.fib := array.new()
this.price_ranges := array.new()
this.state := State.new(_extend, _show_fib, _show_op)
this.candle := Candle.new().create()
this.ohlc := OHLC.new()
this.op := OpeningRange.new()
this.is_extended := this.state.is_extended()
this
method session (Session this) =>
time(timeframe.period, this.sess, this.tz)
method add (Session this, range_price, length = 50) =>
this.price_ranges.unshift(range_price)
this.price_ranges.clear(length)
this.price_range_avg := array.avg(this.price_ranges)
///////////////
// Functions
///////////////
f_get_time_by_bar (bar_count) => timeframe.multiplier * bar_count * 60 * 1000
f_border_style (_style) =>
switch _style
option_border_style1 => line.style_solid
option_border_style2 => line.style_dashed
option_border_style3 => line.style_dotted
=> _style
f_get_period (_session, _start, _lookback) =>
result = math.max(_start, 1)
for i = result to _lookback
if na(_session ) and _session
result := i+1
break
result
f_get_label_position (_y, _side) =>
switch _y
'top' => _side == 'outside' ? label.style_label_lower_left : label.style_label_upper_left
'bottom' => _side == 'outside' ? label.style_label_upper_left : label.style_label_lower_left
f_get_started (_session) => na(_session ) and _session
f_get_ended (_session) => na(_session) and _session
f_message_limit_bars (_v) => '⚠️ This box\'s right position exceeds 500 bars(' + str.tostring(_v) + '). This box is not displayed correctly.'
f_set_line_x1 (_line, _x) =>
if (line.get_x1(_line) != _x)
line.set_x1(_line, _x)
f_set_line_x2 (_line, _x) =>
if (line.get_x2(_line) != _x)
line.set_x2(_line, _x)
f_set_box_right (_box, _x) =>
if box.get_right(_box) != _x
box.set_right(_box, _x)
///////////////
// Inputs
///////////////
// Timezone
i_tz = input.string('GMT+0', title='Timezone', options= , group=g0)
i_history_period = input.int(10, 'History', minval=0, group=g0)
i_show = i_history_period > 0
i_lookback = 12 * 60
// Sessions
i_show_sess1 = input.bool(true, 'Session 1 ', group=g1_01, inline='session1_1') and i_show
i_sess1_label = input.string('London', '', group=g1_01, inline='session1_1')
i_sess1_color = input.color(#66D9EF, '', group=g1_01, inline='session1_1')
i_sess1_barcolor1 = input.color(#66D9EF, '•', group=g1_01, inline='session1_1')
i_sess1_barcolor2 = input.color(#66D9EF, '', group=g1_01, inline='session1_1')
i_sess1 = input.session('0800-1700', 'Time', group=g1_01)
i_sess1_extend = input.string(option_no, 'Extend', options= , group=g1_01)
i_sess1_op = input.string(option_no, 'Opening range', group=g1_01, options= ) != option_no and i_show
i_sess1_fib = input.string(option_no, 'Fibonacci levels', group=g1_01, options= ) != option_no
i_sess1_chart = input.string(option_chart_x, 'Bar', options= , group=g1_01)
i_sess1_barcolor = i_sess1_chart == option_chart_1
i_sess1_plotcandle = i_sess1_chart == option_chart_2
i_show_sess2 = input.bool(true, 'Session 2 ', group=g1_02, inline='session2_1') and i_show
i_sess2_label = input.string('New York', '', group=g1_02, inline='session2_1')
i_sess2_color = input.color(#FD971F, '', group=g1_02, inline='session2_1')
i_sess2_barcolor1 = input.color(#FD971F, '•', group=g1_02, inline='session2_1')
i_sess2_barcolor2 = input.color(#FD971F, '', group=g1_02, inline='session2_1')
i_sess2 = input.session('1300-2200', 'Time', group=g1_02)
i_sess2_extend = input.string(option_no, 'Extend', options= , group=g1_02)
i_sess2_op = input.string(option_no, 'Opening range', group=g1_02, options= ) != option_no and i_show
i_sess2_fib = input.string(option_no, 'Fibonacci levels', group=g1_02, options= ) != option_no
i_sess2_chart = input.string(option_chart_x, 'Bar', options= , group=g1_02)
i_sess2_barcolor = i_sess2_chart == option_chart_1
i_sess2_plotcandle = i_sess2_chart == option_chart_2
i_show_sess3 = input.bool(true, 'Session 3 ', group=g1_03, inline='session3_1') and i_show
i_sess3_label = input.string('Tokyo', '', group=g1_03, inline='session3_1')
i_sess3_color = input.color(#AE81FF, '', group=g1_03, inline='session3_1')
i_sess3_barcolor1 = input.color(#AE81FF, '•', group=g1_03, inline='session3_1')
i_sess3_barcolor2 = input.color(#AE81FF, '', group=g1_03, inline='session3_1')
i_sess3 = input.session('0000-0900', 'Time', group=g1_03)
i_sess3_extend = input.string(option_no, 'Extend', options= , group=g1_03)
i_sess3_op = input.string(option_no, 'Opening range', group=g1_03, options= ) != option_no and i_show
i_sess3_fib = input.string(option_no, 'Fibonacci levels', group=g1_03, options= ) != option_no
i_sess3_chart = input.string(option_chart_x, 'Bar', options= , group=g1_03)
i_sess3_barcolor = i_sess3_chart == option_chart_1
i_sess3_plotcandle = i_sess3_chart == option_chart_2
i_show_sess4 = input.bool(false, 'Session 4 ', group=g1_04, inline='session4_1') and i_show
i_sess4_label = input.string('Sydney', '', group=g1_04, inline='session4_1')
i_sess4_color = input.color(#FB71A3, '', group=g1_04, inline='session4_1')
i_sess4_barcolor1 = input.color(#FB71A3, '•', group=g1_04, inline='session4_1')
i_sess4_barcolor2 = input.color(#FB71A3, '', group=g1_04, inline='session4_1')
i_sess4 = input.session('2000-0500', 'Time', group=g1_04)
i_sess4_extend = input.string(option_no, 'Extend', options= , group=g1_04)
i_sess4_op = input.string(option_no, 'Opening range', group=g1_04, options= ) != option_no and i_show
i_sess4_fib = input.string(option_no, 'Fibonacci levels', group=g1_04, options= ) != option_no
i_sess4_chart = input.string(option_chart_x, 'Bar', options= , group=g1_04)
i_sess4_barcolor = i_sess4_chart == option_chart_1
i_sess4_plotcandle = i_sess4_chart == option_chart_2
i_show_sess5 = input.bool(false, 'Session 5 ', group=g1_05, inline='session5_1') and i_show
i_sess5_label = input.string('Sydney', '', group=g1_05, inline='session5_1')
i_sess5_color = input.color(#FB71A3, '', group=g1_05, inline='session5_1')
i_sess5_barcolor1 = input.color(#FB71A3, '•', group=g1_05, inline='session5_1')
i_sess5_barcolor2 = input.color(#FB71A3, '', group=g1_05, inline='session5_1')
i_sess5 = input.session('2000-0500', 'Time', group=g1_05)
i_sess5_extend = input.string(option_no, 'Extend', options= , group=g1_05)
i_sess5_op = input.string(option_no, 'Opening range', group=g1_05, options= ) != option_no and i_show
i_sess5_fib = input.string(option_no, 'Fibonacci levels', group=g1_05, options= ) != option_no
i_sess5_chart = input.string(option_chart_x, 'Bar', options= , group=g1_05)
i_sess5_barcolor = i_sess5_chart == option_chart_1
i_sess5_plotcandle = i_sess5_chart == option_chart_2
// Show & Styles
i_sess_box_style = input.string('Box', '', options= , group=g4, inline='box_style')
i_sess_border_style = f_border_style(input.string(option_border_style2, '', options= , group=g4, inline='box_style'))
i_sess_border_width = input.int(1, '', minval=0, group=g4, inline='box_style')
i_sess_box_background = input.bool(true, 'BG color', group=g4, inline='box_style_options')
i_sess_box_dots = input.bool(true, 'Dots', group=g4, inline='box_style_options')
i_sess_end_offset = input.bool(true, 'Include the latest bar in the Session end', group=g4)
i_sess_bgopacity = i_sess_box_background ? 94 : 100
i_sess_bgopacity2 = math.min(i_sess_bgopacity - 4, 100)
i_sess_border_width := i_sess_box_style == 'Background' ? 0 : i_sess_border_width
session_end_offset = i_sess_end_offset ? 0 : 1
// Labels
i_label_show = input.bool(true, '', inline='label_show', group=g6) and i_show
i_label_size = str.lower(input.string('Small', '', options= , inline='label_show', group=g6))
i_label_position_y = str.lower(input.string('Top', '', options= , inline='label_show', group=g6))
i_label_position_s = str.lower(input.string('Outside', '', options= , inline='label_show', group=g6))
i_label_position = f_get_label_position(i_label_position_y, i_label_position_s)
i_label_format_name = input.bool(true, 'Name', inline='label_format', group=g6)
i_label_format_day = input.bool(false, 'Day', inline='label_format', group=g6)
i_label_format_price = input.bool(false, 'Price', inline='label_format', group=g6)
i_label_format_pips = input.bool(false, 'Pips', inline='label_format', group=g6)
// Opening range
i_o_minutes = input.int(15, title='Periods mins', minval=1, step=1, group=g5)
i_o_minutes := math.max(i_o_minutes, timeframe.multiplier + 1)
i_o_transp = 65
i_o_size = input.string(size.small, 'Label size', options= , group=g5)
i_o_color = input.string(option_candle_color1, 'Label color', options= , group=g5)
i_o_label_1 = input.string('High', 'Label text ', group=g5, inline='op_label', tooltip="Type \"price\" to display the price")
i_o_label_2 = input.string('Low', '', group=g5, inline='op_label')
i_o_nowonly = input.bool(false, 'Now only', group=g5, inline='op_options')
i_o_breakout_icon = input.bool(false, 'Breakout flag', group=g5, inline='op_options')
i_o_target = input.bool(false, 'Target lines', group=g5, inline='op_options')
// Candle
option_candle_body = 'OC'
option_candle_wick = 'OHLC'
i_show_candle = input.bool(false, '', group=g11, inline='candle_display') //and (i_candle_border_width > 0)
i_candle = input.string(option_candle_wick, '', options= , group=g11, inline='candle_display')
i_candle_border_width = input.int(1, '', minval=1, group=g11, inline='candle_display')
i_candle_color = input.string(option_candle_color1, '', options= , group=g11, inline='candle_display')
i_candle_color_g = input.color(#A6E22E, '', group=g11, inline='candle_display')
i_candle_color_r = input.color(#F92672, '', group=g11, inline='candle_display')
i_candle := i_show_candle ? i_candle : option_hide
i_show_candle_wick = i_candle == option_candle_wick
i_sess_bgopacity2 := i_show_candle ? 100 : i_sess_bgopacity2
// Fibonacci levels
i_f_show = input.bool(true, '', group=g7, inline='fib_display')
i_f_linestyle = f_border_style(input.string(option_border_style1, '', options= , group=g7, inline='fib_display'))
i_f_linewidth = input.int(1, '', minval=1, group=g7, inline='fib_display')
i_sess1_fib := i_f_show ? i_sess1_fib : false
i_sess2_fib := i_f_show ? i_sess2_fib : false
i_sess3_fib := i_f_show ? i_sess3_fib : false
i_sess4_fib := i_f_show ? i_sess4_fib : false
// Information table
i_show_info = input.bool(true, '', group=g12, inline='info_display')
i_info_size = input.string(size.normal, '', options= , group=g12, inline='info_display')
i_info_value_type = input.string('Pips', '', options= , group=g12, inline='info_display')
i_info_period = input.int(50, '', group=g12, inline='info_display')
// Alerts
i_alert1_show = input.bool(false, 'Alerts - Sessions stard/end', group=g10)
i_alert2_show = input.bool(false, 'Alerts - Opening range breakouts', group=g10)
i_alert3_show = input.bool(false, 'Alerts - Price crossed session\'s High/Low after session closed', group=g10)
// ------------------------
// Drawing labels
// ------------------------
f_render_label (_show, Session data, _is_started, _color, _top, _bottom) =>
var label my_label = na
var int start_time = na
session = data.session()
v_position_y = (i_label_position_y == 'top') ? _top : _bottom
v_label = array.new_string()
v_chg = _top - _bottom
if _is_started
start_time := time
if i_label_format_name and not na(data.name)
array.push(v_label, data.name)
if i_label_format_day
array.push(v_label, util.get_day(dayofweek(start_time, i_tz)))
if i_label_format_price
array.push(v_label, str.format(fmt_price, v_chg))
if i_label_format_pips
array.push(v_label, str.format(fmt_pips, util.toPips(v_chg)))
if _show
if _is_started
my_label := label.new(bar_index, v_position_y, array.join(v_label, icon_separator), textcolor=_color, color=TRANSPARENT, size=i_label_size, style=i_label_position, tooltip='Pips')
array.push(data.labels, my_label)
util.clear_labels(data.labels, data.is_extended ? 1 : i_history_period)
else if session
label.set_y(my_label, v_position_y)
label.set_text(my_label, array.join(v_label, icon_separator))
data
// ------------------------
// Drawing Fibonacci levels
// ------------------------
f_render_fibonacci (_show, data, _is_started, _is_ended, _x1, _x2, _color, _top, _bottom, _level, _width, _style) =>
var line my_line = na
session = data.session()
if _show
y = (_top - _bottom) * _level + _bottom
if _is_started
my_line := line.new(_x1, y, _x2, y, width=_width, color=color.new(_color, 30), style=_style)
array.push(data.fib, my_line)
if data.is_extended
line.set_extend(my_line, extend.right)
else if session
line.set_y1(my_line, y)
line.set_y2(my_line, y)
f_set_line_x2(my_line, _x2)
else if _is_ended
f_set_line_x2(my_line, _x2-session_end_offset)
data
// ------------------------
// Drawing Opening range
// ------------------------
f_render_oprange (_show, Session data, _is_started, _is_ended, _x1, _x2, _color, _max) =>
var int start_time = na
var box my_box = na
var line my_line1 = na
var line my_line2 = na
var label my_label1 = na
var label my_label2 = na
var bool is_opened = false
var float R1 = na, var float R2 = na
var float S1 = na, var float S2 = na
var is_reached_R1 = false
var is_reached_R2 = false
var is_reached_S1 = false
var is_reached_S2 = false
var color_gray = ac.tradingview('gray')
var color_orange = ac.tradingview('orange')
var target_line_width = 2
session = data.session()
top = ta.highest(high, _max)
btm = ta.lowest(low, _max)
is_crossover = ta.crossover(close, box.get_top(my_box))
is_crossunder = ta.crossunder(close, box.get_bottom(my_box))
var float saved_top = na
if _show
if _is_started
util.clear_boxes(data.opr_boxes, math.max(0, i_history_period - 1))
util.clear_lines(data.opr_lines, math.max(0, (i_history_period - 1) * 6))
util.clear_labels(data.opr_labels, math.max(0, (i_history_period - 1) * 2))
start_time := time
my_box := na
is_opened := true
else if session
time_op = start_time + (i_o_minutes * 60 * 1000)
time_op_delay = time_op - f_get_time_by_bar(1)
if time <= time_op and time > time_op_delay
top_color = i_o_color == option_candle_color2 ? ac.tradingview('blue') : _color
btm_color = i_o_color == option_candle_color2 ? ac.tradingview('red') : _color
top_text_color = color.from_gradient(85, 0, 100, top_color, ac.panda('white'))
bot_text_color = color.from_gradient(85, 0, 100, btm_color, ac.panda('white'))
mdl = math.avg(top, btm)
avg1 = (data.price_range_avg * 0.786) * 0.5
avg2 = (data.price_range_avg * 1.272) * 0.5
saved_top := top
R1 := math.avg(btm, mdl) + avg1
R2 := math.avg(btm, mdl) + avg2
S1 := math.avg(top, mdl) - avg1
S2 := math.avg(top, mdl) - avg2
array.push(data.opr_boxes, box.new (_x1, top, bar_index, btm, border_width=0, bgcolor=color.new(_color, i_o_transp)))
array.push(data.opr_lines, line.new(_x1, top, _x2, top, style=line.style_dashed, color=top_color))
array.push(data.opr_lines, line.new(_x1, btm, _x2, btm, style=line.style_dashed, color=btm_color))
array.push(data.opr_lines, line.new(_x1, R2 , _x2, R2 , style=line.style_solid, color=i_o_target ? color.new(top_color, 40) : TRANSPARENT, width=target_line_width))
array.push(data.opr_lines, line.new(_x1, S2 , _x2, S2 , style=line.style_solid, color=i_o_target ? color.new(btm_color, 40) : TRANSPARENT, width=target_line_width))
array.push(data.opr_lines, line.new(_x1, R1 , _x2, R1 , style=line.style_solid, color=i_o_target ? color.new(top_color, 40) : TRANSPARENT, width=target_line_width))
array.push(data.opr_lines, line.new(_x1, S1 , _x2, S1 , style=line.style_solid, color=i_o_target ? color.new(btm_color, 40) : TRANSPARENT, width=target_line_width))
if i_o_target
array.unshift(data.opr_linefills, linefill.new(array.get(data.opr_lines, array.size(data.opr_lines)-1), array.get(data.opr_lines, array.size(data.opr_lines)-3), color.new(btm_color, 96))) // S
array.unshift(data.opr_linefills, linefill.new(array.get(data.opr_lines, array.size(data.opr_lines)-2), array.get(data.opr_lines, array.size(data.opr_lines)-4), color.new(top_color, 96))) // R
t1 = i_o_label_1 == 'price' ? str.tostring(top, format.mintick) : i_o_label_1
t2 = i_o_label_2 == 'price' ? str.tostring(btm, format.mintick) : i_o_label_2
my_label1 := label.new(_x1-1, top, t1, yloc=yloc.price, style=label.style_label_right, color=top_color, textcolor=top_text_color, size=i_o_size, tooltip=str.tostring(top, format.mintick))
my_label2 := label.new(_x1-1, btm, t2, yloc=yloc.price, style=label.style_label_right, color=btm_color, textcolor=bot_text_color, size=i_o_size, tooltip=str.tostring(btm, format.mintick))
array.push(data.opr_labels, my_label1)
array.push(data.opr_labels, my_label2)
array.push(data.opr_boxes , my_box)
if data.is_extended
box.set_extend(my_box, extend.right)
alert('Opening range is fixed.', alert.freq_once_per_bar)
else if is_opened
if ta.crossover(high, R1) and (not is_reached_R1)
is_reached_R1 := true
if i_o_breakout_icon
label.new(bar_index, high, '×', yloc=yloc.price, style=label.style_label_center, color=TRANSPARENT, textcolor=ac.tradingview('blue'), size=size.large)
if ta.crossover(high, R2) and (not is_reached_R2)
is_reached_R2 := true
if i_o_breakout_icon
label.new(bar_index, high, '×', yloc=yloc.price, style=label.style_label_center, color=TRANSPARENT, textcolor=ac.tradingview('blue'), size=size.large)
if ta.crossunder(low, S1) and (not is_reached_S1)
is_reached_S1 := true
if i_o_breakout_icon
label.new(bar_index, low, '×', yloc=yloc.price, style=label.style_label_center, color=TRANSPARENT, textcolor=ac.tradingview('red'), size=size.large)
if ta.crossunder(low, S2) and (not is_reached_S2)
is_reached_S2 := true
if i_o_breakout_icon
label.new(bar_index, low, '×', yloc=yloc.price, style=label.style_label_center, color=TRANSPARENT, textcolor=ac.tradingview('red'), size=size.large)
true
else
if is_crossover
alert('Price crossed over the opening range', alert.freq_once_per_bar)
if i_alert2_show
label.new(bar_index, box.get_top(my_box), "×", color=color.blue, textcolor=ac.tradingview('blue'), style=label.style_none, size=size.large)
if is_crossunder
alert('Price crossed under the opening range', alert.freq_once_per_bar)
if i_alert2_show
label.new(bar_index, box.get_bottom(my_box), "×", color=color.red, textcolor=ac.tradingview('red'), style=label.style_none, size=size.large)
else if _is_ended
if i_o_nowonly
util.clear_lines(data.opr_lines, 0)
util.clear_labels(data.opr_labels, 0)
util.clear_boxes(data.opr_boxes, 0)
else if array.size(data.opr_lines) > 0
for i = 0 to 5
the_line = array.get(data.opr_lines, array.size(data.opr_lines) - (i + 1))
line.set_x2(the_line, _x2-session_end_offset)
for i = 0 to 1
the_label = array.get(data.opr_labels, array.size(data.opr_labels) - (i + 1))
label.set_text(the_label, '●')
label.set_style(the_label, label.style_label_center)
label.set_textcolor(the_label, i_o_color == option_candle_color2 ? label.get_y(the_label) >= saved_top ? ac.tradingview('blue') : ac.tradingview('red') : _color)
label.set_color(the_label, TRANSPARENT)
label.set_size(the_label, size.tiny)
label.set_x(the_label,_x1)
data.op.total_count := data.op.total_count + 1
data.op.reached_count := (is_reached_R1 or is_reached_R2 or is_reached_S1 or is_reached_S2) ? data.op.reached_count + 1 : data.op.reached_count
data.op.reached_R1_count := is_reached_R1 ? data.op.reached_R1_count + session_end_offset : data.op.reached_R1_count
data.op.reached_R2_count := is_reached_R2 ? data.op.reached_R2_count + session_end_offset : data.op.reached_R2_count
data.op.reached_S1_count := is_reached_S1 ? data.op.reached_S1_count + session_end_offset : data.op.reached_S1_count
data.op.reached_S2_count := is_reached_S2 ? data.op.reached_S2_count + session_end_offset : data.op.reached_S2_count
// Reset
R1 := na, R2 := na, S1 := na, S2 := na
is_reached_R1 := false
is_reached_R2 := false
is_reached_S1 := false
is_reached_S2 := false
is_opened := false
saved_top := na
is_opened
data
// ------------------------
// Drawing candle
// ------------------------
f_render_candle (_show, Session data, _is_started, _is_ended, _color, _top, _bottom, _open, _x1, _x2) =>
var box body = na
var line wick1 = na
var line wick2 = na
session = data.session()
border_width = i_candle_border_width
cx = math.round(math.avg(_x2, _x1)) - math.round(border_width / 2)
body_color = i_candle_color == option_candle_color2 ? close > _open ? i_candle_color_g : i_candle_color_r : _color
body_color := color.new(body_color, 30)
if _show
if _is_started
body := box.new(_x1, _top, _x2, _bottom, body_color, border_width, line.style_solid, bgcolor=color.new(color.black, 100))
wick1 := i_show_candle_wick ? line.new(cx, _top, cx, _top, color=body_color, width=border_width, style=line.style_solid) : na
wick2 := i_show_candle_wick ? line.new(cx, _bottom, cx, _bottom, color=body_color, width=border_width, style=line.style_solid) : na
array.push(data.candle.body, body)
array.push(data.candle.wick, wick1)
array.push(data.candle.wick, wick2)
util.clear_boxes(data.candle.body, i_history_period)
util.clear_lines(data.candle.wick, i_history_period * 2)
else if session
top = math.max(_open, close)
bottom = math.min(_open, close)
box.set_top(body, top)
box.set_bottom(body, bottom)
box.set_right(body, _x2)
box.set_border_color(body, body_color)
line.set_y1(wick1, _top)
line.set_y2(wick1, top)
f_set_line_x1(wick1, cx)
f_set_line_x2(wick1, cx)
line.set_color(wick1, body_color)
line.set_y1(wick2, _bottom)
line.set_y2(wick2, bottom)
f_set_line_x1(wick2, cx)
f_set_line_x2(wick2, cx)
line.set_color(wick2, body_color)
else if _is_ended
box.set_right(body, bar_index-session_end_offset)
data
// ------------------------
// Rendering limit message
// ------------------------
f_render_limitmessage (_show, Session data, _is_started, _is_ended, _x, _y, _rightbars) =>
var label my_note = na
session = data.session()
if _show
if _is_started
if _rightbars > MAX_BARS
my_note := label.new(_x, _y, f_message_limit_bars(_rightbars), style=label.style_label_upper_left, color=color.yellow, textalign=text.align_left, yloc=yloc.price)
else if session
if _rightbars > MAX_BARS
label.set_y(my_note, _y)
label.set_text(my_note, f_message_limit_bars(_rightbars))
else
label.delete(my_note)
else if _is_ended
label.delete(my_note)
data
// Rendering session
//
f_render_sessionrange (_show, Session data, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_vertical = false) =>
var line above_line = na
var line below_line = na
session = data.session()
if _show
if _is_started
if _is_vertical
above_line := line.new(_x1, _top, _x1, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color)
below_line := line.new(_x2, _top, _x2, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color)
else
above_line := line.new(_x1, _top, _x2, _top, width=i_sess_border_width, style=i_sess_border_style, color=_color)
below_line := line.new(_x1, _bottom, _x2, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color)
linefill.new(above_line, below_line, color.new(_color, i_sess_bgopacity))
array.push(data.lines, above_line)
array.push(data.lines, below_line)
util.clear_lines(data.lines, data.is_extended ? 2 : i_history_period * 2)
if data.is_extended
if _is_vertical
line.set_extend(above_line, extend.both)
line.set_extend(below_line, extend.both)
else
line.set_extend(above_line, extend.right)
line.set_extend(below_line, extend.right)
else if session
if _is_vertical
line.set_y1(above_line, _bottom)
line.set_y2(above_line, _top)
line.set_y1(below_line, _bottom)
line.set_y2(below_line, _top)
else
line.set_y1(above_line, _top)
line.set_y2(above_line, _top)
line.set_x2(above_line, _x2)
line.set_y1(below_line, _bottom)
line.set_y2(below_line, _bottom)
line.set_x2(below_line, _x2)
else if _is_ended
if _is_vertical
line.set_x1(below_line, _x2-session_end_offset)
line.set_x2(below_line, _x2-session_end_offset)
else
line.set_x2(above_line, _x2-session_end_offset)
line.set_x2(below_line, _x2-session_end_offset)
data.add(_top - _bottom , i_info_period)
data
// ------------------------
// Rendering session box
// ------------------------
f_render_session (_show, Session data, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2) =>
var box my_box = na
session = data.session()
if _show
if _is_started
my_box := box.new(_x1, _top, _x2, _bottom, _color, i_sess_border_width, i_sess_border_style, bgcolor=color.new(_color, i_sess_bgopacity))
array.push(data.boxes, my_box)
util.clear_boxes(data.boxes, data.is_extended ? 1 : i_history_period)
if data.is_extended
box.set_extend(my_box, extend.right)
else if session
box.set_top(my_box, _top)
box.set_bottom(my_box, _bottom)
f_set_box_right(my_box, _x2)
else if _is_ended
box.set_right(my_box, bar_index-session_end_offset)
data.add(_top - _bottom , i_info_period)
data
f_render_dots (_show, Session data, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2) =>
var float _open = na
var box oc_box = na
var line oc_line_u = na
var line oc_line_l = na
session = data.session()
if _show and i_sess_box_dots
if _is_started
oc_line_u := line.new(_x1, open , _x2, open , color=color.new(_color, 70), style=line.style_dotted)
oc_line_l := line.new(_x1, close, _x2, close, color=color.new(_color, 70), style=line.style_dotted)
linefill.new(oc_line_u, oc_line_l, color.new(_color, i_sess_bgopacity2))
array.push(data.oclines, oc_line_u)
array.push(data.oclines, oc_line_l)
util.clear_lines(data.oclines, data.is_extended ? 2 : i_history_period * 2)
util.clear_labels(data.oc_labels, data.is_extended ? 2 : math.max(0, (i_history_period - 1) * 2))
_open := open
else if session
line.set_x2(oc_line_u, _x2)
line.set_x2(oc_line_l, _x2)
line.set_y1(oc_line_l, close)
line.set_y2(oc_line_l, close)
else if _is_ended
array.push(data.oc_labels, Dot.new(_x1, _open, '●', _color).create())
array.push(data.oc_labels, Dot.new(_x2-session_end_offset, close , '◉', _color).create())
line.set_x2(oc_line_u, _x2-session_end_offset)
line.set_x2(oc_line_l, _x2-session_end_offset)
line.set_y1(oc_line_l, close )
line.set_y2(oc_line_l, close )
_open := na
true
// ------------------------
// Drawing market
// ------------------------
f_render_main (_show, Session data, _is_started, _is_ended, _color, _top, _bottom) =>
var x1 = 0
var x2 = 0
x2_offset = 1
session = data.session()
x0_1 = ta.valuewhen(na(session ) and session, bar_index, 1)
x0_2 = ta.valuewhen(na(session) and session , bar_index, 0)
x0_d = math.min(math.abs(x0_2 - x0_1), MAX_BARS)
rightbars = x0_d
if _show
if _is_started
x1 := bar_index
x2 := bar_index + x0_d
data.ohlc.open := open
data.ohlc.high := _top
data.ohlc.low := _bottom
data.ohlc.hl := _top -_bottom
data.in_session := true
else if session
true_x2 = x1 + x0_d
rightbars := true_x2 - bar_index
max_bars = bar_index + MAX_BARS
x2 := math.min(true_x2, max_bars)
data.ohlc.high := _top
data.ohlc.low := _bottom
data.ohlc.hl := _top - _bottom
else if _is_ended
data.in_session := false
data.ohlc.open := na
// ------------------------
// Drawing
// ------------------------
draw (_show, Session data, _extend, _show_fib, _show_op) =>
session = data.session()
max = f_get_period(session, 1, i_lookback)
top = ta.highest(high, max)
bottom = ta.lowest(low, max)
col = data.colour
is_started = f_get_started(session)
is_ended = f_get_ended(session)
= f_render_main(_show, data, is_started, is_ended, col, top, bottom)
if i_sess_box_style == 'Box' or i_sess_box_style == 'Background' or i_sess_box_style == 'Candle'
f_render_session(_show, data, is_started, is_ended, col, top, bottom, x1, x2)
f_render_dots(_show, data, is_started, is_ended, col, top, bottom, x1, x2)
else if i_sess_box_style == 'Hamburger'
f_render_sessionrange(_show, data, is_started, is_ended, col, top, bottom, x1, x2)
else if i_sess_box_style == 'Sandwich'
f_render_sessionrange(_show, data, is_started, is_ended, col, top, bottom, x1, x2, true)
if i_show_candle
f_render_candle(_show, data, is_started, is_ended, col, top, bottom, ohlc.open, x1, x2)
if i_label_show
f_render_label(_show, data, is_started, col, top, bottom)
if _show_op
f_render_oprange(_show, data, is_started, is_ended, x1, x2, col, max)
if _show_fib
f_render_fibonacci(_show, data, is_started, is_ended, x1, x2, col, top, bottom, 0.500, 2, line.style_solid)
f_render_fibonacci(_show, data, is_started, is_ended, x1, x2, col, top, bottom, 0.628, i_f_linewidth, i_f_linestyle)
f_render_fibonacci(_show, data, is_started, is_ended, x1, x2, col, top, bottom, 0.382, i_f_linewidth, i_f_linestyle)
util.clear_lines(data.fib, i_history_period * 3)
f_render_limitmessage(_show, data, is_started, is_ended, x1, bottom, _rightbars)
///////////////////
// Calculating
///////////////////
string tz = (i_tz == option_no or i_tz == '') ? na : i_tz
///////////////////
// Plotting
///////////////////
var sess1_data = Session.new(i_sess1, tz, i_sess1_label, i_sess1_color).create(i_sess1_extend, i_sess1_fib, i_sess1_op)
var sess2_data = Session.new(i_sess2, tz, i_sess2_label, i_sess2_color).create(i_sess2_extend, i_sess2_fib, i_sess2_op)
var sess3_data = Session.new(i_sess3, tz, i_sess3_label, i_sess3_color).create(i_sess3_extend, i_sess3_fib, i_sess3_op)
var sess4_data = Session.new(i_sess4, tz, i_sess4_label, i_sess4_color).create(i_sess4_extend, i_sess4_fib, i_sess4_op)
var sess5_data = Session.new(i_sess5, tz, i_sess5_label, i_sess5_color).create(i_sess5_extend, i_sess5_fib, i_sess5_op)
= draw(i_show_sess1, sess1_data, i_sess1_extend, i_sess1_fib, i_sess1_op)
= draw(i_show_sess2, sess2_data, i_sess2_extend, i_sess2_fib, i_sess2_op)
= draw(i_show_sess3, sess3_data, i_sess3_extend, i_sess3_fib, i_sess3_op)
= draw(i_show_sess4, sess4_data, i_sess4_extend, i_sess4_fib, i_sess4_op)
= draw(i_show_sess5, sess5_data, i_sess5_extend, i_sess5_fib, i_sess5_op)
is_positive_bar = close > open
color c_barcolor = na
color c_plotcandle = na
c_sess1_barcolor = (is_sess1) ? (is_positive_bar ? i_sess1_barcolor1 : i_sess1_barcolor2) : na
c_sess2_barcolor = (is_sess2) ? (is_positive_bar ? i_sess2_barcolor1 : i_sess2_barcolor2) : na
c_sess3_barcolor = (is_sess3) ? (is_positive_bar ? i_sess3_barcolor1 : i_sess3_barcolor2) : na
c_sess4_barcolor = (is_sess4) ? (is_positive_bar ? i_sess4_barcolor1 : i_sess4_barcolor2) : na
c_sess5_barcolor = (is_sess5) ? (is_positive_bar ? i_sess5_barcolor1 : i_sess5_barcolor2) : na
if (i_sess1_chart != option_chart_x) and is_sess1
c_barcolor := i_sess1_barcolor ? c_sess1_barcolor : na
c_plotcandle := i_sess1_plotcandle ? c_sess1_barcolor : na
if (i_sess2_chart != option_chart_x) and is_sess2
c_barcolor := i_sess2_barcolor ? c_sess2_barcolor : na
c_plotcandle := i_sess2_plotcandle ? c_sess2_barcolor : na
if (i_sess3_chart != option_chart_x) and is_sess3
c_barcolor := i_sess3_barcolor ? c_sess3_barcolor : na
c_plotcandle := i_sess3_plotcandle ? c_sess3_barcolor : na
if (i_sess4_chart != option_chart_x) and is_sess4
c_barcolor := i_sess4_barcolor ? c_sess4_barcolor : na
c_plotcandle := i_sess4_plotcandle ? c_sess4_barcolor : na
if (i_sess5_chart != option_chart_x) and is_sess5
c_barcolor := i_sess5_barcolor ? c_sess5_barcolor : na
c_plotcandle := i_sess5_plotcandle ? c_sess5_barcolor : na
barcolor(c_barcolor)
plotcandle(open, high, low, close, color=is_positive_bar ? TRANSPARENT : c_plotcandle, bordercolor=c_plotcandle, wickcolor=c_plotcandle)
////////////////////
// Alerts
////////////////////
// Session alerts
sess1_started = is_sess1 and not is_sess1 , sess1_ended = not is_sess1 and is_sess1
sess2_started = is_sess2 and not is_sess2 , sess2_ended = not is_sess2 and is_sess2
sess3_started = is_sess3 and not is_sess3 , sess3_ended = not is_sess3 and is_sess3
sess4_started = is_sess4 and not is_sess4 , sess4_ended = not is_sess4 and is_sess4
sess5_started = is_sess5 and not is_sess5 , sess5_ended = not is_sess5 and is_sess5
alertcondition(sess1_started, 'Session #1 started')
alertcondition(sess1_ended, 'Session #1 ended' )
alertcondition(sess2_started, 'Session #2 started')
alertcondition(sess2_ended, 'Session #2 ended' )
alertcondition(sess3_started, 'Session #3 started')
alertcondition(sess3_ended, 'Session #3 ended' )
alertcondition(sess4_started, 'Session #4 started')
alertcondition(sess4_ended, 'Session #4 ended' )
alertcondition(sess5_started, 'Session #5 started')
alertcondition(sess5_ended, 'Session #5 ended' )
alertcondition((not is_sess1) and ta.crossover (close, sess1_ohlc.high), 'Session #1 High crossed (after session closed)')
alertcondition((not is_sess1) and ta.crossunder(close, sess1_ohlc.low) , 'Session #1 Low crossed (after session closed)' )
alertcondition((not is_sess2) and ta.crossover (close, sess2_ohlc.high), 'Session #2 High crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossunder(close, sess2_ohlc.low) , 'Session #2 Low crossed (after session closed)' )
alertcondition((not is_sess3) and ta.crossover (close, sess3_ohlc.high), 'Session #3 High crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossunder(close, sess3_ohlc.low) , 'Session #3 Low crossed (after session closed)' )
alertcondition((not is_sess4) and ta.crossover (close, sess4_ohlc.high), 'Session #4 High crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossunder(close, sess4_ohlc.low) , 'Session #4 Low crossed (after session closed)' )
alertcondition((not is_sess5) and ta.crossover (close, sess5_ohlc.high), 'Session #5 High crossed (after session closed)')
alertcondition((not is_sess5) and ta.crossunder(close, sess5_ohlc.low) , 'Session # Low crossed (after session closed)' )
// Alerts visualized
if i_alert1_show
if i_show_sess1
if sess1_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess1_ended
label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess2
if sess2_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess2_ended
label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess3
if sess3_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess3_ended
label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess4
if sess4_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess4_ended
label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if i_show_sess5
if sess5_started
label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
if sess5_ended
label.new(bar_index - session_end_offset, close, 'End' , yloc=yloc.abovebar, color=i_sess5_color, textcolor=color_text, size=size.small, style=label.style_label_down)
plot(i_alert3_show ? sess1_ohlc.high : na, 'sess1_high', style=plot.style_linebr, color=i_sess1_color)
plot(i_alert3_show ? sess1_ohlc.low : na, 'sess1_low' , style=plot.style_linebr, color=i_sess1_color, linewidth=2)
plot(i_alert3_show ? sess2_ohlc.high : na, 'sess2_high', style=plot.style_linebr, color=i_sess2_color)
plot(i_alert3_show ? sess2_ohlc.low : na, 'sess2_low' , style=plot.style_linebr, color=i_sess2_color, linewidth=2)
plot(i_alert3_show ? sess3_ohlc.high : na, 'sess3_high', style=plot.style_linebr, color=i_sess3_color)
plot(i_alert3_show ? sess3_ohlc.low : na, 'sess3_low' , style=plot.style_linebr, color=i_sess3_color, linewidth=2)
plot(i_alert3_show ? sess4_ohlc.high : na, 'sess4_high', style=plot.style_linebr, color=i_sess4_color)
plot(i_alert3_show ? sess4_ohlc.low : na, 'sess4_low' , style=plot.style_linebr, color=i_sess4_color, linewidth=2)
plot(i_alert3_show ? sess5_ohlc.high : na, 'sess5_high', style=plot.style_linebr, color=i_sess5_color)
plot(i_alert3_show ? sess5_ohlc.low : na, 'sess5_low' , style=plot.style_linebr, color=i_sess5_color, linewidth=2)
plotshape(i_alert3_show and (not is_sess1) and ta.crossover (close, sess1_ohlc.high) ? sess1_ohlc.high : na, 'cross sess1_high', color=i_sess1_color, style=shape.triangleup , location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess1) and ta.crossunder(close, sess1_ohlc.low) ? sess1_ohlc.low : na, 'cross sess1_low' , color=i_sess1_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess2) and ta.crossover (close, sess2_ohlc.high) ? sess2_ohlc.high : na, 'cross sess2_high', color=i_sess2_color, style=shape.triangleup , location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess2) and ta.crossunder(close, sess2_ohlc.low) ? sess2_ohlc.low : na, 'cross sess2_low' , color=i_sess2_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess3) and ta.crossover (close, sess3_ohlc.high) ? sess3_ohlc.high : na, 'cross sess3_high', color=i_sess3_color, style=shape.triangleup , location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess3) and ta.crossunder(close, sess3_ohlc.low) ? sess3_ohlc.low : na, 'cross sess3_low' , color=i_sess3_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess4) and ta.crossover (close, sess4_ohlc.high) ? sess4_ohlc.high : na, 'cross sess4_high', color=i_sess4_color, style=shape.triangleup , location=location.absolute, size=size.tiny)
plotshape(i_alert3_show and (not is_sess4) and ta.crossunder(close, sess4_ohlc.low) ? sess4_ohlc.low : na, 'cross sess4_low' , color=i_sess4_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
//////////////
// Analysis //
var text_color = #e1e2e4
var bgcolor = #1a1c20
var color_green = ac.monokai('green')
var color_orange = ac.monokai('orange')
var color_red = ac.monokai('red')
var color_ind_green = ac.tradingview('green')
var color_ind_gray = color.new(ac.tradingview('gray'), 30)
var color_white = #e1e2e4
i_show_op_analysis = false//input.bool(true, 'Opening range table')
i_show_analysis2 = false//input.bool(false)
if i_show_info and barstate.islast
data = array.new()
if array.size(sess1_data.price_ranges) > 0
data.push(sess1_data)
if array.size(sess2_data.price_ranges) > 0
data.push(sess2_data)
if array.size(sess3_data.price_ranges) > 0
data.push(sess3_data)
if array.size(sess4_data.price_ranges) > 0
data.push(sess4_data)
var tbl_avg = table.new(position.top_right, 5, 5, frame_width=2, bgcolor=bgcolor, frame_color=#25272c, border_width=1, border_color=#25272c)
table.cell(tbl_avg, 0, 0, 'Session', text_color=color.new(text_color, 60), text_size=i_info_size, text_halign=text.align_center)
table.cell(tbl_avg, 1, 0, '', text_color=color.new(text_color, 60), text_size=i_info_size)
table.cell(tbl_avg, 2, 0, 'Cur', text_color=color.new(text_color, 60), text_size=i_info_size)
table.cell(tbl_avg, 3, 0, 'Avg('+str.tostring(i_info_period)+')', text_color=color.new(text_color, 60), text_size=i_info_size)
table.cell(tbl_avg, 4, 0, '%', text_color=color.new(text_color, 60), text_size=i_info_size)
table.merge_cells(tbl_avg, 0, 0, 1, 0)
if array.size(data) > 0
for i = 0 to array.size(data) - 1
my_data = array.get(data, i)
in_session = my_data.in_session and session.ismarket
p = my_data.ohlc.hl / my_data.price_range_avg
col_cur = p < 0.75 ? color_green : p < 1.25 ? color_orange : color_red
v1 = i_info_value_type == 'Price' ? str.tostring(my_data.ohlc.hl, format.mintick) : str.tostring(util.toPips(my_data.ohlc.hl), '#.#')
v2 = i_info_value_type == 'Price' ? str.tostring(my_data.price_range_avg, format.mintick) : str.tostring(util.toPips(my_data.price_range_avg), '#.#')
v3 = in_session ? '◉' : '●'
color_name = in_session ? color_white : color.new(ac.monokai('gray'), 30)
color_ind = in_session ? color_ind_green : color_ind_gray
color_cur = in_session ? col_cur : color.new(col_cur, 60)
table.cell(tbl_avg, 0, i + 1, my_data.name, text_color=color_name, text_size=i_info_size, text_halign=text.align_left)
table.cell(tbl_avg, 1, i + 1, v3, text_color=color_ind , text_size=size.tiny, text_halign=text.align_center, text_valign=text.align_center)
table.cell(tbl_avg, 2, i + 1, v1, text_color=color_cur , text_size=i_info_size, text_halign=text.align_right, text_font_family=font.family_monospace)
table.cell(tbl_avg, 3, i + 1, v2, text_color=color_name, text_size=i_info_size, text_halign=text.align_right, text_font_family=font.family_monospace)
table.cell(tbl_avg, 4, i + 1, str.format('{0,number,percent}', p), text_color=color_cur, text_size=i_info_size, text_halign=text.align_right, text_font_family=font.family_monospace)
if i_show_op_analysis and (barstate.islast or barstate.isconfirmed)
data = array.new()
if sess1_data.op.reached_count > 0
array.unshift(data, sess1_data)
if sess2_data.op.reached_count > 0
array.unshift(data, sess2_data)
if sess3_data.op.reached_count > 0
array.unshift(data, sess3_data)
if sess4_data.op.reached_count > 0
array.unshift(data, sess4_data)
var tbl_op = table.new(position.bottom_right, 7, 5, frame_width=2, bgcolor=bgcolor, frame_color=#25272c, border_width=1, border_color=#25272c)
table.cell(tbl_op, 0, 0, 'Opening range' + (array.size(data) == 0 ? ' (No data)' : ''), text_size=i_info_size)
table.merge_cells(tbl_op, 0, 0, 6, 0)
if array.size(data) > 0
table.cell(tbl_op, 0, 1, 'Session', text_size=i_info_size)
table.cell(tbl_op, 1, 1, 'Sum', text_size=i_info_size)
table.cell(tbl_op, 2, 1, 'R1', text_size=i_info_size)
table.cell(tbl_op, 3, 1, 'S1', text_size=i_info_size)
table.cell(tbl_op, 4, 1, 'R2', text_size=i_info_size)
table.cell(tbl_op, 5, 1, 'S2', text_size=i_info_size)
table.cell(tbl_op, 6, 1, 'Total', text_size=i_info_size)
row_index = 2
for i = 0 to array.size(data) -1
my_data = array.get(data, i)
table.cell(tbl_op, 0, row_index + i, my_data.name, text_size=i_info_size, text_color=color_white, text_halign=text.align_left)
table.cell(tbl_op, 1, row_index + i, str.format('{0,number,percent}', my_data.op.reached_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size)
table.cell(tbl_op, 2, row_index + i, str.format('{0,number,percent}', my_data.op.reached_R1_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size)
table.cell(tbl_op, 3, row_index + i, str.format('{0,number,percent}', my_data.op.reached_S1_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size)
table.cell(tbl_op, 4, row_index + i, str.format('{0,number,percent}', my_data.op.reached_R2_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size)
table.cell(tbl_op, 5, row_index + i, str.format('{0,number,percent}', my_data.op.reached_S2_count / my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size)
table.cell(tbl_op, 6, row_index + i, str.tostring(my_data.op.total_count), text_font_family=font.family_monospace, text_halign=text.align_right, text_color=color_white, text_size=i_info_size)
if i_show_analysis2 and barstate.islast
max = 100
g_base = ta.lowest(max)
s3_count = 0
s2_count = 0
var g_lines = array.new()
x = bar_index + 20
util.clear_lines(g_lines, 0)
array.push(g_lines, line.new(x + 0, g_base, x + 0, g_base + sess1_data.price_range_avg, color=sess1_data.colour, width=3))
array.push(g_lines, line.new(x + 2, g_base, x + 2, g_base + sess2_data.price_range_avg, color=sess2_data.colour, width=3))
array.push(g_lines, line.new(x + 4, g_base, x + 4, g_base + sess3_data.price_range_avg, color=sess3_data.colour, width=3))
array.push(g_lines, line.new(x + 6, g_base, x + 6, g_base + sess4_data.price_range_avg, color=sess4_data.colour, width=3))
if array.size(sess1_data.price_ranges) > 0 and array.size(sess3_data.price_ranges) > 0
for i = 0 to array.size(sess1_data.price_ranges) - 1
s1 = array.get(sess1_data.price_ranges, i)
s3 = array.get(sess3_data.price_ranges, i)
if s3 / s1 > 1
s3_count := s3_count + 1
tbl = table.new(position.bottom_right, 3, 3, frame_width=2, bgcolor=bgcolor, frame_color=#25272c, border_width=1, border_color=#25272c)
table.cell(tbl, 0, 0, sess3_data.name + ' > ' + sess1_data.name, text_color=#e1e2e4)
table.cell(tbl, 1, 0, str.tostring(s3_count) + ' / ' + str.tostring(array.size(sess1_data.price_ranges)), text_color=#e1e2e4)
table.cell(tbl, 2, 0, str.format('{0,number,percent}', s3_count / array.size(sess1_data.price_ranges) ), text_color=#e1e2e4)
table.cell(tbl, 0, 1, syminfo.ticker + '('+ syminfo.currency +')', text_color=#e1e2e4)
table.merge_cells(tbl, 0, 1, 2, 1)
// --- Input Definitions ---
range_start_hour = input.int(4, "Range Start Hour", group="START", inline="start", minval=0, maxval=23)
range_start_minute = input.int(0, "Minutes", group="START", inline="start", minval=0, maxval=59)
range_end_hour = input.int(12, "Range End Hour", group="END", inline="end", minval=0, maxval=23)
range_end_minute = input.int(0, "Minutes", group="END", inline="end", minval=0, maxval=59)
timezone_offset_hours = input.int(0, "Timezone UTC Offset Hours", group="Time Zone Offset", minval=-12, maxval=14)
timezone_offset_minutes = input.int(0, "Timezone UTC Offset Minutes", group="Time Zone Offset", minval=-59, maxval=59)
count = input(3, "Count")
colorTop = input(color.green, "Top Color", group="STYLING")
colorBetween = input(color.new(color.gray, 50), "Between Color", group="STYLING")
colorBottom = input(color.red, "Bottom Color", group="STYLING")
colorRange = input(color.blue, "Range Color", group="STYLING")
rangeIsDotted = input(true, "Dash Line Style For The Range", group="STYLING")
plot_mid = input(true, "Plot Mid Lines")
close_to_close = input(false, "Close To Close (instead of low to high distance)")
// --- Variable Initialization ---
var float range_high = na
var float range_low = na
var float distance = na
var int startIDX = na
// Function to calculate adjusted time based on timezone offset
getAdjustedTime(hour, minute, offset_hours, offset_minutes) =>
total_minutes = hour * 60 + minute + offset_hours * 60 + offset_minutes
// Function to normalize time to minutes from the start of the week
normalizeTimeToWeek(hour, minute) =>
(dayofweek - 1) * 24 * 60 + hour * 60 + minute
// Adjusted Time Calculations
= getAdjustedTime(range_start_hour, range_start_minute, timezone_offset_hours, timezone_offset_minutes)
= getAdjustedTime(range_end_hour, range_end_minute, timezone_offset_hours, timezone_offset_minutes)
// Normalize times to minutes from the start of the week
start_time_minutes = normalizeTimeToWeek(adjusted_start_hour, adjusted_start_minute)
end_time_minutes = normalizeTimeToWeek(adjusted_end_hour, adjusted_end_minute)
// Adjust the end time if the range spans over midnight
if adjusted_start_hour > adjusted_end_hour or (adjusted_start_hour == adjusted_end_hour and adjusted_start_minute > adjusted_end_minute)
end_time_minutes := end_time_minutes + 7 * 24 * 60 // Add 7 days worth of minutes
// Current time normalized to minutes from the start of the week
current_time_minutes = normalizeTimeToWeek(hour, minute)
// Detect if the current time is before the start of the week normalized time
if current_time_minutes < start_time_minutes
current_time_minutes := current_time_minutes + 7 * 24 * 60 // Adjust for new week
// Determine if we are in the plotting range
isInRange = current_time_minutes >= start_time_minutes and current_time_minutes <= end_time_minutes
// Main Logic
if isInRange
if na(range_high) // If this is the first bar to plot
startIDX := bar_index
range_high := close_to_close ? close : high
range_low := close_to_close ? close : low
else
range_high := math.max(range_high, close_to_close ? close : high)
range_low := math.min(range_low, close_to_close ? close : low)
distance := range_high - range_low
else if not na(range_high) // If we have completed the range
// Draw the range lines
line.new(startIDX, range_high, bar_index , range_high, xloc=xloc.bar_index, style=rangeIsDotted ? line.style_dashed : line.style_solid, color=colorRange)
line.new(startIDX, range_low, bar_index , range_low, xloc=xloc.bar_index, style=rangeIsDotted ? line.style_dashed : line.style_solid, color=colorRange)
// Draw additional lines based on the count input
for i = 1 to count
line.new(startIDX, range_high + i * distance, bar_index , range_high + i * distance, xloc=xloc.bar_index, style=line.style_solid, color=colorTop)
line.new(startIDX, range_low - i * distance, bar_index , range_low - i * distance, xloc=xloc.bar_index, style=line.style_solid, color=colorBottom)
if plot_mid
line.new(startIDX, range_high + (i - 0.5) * distance, bar_index , range_high + (i - 0.5) * distance, xloc=xloc.bar_index, style=line.style_dashed, color=colorBetween)
line.new(startIDX, range_low - (i - 0.5) * distance, bar_index , range_low - (i - 0.5) * distance, xloc=xloc.bar_index, style=line.style_dashed, color=colorBetween)
// Reset the variables after plotting
range_high := na
range_low := na
distance := na
startIDX := na
Ichi+QLine+DLine+TenkShift+RoadCross+5MAs V2.1Previous Version of Full Ichi...
Many of my old friends had requested that I re-upload the full Ichimoku indicator on TradingView, which unfortunately was removed from the platform two years ago due to some of TradingView's strict policies. Now, I’m making this indicator available again with the updated version of Pine Script.
London Session High/LowPoints to the high and low of london session. Use this to show you the high and low of the session.
Custom MACD with Distance (Table Format)just added a calculation distance on macd line and signal line
ROC with AveragesMain Idea
This script provides traders with a comprehensive view of market momentum by calculating the Rate of Change (ROC) and categorizing its impact into averages of positive, negative, and total values.
Key Features
Rate of Change (ROC) Calculation: Measures the percentage change in closing prices over a user-defined period.
Categorical Averages:
Positive Average: Average ROC for upward movements.
Negative Average: Average ROC for downward movements.
Total Average: Aggregate average across all movements.
Dynamic Visualization: Plots ROC alongside its categorized averages for better trend analysis.
Benefits
Simplifies the evaluation of market trends by breaking down data into actionable insights.
Helps traders identify the strength of upward or downward movements.
Offers a clear visual representation for quick decision-making.
This structure highlights the purpose and value of the script while aligning with the Minto Pyramid Principle. Let me know if you'd like further refinements!
الفكرة الرئيسية
يوفر هذا السكربت للمتداولين رؤية شاملة لزخم السوق من خلال حساب معدل التغير (ROC) وتصنيفه إلى متوسطات القيم الإيجابية والسلبية والإجمالية.
المميزات الرئيسية
حساب معدل التغير (ROC): يقيس النسبة المئوية للتغير في أسعار الإغلاق خلال فترة محددة يختارها المستخدم.
المتوسطات التصنيفية:
المتوسط الإيجابي: متوسط معدل التغير للحركات الصعودية.
المتوسط السلبي: متوسط معدل التغير للحركات الهبوطية.
المتوسط الإجمالي: متوسط إجمالي يشمل جميع الحركات.
تصور ديناميكي: يعرض معدل التغير إلى جانب المتوسطات المصنفة لتسهيل تحليل الاتجاهات.
الفوائد
يبسط تقييم اتجاهات السوق من خلال تقسيم البيانات إلى رؤى قابلة للتنفيذ.
يساعد المتداولين على تحديد قوة الحركات الصعودية أو الهبوطية.
يقدم تمثيلاً بصرياً واضحاً لاتخاذ قرارات سريعة ودقيقة.
5SMA W/TrendTrend Filter for identifying 5 day trend based on direction of moving averages and price.
Altered - Boltzmann For LoopThe original script can be found at
New Additions
- A neutral score
- More versatile scoring mechanism