Scalping The Bull IndicatorName: Scalping The Bull Indicator
Category: Scalping, Trend Following, Mean Reversion.
Timeframe: 1M, 5M, 30M, 1D depending on the specific technique.
Technical Analysis: The indicator supports the operations of the trader named "Scalping The Bull" which uses price action and exponential moving averages.
Suggested usage: Altcoin showing strong trends for scalping and intra-day trades. Trigger points are used as entry and exit points and to be used to understand when a signal has more power.
It is possible to identify the following conformations:
Shimano: look at the price records of a consecutive series of closings between the EMA 60 and the EMA 223 when a certain threshold is reached. Use the trigger points as price structures to identify entry and exit zones (e.g. breakout of the yesterday high as for entry point) .
Bomb: look at the price registers a percentage variation in a single candle, greater than a threshold such as 2%, in particular on shorter timeframes and around the trigger points.
Viagra: look at there is a consecutive series of closes below the EMA 10.
Downward fake: look when, after a cross under (Death Cross), the price returns above the EMA 223 using the yesterday high as a trigger point.
Emergence: look at the EMA 60 is about to cross over the EMA 223.
Anti-crossing: look at, after an important price rise and a subsequent retracement, the EMA 60 is about to cross under the EMA 223 but a bullish impulse brings the price back above the EMAs.
For Sales: look at two types of situations: 1) when the price falls by more than 10% from the opening price and around the yesterday’s low or 2) when the price falls and then reaches, in the last 5 days, a bigger percentage and then breaks a trigger point.
Colour change: look at the opening price of the session - indicated as a trigger point.
Third touch of EMA 60: look for 3 touches below the EMA 60, and enter when there is a close above the EMA 60.
Third touch of EMA 223: look for 3 touches when there are 3 touches below the EMA 223, and enter when there is a close above the EMA 60.
Bud: look at price when it crosses upwards the average 10 and subsequently at least 2 "rest" candles are between the maximum and minimum of the breaking candle.
Fake on EMA 10: look for the open of a candle higher than the EMA 10, the minimum of the candle lower and the closing price returns above the EMA 10..
For Stop Loss and Profit Targets consider a proper R/R depending on Risk Management, using price structures such as the low of the entering candle and a quick Position Management moving quickly the Stop-Loss at Break-Even.
Configuration:
Market
EMA: The indicator automatically configure itself on market it knows (Binance, Piazza Affari and NASDAQ) otherwise it can be configured manually fo Crypto market (5/10/60/223) or Stock Market (5/10/50/200).
Additional Average: You can display an additional average, e.g. 20-period average.
Chart elements:
Session Separators: indicates the beginning of the current session (in blue)
Background: signals with the background in green an uptrend situation ( 60 > 223) and in red background a downtrend situation (60 < 223).
Trigger points:
Today's highs and lows: draw on the chart the opening price of the daily candle and the highs and lows of the day (high in purple, low in red and open in green)
Yesterday's highs and lows: draw on the chart the opening price of the daily candle, the highs and lows of the previous day (high in yellow, low in red).
Credits
Massimo : for refactoring and suggestions.
Komut dosyalarını "high low" için ara
PivotsLibrary "Pivots"
This Library focuses in functions related to pivot highs and lows and some of their applications (i.e. divergences, zigzag, harmonics, support and resistance...)
pivots(srcH, srcL, length) Delivers series of pivot highs, lows and zigzag.
Parameters:
srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'
srcL : Source series to look for pivot lows. By default 'low'
length : This value represents the minimum number of candles between pivots. The lower the number, the more detailed the pivot profile. The higher the number, the more relevant the pivots. By default 10
Returns:
zigzagArray(pivotHigh, pivotLow) Delivers a Zigzag series based on alternating pivots. Ocasionally this line could paint a few consecutive lows or highs without alternating. That happens because it's finding a few consecutive Higher Highs or Lower Lows. If to use lines entities instead of series, that could be easily avoided. But in this one, I'm more interested outputting series rather than painting/deleting line entities.
Parameters:
pivotHigh : Pivot high series
pivotLow : Pivot low series
Returns:
zigzagLine(srcH, srcL, colorLine, widthLine) Delivers a Zigzag based on line entities.
Parameters:
srcH : Source series to look for pivot highs. Stricter applications might source from 'close' prices. Oscillators are also another possible source to look for pivot highs and lows. By default 'high'
srcL : Source series to look for pivot lows. By default 'low'
colorLine : Color of the Zigzag Line. By default Fuchsia
widthLine : Width of the Zigzag Line. By default 4
Returns: Zigzag printed on screen
divergence(h2, l2, h1, l1, length) Calculates divergences between 2 series
Parameters:
h2 : Series in which to locate divs: Highs
l2 : Series in which to locate divs: Lows
h1 : Series in which to locate pivots: Highs. By default high
l1 : Series in which to locate pivots: Lows. By default low
length : Length used to calculate Pivots: By default 10
Returns:
Double Top/BottomHere is an attempt to identify double top/bottom based on pivot high/lows.
Logic is simple.
Double Bottom:
Last two pivot High Lows make W shape
Last Pivot Low is higher than previous Last Pivot Low.
Last Pivot High is lower than previous last Pivot High.
Price has not gone below Last Pivot Low
Price breaks out of last Pivot High to complete W shape
Double Top:
Last two pivot High Lows make M shape
Last Pivot Low is higher than previous Last Pivot Low.
Last Pivot High is lower than previous last Pivot High.
Price has not gone above Last Pivot High
Price breaks out of last Pivot Low to complete M shape
Prameters:
Parameters PvtLenL , PvtLenR and waitforclose determines pivot points.
FilterPivots clears repetitive pivots formed in same direction before calculating the possible double top/bottom.
For example:
CheckForAbsolutePeaks and AbsolutePeakLoopback works together. When CheckForAbsolutePeaks is enabled, script only generates double bottom or top signal if previous last pivot is absolute high or low for AbsolutePeakLoopback periods.
ConsiderMovingAverage does two things. First, it makes sure that fast moving average and slow moving averages are aligned with the direction we are going to forecast. Second, it makes sure that the crossover happend recently and with last BarCrossoverLimit bars. For example, to call it double bottom, Fast MA should be higher than Slow MA and crossover of FastMA above SlowMA should have happened in last 10 bars (BarCrossoverLimit)
PivotDisplayMode can be Actual, Filtered or None. Actual will display all pivot high low generated. Filtered will only display last 5 pivot high and pivot lows which are filtered . That means, it will remove the repetitive pivots formed without making pivots on the other side.
Welcome and suggestions and feedbacks.
HSM KILLZONE//@version=5
indicator('HSM KILLZONE', 'HSM KILLZONE', overlay=true, max_bars_back=500, explicit_plot_zorder=true)
import boitoki/AwesomeColor/4 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'
g4 = 'BOX'
g6 = 'LABELS'
g5 = 'OPENING RANGE'
g7 = 'FIBONACCI LEVELS'
g8 = 'OPTIONS'
g11 = 'CANDLE'
g10 = 'Alerts visualized'
///////////////
// 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'
fmt_price = '{0,number,#.#####}'
fmt_pips = '{0,number,#.#}'
icon_separator = ' • '
color_none = color.new(color.black, 100)
color_text = color.new(color.white, 0)
///////////////
// 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-4', title='Timezone', options= , tooltip='e.g. \'America/New_York\', \'Asia/Tokyo\', \'GMT-4\', \'GMT+9\'...', 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('New York AM', '', group=g1_01, inline='session1_1')
i_sess1_color = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1_barcolor1 = input.color(#0a0a0a, '•', group=g1_01, inline='session1_1')
i_sess1_barcolor2 = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1 = input.session('0700-1100', 'Time', group=g1_01)
i_sess1_extend = input.string(option_no, 'Extend', options= , group=g1_01)
i_sess1_fib = input.string(option_no, 'Fibonacci levels', group=g1_01, options= ) != option_no
i_sess1_op = input.string(option_no, 'Opening range', group=g1_01, options= ) != option_no and i_show
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 PM', '', group=g1_02, inline='session2_1')
i_sess2_color = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2_barcolor1 = input.color(#0a0a0a, '•', group=g1_02, inline='session2_1')
i_sess2_barcolor2 = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2 = input.session('1300-1600', 'Time', group=g1_02)
i_sess2_extend = input.string(option_no, 'Extend', options= , group=g1_02)
i_sess2_fib = input.string(option_no, 'Fibonacci levels', group=g1_02, options= ) != option_no
i_sess2_op = input.string(option_no, 'Opening range', group=g1_02, options= ) != option_no and i_show
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('Asian Sesh', '', group=g1_03, inline='session3_1')
i_sess3_color = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3_barcolor1 = input.color(#0a0a0a, '•', group=g1_03, inline='session3_1')
i_sess3_barcolor2 = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3 = input.session('2000-0000', 'Time', group=g1_03)
i_sess3_extend = input.string(option_no, 'Extend', options= , group=g1_03)
i_sess3_fib = input.string(option_no, 'Fibonacci levels', group=g1_03, options= ) != option_no
i_sess3_op = input.string(option_no, 'Opening range', group=g1_03, options= ) != option_no and i_show
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(true, 'Session 4 ', group=g1_04, inline='session4_1') and i_show
i_sess4_label = input.string('London', '', group=g1_04, inline='session4_1')
i_sess4_color = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4_barcolor1 = input.color(#0a0a0a, '•', group=g1_04, inline='session4_1')
i_sess4_barcolor2 = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4 = input.session('0200-0500', 'Time', group=g1_04)
i_sess4_extend = input.string(option_no, 'Extend', options= , group=g1_04)
i_sess4_fib = input.string(option_no, 'Fibonacci levels', group=g1_04, options= ) != option_no
i_sess4_op = input.string(option_no, 'Opening range', group=g1_04, options= ) != option_no and i_show
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
// Show & Styles
i_sess_box_style = input.string('Box', 'Style', options= , group=g4)
i_sess_border_style = f_border_style(input.string(option_border_style2, 'Line style', options= , group=g4))
i_sess_border_width = input.int(1, 'Thickness', minval=0, group=g4)
i_sess_bgopacity = input.int(94, 'Transp', minval=0, maxval=100, step=1, group=g4, tooltip='Setting the 100 is no background color')
// Candle
option_candle_body = 'OC'
option_candle_wick = 'OHLC'
i_candle = input.string(option_hide, 'Display', options= , group=g11)
i_candle_border_width = input.int(2, 'Thickness', minval=0, group=g11)
i_show_candle = (i_candle != option_hide) and (i_candle_border_width > 0)
i_show_candle_wick = i_candle == option_candle_wick
option_candle_color1 = 'Session\'s'
option_candle_color2 = 'Red • Green'
i_candle_color = input.string(option_candle_color2, 'Color ', options= , group=g11, inline='candle_color')
i_candle_color_g = input.color(#A6E22E, '', group=g11, inline='candle_color')
i_candle_color_r = input.color(#F92672, '', group=g11, inline='candle_color')
// Labels
i_label_show = input.bool(true, 'Labels', 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)
// Fibonacci levels
i_f_linestyle = f_border_style(input.string(option_border_style1, title="Style", options= , group=g7))
i_f_linewidth = input.int(1, title="Thickness", minval=1, group=g7)
// Opening range
i_o_minutes = input.int(15, title='Periods (minutes)', minval=1, step=1, group=g5)
i_o_minutes := math.max(i_o_minutes, timeframe.multiplier + 1)
i_o_transp = input.int(88, title='Transp', minval=0, maxval=100, step=1, group=g5)
// 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, _is_started, _color, _top, _bottom, _text, _labels) =>
var label my_label = na
var int start_time = na
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(_text)
array.push(v_label, _text)
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)) + ' pips')
if _show
if _is_started
my_label := label.new(bar_index, v_position_y, array.join(v_label, icon_separator), textcolor=_color, color=color_none, size=i_label_size, style=i_label_position)
array.push(_labels, my_label)
util.clear_labels(_labels, 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))
// ------------------------
// Drawing Fibonacci levels
// ------------------------
f_render_fibonacci (_show, _session, _is_started, _x1, _x2, _color, _top, _bottom, _level, _width, _style, _is_extend, _lines) =>
var line my_line = na
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(_lines, my_line)
if _is_extend
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)
// ------------------------
// Drawing Opening range
// ------------------------
f_render_oprange (_show, _session, _is_started, _x1, _x2, _color, _max, _is_extend, _boxes) =>
var int start_time = na
var box my_box = na
top = ta.highest(high, _max)
bottom = ta.lowest(low, _max)
is_crossover = ta.crossover(close, box.get_top(my_box))
is_crossunder = ta.crossunder(close, box.get_bottom(my_box))
if _show
if _is_started
util.clear_boxes(_boxes, math.max(0, i_history_period - 1))
start_time := time
my_box := na
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
my_box := box.new(_x1, top, _x2, bottom, border_width=0, bgcolor=color.new(_color, i_o_transp))
array.push(_boxes, my_box)
if _is_extend
box.set_extend(my_box, extend.right)
my_box
else
f_set_box_right(my_box, _x2)
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)
my_box
// ------------------------
// Drawing candle
// ------------------------
f_render_candle (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _open, _x1, _x2, _boxes, _lines) =>
var box body = na
var line wick1 = na
var line wick2 = na
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
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=_color, width=border_width, style=line.style_solid) : na
wick2 := i_show_candle_wick ? line.new(cx, _bottom, cx, _bottom, color=_color, width=border_width, style=line.style_solid) : na
array.push(_boxes, body)
array.push(_lines, wick1)
array.push(_lines, wick2)
util.clear_boxes(_boxes, i_history_period)
util.clear_lines(_lines, 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)
// ------------------------
// Rendering limit message
// ------------------------
f_render_limitmessage (_show, _session, _is_started, _is_ended, _x, _y, _rightbars) =>
var label my_note = na
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)
true
// Rendering session
//
f_render_sessionrange (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _lines) =>
var line above_line = na
var line below_line = na
if _show
if _is_started
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(_lines, above_line)
array.push(_lines, below_line)
util.clear_lines(_lines, i_history_period * 2)
if _is_extend
line.set_extend(above_line, extend.right)
line.set_extend(below_line, extend.right)
else if _session
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)
true
else if _is_ended
true
true
// ------------------------
// Rendering session box
// ------------------------
f_render_session (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _boxes) =>
var box my_box = na
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(_boxes, my_box)
util.clear_boxes(_boxes, i_history_period)
if _is_extend
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)
my_box
// ------------------------
// Drawing market
// ------------------------
f_render_main (_show, _session, _is_started, _is_ended, _color, _top, _bottom) =>
var box my_box = na
var label my_note = na
var x1 = 0
var x2 = 0
var session_open = 0.0
var session_high = 0.0
var session_low = 0.0
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.abs(x0_2 - x0_1)
limit_bars = max_bars
rightbars = x0_d
if _show
if _is_started
x1 := bar_index
x2 := bar_index + (math.min(x0_d, limit_bars))
session_open := open
session_high := _top
session_low := _bottom
else if _session
true_x2 = x1 + x0_d
rightbars := true_x2 - bar_index
limit_bars := bar_index + max_bars
x2 := math.min(true_x2, limit_bars)
session_high := _top
session_low := _bottom
else if _is_ended
session_open := na
// ------------------------
// Drawing
// ------------------------
draw (_show, _session, _color, _label, _extend, _show_fib, _show_op, _lookback, _boxes_session, _lines_session, _boxes_candle_body, _lines_candle_wick, _boxes_op, _lines_fib, _labels) =>
max = f_get_period(_session, 1, _lookback)
top = ta.highest(high, max)
bottom = ta.lowest(low, max)
is_started = f_get_started(_session)
is_ended = f_get_ended(_session)
is_extend = _extend != option_no
= f_render_main(_show, _session, is_started, is_ended, _color, top, bottom)
if i_sess_box_style == 'Box'
f_render_session(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _boxes_session)
if i_sess_box_style == 'Sandwich'
f_render_sessionrange(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _lines_session)
if i_show_candle
f_render_candle(_show, _session, is_started, is_ended, _color, top, bottom, _open, x1, x2, _boxes_candle_body, _lines_candle_wick)
if i_label_show
f_render_label(_show, _session, is_started, _color, top, bottom, _label, _labels)
if _show_op
f_render_oprange(_show, _session, is_started, x1, x2, _color, max, is_extend, _boxes_op)
if _show_fib
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.500, 2, line.style_solid, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.628, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.382, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
util.clear_lines(_lines_fib, i_history_period * 3)
f_render_limitmessage(_show, _session, is_started, is_ended, x1, bottom, _rightbars)
///////////////////
// Calculating
///////////////////
string tz = (i_tz == option_no or i_tz == '') ? na : i_tz
int sess1 = time(timeframe.period, i_sess1, tz)
int sess2 = time(timeframe.period, i_sess2, tz)
int sess3 = time(timeframe.period, i_sess3, tz)
int sess4 = time(timeframe.period, i_sess4, tz)
///////////////////
// Plotting
///////////////////
var sess1_box = array.new()
var sess2_box = array.new()
var sess3_box = array.new()
var sess4_box = array.new()
var sess1_line = array.new()
var sess2_line = array.new()
var sess3_line = array.new()
var sess4_line = array.new()
var sess1_op = array.new()
var sess2_op = array.new()
var sess3_op = array.new()
var sess4_op = array.new()
var sess1_fib = array.new()
var sess2_fib = array.new()
var sess3_fib = array.new()
var sess4_fib = array.new()
var sess1_candle_body = array.new()
var sess2_candle_body = array.new()
var sess3_candle_body = array.new()
var sess4_candle_body = array.new()
var sess1_candle_wick = array.new()
var sess2_candle_wick = array.new()
var sess3_candle_wick = array.new()
var sess4_candle_wick = array.new()
var sess1_labels = array.new()
var sess2_labels = array.new()
var sess3_labels = array.new()
var sess4_labels = array.new()
= draw(i_show_sess1, sess1, i_sess1_color, i_sess1_label, i_sess1_extend, i_sess1_fib, i_sess1_op, i_lookback, sess1_box, sess1_line, sess1_candle_body, sess1_candle_wick, sess1_op, sess1_fib, sess1_labels)
= draw(i_show_sess2, sess2, i_sess2_color, i_sess2_label, i_sess2_extend, i_sess2_fib, i_sess2_op, i_lookback, sess2_box, sess2_line, sess2_candle_body, sess2_candle_wick, sess2_op, sess2_fib, sess2_labels)
= draw(i_show_sess3, sess3, i_sess3_color, i_sess3_label, i_sess3_extend, i_sess3_fib, i_sess3_op, i_lookback, sess3_box, sess3_line, sess3_candle_body, sess3_candle_wick, sess3_op, sess3_fib, sess3_labels)
= draw(i_show_sess4, sess4, i_sess4_color, i_sess4_label, i_sess4_extend, i_sess4_fib, i_sess4_op, i_lookback, sess4_box, sess4_line, sess4_candle_body, sess4_candle_wick, sess4_op, sess4_fib, sess4_labels)
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
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
barcolor(c_barcolor)
plotcandle(open, high, low, close, color=is_positive_bar ? color_none : 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
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((not is_sess1) and ta.crossover(close, sess1_high), 'Session #1 High crossed (after session closed)')
alertcondition((not is_sess1) and ta.crossunder(close, sess1_low), 'Session #1 Low crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossover(close, sess2_high), 'Session #2 High crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossunder(close, sess2_low), 'Session #2 Low crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossover(close, sess3_high), 'Session #3 High crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossunder(close, sess3_low), 'Session #3 Low crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossover(close, sess4_high), 'Session #4 High crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossunder(close, sess4_low), 'Session #4 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, 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, 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, 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, close, 'End' , yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
plot(i_alert3_show ? sess1_high : na, 'sess1_high', style=plot.style_linebr, color=i_sess1_color)
plot(i_alert3_show ? sess1_low : na, 'sess1_low' , style=plot.style_linebr, color=i_sess1_color, linewidth=2)
plot(i_alert3_show ? sess2_high : na, 'sess2_high', style=plot.style_linebr, color=i_sess2_color)
plot(i_alert3_show ? sess2_low : na, 'sess2_low' , style=plot.style_linebr, color=i_sess2_color, linewidth=2)
plot(i_alert3_show ? sess3_high : na, 'sess3_high', style=plot.style_linebr, color=i_sess3_color)
plot(i_alert3_show ? sess3_low : na, 'sess3_low' , style=plot.style_linebr, color=i_sess3_color, linewidth=2)
plot(i_alert3_show ? sess4_high : na, 'sess4_high', style=plot.style_linebr, color=i_sess4_color)
plot(i_alert3_show ? sess4_low : na, 'sess4_low' , style=plot.style_linebr, color=i_sess4_color, linewidth=2)
plotshape(i_alert3_show and (not is_sess1) and ta.crossover(close, sess1_high) ? sess1_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_low) ? sess1_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_high) ? sess2_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_low) ? sess2_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_high) ? sess3_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_low) ? sess3_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_high) ? sess4_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_low) ? sess4_low : na, 'cross sess4_low', color=i_sess4_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
HSM MACROS//@version=5
indicator('HSM MACROS', 'HSM MACROS', overlay=true, max_bars_back=500, explicit_plot_zorder=true)
import boitoki/AwesomeColor/4 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'
g4 = 'BOX'
g6 = 'LABELS'
g5 = 'OPENING RANGE'
g7 = 'FIBONACCI LEVELS'
g8 = 'OPTIONS'
g11 = 'CANDLE'
g10 = 'Alerts visualized'
///////////////
// 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'
fmt_price = '{0,number,#.#####}'
fmt_pips = '{0,number,#.#}'
icon_separator = ' • '
color_none = color.new(color.black, 100)
color_text = color.new(color.white, 0)
///////////////
// 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-4', title='Timezone', options= , tooltip='e.g. \'America/New_York\', \'Asia/Tokyo\', \'GMT-4\', \'GMT+9\'...', 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('MC1', '', group=g1_01, inline='session1_1')
i_sess1_color = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1_barcolor1 = input.color(#0a0a0a, '•', group=g1_01, inline='session1_1')
i_sess1_barcolor2 = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1 = input.session('0820-0830', 'Time', group=g1_01)
i_sess1_extend = input.string(option_no, 'Extend', options= , group=g1_01)
i_sess1_fib = input.string(option_no, 'Fibonacci levels', group=g1_01, options= ) != option_no
i_sess1_op = input.string(option_no, 'Opening range', group=g1_01, options= ) != option_no and i_show
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('MC2', '', group=g1_02, inline='session2_1')
i_sess2_color = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2_barcolor1 = input.color(#0a0a0a, '•', group=g1_02, inline='session2_1')
i_sess2_barcolor2 = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2 = input.session('0920-0930', 'Time', group=g1_02)
i_sess2_extend = input.string(option_no, 'Extend', options= , group=g1_02)
i_sess2_fib = input.string(option_no, 'Fibonacci levels', group=g1_02, options= ) != option_no
i_sess2_op = input.string(option_no, 'Opening range', group=g1_02, options= ) != option_no and i_show
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('MC3', '', group=g1_03, inline='session3_1')
i_sess3_color = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3_barcolor1 = input.color(#0a0a0a, '•', group=g1_03, inline='session3_1')
i_sess3_barcolor2 = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3 = input.session('0950-1010', 'Time', group=g1_03)
i_sess3_extend = input.string(option_no, 'Extend', options= , group=g1_03)
i_sess3_fib = input.string(option_no, 'Fibonacci levels', group=g1_03, options= ) != option_no
i_sess3_op = input.string(option_no, 'Opening range', group=g1_03, options= ) != option_no and i_show
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(true, 'Session 4 ', group=g1_04, inline='session4_1') and i_show
i_sess4_label = input.string('MC4', '', group=g1_04, inline='session4_1')
i_sess4_color = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4_barcolor1 = input.color(#0a0a0a, '•', group=g1_04, inline='session4_1')
i_sess4_barcolor2 = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4 = input.session('1050-1110', 'Time', group=g1_04)
i_sess4_extend = input.string(option_no, 'Extend', options= , group=g1_04)
i_sess4_fib = input.string(option_no, 'Fibonacci levels', group=g1_04, options= ) != option_no
i_sess4_op = input.string(option_no, 'Opening range', group=g1_04, options= ) != option_no and i_show
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
// Show & Styles
i_sess_box_style = input.string('Box', 'Style', options= , group=g4)
i_sess_border_style = f_border_style(input.string(option_border_style2, 'Line style', options= , group=g4))
i_sess_border_width = input.int(1, 'Thickness', minval=0, group=g4)
i_sess_bgopacity = input.int(94, 'Transp', minval=0, maxval=100, step=1, group=g4, tooltip='Setting the 100 is no background color')
// Candle
option_candle_body = 'OC'
option_candle_wick = 'OHLC'
i_candle = input.string(option_hide, 'Display', options= , group=g11)
i_candle_border_width = input.int(2, 'Thickness', minval=0, group=g11)
i_show_candle = (i_candle != option_hide) and (i_candle_border_width > 0)
i_show_candle_wick = i_candle == option_candle_wick
option_candle_color1 = 'Session\'s'
option_candle_color2 = 'Red • Green'
i_candle_color = input.string(option_candle_color2, 'Color ', options= , group=g11, inline='candle_color')
i_candle_color_g = input.color(#A6E22E, '', group=g11, inline='candle_color')
i_candle_color_r = input.color(#F92672, '', group=g11, inline='candle_color')
// Labels
i_label_show = input.bool(true, 'Labels', 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)
// Fibonacci levels
i_f_linestyle = f_border_style(input.string(option_border_style1, title="Style", options= , group=g7))
i_f_linewidth = input.int(1, title="Thickness", minval=1, group=g7)
// Opening range
i_o_minutes = input.int(15, title='Periods (minutes)', minval=1, step=1, group=g5)
i_o_minutes := math.max(i_o_minutes, timeframe.multiplier + 1)
i_o_transp = input.int(88, title='Transp', minval=0, maxval=100, step=1, group=g5)
// 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, _is_started, _color, _top, _bottom, _text, _labels) =>
var label my_label = na
var int start_time = na
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(_text)
array.push(v_label, _text)
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)) + ' pips')
if _show
if _is_started
my_label := label.new(bar_index, v_position_y, array.join(v_label, icon_separator), textcolor=_color, color=color_none, size=i_label_size, style=i_label_position)
array.push(_labels, my_label)
util.clear_labels(_labels, 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))
// ------------------------
// Drawing Fibonacci levels
// ------------------------
f_render_fibonacci (_show, _session, _is_started, _x1, _x2, _color, _top, _bottom, _level, _width, _style, _is_extend, _lines) =>
var line my_line = na
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(_lines, my_line)
if _is_extend
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)
// ------------------------
// Drawing Opening range
// ------------------------
f_render_oprange (_show, _session, _is_started, _x1, _x2, _color, _max, _is_extend, _boxes) =>
var int start_time = na
var box my_box = na
top = ta.highest(high, _max)
bottom = ta.lowest(low, _max)
is_crossover = ta.crossover(close, box.get_top(my_box))
is_crossunder = ta.crossunder(close, box.get_bottom(my_box))
if _show
if _is_started
util.clear_boxes(_boxes, math.max(0, i_history_period - 1))
start_time := time
my_box := na
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
my_box := box.new(_x1, top, _x2, bottom, border_width=0, bgcolor=color.new(_color, i_o_transp))
array.push(_boxes, my_box)
if _is_extend
box.set_extend(my_box, extend.right)
my_box
else
f_set_box_right(my_box, _x2)
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)
my_box
// ------------------------
// Drawing candle
// ------------------------
f_render_candle (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _open, _x1, _x2, _boxes, _lines) =>
var box body = na
var line wick1 = na
var line wick2 = na
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
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=_color, width=border_width, style=line.style_solid) : na
wick2 := i_show_candle_wick ? line.new(cx, _bottom, cx, _bottom, color=_color, width=border_width, style=line.style_solid) : na
array.push(_boxes, body)
array.push(_lines, wick1)
array.push(_lines, wick2)
util.clear_boxes(_boxes, i_history_period)
util.clear_lines(_lines, 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)
// ------------------------
// Rendering limit message
// ------------------------
f_render_limitmessage (_show, _session, _is_started, _is_ended, _x, _y, _rightbars) =>
var label my_note = na
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)
true
// Rendering session
//
f_render_sessionrange (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _lines) =>
var line above_line = na
var line below_line = na
if _show
if _is_started
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(_lines, above_line)
array.push(_lines, below_line)
util.clear_lines(_lines, i_history_period * 2)
if _is_extend
line.set_extend(above_line, extend.right)
line.set_extend(below_line, extend.right)
else if _session
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)
true
else if _is_ended
true
true
// ------------------------
// Rendering session box
// ------------------------
f_render_session (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _boxes) =>
var box my_box = na
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(_boxes, my_box)
util.clear_boxes(_boxes, i_history_period)
if _is_extend
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)
my_box
// ------------------------
// Drawing market
// ------------------------
f_render_main (_show, _session, _is_started, _is_ended, _color, _top, _bottom) =>
var box my_box = na
var label my_note = na
var x1 = 0
var x2 = 0
var session_open = 0.0
var session_high = 0.0
var session_low = 0.0
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.abs(x0_2 - x0_1)
limit_bars = max_bars
rightbars = x0_d
if _show
if _is_started
x1 := bar_index
x2 := bar_index + (math.min(x0_d, limit_bars))
session_open := open
session_high := _top
session_low := _bottom
else if _session
true_x2 = x1 + x0_d
rightbars := true_x2 - bar_index
limit_bars := bar_index + max_bars
x2 := math.min(true_x2, limit_bars)
session_high := _top
session_low := _bottom
else if _is_ended
session_open := na
// ------------------------
// Drawing
// ------------------------
draw (_show, _session, _color, _label, _extend, _show_fib, _show_op, _lookback, _boxes_session, _lines_session, _boxes_candle_body, _lines_candle_wick, _boxes_op, _lines_fib, _labels) =>
max = f_get_period(_session, 1, _lookback)
top = ta.highest(high, max)
bottom = ta.lowest(low, max)
is_started = f_get_started(_session)
is_ended = f_get_ended(_session)
is_extend = _extend != option_no
= f_render_main(_show, _session, is_started, is_ended, _color, top, bottom)
if i_sess_box_style == 'Box'
f_render_session(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _boxes_session)
if i_sess_box_style == 'Sandwich'
f_render_sessionrange(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _lines_session)
if i_show_candle
f_render_candle(_show, _session, is_started, is_ended, _color, top, bottom, _open, x1, x2, _boxes_candle_body, _lines_candle_wick)
if i_label_show
f_render_label(_show, _session, is_started, _color, top, bottom, _label, _labels)
if _show_op
f_render_oprange(_show, _session, is_started, x1, x2, _color, max, is_extend, _boxes_op)
if _show_fib
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.500, 2, line.style_solid, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.628, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.382, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
util.clear_lines(_lines_fib, i_history_period * 3)
f_render_limitmessage(_show, _session, is_started, is_ended, x1, bottom, _rightbars)
///////////////////
// Calculating
///////////////////
string tz = (i_tz == option_no or i_tz == '') ? na : i_tz
int sess1 = time(timeframe.period, i_sess1, tz)
int sess2 = time(timeframe.period, i_sess2, tz)
int sess3 = time(timeframe.period, i_sess3, tz)
int sess4 = time(timeframe.period, i_sess4, tz)
///////////////////
// Plotting
///////////////////
var sess1_box = array.new()
var sess2_box = array.new()
var sess3_box = array.new()
var sess4_box = array.new()
var sess1_line = array.new()
var sess2_line = array.new()
var sess3_line = array.new()
var sess4_line = array.new()
var sess1_op = array.new()
var sess2_op = array.new()
var sess3_op = array.new()
var sess4_op = array.new()
var sess1_fib = array.new()
var sess2_fib = array.new()
var sess3_fib = array.new()
var sess4_fib = array.new()
var sess1_candle_body = array.new()
var sess2_candle_body = array.new()
var sess3_candle_body = array.new()
var sess4_candle_body = array.new()
var sess1_candle_wick = array.new()
var sess2_candle_wick = array.new()
var sess3_candle_wick = array.new()
var sess4_candle_wick = array.new()
var sess1_labels = array.new()
var sess2_labels = array.new()
var sess3_labels = array.new()
var sess4_labels = array.new()
= draw(i_show_sess1, sess1, i_sess1_color, i_sess1_label, i_sess1_extend, i_sess1_fib, i_sess1_op, i_lookback, sess1_box, sess1_line, sess1_candle_body, sess1_candle_wick, sess1_op, sess1_fib, sess1_labels)
= draw(i_show_sess2, sess2, i_sess2_color, i_sess2_label, i_sess2_extend, i_sess2_fib, i_sess2_op, i_lookback, sess2_box, sess2_line, sess2_candle_body, sess2_candle_wick, sess2_op, sess2_fib, sess2_labels)
= draw(i_show_sess3, sess3, i_sess3_color, i_sess3_label, i_sess3_extend, i_sess3_fib, i_sess3_op, i_lookback, sess3_box, sess3_line, sess3_candle_body, sess3_candle_wick, sess3_op, sess3_fib, sess3_labels)
= draw(i_show_sess4, sess4, i_sess4_color, i_sess4_label, i_sess4_extend, i_sess4_fib, i_sess4_op, i_lookback, sess4_box, sess4_line, sess4_candle_body, sess4_candle_wick, sess4_op, sess4_fib, sess4_labels)
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
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
barcolor(c_barcolor)
plotcandle(open, high, low, close, color=is_positive_bar ? color_none : 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
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((not is_sess1) and ta.crossover(close, sess1_high), 'Session #1 High crossed (after session closed)')
alertcondition((not is_sess1) and ta.crossunder(close, sess1_low), 'Session #1 Low crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossover(close, sess2_high), 'Session #2 High crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossunder(close, sess2_low), 'Session #2 Low crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossover(close, sess3_high), 'Session #3 High crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossunder(close, sess3_low), 'Session #3 Low crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossover(close, sess4_high), 'Session #4 High crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossunder(close, sess4_low), 'Session #4 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, 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, 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, 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, close, 'End' , yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
plot(i_alert3_show ? sess1_high : na, 'sess1_high', style=plot.style_linebr, color=i_sess1_color)
plot(i_alert3_show ? sess1_low : na, 'sess1_low' , style=plot.style_linebr, color=i_sess1_color, linewidth=2)
plot(i_alert3_show ? sess2_high : na, 'sess2_high', style=plot.style_linebr, color=i_sess2_color)
plot(i_alert3_show ? sess2_low : na, 'sess2_low' , style=plot.style_linebr, color=i_sess2_color, linewidth=2)
plot(i_alert3_show ? sess3_high : na, 'sess3_high', style=plot.style_linebr, color=i_sess3_color)
plot(i_alert3_show ? sess3_low : na, 'sess3_low' , style=plot.style_linebr, color=i_sess3_color, linewidth=2)
plot(i_alert3_show ? sess4_high : na, 'sess4_high', style=plot.style_linebr, color=i_sess4_color)
plot(i_alert3_show ? sess4_low : na, 'sess4_low' , style=plot.style_linebr, color=i_sess4_color, linewidth=2)
plotshape(i_alert3_show and (not is_sess1) and ta.crossover(close, sess1_high) ? sess1_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_low) ? sess1_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_high) ? sess2_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_low) ? sess2_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_high) ? sess3_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_low) ? sess3_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_high) ? sess4_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_low) ? sess4_low : na, 'cross sess4_low', color=i_sess4_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
HSM BULLET//@version=5
indicator('HSM BULLET', 'HSM BULLET', overlay=true, max_bars_back=500, explicit_plot_zorder=true)
import boitoki/AwesomeColor/4 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'
g4 = 'BOX'
g6 = 'LABELS'
g5 = 'OPENING RANGE'
g7 = 'FIBONACCI LEVELS'
g8 = 'OPTIONS'
g11 = 'CANDLE'
g10 = 'Alerts visualized'
///////////////
// 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'
fmt_price = '{0,number,#.#####}'
fmt_pips = '{0,number,#.#}'
icon_separator = ' • '
color_none = color.new(color.black, 100)
color_text = color.new(color.white, 0)
///////////////
// 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-4', title='Timezone', options= , tooltip='e.g. \'America/New_York\', \'Asia/Tokyo\', \'GMT-4\', \'GMT+9\'...', 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 Silver', '', group=g1_01, inline='session1_1')
i_sess1_color = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1_barcolor1 = input.color(#0a0a0a, '•', group=g1_01, inline='session1_1')
i_sess1_barcolor2 = input.color(#0a0a0a, '', group=g1_01, inline='session1_1')
i_sess1 = input.session('0300-0400', 'Time', group=g1_01)
i_sess1_extend = input.string(option_no, 'Extend', options= , group=g1_01)
i_sess1_fib = input.string(option_no, 'Fibonacci levels', group=g1_01, options= ) != option_no
i_sess1_op = input.string(option_no, 'Opening range', group=g1_01, options= ) != option_no and i_show
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('NY AM Bullet', '', group=g1_02, inline='session2_1')
i_sess2_color = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2_barcolor1 = input.color(#0a0a0a, '•', group=g1_02, inline='session2_1')
i_sess2_barcolor2 = input.color(#0a0a0a, '', group=g1_02, inline='session2_1')
i_sess2 = input.session('1000-1100', 'Time', group=g1_02)
i_sess2_extend = input.string(option_no, 'Extend', options= , group=g1_02)
i_sess2_fib = input.string(option_no, 'Fibonacci levels', group=g1_02, options= ) != option_no
i_sess2_op = input.string(option_no, 'Opening range', group=g1_02, options= ) != option_no and i_show
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('NY PM Bullet', '', group=g1_03, inline='session3_1')
i_sess3_color = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3_barcolor1 = input.color(#0a0a0a, '•', group=g1_03, inline='session3_1')
i_sess3_barcolor2 = input.color(#0a0a0a, '', group=g1_03, inline='session3_1')
i_sess3 = input.session('1400-1500', 'Time', group=g1_03)
i_sess3_extend = input.string(option_no, 'Extend', options= , group=g1_03)
i_sess3_fib = input.string(option_no, 'Fibonacci levels', group=g1_03, options= ) != option_no
i_sess3_op = input.string(option_no, 'Opening range', group=g1_03, options= ) != option_no and i_show
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(true, 'Session 4 ', group=g1_04, inline='session4_1') and i_show
i_sess4_label = input.string(' ', '', group=g1_04, inline='session4_1')
i_sess4_color = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4_barcolor1 = input.color(#0a0a0a, '•', group=g1_04, inline='session4_1')
i_sess4_barcolor2 = input.color(#0a0a0a, '', group=g1_04, inline='session4_1')
i_sess4 = input.session('1000-1000', 'Time', group=g1_04)
i_sess4_extend = input.string(option_no, 'Extend', options= , group=g1_04)
i_sess4_fib = input.string(option_no, 'Fibonacci levels', group=g1_04, options= ) != option_no
i_sess4_op = input.string(option_no, 'Opening range', group=g1_04, options= ) != option_no and i_show
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
// Show & Styles
i_sess_box_style = input.string('Box', 'Style', options= , group=g4)
i_sess_border_style = f_border_style(input.string(option_border_style2, 'Line style', options= , group=g4))
i_sess_border_width = input.int(1, 'Thickness', minval=0, group=g4)
i_sess_bgopacity = input.int(94, 'Transp', minval=0, maxval=100, step=1, group=g4, tooltip='Setting the 100 is no background color')
// Candle
option_candle_body = 'OC'
option_candle_wick = 'OHLC'
i_candle = input.string(option_hide, 'Display', options= , group=g11)
i_candle_border_width = input.int(2, 'Thickness', minval=0, group=g11)
i_show_candle = (i_candle != option_hide) and (i_candle_border_width > 0)
i_show_candle_wick = i_candle == option_candle_wick
option_candle_color1 = 'Session\'s'
option_candle_color2 = 'Red • Green'
i_candle_color = input.string(option_candle_color2, 'Color ', options= , group=g11, inline='candle_color')
i_candle_color_g = input.color(#A6E22E, '', group=g11, inline='candle_color')
i_candle_color_r = input.color(#F92672, '', group=g11, inline='candle_color')
// Labels
i_label_show = input.bool(true, 'Labels', 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)
// Fibonacci levels
i_f_linestyle = f_border_style(input.string(option_border_style1, title="Style", options= , group=g7))
i_f_linewidth = input.int(1, title="Thickness", minval=1, group=g7)
// Opening range
i_o_minutes = input.int(15, title='Periods (minutes)', minval=1, step=1, group=g5)
i_o_minutes := math.max(i_o_minutes, timeframe.multiplier + 1)
i_o_transp = input.int(88, title='Transp', minval=0, maxval=100, step=1, group=g5)
// 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, _is_started, _color, _top, _bottom, _text, _labels) =>
var label my_label = na
var int start_time = na
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(_text)
array.push(v_label, _text)
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)) + ' pips')
if _show
if _is_started
my_label := label.new(bar_index, v_position_y, array.join(v_label, icon_separator), textcolor=_color, color=color_none, size=i_label_size, style=i_label_position)
array.push(_labels, my_label)
util.clear_labels(_labels, 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))
// ------------------------
// Drawing Fibonacci levels
// ------------------------
f_render_fibonacci (_show, _session, _is_started, _x1, _x2, _color, _top, _bottom, _level, _width, _style, _is_extend, _lines) =>
var line my_line = na
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(_lines, my_line)
if _is_extend
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)
// ------------------------
// Drawing Opening range
// ------------------------
f_render_oprange (_show, _session, _is_started, _x1, _x2, _color, _max, _is_extend, _boxes) =>
var int start_time = na
var box my_box = na
top = ta.highest(high, _max)
bottom = ta.lowest(low, _max)
is_crossover = ta.crossover(close, box.get_top(my_box))
is_crossunder = ta.crossunder(close, box.get_bottom(my_box))
if _show
if _is_started
util.clear_boxes(_boxes, math.max(0, i_history_period - 1))
start_time := time
my_box := na
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
my_box := box.new(_x1, top, _x2, bottom, border_width=0, bgcolor=color.new(_color, i_o_transp))
array.push(_boxes, my_box)
if _is_extend
box.set_extend(my_box, extend.right)
my_box
else
f_set_box_right(my_box, _x2)
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)
my_box
// ------------------------
// Drawing candle
// ------------------------
f_render_candle (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _open, _x1, _x2, _boxes, _lines) =>
var box body = na
var line wick1 = na
var line wick2 = na
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
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=_color, width=border_width, style=line.style_solid) : na
wick2 := i_show_candle_wick ? line.new(cx, _bottom, cx, _bottom, color=_color, width=border_width, style=line.style_solid) : na
array.push(_boxes, body)
array.push(_lines, wick1)
array.push(_lines, wick2)
util.clear_boxes(_boxes, i_history_period)
util.clear_lines(_lines, 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)
// ------------------------
// Rendering limit message
// ------------------------
f_render_limitmessage (_show, _session, _is_started, _is_ended, _x, _y, _rightbars) =>
var label my_note = na
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)
true
// Rendering session
//
f_render_sessionrange (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _lines) =>
var line above_line = na
var line below_line = na
if _show
if _is_started
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(_lines, above_line)
array.push(_lines, below_line)
util.clear_lines(_lines, i_history_period * 2)
if _is_extend
line.set_extend(above_line, extend.right)
line.set_extend(below_line, extend.right)
else if _session
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)
true
else if _is_ended
true
true
// ------------------------
// Rendering session box
// ------------------------
f_render_session (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _boxes) =>
var box my_box = na
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(_boxes, my_box)
util.clear_boxes(_boxes, i_history_period)
if _is_extend
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)
my_box
// ------------------------
// Drawing market
// ------------------------
f_render_main (_show, _session, _is_started, _is_ended, _color, _top, _bottom) =>
var box my_box = na
var label my_note = na
var x1 = 0
var x2 = 0
var session_open = 0.0
var session_high = 0.0
var session_low = 0.0
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.abs(x0_2 - x0_1)
limit_bars = max_bars
rightbars = x0_d
if _show
if _is_started
x1 := bar_index
x2 := bar_index + (math.min(x0_d, limit_bars))
session_open := open
session_high := _top
session_low := _bottom
else if _session
true_x2 = x1 + x0_d
rightbars := true_x2 - bar_index
limit_bars := bar_index + max_bars
x2 := math.min(true_x2, limit_bars)
session_high := _top
session_low := _bottom
else if _is_ended
session_open := na
// ------------------------
// Drawing
// ------------------------
draw (_show, _session, _color, _label, _extend, _show_fib, _show_op, _lookback, _boxes_session, _lines_session, _boxes_candle_body, _lines_candle_wick, _boxes_op, _lines_fib, _labels) =>
max = f_get_period(_session, 1, _lookback)
top = ta.highest(high, max)
bottom = ta.lowest(low, max)
is_started = f_get_started(_session)
is_ended = f_get_ended(_session)
is_extend = _extend != option_no
= f_render_main(_show, _session, is_started, is_ended, _color, top, bottom)
if i_sess_box_style == 'Box'
f_render_session(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _boxes_session)
if i_sess_box_style == 'Sandwich'
f_render_sessionrange(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _lines_session)
if i_show_candle
f_render_candle(_show, _session, is_started, is_ended, _color, top, bottom, _open, x1, x2, _boxes_candle_body, _lines_candle_wick)
if i_label_show
f_render_label(_show, _session, is_started, _color, top, bottom, _label, _labels)
if _show_op
f_render_oprange(_show, _session, is_started, x1, x2, _color, max, is_extend, _boxes_op)
if _show_fib
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.500, 2, line.style_solid, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.628, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.382, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib)
util.clear_lines(_lines_fib, i_history_period * 3)
f_render_limitmessage(_show, _session, is_started, is_ended, x1, bottom, _rightbars)
///////////////////
// Calculating
///////////////////
string tz = (i_tz == option_no or i_tz == '') ? na : i_tz
int sess1 = time(timeframe.period, i_sess1, tz)
int sess2 = time(timeframe.period, i_sess2, tz)
int sess3 = time(timeframe.period, i_sess3, tz)
int sess4 = time(timeframe.period, i_sess4, tz)
///////////////////
// Plotting
///////////////////
var sess1_box = array.new()
var sess2_box = array.new()
var sess3_box = array.new()
var sess4_box = array.new()
var sess1_line = array.new()
var sess2_line = array.new()
var sess3_line = array.new()
var sess4_line = array.new()
var sess1_op = array.new()
var sess2_op = array.new()
var sess3_op = array.new()
var sess4_op = array.new()
var sess1_fib = array.new()
var sess2_fib = array.new()
var sess3_fib = array.new()
var sess4_fib = array.new()
var sess1_candle_body = array.new()
var sess2_candle_body = array.new()
var sess3_candle_body = array.new()
var sess4_candle_body = array.new()
var sess1_candle_wick = array.new()
var sess2_candle_wick = array.new()
var sess3_candle_wick = array.new()
var sess4_candle_wick = array.new()
var sess1_labels = array.new()
var sess2_labels = array.new()
var sess3_labels = array.new()
var sess4_labels = array.new()
= draw(i_show_sess1, sess1, i_sess1_color, i_sess1_label, i_sess1_extend, i_sess1_fib, i_sess1_op, i_lookback, sess1_box, sess1_line, sess1_candle_body, sess1_candle_wick, sess1_op, sess1_fib, sess1_labels)
= draw(i_show_sess2, sess2, i_sess2_color, i_sess2_label, i_sess2_extend, i_sess2_fib, i_sess2_op, i_lookback, sess2_box, sess2_line, sess2_candle_body, sess2_candle_wick, sess2_op, sess2_fib, sess2_labels)
= draw(i_show_sess3, sess3, i_sess3_color, i_sess3_label, i_sess3_extend, i_sess3_fib, i_sess3_op, i_lookback, sess3_box, sess3_line, sess3_candle_body, sess3_candle_wick, sess3_op, sess3_fib, sess3_labels)
= draw(i_show_sess4, sess4, i_sess4_color, i_sess4_label, i_sess4_extend, i_sess4_fib, i_sess4_op, i_lookback, sess4_box, sess4_line, sess4_candle_body, sess4_candle_wick, sess4_op, sess4_fib, sess4_labels)
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
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
barcolor(c_barcolor)
plotcandle(open, high, low, close, color=is_positive_bar ? color_none : 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
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((not is_sess1) and ta.crossover(close, sess1_high), 'Session #1 High crossed (after session closed)')
alertcondition((not is_sess1) and ta.crossunder(close, sess1_low), 'Session #1 Low crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossover(close, sess2_high), 'Session #2 High crossed (after session closed)')
alertcondition((not is_sess2) and ta.crossunder(close, sess2_low), 'Session #2 Low crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossover(close, sess3_high), 'Session #3 High crossed (after session closed)')
alertcondition((not is_sess3) and ta.crossunder(close, sess3_low), 'Session #3 Low crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossover(close, sess4_high), 'Session #4 High crossed (after session closed)')
alertcondition((not is_sess4) and ta.crossunder(close, sess4_low), 'Session #4 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, 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, 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, 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, close, 'End' , yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down)
plot(i_alert3_show ? sess1_high : na, 'sess1_high', style=plot.style_linebr, color=i_sess1_color)
plot(i_alert3_show ? sess1_low : na, 'sess1_low' , style=plot.style_linebr, color=i_sess1_color, linewidth=2)
plot(i_alert3_show ? sess2_high : na, 'sess2_high', style=plot.style_linebr, color=i_sess2_color)
plot(i_alert3_show ? sess2_low : na, 'sess2_low' , style=plot.style_linebr, color=i_sess2_color, linewidth=2)
plot(i_alert3_show ? sess3_high : na, 'sess3_high', style=plot.style_linebr, color=i_sess3_color)
plot(i_alert3_show ? sess3_low : na, 'sess3_low' , style=plot.style_linebr, color=i_sess3_color, linewidth=2)
plot(i_alert3_show ? sess4_high : na, 'sess4_high', style=plot.style_linebr, color=i_sess4_color)
plot(i_alert3_show ? sess4_low : na, 'sess4_low' , style=plot.style_linebr, color=i_sess4_color, linewidth=2)
plotshape(i_alert3_show and (not is_sess1) and ta.crossover(close, sess1_high) ? sess1_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_low) ? sess1_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_high) ? sess2_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_low) ? sess2_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_high) ? sess3_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_low) ? sess3_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_high) ? sess4_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_low) ? sess4_low : na, 'cross sess4_low', color=i_sess4_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
Fibo Swing MFI by julzALGOOVERVIEW
Fibo Swing MFI by julzALGO blends MFI → RSI → Least-Squares smoothing to flag overbought/oversold swings and continuously plot Fibonacci retracements from the rolling high/low of the last 200 bars. It’s built to spot momentum shifts while giving you a clean, always-current fib map of the recent market range.
CORE PRINCIPLES
Hybrid Momentum Signal
- Uses MFI to integrate price and volume.
- Applies RSI to MFI for momentum clarity.
- Smooths the result with Least Squares regression to reduce noise.
Swing Identification
- Marks potential swing highs when momentum is overbought.
- Marks potential swing lows when momentum is oversold.
Fixed-Window Fibonacci Mapping
- Always calculates fib levels from the highest high and lowest low of the last 200 bars.
- This keeps fib zones consistent, independent of swing point detection.
Visual Clarity & Non-Repainting Logic
- Clean labels for OB/OS zones.
- Lines and levels update only as new bars confirm changes.
Adaptability
- Works on any market and timeframe.
- Adjustable momentum length, OB/OS thresholds, and smoothing.
HOW IT WORKS
- Computes Money Flow Index (MFI) from price & volume.
- Applies RSI to the MFI for clearer OB/OS momentum.
- Smooths the hybrid with a Least Squares (linear regression) filter.
- Swing labels appear when OB/OS conditions are met (green = swing low, red = swing high).
- Fibonacci retracements are always drawn from the highest high and lowest low of the last 200 bars (rolling window), independent of swing labels.
HOW TO USE
- Watch for OB/OS flips to mark potential swing highs/lows.
- Use the 200-bar fib grid as your active map of pullback levels and reaction zones.
- Combine fib reactions with your price action/volume cues for confirmation.
- Works across markets and timeframes.
SETTINGS
- Length – Period for both MFI and RSI.
- OB/OS Levels – Overbought/oversold thresholds (default 70/30).
- Smooth – Least-Squares smoothing length.
- Fibonacci Window – Fixed at 200 bars in this version (changeable in code via fibLen).
NOTES
- Logic is non-repainting aside from standard bar/label confirmation.
- Increase Length on very low timeframes to reduce noise.
- Swing labels help context; fibs are always based on the most recent 200-bar high/low range.
SUMMARY
Fibo Swing MFI by julzALGO is a momentum-plus-price action tool that merges MFI → RSI → smoothing to identify overbought/oversold swings and automatically plot Fibonacci retracements based on the rolling high/low of the last 200 bars. It’s designed to help traders quickly see potential reversal points and pullback zones, offering visual confluence between momentum shifts and fixed-window price structure.
DISCLAIMER
For educational purposes only. Not financial advice. Trade responsibly with proper risk management.
UNITY[ALGO] PO3 V3Of course. Here is a complete and professional description in English for the indicator we have built, detailing all of its features and functionalities.
Indicator: UNITY PO3 V7.2
Overview
The UNITY PO3 is an advanced, multi-faceted technical analysis tool designed to identify high-probability reversal setups based on the Swing Failure Pattern (SFP). It combines real-time SFP detection on the current timeframe with a sophisticated analysis of key institutional liquidity zones from the H4 timeframe, presenting all information in a clear, dynamic, and interactive visual interface.
This indicator is built for traders who use liquidity concepts, providing a complete dashboard of entries, targets, and invalidation levels directly on the chart.
Core Features & Functionality
1. Swing Failure Pattern (SFP) Detection (Current Timeframe)
The indicator's primary engine identifies SFPs on the chart's active timeframe with two layers of logic:
Standard SFP: Detects a classic liquidity sweep where the current candle's wick takes out the high or low of the previous candle and the body closes back within the previous candle's range.
Outside Bar SFP Logic: Intelligently analyzes engulfing candles that sweep both the high and low of the previous candle. A valid signal is only generated if the candle has a clear directional close:
Bullish Signal: If the outside bar closes higher than its open.
Bearish Signal: If the outside bar closes lower than its open.
Neutral (doji-like) outside bars are ignored to filter for indecision.
2. Comprehensive On-Chart SFP Markings
When a valid SFP is detected, a full suite of dynamic drawings appears on the chart:
Failure Line: A dashed line (red for bearish, green for bullish) marking the precise price level of the liquidity sweep.
PREMIUM ZONE (SFP Candle Wick): A transparent, colored rectangle highlighting the rejection wick of the signal candle (the upper wick for bearish SFPs, the lower wick for bullish SFPs). This zone automatically extends to the right, following the current price, until the DOL is hit.
CRT BOX (Reference Candle): A transparent box with a colored border drawn around the entire range of the candle that was swept (Candle 1). This highlights the full liquidity zone and also extends dynamically until the DOL is hit.
Dynamic Target Line: A blue dashed line marking the primary objective (the low of the signal candle for shorts, the high for longs).
The line begins with a "⏳ Target" label and extends with the current price.
Upon being touched by price, the line freezes, and its label permanently changes to "✅ Target".
Dynamic DOL (Draw on Liquidity) Line: An orange dashed line marking the invalidation level, defined as the opposite extremity of the swept candle (Candle 1).
It begins with a "⏳ dol" label and extends with the price.
Upon being touched, it freezes, and its label changes to "✅ dol".
3. Multi-Session Killzone Liquidity Levels (H4 Analysis)
The indicator automatically analyzes the H4 timeframe in the background to identify and plot key liquidity levels from three major trading sessions, based on their UTC opening times.
1am Killzone (London Lunch): Tracks the high/low of the 05:00 UTC H4 candle.
5am Killzone (London Open): Tracks the high/low of the 09:00 UTC H4 candle.
9am Killzone (NY Open): Tracks the high/low of the 13:00 UTC H4 candle.
For each of these Killzones, the indicator provides two types of analysis:
Last KZ Lines: Plots the high and low of the most recent qualifying Killzone candle. These lines are dynamic, extending with price and showing a ⏳/✅ status when touched.
Fresh Zones: A powerful feature that scans the entire available history of Killzones to find and display the closest untouched high (above the current price) and the closest untouched low (below the current price). These "Fresh" lines are also fully dynamic and provide a real-time view of the most relevant nearby liquidity targets.
4. Advanced User Settings & Chart Management
The indicator is designed for a clean and user-centric experience with powerful customization:
Show Only Last SFP: Keeps the chart clean by automatically deleting the previous SFP setup when a new one appears.
Hide SFP on DOL Reset: When checked, automatically removes all drawings related to an SFP setup the moment its invalidation level (DOL line) is touched. This leaves only active, valid setups on the chart.
Hide Consumed KZ: When checked, automatically removes any Killzone or Fresh Zone line from the chart as soon as it is touched by the price.
Independent Toggles: Every visual element—SFP signals, each of the three Killzones, and their respective "Fresh" zone counterparts—can be turned on or off independently from the settings menu for complete control over the visual display.
Z-Order Priority: All indicator drawings are rendered in front of the chart candles, ensuring they are always clearly visible and never hidden from view.
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic
This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail.
1. General Description
Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions.
Key Features:
Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes.
Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses.
Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes.
Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold).
Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle).
Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results).
Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio.
Strategy Settings:
Initial capital: $10,000.
Pyramiding: Up to 3 positions.
Position size: 10% of equity (default_qty_value=10).
Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management.
Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading.
2. Working Logic (Step by Step)
The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works:
a. Input Parameters
The inputs are grouped for clarity:
Herd Behavior (🐑):
RSI Period (14): For overbought/oversold detection.
Volume MA Period (20): To calculate average volume for spike detection.
Herd Threshold (2.0): Volume multiplier for detecting herd activity.
Liquidity Analysis (💧):
Liquidity Lookback (50): Bars to check for recent highs/lows.
Liquidity Sensitivity (1.5): Volume multiplier for trap detection.
Institutional Flow (🏦):
Institutional Volume Multiplier (2.5): For detecting large volume spikes.
Institutional MA Period (21): For Accumulation/Distribution smoothing.
Nash Equilibrium (⚖️):
Nash Period (100): For calculating price mean and standard deviation.
Nash Deviation (0.02): Multiplier for equilibrium bands.
Risk Management (🛡️):
Use Stop-Loss (true): Enables SL at 2% below/above entry price.
Use Take-Profit (true): Enables TP at 5% above/below entry price.
b. Herd Behavior Detection
RSI (14): Checks for extreme conditions:
Overbought: RSI > 70 (potential herd buying).
Oversold: RSI < 30 (potential herd selling).
Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold).
Momentum: Price change over 10 bars (close - close ) compared to its SMA(20).
Herd Signals:
Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background).
Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background).
c. Liquidity Trap Detection
Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback).
Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones.
Trap Conditions:
Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5).
Down Trap: Price breaks recent low, closes above it, with a volume spike.
Visualization: Traps are marked with small red/green crosses above/below bars.
d. Institutional Flow Analysis
Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity.
Accumulation/Distribution (AD):
Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time.
Smoothed with SMA(21) (inst_ma_length).
Accumulation: AD > MA + high volume = Institutions buying.
Distribution: AD < MA + high volume = Institutions selling.
Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying.
e. Nash Equilibrium
Calculation:
Price mean: SMA(100) (nash_period).
Standard deviation: stdev(100).
Upper Nash: Mean + StdDev x 0.02 (nash_deviation).
Lower Nash: Mean - StdDev x 0.02.
Conditions:
Near Equilibrium: Price between upper and lower Nash bands (stable market).
Above Nash: Price > upper band (overbought, sell potential).
Below Nash: Price < lower band (oversold, buy potential).
Visualization: Orange line (mean), red/green lines (upper/lower bands).
f. Game Theory Signals
The strategy generates three types of signals, combined into long/short triggers:
Contrarian Signals:
Buy: Herd selling + (accumulation or down trap) = Go against retail panic.
Sell: Herd buying + (distribution or up trap).
Momentum Signals:
Buy: Below Nash + positive smart money + no herd buying.
Sell: Above Nash + negative smart money + no herd selling.
Nash Reversion Signals:
Buy: Below Nash + rising close (close > close ) + volume > MA.
Sell: Above Nash + falling close + volume > MA.
Final Signals:
Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy.
Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell.
g. Position Management
Position Sizing (Minimax Principle):
Default: 1.0 (10% of equity).
In Nash equilibrium: Reduced to 0.5 (conservative).
During institutional volume: Increased to 1.5 (aggressive).
Entries:
Long: If long_signal is true and no existing long position (strategy.position_size <= 0).
Short: If short_signal is true and no existing short position (strategy.position_size >= 0).
Exits:
Stop-Loss: If use_sl=true, set at 2% below/above entry price.
Take-Profit: If use_tp=true, set at 5% above/below entry price.
Pyramiding: Up to 3 concurrent positions allowed.
h. Visualization
Nash Bands: Orange (mean), red (upper), green (lower).
Background Colors:
Herd buying: Red (90% transparency).
Herd selling: Green.
Institutional volume: Blue.
Signals:
Contrarian buy/sell: Green/red triangles below/above bars.
Liquidity traps: Red/green crosses above/below bars.
Tables:
Game Theory Table (Top-Right):
Herd Behavior: Buying frenzy, selling panic, or normal.
Institutional Flow: Accumulation, distribution, or neutral.
Nash Equilibrium: In equilibrium, above, or below.
Liquidity Status: Trap detected or safe.
Position Suggestion: Long (green), Short (red), or Wait (gray).
Backtest Table (Bottom-Right):
Total Trades: Number of closed trades.
Win Rate: Percentage of winning trades.
Net Profit/Loss: In USD, colored green/red.
Profit Factor: Gross profit / gross loss.
Max Drawdown: Peak-to-trough equity drop (%).
Win/Loss Trades: Number of winning/losing trades.
Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown).
Avg Win/Loss Ratio: Average win per trade / average loss per trade.
Last Update: Current time.
i. Backtesting Metrics
Tracks:
Total trades, winning/losing trades.
Win rate (%).
Net profit ($).
Profit factor (gross profit / gross loss).
Max drawdown (%).
Simplified Sharpe ratio (returns / drawdown).
Average win/loss ratio.
Updates metrics on each closed trade.
Displays a label on the last bar with backtest period, total trades, win rate, and net profit.
j. Alerts
No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")).
Use TradingView's alert system with Strategy Tester outputs.
3. Usage Tips
Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals.
Settings:
Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping).
Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets.
Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto).
Nash Period: Increase to 200 for longer-term analysis.
Backtesting:
Use TradingView's Strategy Tester to evaluate performance.
Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability.
Test on different assets/timeframes to ensure robustness.
Live Trading:
Start with a demo account.
Combine with other indicators (e.g., EMAs, support/resistance) for confirmation.
Monitor liquidity traps and institutional flow for context.
Risk Management:
Always use SL/TP to limit losses.
Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading).
Avoid over-leveraging (pyramiding=3 can amplify risk).
Troubleshooting:
If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity).
Ensure sufficient historical data for Nash and liquidity calculations.
If tables overlap, adjust position.top_right/bottom_right coordinates.
4. Key Differences from the Previous Indicator
Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting.
Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones.
Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns.
Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator.
Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy.
Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator.
5. Conclusion
The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. It’s designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management.
If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
BARTRADINGPREDV4Please note, that all of the indicators on the chart are working together. I am showing all of the indicators so that you might see the benefits of these indicators working as one. Do your own research. Trade smart. I code tools not advice. So please make decisions based on your trading style and knowledge. Use my scripts freely but please note they are protected by Mozilla.
Script Summary: BARTRADINGPREDV4
This Pine Script indicator is a comprehensive trading tool that overlays on your TradingView chart. It combines moving averages, regression channels, volume analysis, RSI filtering, and pattern recognition to assist in making trading decisions. It also provides a forward-looking projection to help anticipate future price movement.
Key Features & Logic
1. Moving Averages
HMA (High Moving Average): Simple moving average of the high price over a user-defined lookback period.
LMA (Low Moving Average): Simple moving average of the low price over the same period.
HLMA (High-Low Moving Average): The average of HMA and LMA, providing a midline reference.
2. RSI Filtering
Optionally enables a Relative Strength Index (RSI) filter to help avoid trades when the market is not trending strongly.
Only allows buy signals if RSI is above 50, and sell signals if RSI is below 50 (if enabled).
3. Signal Generation
BUY Signal: Triggered when HL2 (average of OHLC) crosses over LMA and (optionally) RSI > 50.
SELL Signal: Triggered when HL2 crosses under HMA and (optionally) RSI < 50.
XSB (Extra Strong Buy): HL2 crosses over HMA, is above HLMA, up volume is greater than down volume, and (optionally) RSI > 50.
XBS (Extra Strong Sell): HL2 crosses under LMA, is below HLMA, down volume is greater than up volume, and (optionally) RSI < 50.
Enable/Disable XSB/XBS: You can turn these signals on or off via script inputs.
4. Take Profit (TP) and Stop Loss (SL) Levels
TP and SL are dynamically calculated based on the difference between HMA and LMA, providing contextually relevant exit levels.
5. Regression Channel and Prediction
Linear Regression Line: Plots a regression line over the lookback period to show the underlying trend.
ATR Channel: Adds an upper and lower channel around the regression line using ATR (Average True Range) for a realistic prediction envelope.
Forward Projection: Projects the regression line forward by a user-defined number of bars, visually showing where the trend could extend if current momentum persists.
6. Pattern Recognition
Higher Highs/Lows and Lower Highs/Lows: Marks bars where new higher highs/lows or lower highs/lows are set, helping you spot trend continuation or reversal points.
7. Status Table
A table shows the current price’s relationship to HMA, HLMA, and LMA, color-coded for quick visual interpretation.
User Instructions
Inputs
Number of Lookback Bars: Sets the period for all moving averages and regression calculations.
Prediction Length: (Legacy; not used in current logic.)
TURN ON OR OFF XSB/XBS Signal: Toggle extra strong buy/sell signals.
Enable RSI Filter: Only allow signals when RSI is in the correct zone.
RSI Period: Sets the sensitivity of the RSI filter.
Table Position: Choose where the status table appears on your chart.
ATR Length & Multiplier: Control the width of the regression prediction channel.
Bars Forward (Projection): Number of bars to project the regression line into the future.
How to Use
Add the script to your TradingView chart.
Adjust inputs to suit your asset and timeframe.
Interpret signals:
BUY (B) and SELL (S): Appear as green/red labels below/above bars.
XSB (blue) and XBS (orange): Indicate extra strong buy/sell conditions.
HH/HL (green triangles): New higher highs/lows.
LH/LL (red triangles): New lower highs/lows.
Watch the regression channel: The yellow regression line shows the trend; the shaded band indicates expected volatility.
Check the projection: The dashed magenta line projects the regression trend forward, giving a visual target for price continuation.
Use the table: Quickly see if price is above or below each moving average.
Interpreting the Prediction Aspects
Regression Line & Channel
Regression Line (Yellow): Represents the best-fit line of price over the lookback period, showing overall trend direction.
ATR Channel: The upper and lower bands (yellow, semi-transparent) account for typical volatility, suggesting a range where price is likely to stay if the trend continues.
Forward Projection
Dashed Magenta Line: Projects the regression line forward by the specified number of bars, using the current slope. This is a trend continuation forecast—not a guarantee, but a statistically reasonable path if current conditions persist.
How to use: If price is respecting the regression trend and within the channel, the projection provides a visual target for where price might go in the near future.
TP/SL Levels
TP (Take Profit): Suggests a price target above the current HL2, based on recent volatility.
SL (Stop Loss): Suggests a protective stop below HL2.
Best Practices & Warnings
No indicator is perfect! Always combine signals with your own analysis and risk management.
Regression projection is not a crystal ball: It simply extends the current trend, which can and will change, especially after big news or at support/resistance.
Use on liquid, trending assets for best results.
Adjust lookback and ATR settings for your market and timeframe.
Summary Table Example
Price vs HMA vs HLMA vs LMA
43000 +100 +50 -20
Green: Price is above average (bullish).
Red: Price is below average (bearish).
Yellow: Price is very close to the average (neutral).
Final Notes
This script is designed to be a multi-tool for trend trading and prediction, combining classic and modern techniques. The forward projection helps visualize possible future price action, while signals and overlays keep you informed of trend shifts and trade opportunities.
High-Mid-Low 200 Day and Buy Levels and labels
Volume-Scaled PVR with Dynamic Buy Levels (ETF investing Visual Aid)
Description
This indicator is designed primarily for exchange-traded fund (ETF) traders and investors who seek a broad, visual tool to assist in identifying favorable buy and sell regions based on key price levels in relation to High and Lows of the ETF.
Key Features
Lookback Reference Levels:
Automatically identifies and plots key price levels within a user-defined lookback period:
Period High: Highest price in the lookback window.
Period Low: Lowest price in the lookback window.
Mid-Line: Midpoint between the period high and low.
Detailed Percentage Labels:
Displays percentage distances from the current price to the period high, period low, and their respective most recent occurrences, along with bar-counts for context, allowing quick assessment of price positioning relative to significant recent highs and lows.
Dynamic Buy-Level Lines for Multiple ETFs:
Supports a configurable list of ETF tickers with predefined buy price levels. When charting one of these ETFs, a horizontal line and label mark the specified buy price level, serving as a visual reminder or guide for entries.
Lightweight and Visual:
Designed to overlay directly on price charts with minimal clutter, providing clean and insightful visual references to inform buy-low and sell-high decisions.
How It Helps You
Offers broad, contextual cues to guide "buy low, sell high" strategies on ETFs by visualizing:
Where price currently stands within recent high/low ranges.
Specific buy price levels personalized for tracked ETFs as a check before committing.
Flexible lookback parameters allow tuning sensitivity to your preferred timeframes and trading style.
Usage Notes
Customize the list of ETFs and associated buy prices within the script via arrays to suit your watchlist. (Make a working copy to update Arrays, ensure pair matching).
Best applied on daily or higher timeframes for clearer trend dynamics.
This is a visual aid and should be combined with your own analysis and risk management techniques and other standard/established indicators.
Info TableOverview
The Info Table V1 is a versatile TradingView indicator tailored for intraday futures traders, particularly those focusing on MESM2 (Micro E-mini S&P 500 futures) on 1-minute charts. It presents essential market insights through two customizable tables: the Main Table for predictive and macro metrics, and the New Metrics Table for momentum and volatility indicators. Designed for high-activity sessions like 9:30 AM–11:00 AM CDT, this tool helps traders assess price alignment, sentiment, and risk in real-time. Metrics update dynamically (except weekly COT data), with optional alerts for key conditions like volatility spikes or momentum shifts.
This indicator builds on foundational concepts like linear regression for predictions and adapts open-source elements for enhanced functionality. Gradient code is adapted from TradingView's Color Library. QQE logic is adapted from LuxAlgo's QQE Weighted Oscillator, licensed under CC BY-NC-SA 4.0. The script is released under the Mozilla Public License 2.0.
Key Features
Two Customizable Tables: Positioned independently (e.g., top-right for Main, bottom-right for New Metrics) with toggle options to show/hide for a clutter-free chart.
Gradient Coloring: User-defined high/low colors (default green/red) for quick visual interpretation of extremes, such as overbought/oversold or high volatility.
Arrows for Directional Bias: In the New Metrics Table, up (↑) or down (↓) arrows appear in value cells based on metric thresholds (top/bottom 25% of range), indicating bullish/high or bearish/low conditions.
Consensus Highlighting: The New Metrics Table's title cells ("Metric" and "Value") turn green if all arrows are ↑ (strong bullish consensus), red if all are ↓ (strong bearish consensus), or gray otherwise.
Predicted Price Plot: Optional line (default blue) overlaying the ML-predicted price for visual comparison with actual price action.
Alerts: Notifications for high/low Frahm Volatility (≥8 or ≤3) and QQE Bias crosses (bullish/bearish momentum shifts).
Main Table Metrics
This table focuses on predictive, positional, and macro insights:
ML-Predicted Price: A linear regression forecast using normalized price, volume, and RSI over a customizable lookback (default 500 bars). Gradient scales from low (red) to high (green) relative to the current price ± threshold (default 100 points).
Deviation %: Percentage difference between current price and predicted price. Gradient highlights extremes (±0.5% default threshold), signaling potential overextensions.
VWAP Deviation %: Percentage difference from Volume Weighted Average Price (VWAP). Gradient indicates if price is above (green) or below (red) fair value (±0.5% default).
FRED UNRATE % Change: Percentage change in U.S. unemployment rate (via FRED data). Cell turns red for increases (economic weakness), green for decreases (strength), gray if zero or disabled.
Open Interest: Total open MESM2 futures contracts. Gradient scales from low (red) to high (green) up to a hardcoded 300,000 threshold, reflecting market participation.
COT Commercial Long/Short: Weekly Commitment of Traders data for commercial positions. Long cell green if longs > shorts (bullish institutional sentiment); Short cell red if shorts > longs (bearish); gray otherwise.
New Metrics Table Metrics
This table emphasizes technical momentum and volatility, with arrows for quick bias assessment:
QQE Bias: Smoothed RSI vs. trailing stop (default length 14, factor 4.236, smooth 5). Green for bullish (RSI > stop, ↑ arrow), red for bearish (RSI < stop, ↓ arrow), gray for neutral.
RSI: Relative Strength Index (default period 14). Gradient from oversold (red, <30 + threshold offset, ↓ arrow if ≤40) to overbought (green, >70 - offset, ↑ arrow if ≥60).
ATR Volatility: Score (1–20) based on Average True Range (default period 14, lookback 50). High scores (green, ↑ if ≥15) signal swings; low (red, ↓ if ≤5) indicate calm.
ADX Trend: Average Directional Index (default period 14). Gradient from weak (red, ↓ if ≤0.25×25 threshold) to strong trends (green, ↑ if ≥0.75×25).
Volume Momentum: Score (1–20) comparing current to historical volume (lookback 50). High (green, ↑ if ≥15) suggests pressure; low (red, ↓ if ≤5) implies weakness.
Frahm Volatility: Score (1–20) from true range over a window (default 24 hours, multiplier 9). Dynamic gradient (green/red/yellow); ↑ if ≥7.5, ↓ if ≤2.5.
Frahm Avg Candle (Ticks): Average candle size in ticks over the window. Blue gradient (or dynamic green/red/yellow); ↑ if ≥0.75 percentile, ↓ if ≤0.25.
Arrows trigger on metric-specific logic (e.g., RSI ≥60 for ↑), providing directional cues without strict color ties.
Customization Options
Adapt the indicator to your strategy:
ML Inputs: Lookback (10–5000 bars) and RSI period (2+) for prediction sensitivity—shorter for volatility, longer for trends.
Timeframes: Individual per metric (e.g., 1H for QQE Bias to match higher frames; blank for chart timeframe).
Thresholds: Adjust gradients and arrows (e.g., Deviation 0.1–5%, ADX 0–100, RSI overbought/oversold).
QQE Settings: Length, factor, and smooth for fine-tuned momentum.
Data Toggles: Enable/disable FRED, Open Interest, COT for focus (e.g., disable macro for pure intraday).
Frahm Options: Window hours (1+), scale multiplier (1–10), dynamic colors for avg candle.
Plot/Table: Line color, positions, gradients, and visibility.
Ideal Use Case
Perfect for MESM2 scalpers and trend traders. Use the Main Table for entry confirmation via predicted deviations and institutional positioning. Leverage the New Metrics Table arrows for short-term signals—enter bullish on green consensus (all ↑), avoid chop on low volatility. Set alerts to catch shifts without constant monitoring.
Why It's Valuable
Info Table V1 consolidates diverse metrics into actionable visuals, answering critical questions: Is price mispriced? Is momentum aligning? Is volatility manageable? With real-time updates, consensus highlights, and extensive customization, it enhances precision in fast markets, reducing guesswork for confident trades.
Note: Optimized for futures; some metrics (OI, COT) unavailable on non-futures symbols. Test on demo accounts. No financial advice—use at your own risk.
The provided script reuses open-source elements from TradingView's Color Library and LuxAlgo's QQE Weighted Oscillator, as noted in the script comments and description. Credits are appropriately given in both the description and code comments, satisfying the requirement for attribution.
Regarding significant improvements and proportion:
The QQE logic comprises approximately 15 lines of code in a script exceeding 400 lines, representing a small proportion (<5%).
Adaptations include integration with multi-timeframe support via request.security, user-customizable inputs for length, factor, and smooth, and application within a broader table-based indicator for momentum bias display (with color gradients, arrows, and alerts). This extends the original QQE beyond standalone oscillator use, incorporating it as one of seven metrics in the New Metrics Table for confluence analysis (e.g., consensus highlighting when all metrics align). These are functional enhancements, not mere stylistic or variable changes.
The Color Library usage is via official import (import TradingView/Color/1 as Color), leveraging built-in gradient functions without copying code, and applied to enhance visual interpretation across multiple metrics.
The script complies with the rules: reused code is minimal, significantly improved through integration and expansion, and properly credited. It qualifies for open-source publication under the Mozilla Public License 2.0, as stated.
IDKFAIDKFA - Advanced Order Blocks & Volume Profile with Market Structure Analysis
Why IDKFA?
Named after the legendary DOOM cheat code that gives players "all weapons and full ammo," IDKFA provides traders with a comprehensive arsenal of market analysis tools. Just as the cheat code arms players with everything needed for combat, this indicator equips traders with essential market structure tools: Order Blocks, Volume Profile, LVN/HVN areas, Fibonacci retracements, and intelligent buy/sell signals - all in one unified system.
Core Features
Order Blocks Detection
Automatically identifies institutional order blocks using pivot high/low analysis
Extends blocks dynamically until price interaction occurs
Bullish blocks (demand zones) and bearish blocks (supply zones)
Customizable opacity and extend functionality
Advanced Volume Profile
Real-time volume profile calculation for multiple session types
Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL)
Mode 1: Side-by-side bull/bear volume display
Mode 2: Overlapped volume display with percentage analysis
Shows buying vs selling pressure at each price level
LVN/HVN Area Detection
Low Volume Nodes (LVN): Areas below VAL where price moves quickly
High Volume Nodes (HVN): Areas above VAH with strong resistance
NPOC (Naked Point of Control): Single print areas within Value Area
Volume-based gradient coloring shows relative activity levels
Smart Fibonacci Retracements
Auto-detects trend direction for proper fibonacci orientation
Dynamic color coding: Red levels in uptrends, Gold in downtrends
Special 88.6% level turns lime green in downtrends
Key levels: 23.6%, 38.2%, 50%, 61.8%, 65%, 78.6%, 88.6%
Intelligent Signal System
Works best on higher timeframes
Identifies high-probability reversal setups at key levels
Buy signals: Large bearish rejection followed by bullish reclaim
Sell signals: Large bullish rejection followed by bearish breakdown
Signals only trigger near significant support/resistance areas
Signal Analysis & Usage Guidelines
Buy Signal Mechanics
The buy signal triggers when:
Previous candle shows significant bearish movement (minimum ATR multiplier)
Current candle reclaims a configurable percentage of the previous candle's range
Price is near a key support level (order blocks, fibonacci, volume levels)
Sell Signal Mechanics
The sell signal triggers when:
Previous candle shows significant bullish movement (minimum ATR multiplier)
Current candle rejects below a configurable percentage of the previous candle's range
Price is near a key resistance level (order blocks, fibonacci, volume levels)
When to TAKE Signals
High Probability Buy Signals:
Signal appears AT or BELOW the VAL (Value Area Low)
Signal occurs at bullish order block confluence
Price is in LVN area below VAL (momentum acceleration zone)
Signal aligns with fibonacci 61.8% or 78.6% support
Multiple session POC levels provide support confluence
Previous session's VAL acting as current support
High Probability Sell Signals:
Signal appears AT or ABOVE the VAH (Value Area High)
Signal occurs at bearish order block confluence
Price is in HVN area above VAH (heavy resistance zone)
Signal aligns with fibonacci 61.8% or 78.6% resistance
Multiple session POC levels provide resistance confluence
Previous session's VAH acting as current resistance
When to AVOID Signals
Avoid Buy Signals When:
Signal appears ABOVE the VAH (buying into resistance)
Price is in HVN red zones (high volume resistance areas)
No clear support structure below current price
Volume profile shows heavy selling pressure (high bear percentages)
Signal occurs during low-volume periods between major sessions
Multiple bearish order blocks exist below current price
Avoid Sell Signals When:
Signal appears BELOW the VAL (selling into support)
Price is in LVN green zones (momentum could continue)
No clear resistance structure above current price
Volume profile shows heavy buying pressure (high bull percentages)
Signal occurs during Asian session ranges without clear direction
Multiple bullish order blocks exist above current price
Volume Profile Context for Signals
Understanding Bull/Bear Percentages:
70%+ Bull dominance at a level = Strong support expected
70%+ Bear dominance at a level = Strong resistance expected
50/50 Split = Neutral zone, less predictable
Use percentages to gauge conviction behind moves
POC (Point of Control) Interactions:
Signals above POC in uptrend = Higher probability
Signals below POC in downtrend = Higher probability
Signals against POC bias require extra confirmation
POC often acts as magnetic level for price return
Trading Strategies
Strategy 1: VAL/VAH Bounce Strategy
Wait for price to approach VAL (support) or VAH (resistance)
Look for signal confirmation at these critical levels
Enter with tight stops beyond the Value Area
Target opposite boundary or next session's levels
Strategy 2: Order Block + Volume Confluence
Identify order block alignment with VAL/VAH
Wait for signal within the confluence zone
Enter on signal with stop beyond order block
Use LVN areas as acceleration zones for targets
Strategy 3: LVN/HVN Strategy
LVN (Green) Areas: "Go Zones" - expect quick price movement through low volume
HVN (Red) Areas: "Stop Zones" - expect resistance and potential reversals
NPOC Areas: "Fill Zones" - price often returns to fill single print gaps
Strategy 4: Multi-Session Analysis
Use Daily/Weekly for major structure context
Use 4H for intermediate levels
Use 1H for precise entry timing
Ensure all timeframes align before taking signals
Strategy 5: Fibonacci + Volume Profile
Buy signals at 61.8% or 78.6% fibonacci near VAL
Sell signals at 61.8% or 78.6% fibonacci near VAH
Use 88.6% level as final support/resistance before major moves
50% level often aligns with POC for confluence
Signal Quality Assessment
Grade A Signals (Highest Probability):
Signal at VAL/VAH with order block confluence
Fibonacci level alignment (61.8%, 78.6%)
Volume profile shows 70%+ dominance in signal direction
Multiple timeframe structure alignment
Signal occurs during high-volume sessions (London/NY)
Grade B Signals (Moderate Probability):
Signal near POC with some confluence
Fibonacci 50% or 38.2% alignment
Mixed volume profile readings (50-70% dominance)
Some timeframe alignment present
Signal during overlap sessions
Grade C Signals (Lower Probability):
Signal with minimal confluence
Weak fibonacci alignment or none
Volume profile neutral or against signal
Conflicting timeframe signals
Signal during low-volume periods
Risk Management Guidelines
Position Sizing Based on Signal Quality:
Grade A: Standard position size
Grade B: Reduced position size (50-75%)
Grade C: Minimal position size (25%) or skip entirely
Stop Loss Placement:
Beyond order block boundaries
Outside Value Area (VAL/VAH)
Below/above fibonacci confluence levels
Account for session volatility ranges
Profit Targets:
First target: Opposite VAL/VAH boundary
Second target: Next session's key levels
Final target: Major order blocks or fibonacci extensions
Credits & Attribution
Original components derived from:
Market Sessions & Volume Profile by © Leviathan (Mozilla Public License 2.0)
Volume Profile elements inspired by @LonesomeTheBlue's volume profile script
Pivot Order Blocks by TradingWolf / © MensaTrader (Mozilla Public License 2.0)
Auto Fibonacci Retracement code (public domain)
Significant enhancements and modifications include:
Advanced LVN/HVN detection and visualization
Bull/Bear percentage analysis for Mode 2/3
Comprehensive alert system with market context
Integrated buy/sell signals at key levels
Performance optimizations and extended session support
Enhanced Mode 2/3 with percentage pressure analysis
Important Disclaimers
This indicator is a technical analysis tool designed for educational purposes. It does not provide financial advice, investment recommendations, or trading signals that guarantee profits. All trading involves substantial risk of loss, and past performance does not guarantee future results. Users should conduct their own research, understand the risks involved, and consider consulting with qualified financial advisors before making trading decisions. The signals and analysis provided are based on historical price patterns and volume data, which may not predict future market movements accurately.
Best Practices
Never trade signals blindly - always consider volume profile context
Wait for confluence between multiple tools before entering
Respect the Value Area - avoid buying above VAH or selling below VAL
Use session context - Asian ranges vs London/NY breakouts
Practice proper risk management - position size based on signal quality
Understand the bigger picture - use multiple timeframes for context
Remember: Like the IDKFA cheat code, having all the tools doesn't guarantee success. The key is learning to use them together effectively and understanding when NOT to take a signal is often more important than knowing when to take one.
Open Range Breakout (ORB) with Alerts
🚀 ChartsAlgo – Open Range Breakout (ORB) with Alerts
The Open Range Breakout (ORB) Indicator by ChartsAlg is designed for intraday traders looking to capitalize on price movements after the market’s opening range. This tool is especially effective for futures (MNQ, MES) and high-volatility stocks or crypto where initial volatility sets the tone for the session.
This indicator identifies a user-defined opening range window, plots the high/low lines of that range, and visually alerts users when price breaks out above or below the range — with options to customize breakout repetitions, background fill, and alerts.
💡 What is an Open Range Breakout (ORB)?
The opening range represents the high and low established during the first few minutes of the trading session — usually 15 or 30 minutes. Many intraday strategies are based on the idea that breaking out of this initial range often signals strong momentum and trend continuation.
Traders often enter:
Long when price breaks above the range high.
Short when price breaks below the range low.
⚙️ How It Works
You define a session window (e.g., 09:30–09:45 EST).
The indicator tracks the high and low during this time.
Once the session ends, the high and low become your range breakout levels.
The indicator then:
Plots lines for visual clarity
Optionally fills background between the range
Triggers breakout signals if price crosses the levels
Provides alerts when breakouts occur
🛠️ Settings Breakdown
🔹 Session Settings
Range Session: Set your preferred window (e.g., 0930–0945). Can be premarket, first 30 mins, or any custom time.
Time zone: Use "America/New York" for EST (default) or change to "GMT+0" for international traders.
🔹 Breakout Settings
Bullish Breakout Signals: Number of allowed breakout alerts above the range.
Bearish Breakout Signals: Number of allowed breakout alerts below the range.
This prevents repeated alerts once breakout has been confirmed.
🔹 Display Settings
Show Background Fill: Fills area between high/low of the range for easier visual analysis.
Show Breakout Signals: Triangle markers plotted on the chart when breakouts happen.
Only Show Today’s Range: Keeps the chart clean by showing only the most current day’s range.
🔹 Color Settings
Range High/Low Line Colors: Choose any color for clarity.
Range Fill Color: Customize the highlight area for your chart style.
📊 Chart Features
Range High/Low Lines: Automatically plotted after range session ends.
Visual Fill Box: Optional background shading between the opening range.
Triangle Breakout Markers: Appear at the breakout candle.
Alerts: Can be used with TradingView’s alert system to notify you of breakouts in real-time.
🔔 Alerts
Two alert conditions are built in:
Bullish Breakout: Triggers when price breaks above the high of the range.
Bearish Breakout: Triggers when price breaks below the low of the range.
Example Alert Message:
📈 “Bullish Breakout above Open Range on AAPL!”
To activate:
Click “🔔 Alerts” on TradingView.
Set condition to this script.
Choose “ORB Breakout Up” or “ORB Breakout Down”.
Choose alert frequency and notification method.
⚠️ DISCLAIMER
ChartsAlgo tools are for informational and educational purposes only.
They are not financial advice or signals. Past performance does not guarantee future results. Use at your own risk and always implement solid risk management.
By using this indicator, you agree that you are solely responsible for any trades or decisions made based on the information provided.
OBV ATR Strategy (OBV Breakout Channel) bas20230503ผมแก้ไขจาก OBV+SMA อันเดิม ของเดิม ดูที่เส้น SMA สองเส้นตัดกันมั่นห่วยแตกสำหรับที่ผมลองเทรดจริง และหลักการเบรค ได้แรงบันดาลใจ ATR จาก เทพคอย ที่ใช้กับราคา แต่นี้ใช้กับ OBV แทน
และผมใช้เจมินี้ เพื่อแก้ ให้ เป็น strategy เพื่อเช็คย้อนหลังได้ง่ายกว่าเดิม
หลักการง่ายคือถ้ามันขึ้น มันจะขึ้นเรื่อยๆ
เขียน แบบสุภาพ (น่าจะอ่านได้ง่ายกว่าผมเขียน)
สคริปต์นี้ได้รับการพัฒนาต่อยอดจากแนวคิด OBV+SMA Crossover แบบดั้งเดิม ซึ่งจากการทดสอบส่วนตัวพบว่าประสิทธิภาพยังไม่น่าพอใจ กลยุทธ์ใหม่นี้จึงเปลี่ยนมาใช้หลักการ "Breakout" ซึ่งได้รับแรงบันดาลใจมาจากการใช้ ATR สร้างกรอบของราคา แต่เราได้นำมาประยุกต์ใช้กับ On-Balance Volume (OBV) แทน นอกจากนี้ สคริปต์ได้ถูกแปลงเป็น Strategy เต็มรูปแบบ (โดยความช่วยเหลือจาก Gemini AI) เพื่อให้สามารถทดสอบย้อนหลัง (Backtest) และประเมินประสิทธิภาพได้อย่างแม่นยำ
หลักการของกลยุทธ์: กลยุทธ์นี้ทำงานบนแนวคิดโมเมนตัมที่ว่า "เมื่อแนวโน้มได้เกิดขึ้นแล้ว มีโอกาสที่มันจะดำเนินต่อไป" โดยจะมองหาการทะลุของพลังซื้อ-ขาย (OBV) ที่แข็งแกร่งเป็นพิเศษเป็นสัญญาณเข้าเทร
----
สคริปต์นี้เป็นกลยุทธ์ (Strategy) ที่ใช้ On-Balance Volume (OBV) ซึ่งเป็นอินดิเคเตอร์ที่วัดแรงซื้อและแรงขายสะสม แทนที่จะใช้การตัดกันของเส้นค่าเฉลี่ย (SMA Crossover) ที่เป็นแบบพื้นฐาน กลยุทธ์นี้จะมองหาการ "ทะลุ" (Breakout) ของพลัง OBV ออกจากกรอบสูงสุด-ต่ำสุดของตัวเองในรอบที่ผ่านมา
สัญญาณกระทิง (Bull Signal): เกิดขึ้นเมื่อพลังการซื้อ (OBV) แข็งแกร่งจนสามารถทะลุจุดสูงสุดของตัวเองในอดีตได้ บ่งบอกถึงโอกาสที่แนวโน้มจะเปลี่ยนเป็นขาขึ้น
สัญญาณหมี (Bear Signal): เกิดขึ้นเมื่อพลังการขาย (OBV) รุนแรงจนสามารถกดดันให้ OBV ทะลุจุดต่ำสุดของตัวเองในอดีตได้ บ่งบอกถึงโอกาสที่แนวโน้มจะเปลี่ยนเป็นขาลง
ส่วนประกอบบนกราฟ (Indicator Components)
เส้น OBV
เส้นหลัก ที่เปลี่ยนเขียวเป็นแดง เป็นทั้งแนวรับและแนวต้าน และ จุด stop loss
เส้นนี้คือหัวใจของอินดิเคเตอร์ ที่แสดงถึงพลังสะสมของ Volume
เมื่อเส้นเป็นสีเขียว (แนวรับ): จะปรากฏขึ้นเมื่อกลยุทธ์เข้าสู่ "โหมดกระทิง" เส้นนี้คือระดับต่ำสุดของ OBV ในอดีต และทำหน้าที่เป็นแนวรับไดนามิก
เมื่อเส้นกลายเป็นสีแดงสีแดง (แนวต้าน): จะปรากฏขึ้นเมื่อกลยุทธ์เข้าสู่ "โหมดหมี" เส้นนี้คือระดับสูงสุดของ OBV ในอดีต และทำหน้าที่เป็นแนวต้านไดนามิก
สัญลักษณ์สัญญาณ (Signal Markers):
Bull 🔼 (สามเหลี่ยมขึ้นสีเขียว): คือสัญญาณ "เข้าซื้อ" (Long) จะปรากฏขึ้น ณ จุดที่ OBV ทะลุขึ้นไปเหนือกรอบด้านบนเป็นครั้งแรก
Bear 🔽 (สามเหลี่ยมลงสีแดง): คือสัญญาณ "เข้าขาย" (Short) จะปรากฏขึ้น ณ จุดที่ OBV ทะลุลงไปต่ำกว่ากรอบด้านล่างเป็นครั้งแรก
วิธีการใช้งาน (How to Use)
เพิ่มสคริปต์นี้ลงบนกราฟราคาที่คุณสนใจ
ไปที่แท็บ "Strategy Tester" ด้านล่างของ TradingView เพื่อดูผลการทดสอบย้อนหลัง (Backtest) ของกลยุทธ์บนสินทรัพย์และไทม์เฟรมต่างๆ
ใช้สัญลักษณ์ "Bull" และ "Bear" เป็นตัวช่วยในการตัดสินใจเข้าเทรด
ข้อควรจำ: ไม่มีกลยุทธ์ใดที่สมบูรณ์แบบ 100% ควรใช้สคริปต์นี้ร่วมกับการวิเคราะห์ปัจจัยอื่นๆ เช่น โครงสร้างราคา, แนวรับ-แนวต้านของราคา และการบริหารความเสี่ยง (Risk Management) ของตัวคุณเองเสมอ
การตั้งค่า (Inputs)
SMA Length 1 / SMA Length 2: ใช้สำหรับพล็อตเส้นค่าเฉลี่ยของ OBV เพื่อดูเป็นภาพอ้างอิง ไม่มีผลต่อตรรกะการเข้า-ออกของ Strategy อันใหม่ แต่มันเป็นของเก่า ถ้าชอบ ก็ใช้ได้ เมื่อ SMA สองเส้นตัดกัน หรือตัดกับเส้น OBV
High/Low Lookback Length: (ค่าพื้นฐาน30/แก้ตรงนี้ให้เหมาะสมกับ coin หรือหุ้น ตามความผันผวน ) คือระยะเวลาที่ใช้ในการคำนวณกรอบสูงสุด-ต่ำสุดของ OBV
ค่าน้อย: ทำให้กรอบแคบลง สัญญาณจะเกิดไวและบ่อยขึ้น แต่อาจมีสัญญาณหลอก (False Signal) เยอะขึ้น
ค่ามาก: ทำให้กรอบกว้างขึ้น สัญญาณจะเกิดช้าลงและน้อยลง แต่มีแนวโน้มที่จะเป็นสัญญาณที่แข็งแกร่งกว่า
แน่นอนครับ นี่คือคำแปลฉบับภาษาอังกฤษที่สรุปใจความสำคัญ กระชับ และสุภาพ เหมาะสำหรับนำไปใช้ในคำอธิบายสคริปต์ (Description) ของ TradingView ครับ
---Translate to English---
OBV Breakout Channel Strategy
This script is an evolution of a traditional OBV+SMA Crossover concept. Through personal testing, the original crossover method was found to have unsatisfactory performance. This new strategy, therefore, uses a "Breakout" principle. The inspiration comes from using ATR to create price channels, but this concept has been adapted and applied to On-Balance Volume (OBV) instead.
Furthermore, the script has been converted into a full Strategy (with assistance from Gemini AI) to enable precise backtesting and performance evaluation.
The strategy's core principle is momentum-based: "once a trend is established, it is likely to continue." It seeks to enter trades on exceptionally strong breakouts of buying or selling pressure as measured by OBV.
Core Concept
This is a Strategy that uses On-Balance Volume (OBV), an indicator that measures cumulative buying and selling pressure. Instead of relying on a basic Simple Moving Average (SMA) Crossover, this strategy identifies a "Breakout" of the OBV from its own highest-high and lowest-low channel over a recent period.
Bull Signal: Occurs when the buying pressure (OBV) is strong enough to break above its own recent highest high, indicating a potential shift to an upward trend.
Bear Signal: Occurs when the selling pressure (OBV) is intense enough to push the OBV below its own recent lowest low, indicating a potential shift to a downward trend.
On-Screen Components
1. OBV Line
This is the main indicator line, representing the cumulative volume. Its color changes to green when OBV is rising and red when it is falling.
2. Dynamic Support & Resistance Line
This is the thick Green or Red line that appears based on the strategy's current "mode." This line serves as a dynamic support/resistance level and can be used as a reference for stop-loss placement.
Green Line (Support): Appears when the strategy enters "Bull Mode." This line represents the lowest low of the OBV in the recent past and acts as dynamic support.
Red Line (Resistance): Appears when the strategy enters "Bear Mode." This line represents the highest high of the OBV in the recent past and acts as dynamic resistance.
3. Signal Markers
Bull 🔼 (Green Up Triangle): This is the "Long Entry" signal. It appears at the moment the OBV first breaks out above its high-low channel.
Bear 🔽 (Red Down Triangle): This is the "Short Entry" signal. It appears at the moment the OBV first breaks down below its high-low channel.
How to Use
Add this script to the price chart of your choice.
Navigate to the "Strategy Tester" panel at the bottom of TradingView to view the backtesting results for the strategy on different assets and timeframes.
Use the "Bull" and "Bear" signals as aids in your trading decisions.
Disclaimer: No strategy is 100% perfect. This script should always be used in conjunction with other forms of analysis, such as price structure, key price-based support/resistance levels, and your own personal risk management rules.
Inputs
SMA Length 1 / SMA Length 2: These are used to plot moving averages on the OBV for visual reference. They are part of the legacy logic and do not affect the new breakout strategy. However, they are kept for traders who may wish to observe their crossovers for additional confirmation.
High/Low Lookback Length: (Most Important Setting) This determines the period used to calculate the highest-high and lowest-low OBV channel. (Default is 30; adjust this to suit the asset's volatility).
A smaller value: Creates a narrower channel, leading to more frequent and faster signals, but potentially more false signals.
A larger value: Creates a wider channel, leading to fewer and slower signals, which are likely to be more significant.
Opening Range 15 minThis indicator highlights the Opening Range (OR) for the first 15 minutes (9:30–9:45 AM EST). It visually plots high/low lines and a shaded box to define this range, helping traders identify key intraday levels for potential breakout or rejection scenarios. The script also provides optional overlays for the Previous Day’s High/Low and the Extended Hours High/Low, offering a complete context for day trading setups.
Main Features:
Opening Range Detection – Automatically calculates and draws the high/low of the 9:30–9:45 AM session.
Visual Enhancements – Includes customizable lines, shaded boxes, and labels to mark the OR high (ORH) and low (ORL) levels.
Previous Day High/Low (Optional) – Plots and labels the previous day's high and low for reference during current day trading.
Extended Hours High/Low (Optional, when ETH enabled) – Displays overnight session levels for added insight into early volatility (4:00 AM to 9:30 AM EST).
User Customization – Easily adjust colors, label styles, and visibility for all plotted levels and regions.
Algo Structure [ValiantTrader_]Explanation of the "Algo Structure" Trading Indicator
This Pine Script indicator, created by ValiantTrader_, is a multi-timeframe swing analysis tool that helps traders identify key price levels and market structure across different timeframes. Here's how it works and how traders can use it:
Core Components
1. Multi-Timeframe Swing Analysis
The indicator tracks swing highs and lows across:
The current chart timeframe
A higher timeframe (weekly by default)
An even higher timeframe (monthly by default)
2. Swing Detection Logic
Current timeframe swings: Identified when price makes a 3-bar high/low pattern
Higher timeframe swings: Uses the highest high/lowest low of the last 3 bars on those timeframes
3. Visual Elements
Horizontal lines marking swing points
Labels showing the timeframe and percentage distance from current price
An information table summarizing key levels
How Traders Use This Indicator
1. Identifying Key Levels
The indicator draws recent swing highs (red) and swing lows (green)
These levels act as potential support/resistance areas
Traders watch for price reactions at these levels
2. Multi-Timeframe Analysis
By seeing swings from higher timeframes (weekly, monthly), traders can:
Identify more significant support/resistance zones
Understand the broader market context
Spot confluence areas where multiple timeframes align
3. Measuring Price Distance
The percentage display shows how far current price is from each swing level
Helps assess potential reward/risk at current levels
Shows volatility between swings (wider % = more volatile moves)
4. Table Summary
The info table provides a quick reference for:
Exact price levels of swings
Percentage ranges between highs and lows
Comparison across timeframes
5. Trading Applications
Breakout trading: When price moves beyond a swing high/low
Mean reversion: Trading bounces between swing levels
Trend confirmation: Higher highs/lows in multiple timeframes confirm trends
Support/resistance trading: Entering trades at swing levels with other confirmation
Customization Options
Traders can adjust:
The higher timeframes analyzed
Whether to show the timeframe labels
Whether to display swing levels
Whether to show the info table
The indicator also includes price alerts for new swing highs/lows on the current timeframe, allowing traders to get notifications when market structure changes.
This tool is particularly valuable for traders who incorporate multi-timeframe analysis into their strategy, helping them visualize important price levels across different time perspectives
cd_respect2_EQ_Cx🔹 Overview:
Many traders form a bias or look for trade setups by analyzing the high (H) and low (L) of previous higher timeframe candles. For example: a close above the previous daily high, a failure to close after breaking the high, or approaching the level without making a new high. As we’ve been taught to focus on these key levels, I wanted to draw attention to what's happening at the mid-levels (Equilibrium) of the current and higher timeframe candles.
We’ve all heard the phrase “Strong price reacts from equilibrium,” yet most of us wait at the extremes.
While working on equilibrium levels of both higher timeframes and the current timeframe, I noticed that when a current candle closes above/below the previous HTF candle's high/low, price often respects the part of the candle that caused the break — which I refer to as the Last Block. When respected, price tends to continue with momentum; when lost, a pullback or reversal often follows.
________________________________________
🔹 About the Indicator:
This tool analyzes four different higher timeframes and shows:
• Current candle equilibrium levels
• Previous candle equilibrium levels (2 display options):
1. On Box – classic display
2. On Candle – equilibrium is linked to the last candle that includes the level, making those candles more meaningful or "strengthened"
• Alerts (standard) and on-screen warnings when price approaches previous equilibrium levels
• High/Low levels of previous HTF candles
• High/Low levels of live HTF candles
• Last Block: the upper or lower part of the candle that caused the breakout when price closes above/below the previous HTF high/low
• Countdown timer until the close of selected HTFs
________________________________________
🔹 Menus & Usage:
🔸 Show/Hide Tab:
• Toggle Previous Equilibrium display (On Candle / On Box)
• Toggle Live Equilibrium levels, color selection, and left extension
• Toggle Current Candle Equilibrium and colors
• Alert on Chart: flashing on-screen visual alert
• Approach Limit: sets how close price must be to trigger alert
• Remaining Time (RT): toggle countdown display for selected timeframes
________________________________________
🔸 HTF H/L Levels Tab:
• Show previous and live HTF candle highs/lows
• Customize colors, starting points, and left extension options
________________________________________
🔸 Timeframes & Options Tab:
• Select which timeframes to display
• Choose level colors
• Enable price alerts
• Control visibility in the time chart
• Toggle Last Block display (close-to-high/low)
________________________________________
🔸 Look Back HTF Candles Tab:
• Delete filled levels: removes invalidated zones; only unmitigated remain
• Back Control: set how many candles to look back per timeframe (unlimited if not set)
________________________________________
🔸 HTF Boxes Tab:
• Display HTF candles in boxes
• Set colors (single color or per timeframe)
• Adjust font sizes across the chart
________________________________________
🔹 Usage & Last Blocks:
The core idea behind both equilibrium levels and last blocks is:
Price should “gain” and respect them to validate continuation.
Viewing multiple timeframes together strengthens bias.
Each level is treated as part of the candle it's associated with — defining the “area to be gained.”
“Did price respect the level because of that candle, or did the candle gain significance because it aligned with the level? That’s open for debate.”
(In my opinion, the candle gains significance because it aligns with the level.)
When respected, these levels/blocks act as support; when lost, they act as resistance.
In suitable timeframes, reclaiming previous equilibrium levels may be interpreted as CHoCH / CISD / IDM depending on the context.
________________________________________
🔹 Usage Example – Last Blocks:
I personally trade on 1-minute and use Daily / H4 / H1 / 15m as selected timeframes.
For example, if price reclaims the previous 15m level, I view it as a Change of Character. I then expect the next candle to show respect in that direction.
Choose timeframes based on your trading style.
Sometimes, HTF levels (past and live) cluster tightly — these areas are key watch zones for me.
That’s the reason I decided to share this indicator.
________________________________________
🔹 Chart Examples:
🔸 Example 1:
Price closes above both the 12:45 15m candle and the 12:00 H1 equilibrium levels.
Last Block forms. After retracing, price mitigates the block and respects live equilibrium levels (H4/H1/15m).
🔸 Example 2:
Explained on chart – Levels that pushed price down in the bearish trend later acted as support.
🔸 Example 3 – CHoCH/CISD/IDM Alternative:
Explained on chart – Replacing structural signals with equilibrium levels.
I see this pattern often — very effective.
🔸 Example 4:
Many levels are clustered in a narrow range; price shows respect across the board.
________________________________________
🔹 Final Note:
Hope you like the tool. I’d love to hear your thoughts and suggestions.
"Keep in mind, strong price reverses from equilibrium."
Happy trading!
Market Sentiment Index US Top 40 [Pt]▮Overview
Market Sentiment Index US Top 40 [Pt} shows how the largest US stocks behave together. You pick one simple measure—High Low breakouts, Above Below moving average, or RSI overbought/oversold—and see how many of your chosen top 10/20/30/40 NYSE or NASDAQ names are bullish, neutral, or bearish.
This tool gives you a quick view of broad-market strength or weakness so you can time trades, confirm trends, and spot hidden shifts in market sentiment.
▮Key Features
► Three Simple Modes
High Low Index: counts stocks making new highs or lows over your lookback period
Above Below MA: flags stocks trading above or below their moving average
RSI Sentiment: marks overbought or oversold stocks and plots a small histogram
► Universe Selection
Top 10, 20, 30, or 40 symbols from NYSE or NASDAQ
Option to weight by market cap or treat all symbols equally
► Timeframe Choice
Use your chart’s timeframe or any intraday, daily, weekly, or monthly resolution
► Histogram Smoothing
Two optional moving averages on the sentiment bars
Markers show when the faster average crosses above or below the slower one
► Ticker Table
Optional on-chart table showing each ticker’s state in color
Grid or single-row layout with adjustable text size and color settings
▮Inputs
► Mode and Lookback
Pick High Low, Above Below MA, or RSI Sentiment
Set lookback length (for example 10 bars)
If using Above Below MA, choose the moving average type (EMA, SMA, etc.)
► Universe Setup
Market: NYSE or NASDAQ
Number of symbols: 10, 20, 30, or 40
Weights: on or off
Timeframe: blank to match chart or pick any other
► Moving Averages on Histogram
Enable fast and slow averages
Set their lengths and types
Choose colors for averages and markers
► Table Options
Show or hide the symbol table
Select text size: tiny, small, or normal
Choose layout: grid or one-row
Pick colors for bullish, neutral, and bearish cells
Show or hide exchange prefixes
▮How to Read It
► Sentiment Bars
Green means bullish
Red means bearish
Near zero means neutral
► Zero Line
Separates bullish from bearish readings
► High Low Line (High Low mode only)
Smooth ratio of highs versus lows over your lookback
► MA Crosses
Fast MA above slow MA hints rising breadth
Fast MA below slow MA hints falling breadth
► Ticker Table
Each cell colored green, gray, or red for bull, neutral, or bear
▮Use Cases
► Confirm Market Trends
Early warning when price makes highs but breadth is weak
Catch rallies when breadth turns strong while price is flat
► Spot Sector Rotation
Switch between NYSE and NASDAQ to see which group leads
Watch tech versus industrial breadth to track money flow
► Filter Trade Signals
Enter longs only when breadth is bullish
Consider shorts when breadth turns negative
► Combine with Other Indicators
Use RSI Sentiment with trend tools to spot overextended moves
Add volume indicators in High Low mode for breakout confirmation
► Timeframe Analysis
Daily for big-picture bias
Intraday (15-min) for precise entries and exits
Forex Session + Volume Profile [RunRox]📊 Forex Session + Volume Profile is built especially for traders who work with intra-session liquidity concepts or any strategy that needs a clear visual of trading sessions and the liquidity inside them.
Our team created this indicator to give you better session visibility, flexible session styling, and extra tools that help you navigate the market more easily.
📌 Features:
6 fully customizable sessions
Kill Zone (the high-impact trading window)
Volume Profile for each session
POC / VAL / VAH / LVN levels (Point of Control, Value Area Low, Value Area High, Low Volume Node)
PDH / PDL levels (Previous Day High / Low)
PWH / PWL levels (Previous Week High / Low)
NYM level (New York Market level)
Active sessions table
5 style options for each session
All of this gives you the flexibility to set up exactly the layout you need for your trading. Below, you’ll find a more detailed look at each feature.
🗓️ 6 CUSTOMIZABLE SESSION
The indicator includes six sessions that you can fully customize to fit your needs—everything from naming each session and choosing line colors to adjusting opacity, showing the volume profile, or even turning off a session entirely if you don’t need it.
Plus, you can pick different display styles for each session. As shown in the screenshot below, there are five style options you can apply individually to every session.
5 Style Options for Sessions
BOX
AREA
ZONES
LINES
CURVED
These styles can be customized for each session individually to help you highlight the sessions you care about on your chart. Example below
📢 VOLUME PROFILE
We’ve also integrated a Volume Profile into the indicator to pinpoint important levels on the chart. On top of that, we’ve added extra volume-based levels. Below, you’ll find the settings and a visual demo of how it appears on your chart.
To identify optimal entry points, you can use the following key reference levels:
POC (Point of Control)
VAL (Value Area Low)
VAH (Value Area High)
LVN (Low Volume Node)
You can also customize colors and line styles, or hide any levels you don’t need on your chart.
📐 ADDITIONAL LEVELS
You can display the following levels on your chart:
NYM (New York Market)
PDH (Previous Day High)
PDL (Previous Day Low)
PWH (Previous Week High)
PWL (Previous Week Low)
All of these are fully customizable with color selection and the option to extend lines into the next period.
💹 ACTIVE SESSION TABLE
The active sessions table helps you quickly identify the trading times for the sessions you care about. It’s fully customizable, with options to choose border and background colors for the table itself.
🟠 USAGE
This indicator is highly versatile: use it to simply mark trading sessions on your chart, set up the Kill Zone at your chosen time, or identify the context of the previous session by its most traded range levels. All of this makes the indicator an invaluable tool for any trader!
Opening Range and Market BoundariesOpening Range and Market Boundaries
This versatile and insightful indicator combines two powerful concepts frequently used by professional traders: Opening Range Analysis and Market Boundaries derived from previous high/low levels. It is specifically designed to support intraday trading strategies and helps you identify key price zones for entries, exits, and breakout confirmations.
🔍 Features & Utility
1. Opening Range Box
What it does:
Highlights the high and low of the first candle after market open (9:15 AM IST) with a shaded box. This box spans the full trading session, from 9:15 AM to 3:30 PM, representing the key price range where the initial balance is formed.
Timeframe Compatibility:
The Opening Range box is optimized for 1-minute to 1-hour charts. It is most effective on lower timeframes (1m, 5m, 15m, 30m) where intraday price movements and breakout patterns can be clearly observed.
Usage Tips:
Breakouts above or below the Opening Range box can signal potential directional bias for the rest of the trading day.
Price consolidating within the range may indicate a choppy or range-bound session.
Works well with volume and momentum indicators for confirmation.
2. Market Boundaries
What it does:
Plots horizontal lines at:
Previous Day High/Low
Previous Week High/Low
Previous Month High/Low
Why it matters:
These levels act as natural support and resistance zones, and are commonly watched by institutional traders, making them crucial for:
Spotting reversals or breakouts
Planning stop-loss and target zones
Avoiding trades around high-rejection areas
Customization Options:
Toggle ON/OFF for Daily, Weekly, and Monthly levels.
Independent colors and line thickness for each level, enabling you to distinguish between different timeframes easily.
🛠️ How to Use Effectively
Use during market open:
Switch to a 5-minute or 15-minute chart during the first few candles of the session. Observe the Opening Range box formation and plan trades based on breakout direction.
Confluence Trading:
Look for price action near previous session highs/lows in confluence with the Opening Range box edges. These intersections often become high-probability zones for breakouts or reversals.
Session Preparation:
Before the market opens, analyze where the price is relative to past high/low boundaries. If it's near a weekly/monthly level, be cautious — those areas can cause whipsaws or false breakouts.
Avoid low-volume breakouts:
Use this indicator in conjunction with volume tools or price action confirmation to validate the strength of a move outside the Opening Range or Market Boundaries.
📌 Summary
This indicator is designed for intraday traders, scalpers, and swing traders who want a reliable structure to guide their decisions. It visually marks the opening balance of the market and essential higher timeframe boundaries, helping you trade with discipline and precision.
[TTM] ICT Sessions & Ranges🌟 Overview 🌟
The ICT Sessions & Ranges Indicator helps traders identify key intraday price levels by marking custom session highs/lows and opening ranges.
It helps traders spot potential liquidity grabs, reversals, and breakout zones by tracking price behavior around these key areas
🌟 Session Highs & Lows – Liquidity Zones 🌟
Session highs and lows often attract price due to stop orders resting above or below them. These levels are frequently targeted during high-volatility moves.
🔹 Asia Session
- Usually ranges in low volatility.
- Highs/lows often get swept during early London.
- Price may raid these levels, then reverse.
🔹 London Session
- First major volatility of the day.
- Highs/lows often tested or swept in New York.
- Commonly forms the day’s true high or low.
🌟 Opening Range Concepts 🌟
The Opening Range is the first 15, 30, or 60 minutes of a session (e.g., New York).
The high (ORH) and low (ORL) define the market’s initial balance and key reaction levels.
🔹 Breakout Trade
- Price breaks ORH/ORL with momentum.
- Signals directional intent.
- Traders enter on the breakout, with stops inside the range.
🔹 Liquidity Raid
- Price briefly breaks ORH/ORL to trigger stops.
- Reverses after the sweep.
- Look for structure shift and entry near FVG or OB.
🌟 Customizable Settings 🌟
The indicator includes 3 configurable ranges , each with:
Start & End Time – Set any custom time window.
Display Type – Choose Box (highlight range) or Lines (mark high/low).
Color Settings – Set custom colors for boxes and lines.
🌟 Default Settings 🌟
Range 1 : 19:00–00:00 (Asia Session)
Range 2 : 01:45–05:15 (London Session)
Range 3 : 09:30–10:00 (NY Opening Range – 30m)
SMT SwiftEdge PowerhouseSMT SwiftEdge Powerhouse: Precision Trading with Divergence, Liquidity Grabs, and OTE Zones
The SMT SwiftEdge Powerhouse is a powerful trading tool designed to help traders identify high-probability entry points during the most active market sessions—London and New York. By combining Smart Money Technique (SMT) Divergence, Liquidity Grabs, and Optimal Trade Entry (OTE) Zones, this script provides a unique and cohesive strategy for capturing market reversals with precision. Whether you're a scalper or a swing trader, this indicator offers clear visual signals to enhance your trading decisions on any timeframe.
What Does This Script Do?
This script integrates three key concepts to identify potential trading opportunities:
SMT Divergence:
SMT Divergence compares the price action of two correlated assets (e.g., Nasdaq and S&P 500 futures) to detect hidden market reversals. When one asset makes a higher high while the other makes a lower high (bearish divergence), or one makes a lower low while the other makes a higher low (bullish divergence), it signals a potential reversal. This technique leverages institutional "smart money" behavior to anticipate market shifts.
Liquidity Grabs:
Liquidity Grabs occur when price breaks above recent highs or below recent lows on higher timeframes (5m and 15m), often triggering stop-loss orders from retail traders. These breakouts are identified using pivot points and confirm institutional activity, setting the stage for a reversal. The script focuses on liquidity grabs during the London and New York sessions for maximum market activity.
Optimal Trade Entry (OTE) Zones:
OTE Zones are Fibonacci-based retracement areas (e.g., 61.8%) calculated after a liquidity grab. These zones highlight where price is likely to retrace before continuing in the direction of the reversal, offering a high-probability entry point. The script adjusts the width of these zones using the Average True Range (ATR) to adapt to market volatility.
By combining these components, the script identifies when institutional activity (liquidity grabs) aligns with market reversals (SMT divergence) and pinpoints precise entry points (OTE zones) during high-liquidity sessions.
Why Combine These Components?
The integration of SMT Divergence, Liquidity Grabs, and OTE Zones creates a robust trading system for several reasons:
Synergy of Institutional Signals: SMT Divergence and Liquidity Grabs both reflect "smart money" behavior—divergence shows hidden reversals, while liquidity grabs confirm institutional intent to trap retail traders. Together, they provide a strong foundation for identifying high-probability setups.
Session-Based Precision: Focusing on the London and New York sessions ensures signals occur during periods of high volatility and liquidity, increasing their reliability.
Precision Entries with OTE: After confirming a setup with divergence and liquidity grabs, OTE zones provide a clear entry area, reducing guesswork and improving trade accuracy.
Adaptability: The script works on any timeframe, with adjustable settings for signal sensitivity, session times, and Fibonacci levels, making it versatile for different trading styles.
This combination makes the script unique by aligning institutional insights with actionable entry points, tailored to the most active market hours.
How to Use the Script
Setup:
Add the script to your chart (works on any timeframe, e.g., 1m, 5m, 15m).
Configure the settings in the indicator's inputs:
Session Settings: Adjust the start/end times for London and New York sessions (default: London 8-11 UTC, New York 13-16 UTC). You can disable session restrictions if desired.
Asset Settings: Set the primary and secondary assets for SMT Divergence (default: NQ1! and ES1!). Ensure the assets are correlated.
Signal Settings: Adjust the lookback period, ATR period, and signal sensitivity (Low/Medium/High) to control the frequency of signals.
OTE Settings: Choose the Fibonacci level for OTE zones (default: 61.8%).
Visual Settings: Enable/disable OTE zones, SMT labels, and debug labels for troubleshooting.
Interpreting Signals:
Blue Circles: Indicate a liquidity grab (price breaking a 5m or 15m pivot high/low), marking the start of a potential setup.
Blue OTE Zones: Appear after a liquidity grab, showing the retracement area (e.g., 61.8% Fibonacci level) where price is likely to enter for a reversal trade. The label "OTE Trigger 5m/15m" confirms the direction (Short/Long) and session.
Green/Red Entry Boxes: Mark precise entry points when price enters the OTE zone and confirms the SMT Divergence. Green boxes indicate a long entry, red boxes a short entry.
Trading Example:
On a 1m chart, a blue circle appears when price breaks a 5m pivot high during the London session.
A blue OTE zone forms, showing a retracement area (e.g., 61.8% Fibonacci level) with the label "OTE Trigger 5m/15m (Short, London)".
Price retraces into the OTE zone, and a red "Short Entry" box appears, confirming a bearish SMT Divergence.
Enter a short trade at the red box, with a stop-loss above the OTE zone and a take-profit at the next support level.
Originality and Utility
The SMT SwiftEdge Powerhouse stands out by merging SMT Divergence, Liquidity Grabs, and OTE Zones into a single, session-focused indicator. Unlike traditional indicators that focus on one aspect of price action, this script combines institutional reversal signals with precise entry zones, tailored to the most active market hours. Its adaptability across timeframes, customizable settings, and clear visual cues make it a versatile tool for traders seeking to capitalize on smart money movements with confidence.
Tips for Best Results
Use on correlated assets like NQ1! (Nasdaq futures) and ES1! (S&P 500 futures) for accurate SMT Divergence.
Test on lower timeframes (1m, 5m) for scalping or higher timeframes (15m, 1H) for swing trading.
Adjust the "Signal Sensitivity" to "High" for more signals or "Low" for fewer, high-quality setups.
Enable "Show Debug Labels" if signals are not appearing as expected, to troubleshoot pivot points and liquidity grabs.
