Annualized Futures Spread2つの銘柄間のスプレッドを年率換算してオシレーターの枠に表示するスクリプトです。
（BTCUSD現物とBTC-0625先物契約のような2銘柄間で使用することを想定しています。）
設定で年率換算していない生の乖離率の表示に切り替えることも可能です。
初期設定ではFTXの BTCUSDとBTCUSD-0624、BTCUSDとBTC-1231、ETHUSDとETH-0625 が指定されています。
そのまま使用しても構いませんし、設定やソースコードを編集して活用してくださって構いません。
ーーーーーーーーーーーーー
This custom script can be used to display the annualized spread rate between two specified symbols like BTCUSD and BTC-0625.
It is also possible to display raw spreads that are not annualized. (Just simply clicking the checkbox in setting.)
The default settings are BTC0625 and BTCUSD, BTC1231 and BTCUSD, and ETH0625 and ETHUSD on FTX Exchange.
You may use it as-is, or edit the settings or modify the source code as you like.
(This script was removed due to a violation of the English-Only house rule once, so this is a repost with a revised title and text.)
ابحث في النصوص البرمجية عن "text"
String Manipulation Framework [PineCoders FAQ]█ OVERVIEW
This script provides string manipulation functions to help Pine coders.
█ FUNCTIONS PROVIDED
f_strLeft(_str, _n)
Function returning the leftmost `_n` characters in `_str`.
f_strRight(_str, _n)
Function returning the rightmost `_n` characters in `_str`.
f_strMid(_str, _from, _to)
Function returning the substring of `_str` from character position `_from` to `_to` inclusively.
f_strLeftOf(_str, _of)
Function returning the sub-string of `_str` to the left of the `_of` separating character.
f_strRightOf(_str, _of)
Function returning the sub-string of `_str` to the right of the `_of` separating character.
f_strCharPos(_str, _chr)
Function returning the position of the first occurrence of `_chr` in `_str`, where the first character position is 0. Returns -1 if the character is not found.
f_strReplace(_src, _pos, _str)
Function that replaces a character at position `_pos` in the `_src` string with the `_str` character or string.
f_tickFormat()
Function returning a format string usable with `tostring()` to round a value to the symbol's tick precision.
f_tostringPad(_val, _fmt)
Function returning a string representation of a numeric `_val` using a special `_fmt` string allowing all strings to be of the same width, to help align columns of values.
`f_tostringPad()`
Using the functions should be straightforward, but `f_tostringPad()` requires more explanations. Its purpose is to help coders produce columns of fixed-width string representations of numbers which can be used to produce columns of numbers that vertically align neatly in labels, something that comes in handy when, for example, you need to center columns, yet still produce numbers of various lengths that nonetheless align.
While the formatting string used with this function resembles the one used in tostring() , it has a few additional characteristics:
• The question mark (" ? ") is used to indicate that padding is needed.
• If negative numbers must be handled by the function, the first character of the formatting string must be a minus sign ("-"),
otherwise the unary minus sign of negative numbers will be stripped out.
• You will produce more predictable results by using "0" rather than "#" in the formatting string.
You can experiment with `f_tostringPad()` formatting strings by changing the one used in the script's inputs and see the results on the chart.
These are some valid examples of formatting strings that can be used with `f_tostringPad()`:
"???0": forces strings to be four units wide, in all-positive "int" format.
"-???0": forces strings to be four units wide, plus room for a unary minus sign in the first position, in "int" format.
"???0.0": forces strings to be four units wide to the left of the point, all-positive, with a decimal point and then a mantissa rounded to a single digit.
"-???0.0?": same as above, but adds a unary minus sign for negative values, and adds a space after the single-digit mantissa.
"?????????0.0": forces the left part of the float to occupy the space of 10 digits, with a decimal point and then a mantissa rounded to a single digit.
█ CHART
The information displayed by this indicator uses the values in the script's Inputs, so you can use them to play around.
The chart shows the following information:
• Column 0 : The numeric input values in a centered column, converted to strings using tostring() without a formatting argument.
• Column 1 : Shows the values formatted using `f_tostringPad()` with the formatting string from the inputs.
• Column 2 : Shows the values formatted using `f_tostringPad()` but with only the part of the formatting string left of the decimal point, if it contains one.
• Column 3 : Shows the values formatted using `f_tostringPad()` but with the part of the formatting string left of the decimal point,
to which is added the right part of the `f_tostringPad()` formatting string, to obtain the precision in ticks of the symbol the chart is on.
• Column 4 : Shows the result of using the other string manipulation functions in the script on the source string supplied in the inputs.
It also demonstrates how to split up a label in two distinct parts so that you can vertically align columns when the leftmost part contains strings with varying lengths.
You will see in our code how we construct this column in two steps.
█ LIMITATIONS
The Pine runtime is optimized for number crunching. Too many string manipulations will take a toll on the performance of your scripts, as can readily be seen with the running time of this script. To minimize the impact of using string manipulation functions in your scripts, consider limiting their calculation to the first or last bar of the dataset when possible. This can be achieved by using the var keyword when declaring variables containing the result of your string manipulations, or by enclosing blocks of code in if blocks using barstate.isfirst or barstate.islast .
█ NOTES
To understand the challenges we face when trying to align strings vertically, it is useful to know that:
• As is the case in many other places in the TadingView UI and other docs, the Pine runtime uses the MS Trebuchet font to display label text.
• Trebuchet uses proportionally-spaced letters (a "W" takes more horizontal space than an "I"), but fixed-space digits (a "1" takes the same horizontal space as a "3").
Digits all use a figure space width, and it is this property that allows us to align numbers vertically.
The fact that letters are proportionally spaced is the reason why we can't vertically align columns using a "legend" + ":" `+ value structure when the "legend" part varies in width.
• The unary minus sign is the width of a punctuation space . We use this property to pad the beginning of numbers
when you use a "-" as the first character of the `f_tostringPad()` formatting string.
Our script was written using the PineCoders Coding Conventions for Pine .
The description was formatted using the techniques explained in the How We Write and Format Script Descriptions PineCoders publication.
█ THANKS
Thanks to LonesomeTheBlue for the `f_strReplace()` function.
Look first. Then leap.
Joined and Sliced String ArrayUsing the new Pine Script array built-ins to join string elements together for label text. The array is sliced to remove extraneous elements.
Buy/Sell IndicatorBased on logic from many top contributors here, the script utilizes LazyBear's WaveTrend Oscillator Indicator along with custom code to plot a few key components for daily trading;
Boundaries for entry and exit points which are based on a 6-day trend in OPEN/HIGH and OPEN/LOW prices.
Daily HIGH and LOW points to establish a good view of stock's movements
Entry and exit points with confidence levels. These can be treated as entry points for short to medium term investments
Entry points come in the colours of White and Lime, where white is slightly confident and lime is extremely confident
Exit points come in the colours of Maroon, and Red, where maroon is slightly confident and red is extremely confident
Each Entry and Exit point also comes without text, or with a M or H above it, where M indicates medium confidence on the point and an O indicates overconfidence.
Use Case:
The best possible use case is to enter a trade on a LIME point with O text, this means that is an overconfident entry point.
The trade should be exited on a RED point with O text, this means that is an overconfident exit point.
But you can do with the indicators as you please.
In addition to LazyBear's code, the following existing models and indicators are taken into account:
RSI of closing price over a period of 25
EMA of RSI
Trend Follower - Light Mode | jhFollow up script for my Trend Follower script.
I'm used to dark mode, so I coded a few key plots in white, so those are changed into black on the script.
Notably:
- > 1 ATR in black dots along the baseline
- Current and previous ATR text labels to the right of the price
- A text label spacing input that allows you to adjust the spacing for text label from price.
This is a trend following system that combines 3 indicators which provide different functionalities, also a concept conceived by VP's No Nonsense FX / NNFX method.
1. Baseline
The main baseline filter is an indicator called Modular Filter created by Alex Grover
- www.tradingview.com
- Alex Grover - Modular Filter
-------
That's the moving average like baseline following price, filtering long and short trends and providing entry signals when the price crosses the baseline.
Entry signal indicated with arrows.
2. Volume/Volatility, I will called it Trend Strength
The next indicator is commonly known as ASH, Absolute Strength Histogram.
This indicator was shared by VP as a two line cross trend confirmation indicator, however I discovered an interesting property when I modified the calculation of the histogram.
- Alex Grover Absolute Strength
-------
My modification and other info here
- Absolute Strength Histogram v2
-------
I simplified the display of the trend strength by plotting squares at the bottom of the chart.
- Lighted Squares shows strength
- Dimmed Squares shows weakness
3. Second Confirmation / Exits / Trailing Stop
Finally the last indicator is my usage of QQE (Qualitative Quantitative Estimation), demonstrated in my QQE Trailing Line Indicator
- QQE Trailing Line for Trailing Stop
-------
Three usages of this amazing indicator, serving as :
- Second trend confirmation
- Exit signal when price crosses the trailing line
- Trailing stop when you scaled out the second trade
This indicator is plotted with crosses.
Additional plots and information
Bar Color
- Green for longs, Red for shorts, White when the baseline direction conflicts with the QQE trailing line direction
- When it's white, it's usually ranging and not trending, ASH will also keep you off ranging periods.
-------
ATR Filter
- White circles along the baseline, they will show up if the price has moved more than one ATR from the baseline
- The default allowance is 1 ATR.
-------
The previous and current ATR value
- Label on the right side of the chart showing the previous and current value of ATR
Strategy Death To The Bear Simple strategy for the indicator "Death To The Bear".
Simple rules:
- Entry according to the selected weapons.
- Take profit 1 (TP1) in% of daily ATR (can be set, default 20%)
- Active Stop in Breakeven when I take profit in TP1.
- Take profit 2 (TP1) in% of daily ATR (can be set, default 30%)
* Pyramidization can be changed from the configuration (maximum number of tickets to average your price)
* Many do not like to pyramid, but I can assure you that with good management, and good choice of the instrument and time frame, you will get good money.
Note: at the request of some people who cannot see the EMOJI in the configuration you can choose TEXT.
Thumbs up
ATR EMA Bands (Kerry Lovvorn Style) - Fixed Scale//@version=5
indicator("ATR EMA Bands (Kerry Lovvorn Style) - Fixed Scale",
overlay = true,
scale = scale.right, // ⭐ 强制使用右侧价格刻度
precision = 2)
// ——— 参数 ———
src = input.source(close, "Source")
emaLength = input.int(34, "EMA Length")
atrLength = input.int(13, "ATR Length")
atrMult1 = input.float(1.0, "ATR ×1")
atrMult2 = input.float(2.0, "ATR ×2")
atrMult3 = input.float(3.0, "ATR ×3")
// ——— 计算 ———
ema = ta.ema(src, emaLength)
atr = ta.atr(atrLength)
// 上下轨
upper1 = ema + atr * atrMult1
upper2 = ema + atr * atrMult2
upper3 = ema + atr * atrMult3
lower1 = ema - atr * atrMult1
lower2 = ema - atr * atrMult2
lower3 = ema - atr * atrMult3
// ——— 绘图 ———
plot(ema, "EMA", color = color.white, linewidth = 2)
plot(upper1, "Upper 1×ATR", color = color.new(color.green, 0))
plot(upper2, "Upper 2×ATR", color = color.new(color.green, 30))
plot(upper3, "Upper 3×ATR", color = color.new(color.green, 60))
plot(lower1, "Lower 1×ATR", color = color.new(color.red, 0))
plot(lower2, "Lower 2×ATR", color = color.new(color.red, 30))
plot(lower3, "Lower 3×ATR", color = color.new(color.red, 60))
// ——— 可选：在当前 K 线上标记数值，方便你肉眼对比 ———
showDebug = input.bool(false, "Show Debug Labels (for checking value vs position)")
if showDebug
var label lb = na
if barstate.islast
label.delete(lb)
txt = "EMA: " + str.tostring(ema, format.mintick) + "\n" +
"U1: " + str.tostring(upper1, format.mintick) + "\n" +
"U2: " + str.tostring(upper2, format.mintick) + "\n" +
"U3: " + str.tostring(upper3, format.mintick)
lb := label.new(bar_index, upper1, txt, style = label.style_label_right, textcolor = color.white, color = color.new(color.black, 40))
INFOMATION BOARD5-Line Indicator Description (English)This indicator displays a dynamic information board directly on the chart.It features a bright red background with bold white text for maximum visibility.The message can blink at adjustable speeds to attract user attention.Users may customize text size and vertical screen placement.Designed for alerts, warnings, or educational disclaimers without cluttering the chart
RSI MTF 15m + 1h (Oriol)//@version=5
indicator("RSI MTF 15m + 1h (Oriol)", overlay = false, timeframe = "", timeframe_gaps = true)
// ─── PARÀMETRES ─────────────────────────────────────────────
rsiLength = input.int(14, "Període RSI")
src = input.source(close, "Font de preu")
tfFast = input.timeframe("15", "Timeframe ràpid (RSI 15m)")
tfSlow = input.timeframe("60", "Timeframe lent (RSI 1h)")
showSignals = input.bool(true, "Mostrar senyals LONG/SHORT")
// ─── RSI MULTITIMEFRAME ────────────────────────────────────
// RSI del timeframe ràpid (per defecte 15m)
src_fast = request.security(syminfo.tickerid, tfFast, src)
rsi_fast = ta.rsi(src_fast, rsiLength)
// RSI del timeframe lent (per defecte 1h)
src_slow = request.security(syminfo.tickerid, tfSlow, src)
rsi_slow = ta.rsi(src_slow, rsiLength)
// ─── DIBUIX RSI ─────────────────────────────────────────────
plot(rsi_fast, title = "RSI ràpid (15m)", color = color.new(color.aqua, 0), linewidth = 2)
plot(rsi_slow, title = "RSI lent (1h)", color = color.new(color.orange, 0), linewidth = 2)
hline(70, "Sobrecomprat", color = color.new(color.red, 70), linestyle = hline.style_dashed)
hline(30, "Sobrevenut", color = color.new(color.lime, 70), linestyle = hline.style_dashed)
hline(50, "Mitja", color = color.new(color.gray, 80))
// ─── CONDICIONS D’EXEMPLE ───────────────────────────────────
// LONG: RSI 1h < 40 i RSI 15m creua cap amunt 30
// SHORT: RSI 1h > 60 i RSI 15m creua cap avall 70
longCond = (rsi_slow < 40) and ta.crossover(rsi_fast, 30)
shortCond = (rsi_slow > 60) and ta.crossunder(rsi_fast, 70)
// ─── SENYALS (SENSE SCOPE LOCAL) ────────────────────────────
plotshape(showSignals and longCond,
title = "Possible LONG",
style = shape.triangleup,
location = location.bottom,
color = color.new(color.lime, 0),
size = size.small,
text = "LONG")
plotshape(showSignals and shortCond,
title = "Possible SHORT",
style = shape.triangledown,
location = location.top,
color = color.new(color.red, 0),
size = size.small,
text = "SHORT")
// ─── ALERTES ────────────────────────────────────────────────
alertcondition(longCond, title = "Senyals LONG RSI 15m+1h",
message = "Condició LONG RSI 15m + 1h complerta")
alertcondition(shortCond, title = "Senyals SHORT RSI 15m+1h",
message = "Condició SHORT RSI 15m + 1h complerta")
MTF Candle Countdown — HUD V1 (By Price-Action-Art)
MTF Candle Countdown — HUD V1 (By Price-Action-Art)
A clean, lightweight HUD that shows you exactly how much time is left in multiple higher-timeframe candles — all in one place.
This tool is designed for traders who rely on multi-timeframe precision.
Instead of constantly switching charts or checking timers, the HUD gives you a real-time countdown for up to six timeframes (Daily, 4H, 1H, 30m, 15m, 5m by default).
You can fully customize the timeframes, text size, and HUD position on your chart.
Perfect for:
Intraday and scalping timing
Swing traders waiting for HTF candle closes
ICT / SMC structure-based traders
Anyone who needs exact candle close timing without distractions
Features:
Real-time multi-timeframe candle countdown
Fully adjustable HUD placement (all corners)
Customizable timeframes and text size
Clean, minimal, and non-intrusive design
Updates only on the last bar for performance efficiency
Optional border for a sharper HUD look
Whether you’re waiting for a Daily close to confirm structure or timing your entries around 5m/15m candles, this HUD keeps everything visible and precise at a glance.
If you find this tool helpful, feel free to like, comment, and follow — it motivates me to keep releasing more tools for the community.
5m FVGs Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
[Statistics] killzone SFPSFP Statistics (ICT Sessions)
This indicator automatically finds and draws the high and low of the Asia, London, and New York trading sessions. It then hunts for Swing Failure Patterns (SFPs) that sweep these key session levels.
The main purpose of this script is to gather statistics on when these high-probability SFPs occur, allowing you to map out and identify the times of day when they are most frequent.
How to Use This Indicator
Set Your SFP Timeframe: In the settings, choose the timeframe you want to hunt for SFPs on (e.g., 1H, 15m). Important: You must also set your main chart to this exact same timeframe for the statistics to be collected correctly.
Define Your Sessions: Go to the "Session Definitions" tab.
Set the Global Timezone to your preferred trading timezone (e.g., "America/New_York"). This controls all session times and table times.
Adjust the start and end times for Asia, London, and NY AM sessions.
You can turn off sessions you don't want to track (like NY Lunch or NY PM).
You can also change the colors and text style for the session boxes here.
Set Confirmation Bars: In "SFP Engine Settings," the "Confirmation Bars" (default is 2) defines how many bars must close after the SFP bar without invalidating the level. An SFP is only "confirmed" and drawn after this period.
0 = Confirms immediately on the SFP candle's close.
2 = Confirms 2 bars after the SFP candle's close.
Read the Statistics: The "Custom SFP Statistics" table will appear on your chart. This table logs every confirmed SFP and tells you:
Which time of day they happen most.
How many were Bearish (swept a high) vs. Bullish (swept a low).
It's set by default to show the "Top 20" most frequent times, sorted chronologically.
Filter Your Chart (Optional): If your chart feels cluttered, go to "Visual Time Filter" and turn it ON.
Set a time window (e.g., "09:30-11:00").
The indicator will now only draw SFP signals that occurred within that specific time window. This is perfect for focusing on a single killzone.
How to Set Up Alerts
You can set up server-side alerts to be notified every time a new SFP is confirmed.
Check the "Enable SFP Alerts" box at the top of the indicator's settings.
Click the "Alert" button (alarm clock icon) on the TradingView toolbar.
In the "Condition" dropdown, select "SFP Statistics (ICT Sessions)".
In the second dropdown, choose "Any alert() function call".
Most Important Step: In the "Message" box, delete any default text and type in this exact placeholder:
{{alert_message}}
Set the trigger to "Once Per Bar Close".
Click "Create".
How Alerts Work (Triggers & Filtering)
Trigger: Alerts are tied to the confirmed signal. An alert will only fire after your "Confirmation Bars" have passed and the SFP is locked in. This prevents you from getting alerts on fake-outs.
Alert Filtering: The alerts are linked to the "Visual Time Filter". If you turn on the Visual Time Filter (e.g., to 09:30-11:00), you will only receive alerts for SFPs that are confirmed within that time window. If an SFP happens at 14:00, the script will ignore it, it will not be drawn, and it will not send you an alert. This allows you to get alerts only for the session you are actively trading.
Note: This is a first draft of this indicator. I will continue to work on it and improve it over time, as it may still contain small bugs.
Acknowledgements:
A big thank you to TFO (tradeforopp). The session detection logic and the visual style for the session boxes were adapted from his excellent "ICT Killzones & Pivots " indicator.
Current State: Overbought/Oversold + Trend KAPIL GOYALThis Pine Script calculates the RSI (Relative Strength Index) and compares it against preset thresholds to classify the market as Deep/Moderate/Mild Oversold or Deep/Moderate/Mild Overbought. It also checks whether the current price is above or below the 50-day moving average to define the trend as Uptrend or Downtrend. The script then combines both signals into one clean, real-time text output—like “Moderate Oversold + Uptrend”—displayed in a small table at the chart corner. It’s designed to give a quick, clutter-free snapshot of the current market state without plotting multiple indicators.
How to use:
Apply this indicator to any chart (e.g., Tesla on TradingView). It will show one line of text describing the current condition based on RSI and trend. Use it for quick decision cues:
“Oversold + Uptrend” suggests potential accumulation or rebound zones.
“Overbought + Downtrend” warns of exhaustion or profit-taking zones.
Combine it with your entry/exit strategy—like your 30DMA/50DMA rule or momentum filters—to confirm timing rather than act alone.
Anchored ATH Drawdown LevelsThe Anchored ATH Drawdown Levels plots horizontal lines from a chosen anchor price (ATH), showing potential pullback zones at set percentage drops below it.
This indicator's use lies in its anchored ATH framework, which rapidly visualizes precise drawdown levels as dynamic levels of interest or price targets enabling traders to anticipate pullback depths and potential reversal levels without manual calculations.
Pick "True ATH" for the all-time high or "Period ATH" for anchored highs reset weekly, monthly, or quarterly. Lines stretch right for a cleaner visual.
Key Features
Anchoring: True ATH (lifetime max) or Period ATH (resets on 1W/1M/3M intervals).
Drawdown Levels: 8 adjustable levels (defaults: -5%, -10%, -15%, -20% on; -25% to -50% off). Toggle each, set drop % (0.1-99.9), pick color, style (solid/dashed/dotted), width (1-3).
ATH Line: Optional ATH line with custom color, style, width.
Unified Look: Global overrides for all levels' color, style, width.
Labels: Show % drops (with/without prices) via text boxes or full tags; sizes from tiny to large.
Projection: Lines extend 5-100 bars right (default 20).
Settings
Anchor: Mode and timeframe.
Display: Toggle levels/ATH, set extension.
Labels: Style (text/full/none), size, price display.
Global/ATH/Levels: Colors, styles, widths (per-level or shared).
How to Use
Load on chart (overlays prices; handles up to 500 lines).
Choose anchor for your high.
Tune levels for key pullbacks (e.g., -5% minor, -20% major).
Customize visuals where the lines update on new peaks.
SevenDayHighLowTableWithBoxes [CHE]SevenDayHighLowTableWithBoxes — Seven-day day-range boxes with a weekday-aware “ghost” projection and a compact table that tracks recent extremes and per-weekday hit rates.
Summary
This indicator visualizes each trading day as a colored box and annotates the final high and low with compact markers. It maintains a rolling seven-day view and a five-column table showing day name, high, low, range, and a per-weekday projection hit statistic. A dashed “ghost” box projects a typical range for the current weekday using a running average and an adjustable scaling factor. The script is written in Pine v6, runs on the main chart (overlay true), and emphasizes stable object handling and closed-bar finalization at day boundaries.
Motivation: Why this design?
Intraday traders often need fast context for where today’s price sits relative to recent daily extremes, without switching timeframes. A simple daily high/low overlay is informative but lacks structure, sizing context, and continuity. By grouping bars into local days (configurable UTC offset), drawing explicit boxes, and projecting a weekday-typical range, the chart becomes easier to scan. The compact table gives a quick audit trail of the latest seven days while tracking how often the weekday projection would have covered the realized range.
What’s different vs. standard approaches?
Reference baseline: Plain daily high/low lines or session boxes without context.
Architecture differences:
Weekday-tinted boxes and labels for today plus up to six prior days.
Weekday average range drives a dashed projection (“ghost”) sized by a user-defined percentage.
Per-weekday hit statistics recorded as hits over totals and displayed in the table.
ATR-based vertical offsets keep labels readable.
Live updates intraday; state is finalized at the local day switch.
Practical effect: The chart shows where current price sits inside a known daily envelope, plus how “typical” the day’s movement is for this weekday, aiding expectations and planning.
How it works (technical)
The script computes a local daily timestamp using the user’s UTC offset. A day change finalizes the prior day, writes its high, low, start and end indices, and records the bar indices of the terminal high and low.
For each weekday, it maintains a running average of realized ranges with a cap on the lookback count. The ghost projection length is the weekday average scaled by the user’s percentage setting.
Anchor selection for the ghost uses the most recent extreme and the close relative to the intraday midpoint to choose a low-anchored or high-anchored box.
A five-column table (Day, High, Low, Range, Ghost OK) is refreshed on the last bar. The “Ghost OK” column shows per-weekday cumulative hits over totals with a percentage, calculated before including the just-finished day.
Object counts are bounded to seven days by pruning arrays and deleting old boxes and labels. Visual updates for historical objects occur on the last bar to minimize overhead. No `security()` calls are used.
Parameter Guide
UTC (+/−) — Controls local day boundaries — Default: minus five hours — Set to your venue’s local time.
Session (for Time gate) — Session string — Default: full week — (Optional) computed internally; not applied to gating.
Show 7-Day High/Low Table — Toggles the table — Default: true — Disable to reduce UI load.
Show Day Boxes in Chart — Toggles day boxes — Default: true — Disable for a cleaner chart.
Table Position — Nine-point anchor — Default: Middle Right — Move to avoid overlap.
Table Background / Text Color / Min Cell Width — Styling controls — Defaults: gray background, white text, width twelve characters.
Weekday Colors (Sun…Sat) — Row and box tints — Defaults: semi-transparent hues — Adjust for your theme.
Triangle Transparency — Marker opacity — Default: zero — Increase to fade high/low dots.
Day Label Transparency — Day name opacity — Default: zero — Increase to reduce emphasis.
Box Border Width — Box stroke width — Default: one — Increase for stronger edges.
Extend Boxes Right — Extend current box — Default: false — Useful for forward planning.
Show Average Range Ghost Box — Dashed projection — Default: true — Disable if distracting.
Ghost Border Color / Width — Ghost styling — Defaults: gray, width one.
Ghost Length percent of AvgRange — Projection scale — Default: one hundred; bounds zero to five hundred — Lower to be conservative.
Max History Days for Average — Cap per-weekday averaging — Default: two hundred fifty-two; bounds thirty to five hundred.
ATR Length / Day Label ATR Multiplier / Triangle Up ATR Multiplier / Triangle Down ATR Multiplier — Offsets for label placement — Defaults: length one hundred; multipliers zero — Increase on dense instruments to prevent overlap.
Reading & Interpretation
Day boxes: The filled rectangle marks each day’s full high-low span; color encodes the weekday.
Markers: Small dots near the terminal high and low highlight where the final extremes occurred.
Ghost box: A dashed box sized by the weekday average range, anchored based on recent behavior. It is a typical span, not a target.
Table: Row one shows “Today”. Rows below list up to six prior days. “Ghost OK” shows per-weekday cumulative hits over totals with a percentage, which reflects historical coverage quality for that weekday.
Practical Workflows & Combinations
Trend following: Use the current box plus recent boxes to read expansion or compression days; combine with basic structure such as higher-highs and higher-lows or lower-lows and lower-highs for confirmation.
Exits and risk: When price nears the ghost boundary late in the session, consider managing exposure more conservatively.
Multi-asset and multi-timeframe: Works on minute charts. As a starting point, use five to less than sixty minutes. For cross-checks, pair with a higher timeframe bias filter.
Behavior, Constraints & Performance
Repaint/confirmation: The indicator updates intraday; extremes and ghost position can move while the day is open. Values are finalized on the next local day start.
HTF/security: None used; repaint risk is limited to live-bar movement.
Resources: `max_bars_back` five thousand; arrays are pruned to seven days; the table and color sync run on the last bar; the live ghost updates only in real time.
Known limits: Weekday averages can be unrepresentative during regime shifts, events, or gaps. Day boundaries depend on the UTC offset being set correctly. No alerts are included. The script displays warning labels when the timeframe is below five minutes or at sixty minutes and above.
Sensible Defaults & Quick Tuning
Start with the defaults.
Ghost too aggressive: Lower the percent scale.
Labels overlap: Increase ATR multipliers.
Clutter or performance issues: Hide the table or boxes, or disable the ghost.
Day boundary misaligned: Adjust the UTC offset to your market.
What this indicator is—and isn’t
This is a visualization and context layer for daily extremes and a weekday-based typical span. It does not predict direction, does not manage orders, and is not a complete trading system. Use it alongside market structure, risk controls, and position management.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Smart Money Flow Index (SMFI) - Advanced SMC [PhenLabs]📊Smart Money Flow Index (SMFI)
Version: PineScript™v6
📌Description
The Smart Money Flow Index (SMFI) is an advanced Smart Money Concepts implementation that tracks institutional trading behavior through multi-dimensional analysis. This comprehensive indicator combines volume-validated Order Block detection, Fair Value Gap identification with auto-mitigation tracking, dynamic Liquidity Zone mapping, and Break of Structure/Change of Character detection into a unified system.
Unlike basic SMC indicators, SMFI employs a proprietary scoring algorithm that weighs five critical factors: Order Block strength (validated by volume), Fair Value Gap size and recency, proximity to Liquidity Zones, market structure alignment (BOS/CHoCH), and multi-timeframe confluence. This produces a Smart Money Score (0-100) where readings above 70 represent optimal institutional setup conditions.
🚀Points of Innovation
Volume-Validated Order Block Detection – Only displays Order Blocks when formation candle exceeds customizable volume multiplier (default 1.5x average), filtering weak zones and highlighting true institutional accumulation/distribution
Auto-Mitigation Tracking System – Fair Value Gaps and Order Blocks automatically update status when price mitigates them, with visual distinction between active and filled zones preventing trades on dead levels
Proprietary Smart Money Score Algorithm – Combines weighted factors (OB strength 25%, FVG proximity 20%, Liquidity 20%, Structure 20%, MTF 15%) into single 0-100 confidence rating updating in real-time
ATR-Based Adaptive Calculations – All distance measurements use 14-period Average True Range ensuring consistent function across any instrument, timeframe, or volatility regime without manual recalibration
Dynamic Age Filtering – Automatically removes liquidity levels and FVGs older than configurable thresholds preventing chart clutter while maintaining relevant levels
Multi-Timeframe Confluence Integration – Analyzes higher timeframe bias with customizable multipliers (2-10x) and incorporates HTF trend direction into Smart Money Score for institutional alignment
🔧Core Components
Order Block Engine – Detects institutional supply/demand zones using characteristic patterns (down-move-then-strong-up for bullish, up-move-then-strong-down for bearish) with minimum volume threshold validation, tracks mitigation when price closes through zones
Fair Value Gap Scanner – Identifies price imbalances where current candle's low/high leaves gap with two-candle-prior high/low, filters by minimum size percentage, monitors 50% fill for mitigation status
Liquidity Zone Mapper – Uses pivot high/low detection with configurable lookback to mark swing points where stop losses cluster, extends horizontal lines to visualize sweep targets, manages lifecycle through age-based removal
Market Structure Analyzer – Tracks pivot progression to identify trend through higher-highs/higher-lows (bullish) or lower-highs/lower-lows (bearish), detects Break of Structure and Change of Character for trend/reversal confirmation
Scoring Calculation Engine – Evaluates proximity to nearest Order Blocks using ATR-normalized distance, assesses FVG recency and distance, calculates liquidity proximity with age weighting, combines structure bias and MTF trend into smoothed final score
🔥Key Features
Customizable Display Limits – Control maximum Order Blocks (1-10), Liquidity Zones (1-10), and FVG age (10-200 bars) to maintain clean charts focused on most relevant institutional levels
Gradient Strength Visualization – All zones render with transparency-adjustable coloring where stronger/newer zones appear more solid and weaker/older zones fade progressively providing instant visual hierarchy
Educational Label System – Optional labels identify each zone type (Bullish OB, Bearish OB, Bullish FVG, Bearish FVG, BOS) with color-coded text helping traders learn SMC concepts through practical application
Real-Time Smart Money Score Dashboard – Top-right table displays current score (0-100) with color coding (green >70, yellow 30-70, red <30) plus trend arrow for at-a-glance confidence assessment
Comprehensive Alert Suite – Configurable notifications for Order Block formation, Fair Value Gap detection, Break of Structure events, Change of Character signals, and high Smart Money Score readings (>70)
Buy/Sell Signal Integration – Automatically plots triangle markers when Smart Money Score exceeds 70 with aligned market structure and fresh Order Block detection providing clear entry signals
🎨Visualization
Order Block Boxes – Shaded rectangles extend from formation bar spanning high-to-low of institutional candle, bullish zones in green, bearish in red, with customizable transparency (80-98%)
Fair Value Gap Zones – Rectangular areas marking imbalances, active FVGs display in bright colors with adjustable transparency, mitigated FVGs switch to gray preventing trades on filled zones
Liquidity Level Lines – Dashed horizontal lines extend from pivot creation points, swing highs in bearish color (short targets above), swing lows in bullish color (long targets below), opacity decreases with age
Structure Labels – "BOS" labels appear above/below price when Break of Structure confirmed, colored by direction (green bullish, red bearish), positioned at 1% beyond highs/lows for visibility
Educational Info Panel – Bottom-right table explains key terminology (OB, FVG, BOS, CHoCH) and score interpretation (>70 high probability) with semi-transparent background for readability
📖Usage Guidelines
General Settings
Show Order Blocks – Default: On, toggles visibility of institutional supply/demand zones, disable when focusing solely on FVGs or Liquidity
Show Fair Value Gaps – Default: On, controls FVG zone display including active and mitigated imbalances
Show Liquidity Zones – Default: On, manages liquidity line visibility, disable on lower timeframes to reduce clutter
Show Market Structure – Default: On, toggles BOS/CHoCH label display
Show Smart Money Score – Default: On, controls score dashboard visibility
Order Block Settings
OB Lookback Period – Default: 20, Range: 5-100, controls bars scanned for Order Block patterns, lower values detect recent activity, higher values find older blocks
Min Volume Multiplier – Default: 1.5, Range: 1.0-5.0, sets minimum volume threshold as multiple of 20-period average, higher values (2.0+) filter for strongest institutional candles
Max Order Blocks to Display – Default: 3, Range: 1-10, limits simultaneous Order Blocks shown, lower settings (1-3) maintain focus on most recent zones
Fair Value Gap Settings
Min FVG Size (%) – Default: 0.3, Range: 0.1-2.0, defines minimum gap size as percentage of close price, lower values detect micro-imbalances, higher values focus on significant gaps
Max FVG Age (bars) – Default: 50, Range: 10-200, removes FVGs older than specified bars, lower settings (10-30) for scalping, higher (100-200) for swing trading
Show FVG Mitigation – Default: On, displays filled FVGs in gray providing visual history, disable to show only active untouched imbalances
Liquidity Zone Settings
Liquidity Lookback – Default: 50, Range: 20-200, sets pivot detection period for swing highs/lows, lower values (20-50) mark shorter-term liquidity, higher (100-200) identify major swings
Max Liquidity Age (bars) – Default: 100, Range: 20-500, removes liquidity lines older than specified bars, adjust based on timeframe
Liquidity Sensitivity – Default: 0.5, Range: 0.1-1.0, controls pivot detection sensitivity, lower values mark only major swings, higher values identify minor swings
Max Liquidity Zones to Display – Default: 3, Range: 1-10, limits total liquidity levels shown maintaining chart clarity
Market Structure Settings
Pivot Length – Default: 5, Range: 3-15, defines bars to left/right for pivot validation, lower values (3-5) create sensitive structure breaks, higher (10-15) filter for major shifts
Min Structure Move (%) – Default: 1.0, Range: 0.1-5.0, sets minimum percentage move required between pivots to confirm structure change
Multi-Timeframe Settings
Enable MTF Analysis – Default: On, activates higher timeframe trend analysis incorporation into Smart Money Score
Higher Timeframe Multiplier – Default: 4, Range: 2-10, multiplies current timeframe to determine analysis timeframe (4x on 15min = 1hour)
Visual Settings
Bullish Color – Default: Green (#089981), sets color for bullish Order Blocks, FVGs, and structure elements
Bearish Color – Default: Red (#f23645), defines color for bearish elements
Neutral Color – Default: Gray (#787b86), controls color of mitigated zones and neutral elements
Show Educational Labels – Default: On, displays text labels on zones identifying type (OB, FVG, BOS), disable once familiar with patterns
Order Block Transparency – Default: 92, Range: 80-98, controls Order Block box transparency
FVG Transparency – Default: 92, Range: 80-98, sets Fair Value Gap zone transparency independently from Order Blocks
Alert Settings
Alert on Order Block Formation – Default: On, triggers notification when new volume-validated Order Block detected
Alert on FVG Formation – Default: On, sends alert when Fair Value Gap appears enabling quick response to imbalances
Alert on Break of Structure – Default: On, notifies when BOS or CHoCH confirmed
Alert on High Smart Money Score – Default: On, alerts when Smart Money Score crosses above 70 threshold indicating high-probability setup
✅Best Use Cases
Order Block Retest Entries – After Break of Structure, wait for price retrace into fresh bullish Order Block with Smart Money Score >70, enter long on zone reaction targeting next liquidity level
Fair Value Gap Retracement Trading – When price creates FVG during strong move then retraces, enter as price approaches unfilled gap expecting institutional orders to continue trend
Liquidity Sweep Reversals – Monitor price approaching swing high/low liquidity zones against prevailing Smart Money Score trend, after stop hunt sweep watch for rejection into premium Order Block/FVG
Multi-Timeframe Confluence Setups – Identify alignment when current timeframe Order Block coincides with higher timeframe FVG plus MTF analysis showing matching trend bias
Break of Structure Continuations – After BOS confirms trend direction, trade pullbacks to nearest Order Block or FVG in direction of structure break using Smart Money Score >70 as entry filter
Change of Character Reversal Plays – When CHoCH detected indicating potential reversal, look for Smart Money Score pivot with opposing Order Block formation then enter on structure confirmation
⚠️Limitations
Lagging Pivot Calculations – Pivot-based features (Liquidity Zones, Market Structure) require bars to right of pivot for confirmation, meaning these elements identify levels retrospectively with delay equal to lookback period
Whipsaw in Ranging Markets – During choppy conditions, Order Blocks fail frequently and structure breaks produce false signals as Smart Money Score fluctuates without clear institutional bias, best used in trending markets
Volume Data Dependency – Order Block volume validation requires accurate volume data which may be incomplete on Forex pairs or limited in crypto exchange feeds
Subjectivity in Scoring Weights – Proprietary 25-20-20-20-15 weighting reflects general institutional behavior but may not optimize for specific instruments or market regimes, user cannot adjust factor weights
Visual Complexity on Lower Timeframes – Sub-hour timeframes generate excessive zones creating cluttered charts, requires aggressive display limit reduction and higher minimum thresholds
No Fundamental Integration – Indicator analyzes purely technical price action and volume without incorporating economic events, news catalysts, or fundamental shifts that override technical levels
💡What Makes This Unique
Unified SMC Ecosystem – Unlike indicators displaying Order Blocks OR FVGs OR Liquidity separately, SMFI combines all three institutional concepts plus market structure into single cohesive system
Proprietary Confidence Scoring – Rather than manual setup assessment, automated Smart Money Score quantifies probability by weighting five institutional dimensions into actionable 0-100 rating
Volume-Filtered Quality – Eliminates weak Order Blocks forming without institutional volume confirmation, ensuring displayed zones represent genuine accumulation/distribution
Adaptive Lifecycle Management – Automatically updates mitigation status and removes aged zones preventing trades on dead levels through continuous validity and age monitoring
Educational Integration – Built-in tooltips, labeled zones, and reference panel make indicator functional for both learning Smart Money Concepts and executing strategies
🔬How It Works
Order Block Detection – Scans for patterns where strong directional move follows counter-move creating last down-candle before rally (bullish OB) or last up-candle before sell-off (bearish OB), validates formations only when candle exhibits volume exceeding configurable multiple (default 1.5x) of 20-bar average volume
Fair Value Gap Identification – Compares current candle’s high/low against two-candles-prior low/high to detect price imbalances, calculates gap size as percentage of close and filters micro-gaps below minimum threshold (default 0.3%), monitors whether subsequent price fills 50% triggering mitigation status
Liquidity Zone Mapping – Employs pivot detection using configurable lookback (default 50 bars) to identify swing highs/lows where retail stops cluster, extends horizontal reference lines from pivot creation and applies age-based filtering to remove stale zones
Market Structure Analysis – Tracks pivot progression using structure-specific lookback (default 5 bars) to determine trend, confirms uptrend when new pivot high exceeds previous by minimum move percentage, detects Break of Structure when price breaks recent pivot level, flags Change of Character for potential reversals
Multi-Timeframe Confluence – When enabled, requests security data from higher timeframe (current TF × HTF multiplier, default 4x), compares HTF close against HTF 20-period MA to determine bias, contributes ±50 points to score ensuring alignment with institutional positioning on superior timeframe
Smart Money Score Calculation – Evaluates Order Block component via ATR-normalized distance producing max 100-point contribution weighted at 25%, assesses FVG factor through age penalty and distance at 20% weight, calculates Liquidity proximity at 20%, incorporates structure bias (±50-100 points) at 20%, adds MTF component at 15%, applies 3-period smoothing to reduce volatility
Visual Rendering and Lifecycle – Draws Order Block boxes, Fair Value Gap rectangles with color coding (green/red active, gray mitigated), extends liquidity dashed lines with fade-by-age opacity, plots BOS labels, displays Smart Money Score dashboard, continuously updates checking mitigation conditions and removing elements exceeding age/display limits
💡Note:
The Smart Money Flow Index combines multiple Smart Money Concepts into unified institutional order flow analysis. For optimal results, use the Smart Money Score as confluence filter rather than standalone entry signal – scores above 70 indicate high-probability setups but should be combined with risk management, higher timeframe bias, and market regime understanding.
NQ YM Correlogram Meter TypeOverview
This indicator provides a real-time, visual "meter" of the correlation between the Nasdaq 100 (NQ) and the Dow Jones (YM) futures. It is designed as a clean, non-intrusive dashboard panel that displays only the current correlation value, making it an ideal companion for pairs traders who need to see the live relationship at a glance.
Unlike a traditional oscillator that plots historical data, this tool focuses exclusively on the "right now" to aid in immediate trade decisions.
Key Features
Real-Time Correlation Meter: A single vertical bar displays the current correlation, visually mapping the -1.0 to +1.0 range.
Clear Visual Cues: The bar's color gradient (from red for negative correlation to green for positive correlation) and fill level provide an instant understanding of the market relationship.
Precise Value Display: The exact numerical correlation (e.g., 0.85 or -0.50) is shown clearly at the bottom of the meter.
Contextual Y-Axis: Static labels (+1.0, +0.5, 0.0, -0.5) provide quick reference points for the meter's reading.
Dashboard Panel: Renders cleanly as an overlay table on the right side of your chart, saving screen real estate.
How to Use
This indicator is best used as a confirmation tool alongside a primary pairs trading strategy or a historical correlation oscillator.
High Green Bar (near +1.0): Indicates a strong positive correlation. NQ and YM are moving in sync.
Bar near 0.0: Indicates little to no linear relationship.
Low Red Bar (near -1.0): Indicates a strong negative (inverse) correlation. NQ and YM are moving in opposite directions.
For a pairs trader, this meter provides an instant check to confirm if the two assets are in their expected state of correlation at the moment of execution.
Settings & Customization
Correlation Period: Set the lookback length for the correlation calculation.
Symbols: Fully customizable, though it defaults to YM1! and NQ1!.
Panel Appearance: Adjust the Table Size (Small/Large) and Chart Theme (Light/Dark).
Text Size: Independently control the font size for the numerical Value Text and the Y-Axis Labels to perfectly fit your display.
Structure Pro by MurshidfxInspired by the 'mentfx Structure' indicator created by Anton (mentfx) on TradingView,
## Overview
Structure Pro tracks market structure by maintaining an adaptive dealing range and its midpoint. Swing highs and lows become structural boundaries, and the script responds to confirmed breakouts by recalculating the active range. Labels highlight the latest trend flip so the chart stays readable while the range evolves.
## Core Logic
- Detects swing highs/lows using a configurable pivot strength and promotes confirmed pivots to structural levels.
- Applies a percentage buffer to decide when price truly breaks structure; once triggered, the opposite boundary is recalculated with an anchor search that looks back through historical bars.
- Computes equilibrium as the midpoint between the current structural high and low so you can gauge premium versus discount zones.
- Emits a single BULL or BEAR label when the trend state changes, keeping only the most recent signal on the chart.
## How to Use
1. Open a clean chart and apply only this script.
2. Select a swing strength that matches the scale you want to monitor (lower values for responsive intraday swings, higher values for broader moves).
3. Tune the structure sensitivity percentage if you prefer tighter or looser confirmation before declaring a breakout.
4. Track DRH/DRL for the current dealing range, use the equilibrium line as a mean-reversion guide, and look to the BULL/BEAR label for structure confirmation.
5. Combine the levels with your own execution, risk, and position rules—this script does not manage orders.
## Inputs
- Swing Point Strength: bars required on both sides to confirm a pivot.
- Structure Break Sensitivity: percentage buffer applied to the range before calling a breakout.
- Dealing Range display: toggles for visibility, line width/color, label text, and label size.
- Equilibrium display: line style, width, and color controls.
- Trend Signals: enable/disable labels, adjust text size, and pick label colors.
## Notes
- Designed for live structure tracking; the script relies on confirmed pivots and does not peek into future data.
- Built to be chart-agnostic for standard candles; non-standard chart types can distort the measurements.
- Published open-source so traders can review and verify the implementation details.
Time & Session Dividers### indicator Summary
This indicator is a powerful utility designed to help you visualize time-based market structure by drawing customizable vertical lines on your chart. It allows you to clearly mark the beginning of new timeframes (like hours, days, or weeks) and highlight specific trading sessions or time slots (like the London open or a news event).
It comes with **6 independent dividers** that you can configure to your exact needs:
* **3 Timeframe Dividers**
* **3 Custom Time Slot Dividers**
### Key Features
* **Timeframe Separators:** Set up to 3 different higher timeframes (e.g., 1H, 4H, 1D). The indicator will automatically draw a vertical line at the start of each new bar for that timeframe, helping you easily see hourly, daily, or weekly boundaries.
* **Custom Time Slots (Sessions):** Define up to 3 specific time windows (e.g., "09:30-16:00" for the New York session). The indicator will draw a line at the **start** of this session and another line at the **end**, allowing you to isolate specific periods of market activity.
* **Full Customization:** Each of the 6 dividers is fully independent and can be customized with:
* A simple toggle to turn it on or off.
* A unique color.
* A line style (Solid, Dotted, or Dashed).
* A toggle to show or hide its text label.
* **Smart Labels:** Labels for timeframe dividers display the timeframe (e.g., "4H"), while labels for time slots automatically format to show the precise start or end time (e.g., "09:30" and "16:00").
### How to Use
1. Add the "Timeframe Vertical Lines" indicator to your chart.
2. Open the indicator's **Settings** panel.
3. **To add a timeframe line (e.g., Daily):**
* Go to the "Timeframe Divider 1" group.
* Check the "Show Divider 1" box.
* Set the "Timeframe 1" to "1D".
* Adjust the color, style, and text visibility to your liking.
4. **To add a session line (e.g., London Session):**
* Go to the "Time Slot Divider 1" group.
* Check the "Show Time Slot Divider 1" box.
* Set the "Time Slot 1" to your desired session, e.g., "0800-1700".
* Adjust the color and style. The script will now draw lines at 08:00 and 17:00 (based on the chart's timezone).
5. Repeat the process using the other available divider slots to build a complete temporal map of your chart.
Sunmool's NY Lunch Model BacktestingICT NY Lunch Model Backtesting (12:00–13:00 NY) 🗽🍔
This research indicator tests an ICT narrative using the New York lunch window (12:00–13:00 America/New_York). It records that hour’s high/low and measures, during the post-lunch session (default 13:00–16:00), how often:
⬆️ If the afternoon trends up, the Lunch Low gets swept first.
⬇️ If the afternoon trends down, the Lunch High gets swept first.
It reports these as conditional probabilities, not trade signals. 📈
👀 What it shows
🟦 Lunch Range box (toggle): high/low from 12:00–13:00 NY
🔻🔺 Sweep signals (bar-anchored)
Low sweep: triangle below bar + optional “L”
High sweep: triangle above bar + optional “H”
🧱 Optional small box wrapping the swept candle
📊 Stats table (top-right)
P(L-swept | Up) — % of Up-days where Lunch Low was swept
P(H-swept | Down) — % of Down-days where Lunch High was swept
🔁 Contradictions + sample sizes (Up-days / Down-days)
🎯 Direction logic (Up/Down)
Anchor: 13:00 open (pmOpen) ⏰
Threshold: ATR × multiple or % from 13:00
Close ≥ pmOpen + threshold → Up-day
Close ≤ pmOpen − threshold → Down-day
Tiny moves under the threshold are ignored to reduce noise 🧹
⚙️ Inputs
🌐 Timezone: America/New_York (DST handled)
🍽️ Lunch window: 1200–1300
🕓 Post-lunch window: default 1300–1600 (try 17:00/20:00 for sensitivity)
📐 Trend threshold: ATR / Percent (with length/multiple or % level)
📅 Weekdays-only toggle (FX/Equities style)
👁️ Display toggles: Lunch box / sweep arrows / sweep text / sweep candle box / stats table
🔔 TF hint when chart TF > 15m
🧭 How to use
Use 5–15m charts for accurate lunch range capture.
Scroll ~1 year for meaningful samples.
Run sensitivity checks: vary ATR/% thresholds and the post-lunch end time.
For crypto, compare with vs without weekends. 🚀
🧠 Reading the results
High P(L-swept | Up) with a solid Up-day count ⇒ on up afternoons, lunch low is often swept.
High P(H-swept | Down) ⇒ on down afternoons, lunch high is often swept.
Lower Contradictions = cleaner tendency.
Remember: this is a probabilistic tendency, not a rule. 🎲
📝 Notes & limits
All markers (arrows, text, sweep boxes) are bar-anchored; the lunch range box is a research overlay you can toggle.
Real-time vs historical bar building can differ—interpret on bar close. 🔒
チャットGPTimport yfinance as yf
import pandas as pd
import requests
from bs4 import BeautifulSoup
# 株たんのスクリーニング結果URL（例：200日線以下）
url = "https://kabutan.jp/warning/?mode=3_1"
r = requests.get(url)
soup = BeautifulSoup(r.text, "html.parser")
# 銘柄コードと企業名を抽出
stocks =
for link in soup.select("td a "):
code = link .split('=')
name = link.text.strip()
if code.isdigit():
stocks.append({"code": code, "name": name})
results =
for stock in stocks : # ←テスト用に10銘柄まで
ticker = f"{stock }.T"
df = yf.download(ticker, period="1y", interval="1d")
# EMA200
df = df .ewm(span=200, adjust=False).mean()
below_ema200 = df .iloc < df .iloc
# 株たんの個別ページからPER・成長率を取得
stock_url = f"https://kabutan.jp/stock/?code={stock }"
res = requests.get(stock_url)
s = BeautifulSoup(res.text, "html.parser")
try:
per = s.find(text="PER").find_next("td").text
growth = s.find(text="売上高増減率").find_next("td").text
except:
per, growth = "N/A", "N/A"
results.append({
"銘柄コード": stock ,
"企業名": stock ,
"200EMA以下": below_ema200,
"PER": per,
"売上成長率": growth
})
# 結果をCSV出力
df_result = pd.DataFrame(results)
df_result.to_csv("割安EMA200以下銘柄.csv", index=False, encoding="utf-8-sig")
print(df_result)
Advanced Psychological Levels with Dynamic Spacing═══════════════════════════════════════
ADVANCED PSYCHOLOGICAL LEVELS WITH DYNAMIC SPACING
═══════════════════════════════════════
A comprehensive psychological price level indicator that automatically identifies and displays round number levels across multiple timeframes. Features dynamic ATR-based spacing, smart crypto detection, distance tracking, and customizable alert system.
───────────────────────────────────────
WHAT THIS INDICATOR DOES
───────────────────────────────────────
This indicator automatically draws psychological price levels (round numbers) that often act as support and resistance:
- Dynamic ATR-Based Spacing - Adapts level spacing to market volatility
- Multiple Level Types - Major (250 pip), Standard (100 pip), Mid, and Intraday levels
- Smart Asset Detection - Automatically adjusts for Forex, Crypto, Indices, and CFDs
- Crypto Price Adaptation - Intelligent level spacing based on cryptocurrency price magnitude
- Distance Information Table - Real-time percentage distance to nearest levels
- Combined Level Labels - Clear identification when multiple level types coincide
- Performance Optimized - Configurable visible range and label limits
- Comprehensive Alerts - Notifications when price crosses any level type
───────────────────────────────────────
HOW IT WORKS
───────────────────────────────────────
PSYCHOLOGICAL LEVELS CONCEPT:
Psychological levels are round numbers where traders tend to place orders, creating natural support and resistance zones. These include:
- Forex: 1.0000, 1.0100, 1.0050 (pips)
- Crypto: $100, $1,000, $10,000 (whole numbers)
- Indices: 10,000, 10,500, 11,000 (points)
Why They Matter:
- Traders naturally gravitate to round numbers
- Stop losses cluster at these levels
- Take profit orders concentrate here
- Institutional algorithmic trading often targets these levels
DYNAMIC ATR-BASED SPACING:
Traditional Method:
- Fixed spacing regardless of volatility
- May be too tight in volatile markets
- May be too wide in quiet markets
Dynamic Method (Recommended):
- Uses ATR (Average True Range) to measure volatility
- Automatically adjusts level spacing
- Tighter levels in low volatility
- Wider levels in high volatility
Calculation:
1. Calculate ATR over specified period (default: 14)
2. Multiply by ATR multiplier (default: 2.0)
3. Round to nearest psychological level
4. Generate levels at dynamic intervals
Benefits:
- Adapts to market conditions
- More relevant levels in all volatility regimes
- Reduces clutter in trending markets
- Provides more detail in ranging markets
LEVEL TYPES:
Major Levels (250 pip/point):
- Highest significance
- Primary support/resistance zones
- Color: Red (default)
- Style: Solid lines
- Spacing: 2.5x standard step
Standard Levels (100 pip/point):
- Secondary importance
- Common psychological barriers
- Color: Blue (default)
- Style: Dashed lines
- Spacing: Standard step
Mid Levels (50% between major):
- Optional intermediate levels
- Halfway between major levels
- Color: Gray (default)
- Style: Dotted lines
- Usage: Additional confluence points
Intraday Levels (sub-100 pip):
- For intraday traders
- Fine-grained precision
- Color: Yellow (default)
- Style: Dotted lines
- Only shown on intraday timeframes
SMART ASSET DETECTION:
Forex Pairs:
- Detects major currency pairs automatically
- Uses pip-based calculations
- Standard: 100 pips (0.0100)
- Major: 250 pips (0.0250)
- Intraday: 20, 50, 80 pip subdivisions
Cryptocurrencies:
- Automatic price magnitude detection
- Adaptive spacing based on price:
* Under $0.10: Levels at $0.01, $0.05
* $0.10-$1: Levels at $0.10, $0.50
* $1-$10: Levels at $1, $5
* $10-$100: Levels at $10, $50
* $100-$1,000: Levels at $100, $500
* $1,000-$10,000: Levels at $1,000, $5,000
* Over $10,000: Levels at $5,000, $10,000
Indices & CFDs:
- Fixed point-based system
- Major: 500 point intervals (with 250 sub-levels)
- Standard: 100 point intervals
- Suitable for stock indices like SPX, NASDAQ
COMBINED LEVEL LABELS:
When multiple level types coincide at the same price:
- Single line drawn (highest priority color)
- Combined label shows all types
- Priority: Major > Standard > Mid > Intraday
Example Label Formats:
- "1.1000 Major" - Major level only
- "1.1000 Std + Major" - Both standard and major
- "50000 Intra + Mid + Std" - Three levels coincide
Benefits:
- Cleaner chart appearance
- Clear identification of confluence
- Reduced visual clutter
- Easy to spot high-importance levels
DISTANCE INFORMATION TABLE:
Real-time tracking of nearest levels:
Table Contents:
- Nearest major level above (price and % distance)
- Nearest standard level above (price and % distance)
- Nearest standard level below (price and % distance)
Display:
- Top right corner (configurable)
- Color-coded by level type
- Real-time percentage calculations
- Helpful for position management
Usage:
- Identify proximity to key levels
- Set realistic profit targets
- Gauge potential move magnitude
- Monitor approaching resistance/support
ALERT SYSTEM:
Comprehensive crossing alerts:
Alert Types:
- Major Level Crosses
- Standard Level Crosses
- Intraday Level Crosses
Alert Modes:
- First Cross Only: Alert once when level is crossed
- All Crosses: Alert every time level is crossed
Alert Information:
- Level type crossed
- Specific price level
- Direction (above/below)
- One alert per bar to prevent spam
Configuration:
- Enable/disable by level type
- Choose alert frequency
- Customize for your trading style
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HOW TO USE
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INITIAL SETUP:
General Settings:
1. Enable "Use Dynamic ATR-Based Spacing" (recommended)
2. Set ATR Period (14 is standard)
3. Adjust ATR Multiplier (2.0 is balanced)
Visibility Settings:
1. Set Visible Range % (10% recommended for clarity)
2. Adjust Label Offset for readability
3. Configure performance limits if needed
Level Selection:
1. Enable/disable level types based on trading style
2. Adjust line counts for each type
3. Choose line styles and colors for visibility
TRADING STRATEGIES:
Breakout Trading:
1. Wait for price to approach major or standard level
2. Monitor for consolidation near level
3. Enter on confirmed break above/beyond level
4. Stop loss just beyond the broken level
5. Target: Next major or standard level
Rejection Trading:
1. Identify major psychological level
2. Wait for price to test the level
3. Look for rejection signals (wicks, bearish/bullish candles)
4. Enter in direction of rejection
5. Stop beyond the level
6. Target: Previous level or mid-level
Range Trading:
1. Identify range between two major levels
2. Buy at lower psychological level
3. Sell at upper psychological level
4. Use standard and mid-levels for position management
5. Exit if major level breaks with volume
Confluence Trading:
1. Look for combined levels (Std + Major)
2. These represent high-probability zones
3. Use as primary support/resistance
4. Increase position size at confluence
5. Expect stronger reactions at these levels
Session-Based Trading:
1. Note opening level at session start (Asian/London/NY)
2. Trade breakouts of major levels during high-volume sessions
3. London/NY sessions: More likely to break levels
4. Asian session: More likely to respect levels (range trading)
RISK MANAGEMENT WITH PSYCHOLOGICAL LEVELS:
Stop Loss Placement:
- Place stops just beyond psychological levels
- Add buffer (5-10 pips for forex)
- Avoid exact round numbers (stop hunting risk)
- Use previous major level as maximum stop
Take Profit Strategy:
- First target: Next standard level (partial profit)
- Second target: Next major level (remaining position)
- Trail stops to breakeven at first target
- Use distance table to calculate risk/reward
Position Sizing:
- Larger positions at major levels (higher probability)
- Smaller positions at intraday levels (lower probability)
- Scale in at standard levels between major levels
- Reduce size when multiple levels are close together
TIMEFRAME CONSIDERATIONS:
Higher Timeframes (4H, Daily, Weekly):
- Focus on Major and Standard levels only
- Disable Intraday and Mid levels
- Wider level spacing expected
- Use for swing trading and position trading
Lower Timeframes (5m, 15m, 1H):
- Enable all level types
- Use Intraday levels for precision
- Tighter level spacing acceptable
- Good for day trading and scalping
Multi-Timeframe Approach:
- Identify major levels on Daily/4H charts
- Refine entries using 15m/1H intraday levels
- Trade in direction of higher timeframe bias
- Use lower timeframe levels for position management
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CONFIGURATION GUIDE
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GENERAL SETTINGS:
Dynamic ATR-Based Spacing:
- Enabled: Recommended for most markets
- Disabled: Fixed psychological levels
- ATR Period: 14 (standard), 10 (responsive), 20 (smooth)
- ATR Multiplier: 1.0-5.0 (2.0 is balanced)
VISIBILITY SETTINGS:
Visible Range %:
- 5%: Very tight range, minimal clutter
- 10%: Balanced view (recommended)
- 20%: Wide range, more context
- 50%: Maximum range, all levels visible
Label Offset:
- 10-20 bars: Close to current price
- 30-50 bars: Moderate distance
- 50-100 bars: Far from price action
Performance Limits:
- Max Historical Bars: Reduce if indicator loads slowly
- Max Labels: Reduce for cleaner chart (20-30 recommended)
LEVEL CUSTOMIZATION:
Line Count:
- Lower (1-3): Cleaner chart, fewer levels
- Medium (4-6): Balanced view
- Higher (7-10): More context, busier chart
Line Styles:
- Solid: High importance, easy to see
- Dashed: Medium importance, clear but subtle
- Dotted: Low importance, minimal visual weight
Colors:
- Use contrasting colors for different level types
- Red/Blue/Yellow default works well
- Adjust based on chart background and personal preference
DISTANCE TABLE:
Position:
- Top Right: Doesn't interfere with price action
- Top Left: Good for right-side price scale
- Bottom positions: Less common but available
Colors:
- Default (white text, dark background) works for most charts
- Match your chart theme for consistency
- Ensure text is readable against background
ALERT CONFIGURATION:
Alert by Level Type:
- Major: Most important, fewer false signals
- Standard: Balance of frequency and importance
- Intraday: Many signals, best for active traders
Alert Frequency:
- First Cross Only: Cleaner, less noise (recommended for swing trading)
- All Crosses: Every touch, good for scalping
Alert Setup in TradingView:
1. Configure desired alert types in indicator settings
2. Right-click chart → Add Alert
3. Select this indicator
4. Choose "Any alert() function call"
5. Set delivery method (mobile, email, webhook)
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ASSET-SPECIFIC TIPS
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FOREX (EUR/USD, GBP/USD, etc.):
- Major levels at x.x000, x.x500
- Standard levels at x.xx00
- Intraday levels at 20/50/80 pips
- Most effective during London/NY sessions
- Watch for "figure" levels (1.0000, 1.1000)
CRYPTOCURRENCIES (BTC, ETH, etc.):
- Enable dynamic spacing for volatile markets
- Levels adjust automatically based on price
- Watch major $1,000 increments for BTC
- $100 levels important for ETH
- Smaller caps: Use standard levels
- High volatility: Increase ATR multiplier to 3.0
STOCK INDICES (SPX, NASDAQ, etc.):
- 100-point levels most important
- 500-point levels for major S/R
- 50-point mid-levels for refinement
- Watch end-of-day for level reactions
- Futures often lead spot on level breaks
GOLD/COMMODITIES:
- Major levels at $50 increments ($1,900, $1,950)
- Standard levels at $10 increments
- Very reactive to psychological levels
- Watch for false breaks during low volume
- Best reactions during active trading hours
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BEST PRACTICES
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Chart Setup:
- Use clean price action charts
- Avoid too many indicators
- Ensure psychological levels are clearly visible
- Match colors to your chart theme
Level Selection:
- Start with Major and Standard levels only
- Add Mid and Intraday as needed
- Less is more - avoid chart clutter
- Adjust based on timeframe
Combining with Other Tools:
- Volume profile for confluence
- Trendlines intersecting psychological levels
- Moving averages near round numbers
- Fibonacci levels coinciding with psychological levels
Common Mistakes to Avoid:
- Trading every level touch (be selective)
- Ignoring volume confirmation
- Setting stops exactly at levels (stop hunting)
- Forgetting to adjust for different assets
- Over-relying on levels without price action confirmation
Performance Optimization:
- Reduce visible range for faster loading
- Lower max historical bars on lower timeframes
- Limit labels to 30-50 for clarity
- Disable unused level types
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EDUCATIONAL DISCLAIMER
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This indicator identifies psychological price levels based on round numbers that tend to act as support and resistance. The methodology includes:
- Round number detection algorithms
- ATR-based dynamic spacing calculations
- Asset-specific level determination
- Distance percentage calculations
Psychological levels are a recognized concept in technical analysis, studied by traders and institutions. However, they do not guarantee price reactions and should be used as part of a comprehensive trading strategy including proper risk management, volume analysis, and price action confirmation.
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USAGE DISCLAIMER
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This tool is for educational and analytical purposes. Psychological levels can act as support or resistance but price reactions are not guaranteed. Dynamic spacing may generate different levels in different market conditions. Always conduct independent analysis, use proper risk management, and never risk capital you cannot afford to lose. Past performance does not indicate future results.
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CREDITS & ATTRIBUTION
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Original Concept: Sonar Lab
