XAUUSD Liquidity Sweep + Engulfing (4H/2H/15m)Key Features in This Script:
4H Bias (Trend): We use RSI on 4H to determine if the market is in a bullish or bearish trend.
2H Setup: When price sweeps below previous lows or above previous highs (liquidity sweep), we confirm it with RSI and an engulfing candle.
15m Entry: After the liquidity sweep is confirmed on the 15m chart, we check for a bullish engulfing (for buys) or bearish engulfing (for sells) with RSI confirmation.
How to Use It:
Add the Script: Copy-paste the code above into TradingView’s Pine Editor.
Apply it to the 15-minute chart for XAUUSD (Gold).
Alerts: Set up alerts when a Buy or Sell signal appears based on the conditions.
Alerts Example:
When a liquidity sweep and RSI flip happens with an engulfing candle, TradingView will notify you, helping you enter at the right time.
🚀 Next Steps:
Try it out and let me know how the alerts and signals are working for you.
If you'd like to add custom stop-loss or take-profit calculations, or include Fibonacci levels, let me know!
Indikator dan strategi
Direction via Zone Break [by rukich]🟠 OVERVIEW
The indicator shows the direction of movement and zones: SSL, BSL, FVG.
Zones serve as support/resistance and as validation/invalidation of a movement reversal.
🟠 COMPONENTS
The direction of movement is built based on a three-candle swing high (BSL) and swing low (SSL) pattern. If swing high (BSL) and swing low (SSL) are formed, and then an internal swing high/low is formed (depending on the direction of movement), then in case the initial movement continues — for example, in an upward movement — the new swing low (SSL) will be the minimum before the update, i.e., the internal low, while the swing high (BSL) will be formed according to the three-candle pattern.
A change of direction is considered when a candle closes beyond the key swing high/low (BSL/SSL), depending on the direction of movement. For example, in an upward movement, a break occurs when a candle closes beyond the swing low (SSL). After that, the swing high (BSL) will be the nearest fractal (swing high), and the swing low (SSL) will be formed according to the three-candle pattern.
All the above logic also applies to downward movements.
Within each movement, there can be FVG zones, which can act as support/resistance or indicate weakness in the movement direction.
Note: if the movement is upward, only bullish FVG+ will be displayed; if the movement is downward, only bearish FVG- will be displayed.
Weakness of movement direction.
For example, consider an upward impulse with the nearest FVG+ zone. If the price closes beyond the lower boundary of the zone, it will be considered invalidated (inv. FVG-), which in turn indicates weakness in the movement direction and a possible local short, which may subsequently lead to a break of the entire movement.
🟠 HOW TO USE
There are only two visual settings in the configuration:
Show previous SSL/BSL – enables/disables the display of all previous SSL/BSL zones
Show Bullish/Bearish trend – enables/disables background shading between SSL and BSL for visual understanding of the movement direction
On the chart, the following are displayed:
Labels with current SSL/BSL
FVG+- / inv. FVG+- zones, for trading in the movement direction
In case the nearest FVG is invalidated, a label will appear with the text: Weak bullish/bearish & local short/long (this is not a signal, but only indicates the probability of a potential move based on the weakness of the nearest zone)
🟠 CONCLUSION
The indicator helps determine the current movement with zones for trading in the direction, and also indicates movement weakness through invalidation of the nearest zones.
QUANTLABS Fisher Stream: 5-TF Consensus RibbonMarkets are noisy. A single timeframe often lies. The Fisher Stream cuts through the noise by inspecting 5 sequential timeframes (Default: 5m, 6m, 7m, 8m, 9m) simultaneously to find the "Perfect Flow."
Unlike standard indicators that repaint or lag, this tool looks for Consensus. When the fast, medium, and slow timeframes within the stream all agree, the ribbon glows, and the background flashes, indicating a high-probability "Full Flow" state.
The Ribbon: Plots 5 distinct Fisher Transforms.
Blue Lines: Faster timeframes (leading indicators).
Orange Lines: Slower timeframes (trend confirmation).
Consensus Check:
FULL FLOW (Bull): When all 5 lines are > 0. The background flashes Green.
FULL FLOW (Bear): When all 5 lines are < 0. The background flashes Red.
MIXED (Chop): When the lines disagree. The background remains dark, warning you to stay out.
Dashboard: A heads-up display showing the exact Fisher value for every timeframe in the cluster.
Scalpers: Use the default settings (5m-9m). Enter only when the dashboard says "FULL FLOW" and the candles turn solid Green/Red.
Trend Traders: Change the inputs to higher timeframes (e.g., 15m, 30m, 45m, 1H, 4H) to catch major swing moves.
Moving Average Ribbon by AbrarIndicator Description — Moving Average Ribbon (Multi-TF Enhanced)
The Moving Average Ribbon (Enhanced) is a powerful trend-analysis tool that displays up to 7 customizable moving averages along with a Weekly SMA 150 for higher-timeframe confluence. Each MA can be individually configured with length, source, type (SMA/EMA/WMA/SMMA/VWMA), and color.
The script also features automatic labels on the latest bar, allowing traders to instantly identify each moving average on the chart without confusion.
This indicator is designed to help traders:
Visualize trend strength and direction
Spot dynamic support/resistance zones
Identify momentum shifts
Incorporate higher-timeframe confirmation through the Weekly SMA 150
Whether you trade intraday or swing, this ribbon provides a clean and flexible layout to understand market structure at a glance.
(QUANTLABS) Fractal God Mode: 25-Timeframe Scanner The indicator aggregates data into three distinct metric columns:
1. STRUCT (Market Structure) This analyzes price action relative to Fractal Pivots (Highs and Lows) to determine market direction.
HH (Breakout): Price has closed above the previous Pivot High. (Bullish Structure)
LL (Breakdown): Price has closed below the previous Pivot Low. (Bearish Structure)
TRAPPED: Price is trading between the last Pivot High and Low. This indicates a ranging market where trend trades should be avoided.
2. VELOCITY (Thrust) This measures the specific strength of the current candle on that timeframe.
The Math: It calculates the ratio of the body (Close - Open) relative to the total candle range (High - Low).
The Signal: High positive numbers (Green) indicate buyers are closing near highs. High negative numbers (Red) indicate sellers are dominating the range.
3. QUALITY (Efficiency Ratio) This acts as a "Noise Filter." It determines if the trend is moving in a straight line or whipping back and forth.
The Math: It divides the Net Price Movement (Distance from 5 bars ago) by the Total Path Traveled (Sum of the ranges of the last 5 bars).
PRISTINE (Values > 0.6): The market is moving efficiently in one direction.
CHOPPY (Values < 0.4): The market is volatile and non-directional (High Noise).
1. The Matrix (Dashboard) Located in the bottom right, this table gives you an instant read on Short-Term (3m-9m), Medium-Term (10m-45m), and Long-Term (1H-Daily) trends.
2. Coherence Flow At the bottom of the table, the script sums up the structural score of all 25 timeframes.
COHERENT BULL: When the Short, Medium, and Long terms align green.
COHERENT BEAR: When the Short, Medium, and Long terms align red.
3. God Mode (Global S/R) The indicator can plot Support and Resistance levels from higher timeframes onto your current chart. For example, while trading the 5m chart, you can see the 4H and Daily pivot levels plotted automatically as dotted lines, ensuring you never trade blindly into a higher-timeframe wall.
Trend Following: Wait for the "Coherent Bull/Bear" signal at the bottom of the dashboard. This confirms that momentum is aligned from the 3m chart up to the Daily.
Scalping: Focus on the Quality column. Only take trades when the Quality is "CLEAN" or "PRISTINE." Avoid entries when the dashboard warns of "High Noise" (Choppy).
Risk Management: If the dashboard shows "TRAPPED" on the Long Term (1H+), reduce position size or wait for a breakout.
Pivot Lookback: Adjusts the sensitivity of the Fractal Structure (Default: 5).
Show Fractal DNA Matrix: Toggles the dashboard table.
Show ALL Timeframe S/R: Enables "God Mode" to see supports/resistances from all 25 timeframes (Heavy visual processing, use carefully).
Smart Christmas Tree Overlay with Live Market StatusGet into the holiday spirit while you trade! 🎅📈
This script adds a festive, animated Christmas tree overlay to your chart that reacts to live market conditions in real-time. It is designed with a "Slim Fit" ratio to minimize screen real estate while maximizing the holiday vibe.
Key Features:
🎄 Trend-Reactive Lighting:
Bullish (Up): The tree lights sparkle in Green tones, and a special Blue Diamond (🔷) shines to indicate upward momentum.
Bearish (Down): The tree lights turn Red, and a Red Diamond (♦️) blinks to warn of downward movement.
✨ Real-Time Animation: The lights and star blink dynamically based on price updates, making the chart feel alive.
📊 Mini Market HUD: Displays the current Ticker, Last Price, Price Change, and Change % neatly below the tree.
📐 Fully Customizable: You can easily change the tree's Position (Corners/Middle) and Size (Small to Large) via the settings menu.
🖼️ "Always On" Overlay: Uses the TradingView table function to stay fixed on your screen, regardless of zoom or scroll.
How to use: Simply add it to your chart, select your preferred corner in the settings, and enjoy the show!
Happy Holidays and Profitable Trading! 🎁
==================================================================================
트레이딩을 하면서 연말 분위기를 느껴보세요! 🎅📈
이 스크립트는 실시간 시장 상황에 반응하는 애니메이션 크리스마스 트리 오버레이를 차트에 추가합니다. 화면 공간을 최소한으로 차지하도록 "슬림 핏" 비율로 디자인되었습니다.
주요 기능:
🎄 추세 반응형 조명:
상승장 (Bullish): 트리 조명이 녹색 톤으로 반짝이며, 상승 모멘텀을 나타내는 특별한 **파란색 다이아몬드(🔷)**가 빛납니다.
하락장 (Bearish): 트리 조명이 빨간색으로 변하고, **빨간색 다이아몬드(♦️)**가 깜빡이며 하락을 경고합니다.
✨ 실시간 애니메이션: 가격 업데이트에 따라 조명과 별이 역동적으로 깜빡여 차트에 생동감을 줍니다.
📊 미니 시세판 (HUD): 트리 바로 아래에 현재 종목명, 현재가, 가격 변동폭, 변동률(%)을 깔끔하게 표시합니다.
📐 완벽한 커스터마이징: 설정 메뉴를 통해 트리의 위치(모서리/중간)와 크기(작게~크게)를 쉽게 변경할 수 있습니다.
🖼️ "Always On" 오버레이: TradingView의 table 기능을 사용하여 줌이나 스크롤에 관계없이 화면에 고정됩니다.
사용 방법: 차트에 추가하고 설정에서 원하는 위치를 선택하기만 하면 됩니다!
행복한 연말 보내시고 성투하세요! 🎁
양키트레이더 from PropKorea.com
Market Maker Position Bars (Position Size)**Market Maker Position Bars (Position Size) – Indicator Description for TradingView**
This indicator is a clean, professional visualization tool designed for traders who track suspected **market maker / institutional positioning** (especially popular in ICT/SMC communities) on indices like the SPX, NDX, ES, etc.
It draws up to **20 horizontal position bars** directly on the chart, anchored to the very last bar, representing hypothetical long and short positions at specific price levels with corresponding position sizes.
### Key Features & Visual Logic
- **Green bars (Boxes 1–10)** → Extend to the **right** of the last bar
Represent **long positions** (bullish interest)
Default translucent green fill
- **Red bars (Boxes 11–20)** → Extend to the **left** of the last bar
Represent **short positions** (bearish interest)
Default translucent red fill
- **Bar width = Position size**
The length of each box is automatically scaled based on the absolute value you enter in “Position Size”.
Larger position → wider (longer) bar
- Each box displays **Price / Position Size** text inside (e.g., `5720.50 / 1250`)
### Fully Customizable Settings
**Global Geometry**
- Total Box Height (default 10.0) – controls vertical thickness of all boxes
**Position Size Scaling**
- Base Box Width (bars)
- Width per Position Unit – fine-tune how aggressively width grows with size
- Minimum & Maximum Bar Width – prevents boxes from becoming too tiny or excessively long
**Global Text Settings**
- Text color, size (Tiny → Huge), and bold option
**Individual Box Controls (20 independent boxes)**
- Show/Hide toggle
- SPX Price (or any symbol price level)
- Position Size (any positive/negative number; absolute value determines width)
- Fill color (override default green/red if desired)
### How It Works Internally
- All boxes are drawn only on the **last confirmed bar** (`barstate.islast`)
- Width calculation:
`Width = BaseWidth + (|Position Size| × Width per Unit)`
Clamped between Min and Max Bar Width
- Green boxes start at the current bar and extend forward (right)
- Red boxes end at the current bar and extend backward (left)
- Uses Pine Script v6 `box.new()` with `xloc.bar_index` for perfect alignment and performance
### Ideal Use Cases
- Visualizing daily/weekly **order block** or **fair value gap** interest levels with estimated size
- Mapping **dealer positioning**, gamma exposure levels, or large options interest
- Quickly seeing where the “smart money” is theoretically stacked on both sides of the market
- Clean chart markup for screenshots, mentoring, or live trading journals
A minimalist yet powerful tool favored by ICT, SMC, and footprint-style traders who want to see **where the big players might be positioned** — all in one glance without cluttering the chart with hundreds of objects.
Clean. Visual. Size-aware. Perfect for high-level market profiling.
Price Action Concepts [RUDYINDICATOR]/// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
// © RUDYBANK INDICATOR - formerly know as RUDY INDICATOR
//@version=5
indicator("Price Action Concepts ", shorttitle = "RUDYINDICATOR-V1
- Price Action RUDYINDICATOR ", overlay = true, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500, max_bars_back = 500, max_polylines_count = 100)
//-----------------------------------------------------------------------------{
//Boolean set
//-----------------------------------------------------------------------------{
s_BOS = 0
s_CHoCH = 1
i_BOS = 2
i_CHoCH = 3
i_pp_CHoCH = 4
green_candle = 5
red_candle = 6
s_CHoCHP = 7
i_CHoCHP = 8
boolean =
array.from(
false
, false
, false
, false
, false
, false
, false
, false
, false
)
//-----------------------------------------------------------------------------{
// User inputs
//-----------------------------------------------------------------------------{
show_swing_ms = input.string ("All" , "Swing        " , inline = "1", group = "MARKET STRUCTURE" , options = )
show_internal_ms = input.string ("All" , "Internal     " , inline = "2", group = "MARKET STRUCTURE" , options = )
internal_r_lookback = input.int (5 , "" , inline = "2", group = "MARKET STRUCTURE" , minval = 2)
swing_r_lookback = input.int (50 , "" , inline = "1", group = "MARKET STRUCTURE" , minval = 2)
ms_mode = input.string ("Manual" , "Market Structure Mode" , inline = "a", group = "MARKET STRUCTURE" , tooltip = " Use selected lenght Use automatic lenght" ,options = )
show_mtf_str = input.bool (true , "MTF Scanner" , inline = "9", group = "MARKET STRUCTURE" , tooltip = "Display Multi-Timeframe Market Structure Trend Directions. Green = Bullish. Red = Bearish")
show_eql = input.bool (false , "Show EQH/EQL" , inline = "6", group = "MARKET STRUCTURE")
plotcandle_bool = input.bool (false , "Plotcandle" , inline = "3", group = "MARKET STRUCTURE" , tooltip = "Displays a cleaner colored candlestick chart in place of the default candles. (requires hiding the current ticker candles)")
barcolor_bool = input.bool (false , "Bar Color" , inline = "4", group = "MARKET STRUCTURE" , tooltip = "Color the candle bodies according to market strucutre trend")
i_ms_up_BOS = input.color (#089981 , "" , inline = "2", group = "MARKET STRUCTURE")
i_ms_dn_BOS = input.color (#f23645 , "" , inline = "2", group = "MARKET STRUCTURE")
s_ms_up_BOS = input.color (#089981 , "" , inline = "1", group = "MARKET STRUCTURE")
s_ms_dn_BOS = input.color (#f23645 , "" , inline = "1", group = "MARKET STRUCTURE")
lvl_daily = input.bool (false , "Day   " , inline = "1", group = "HIGHS & LOWS MTF")
lvl_weekly = input.bool (false , "Week " , inline = "2", group = "HIGHS & LOWS MTF")
lvl_monthly = input.bool (false , "Month" , inline = "3", group = "HIGHS & LOWS MTF")
lvl_yearly = input.bool (false , "Year  " , inline = "4", group = "HIGHS & LOWS MTF")
css_d = input.color (color.blue , "" , inline = "1", group = "HIGHS & LOWS MTF")
css_w = input.color (color.blue , "" , inline = "2", group = "HIGHS & LOWS MTF")
css_m = input.color (color.blue , "" , inline = "3", group = "HIGHS & LOWS MTF")
css_y = input.color (color.blue , "" , inline = "4", group = "HIGHS & LOWS MTF")
s_d = input.string ('⎯⎯⎯' , '' , inline = '1', group = 'HIGHS & LOWS MTF' , options = )
s_w = input.string ('⎯⎯⎯' , '' , inline = '2', group = 'HIGHS & LOWS MTF' , options = )
s_m = input.string ('⎯⎯⎯' , '' , inline = '3', group = 'HIGHS & LOWS MTF' , options = )
s_y = input.string ('⎯⎯⎯' , '' , inline = '4', group = 'HIGHS & LOWS MTF' , options = )
ob_show = input.bool (true , "Show Last    " , inline = "1", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display volumetric order blocks on the chart Ammount of volumetric order blocks to show")
ob_num = input.int (5 , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Orderblocks number", minval = 1, maxval = 10)
ob_metrics_show = input.bool (true , "Internal Buy/Sell Activity" , inline = "2", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display volume metrics that have formed the orderblock")
css_metric_up = input.color (color.new(#089981, 50) , "         " , inline = "2", group = "VOLUMETRIC ORDER BLOCKS")
css_metric_dn = input.color (color.new(#f23645 , 50) , "" , inline = "2", group = "VOLUMETRIC ORDER BLOCKS")
ob_swings = input.bool (false , "Swing Order Blocks" , inline = "a", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display swing volumetric order blocks")
css_swing_up = input.color (color.new(color.gray , 90) , "                 " , inline = "a", group = "VOLUMETRIC ORDER BLOCKS")
css_swing_dn = input.color (color.new(color.silver, 90) , "" , inline = "a", group = "VOLUMETRIC ORDER BLOCKS")
ob_filter = input.string ("None" , "Filtering             " , inline = "d", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Filter out volumetric order blocks by BOS/CHoCH/CHoCH+", options = )
ob_mitigation = input.string ("Absolute" , "Mitigation           " , inline = "4", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Trigger to remove volumetric order blocks", options = )
ob_pos = input.string ("Precise" , "Positioning          " , inline = "k", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Position of the Order Block Cover the whole candle Cover half candle Adjust to volatility Same as Accurate but more precise", options = )
use_grayscale = input.bool (false , "Grayscale" , inline = "6", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Use gray as basic order blocks color")
use_show_metric = input.bool (true , "Show Metrics" , inline = "7", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Show volume associated with the orderblock and his relevance")
use_middle_line = input.bool (true , "Show Middle-Line" , inline = "8", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Show mid-line order blocks")
use_overlap = input.bool (true , "Hide Overlap" , inline = "9", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Hide overlapping order blocks")
use_overlap_method = input.string ("Previous" , "Overlap Method    " , inline = "Z", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = " Preserve the most recent volumetric order blocks Preserve the previous volumetric order blocks", options = )
ob_bull_css = input.color (color.new(#089981 , 90) , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS")
ob_bear_css = input.color (color.new(#f23645 , 90) , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS")
show_acc_dist_zone = input.bool (false , "" , inline = "1", group = "Accumulation And Distribution")
zone_mode = input.string ("Fast" , "" , inline = "1", group = "Accumulation And Distribution" , tooltip = " Find small zone pattern formation Find bigger zone pattern formation" ,options = )
acc_css = input.color (color.new(#089981 , 60) , "" , inline = "1", group = "Accumulation And Distribution")
dist_css = input.color (color.new(#f23645 , 60) , "" , inline = "1", group = "Accumulation And Distribution")
show_lbl = input.bool (false , "Show swing point" , inline = "1", group = "High and Low" , tooltip = "Display swing point")
show_mtb = input.bool (false , "Show High/Low/Equilibrium" , inline = "2", group = "High and Low" , tooltip = "Display Strong/Weak High And Low and Equilibrium")
toplvl = input.color (color.red , "Premium Zone   " , inline = "3", group = "High and Low")
midlvl = input.color (color.gray , "Equilibrium Zone" , inline = "4", group = "High and Low")
btmlvl = input.color (#089981 , "Discount Zone    " , inline = "5", group = "High and Low")
fvg_enable = input.bool (false , "        " , inline = "1", group = "FAIR VALUE GAP" , tooltip = "Display fair value gap")
what_fvg = input.string ("FVG" , "" , inline = "1", group = "FAIR VALUE GAP" , tooltip = "Display fair value gap", options = )
fvg_num = input.int (5 , "Show Last  " , inline = "1a", group = "FAIR VALUE GAP" , tooltip = "Number of fvg to show")
fvg_upcss = input.color (color.new(#089981, 80) , "" , inline = "1", group = "FAIR VALUE GAP")
fvg_dncss = input.color (color.new(color.red , 80) , "" , inline = "1", group = "FAIR VALUE GAP")
fvg_extend = input.int (10 , "Extend FVG" , inline = "2", group = "FAIR VALUE GAP" , tooltip = "Extend the display of the FVG.")
fvg_src = input.string ("Close" , "Mitigation  " , inline = "3", group = "FAIR VALUE GAP" , tooltip = " Use the close of the body as trigger Use the extreme point of the body as trigger", options = )
fvg_tf = input.timeframe ("" , "Timeframe " , inline = "4", group = "FAIR VALUE GAP" , tooltip = "Timeframe of the fair value gap")
t = color.t (ob_bull_css)
invcol = color.new (color.white , 100)
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - UDT }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
type bar
float o = open
float c = close
float h = high
float l = low
float v = volume
int n = bar_index
int t = time
type Zphl
line top
line bottom
label top_label
label bottom_label
bool stopcross
bool sbottomcross
bool itopcross
bool ibottomcross
string txtup
string txtdn
float topy
float bottomy
float topx
float bottomx
float tup
float tdn
int tupx
int tdnx
float itopy
float itopx
float ibottomy
float ibottomx
float uV
float dV
type FVG
box box
line ln
bool bull
float top
float btm
int left
int right
type ms
float p
int n
float l
type msDraw
int n
float p
color css
string txt
bool bull
type obC
float top
float btm
int left
float avg
float dV
float cV
int wM
int blVP
int brVP
int dir
float h
float l
int n
type obD
box ob
box eOB
box blB
box brB
line mL
type zone
chart.point points
float p
int c
int t
type hqlzone
box pbx
box ebx
box lbx
label plb
label elb
label lbl
type ehl
float pt
int t
float pb
int b
type pattern
string found = "None"
bool isfound = false
int period = 0
bool bull = false
type alerts
bool chochswing = false
bool chochplusswing = false
bool swingbos = false
bool chochplus = false
bool choch = false
bool bos = false
bool equal = false
bool ob = false
bool swingob = false
bool zone = false
bool fvg = false
bool obtouch = false
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - General Setup }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
bar b = bar.new()
var pattern p = pattern.new()
alerts blalert = alerts.new()
alerts bralert = alerts.new()
if p.isfound
p.period += 1
if p.period == 50
p.period := 0
p.found := "None"
p.isfound := false
p.bull := na
switch
b.c > b.o => boolean.set(green_candle, true)
b.c < b.o => boolean.set(red_candle , true)
f_zscore(src, lookback) =>
(src - ta.sma(src, lookback)) / ta.stdev(src, lookback)
var int iLen = internal_r_lookback
var int sLen = swing_r_lookback
vv = f_zscore(((close - close ) / close ) * 100,iLen)
if ms_mode == "Dynamic"
switch
vv >= 1.5 or vv <= -1.5 => iLen := 10
vv >= 1.6 or vv <= -1.6 => iLen := 9
vv >= 1.7 or vv <= -1.7 => iLen := 8
vv >= 1.8 or vv <= -1.8 => iLen := 7
vv >= 1.9 or vv <= -1.9 => iLen := 6
vv >= 2.0 or vv <= -2.0 => iLen := 5
=> iLen
var msline = array.new(0)
iH = ta.pivothigh(high, iLen, iLen)
sH = ta.pivothigh(high, sLen, sLen)
iL = ta.pivotlow (low , iLen, iLen)
sL = ta.pivotlow (low , sLen, sLen)
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - ARRAYS }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
hl () =>
= request.security(syminfo.tickerid , 'D' , hl() , lookahead = barmerge.lookahead_on)
= request.security(syminfo.tickerid , 'W' , hl() , lookahead = barmerge.lookahead_on)
= request.security(syminfo.tickerid , 'M' , hl() , lookahead = barmerge.lookahead_on)
= request.security(syminfo.tickerid , '12M', hl() , lookahead = barmerge.lookahead_on)
lstyle(style) =>
out = switch style
'⎯⎯⎯' => line.style_solid
'----' => line.style_dashed
'····' => line.style_dotted
mtfphl(h, l ,tf ,css, pdhl_style) =>
var line hl = line.new(
na
, na
, na
, na
, xloc = xloc.bar_time
, color = css
, style = lstyle(pdhl_style)
)
var line ll = line.new(
na
, na
, na
, na
, xloc = xloc.bar_time
, color = css
, style = lstyle(pdhl_style)
)
var label lbl = label.new(
na
, na
, xloc = xloc.bar_time
, text = str.format('P{0}L', tf)
, color = invcol
, textcolor = css
, size = size.small
, style = label.style_label_left
)
var label hlb = label.new(
na
, na
, xloc = xloc.bar_time
, text = str.format('P{0}H', tf)
, color = invcol
, textcolor = css
, size = size.small
, style = label.style_label_left
)
hy = ta.valuewhen(h != h , h , 1)
hx = ta.valuewhen(h == high , time , 1)
ly = ta.valuewhen(l != l , l , 1)
lx = ta.valuewhen(l == low , time , 1)
if barstate.islast
extension = time + (time - time ) * 50
line.set_xy1(hl , hx , hy)
line.set_xy2(hl , extension , hy)
label.set_xy(hlb, extension , hy)
line.set_xy1(ll , lx , ly)
line.set_xy2(ll , extension , ly)
label.set_xy(lbl, extension , ly)
if lvl_daily
mtfphl(pdh , pdl , 'D' , css_d, s_d)
if lvl_weekly
mtfphl(pwh , pwl , 'W' , css_w, s_w)
if lvl_monthly
mtfphl(pmh , pml, 'M' , css_m, s_m)
if lvl_yearly
mtfphl(pyh , pyl , '12M', css_y, s_y)
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - Market Structure }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
method darkcss(color css, float factor, bool bull) =>
blue = color.b(css) * (1 - factor)
red = color.r(css) * (1 - factor)
green = color.g(css) * (1 - factor)
color.rgb(red, green, blue, 0)
method f_line(msDraw d, size, style) =>
var line id = na
var label lbl = na
id := line.new(
d.n
, d.p
, b.n
, d.p
, color = d.css
, width = 1
, style = style
)
if msline.size() >= 250
line.delete(msline.shift())
msline.push(id)
lbl := label.new(
int(math.avg(d.n, b.n))
, d.p
, d.txt
, color = invcol
, textcolor = d.css
, style = d.bull ? label.style_label_down : label.style_label_up
, size = size
, text_font_family = font.family_monospace
)
structure(bool mtf) =>
msDraw drw = na
bool isdrw = false
bool isdrwS = false
var color css = na
var color icss = na
var int itrend = 0
var int trend = 0
bool bull_ob = false
bool bear_ob = false
bool s_bull_ob = false
bool s_bear_ob = false
n = bar_index
var ms up = ms.new(
array.new()
, array.new< int >()
, array.new()
)
var ms dn = ms.new(
array.new()
, array.new< int >()
, array.new()
)
var ms sup = ms.new(
array.new()
, array.new< int >()
, array.new()
)
var ms sdn = ms.new(
array.new()
, array.new< int >()
, array.new()
)
switch show_swing_ms
"All" => boolean.set(s_BOS , true ), boolean.set(s_CHoCH, true ) , boolean.set(s_CHoCHP, true )
"CHoCH" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, true ) , boolean.set(s_CHoCHP, false )
"CHoCH+" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, true )
"BOS" => boolean.set(s_BOS , true ), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, false )
"None" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, false )
=> na
switch show_internal_ms
"All" => boolean.set(i_BOS, true ), boolean.set(i_CHoCH, true ), boolean.set(i_CHoCHP, true )
"CHoCH" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, true ), boolean.set(i_CHoCHP, false)
"CHoCH+" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, true )
"BOS" => boolean.set(i_BOS, true ), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, false)
"None" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, false)
=> na
switch
iH =>
up.p.unshift(b.h )
up.l.unshift(b.h )
up.n.unshift(n )
iL =>
dn.p.unshift(b.l )
dn.l.unshift(b.l )
dn.n.unshift(n )
sL =>
sdn.p.unshift(b.l )
sdn.l.unshift(b.l )
sdn.n.unshift(n )
sH =>
sup.p.unshift(b.h )
sup.l.unshift(b.h )
sup.n.unshift(n )
// INTERNAL BULLISH STRUCTURE
if up.p.size() > 0 and dn.l.size() > 1
if ta.crossover(b.c, up.p.first())
bool CHoCH = na
string txt = na
if itrend < 0
CHoCH := true
switch
not CHoCH =>
txt := "BOS"
css := i_ms_up_BOS
blalert.bos := true
if boolean.get(i_BOS) and mtf == false and na(drw)
isdrw := true
drw := msDraw.new(
up.n.first()
, up.p.first()
, i_ms_up_BOS
, txt
, true
)
CHoCH =>
dn.l.first() > dn.l.get(1) ? blalert.chochplus : blalert.choch
txt := dn.l.first() > dn.l.get(1) ? "CHoCH+" : "CHoCH"
css := i_ms_up_BOS.darkcss(0.25, true)
if (dn.l.first() > dn.l.get(1) ? boolean.get(i_CHoCHP) : boolean.get(i_CHoCH)) and mtf == false and na(drw)
isdrw := true
drw := msDraw.new(
up.n.first()
, up.p.first()
, i_ms_up_BOS.darkcss(0.25, true)
, txt
, true
)
if mtf == false
switch
ob_filter == "None" => bull_ob := true
ob_filter == "BOS" and txt == "BOS" => bull_ob := true
ob_filter == "CHoCH" and txt == "CHoCH" => bull_ob := true
ob_filter == "CHoCH+" and txt == "CHoCH+" => bull_ob := true
itrend := 1
up.n.clear()
up.p.clear()
// INTERNAL BEARISH STRUCTURE
if dn.p.size() > 0 and up.l.size() > 1
if ta.crossunder(b.c, dn.p.first())
bool CHoCH = na
string txt = na
if itrend > 0
CHoCH := true
switch
not CHoCH =>
bralert.bos := true
txt := "BOS"
css := i_ms_dn_BOS
if boolean.get(i_BOS) and mtf == false and na(drw)
isdrw := true
drw := msDraw.new(
dn.n.first()
, dn.p.first()
, i_ms_dn_BOS
, txt
, false
)
CHoCH =>
if up.l.first() < up.l.get(1)
bralert.chochplus := true
else
bralert.choch := true
txt := up.l.first() < up.l.get(1) ? "CHoCH+" : "CHoCH"
css := i_ms_dn_BOS.darkcss(0.25, false)
if (up.l.first() < up.l.get(1) ? boolean.get(i_CHoCHP) : boolean.get(i_CHoCH)) and mtf == false and na(drw)
isdrw := true
drw := msDraw.new(
dn.n.first()
, dn.p.first()
, i_ms_dn_BOS.darkcss(0.25, false)
, txt
, false
)
if mtf == false
switch
ob_filter == "None" => bear_ob := true
ob_filter == "BOS" and txt == "BOS" => bear_ob := true
ob_filter == "CHoCH" and txt == "CHoCH" => bear_ob := true
ob_filter == "CHoCH+" and txt == "CHoCH+" => bear_ob := true
itrend := -1
dn.n.clear()
dn.p.clear()
// SWING BULLISH STRUCTURE
if sup.p.size() > 0 and sdn.l.size() > 1
if ta.crossover(b.c, sup.p.first())
bool CHoCH = na
string txt = na
if trend < 0
CHoCH := true
switch
not CHoCH =>
blalert.swingbos := true
txt := "BOS"
icss := s_ms_up_BOS
if boolean.get(s_BOS) and mtf == false and na(drw)
isdrwS := true
drw := msDraw.new(
sup.n.first()
, sup.p.first()
, s_ms_up_BOS
, txt
, true
)
CHoCH =>
if sdn.l.first() > sdn.l.get(1)
blalert.chochplusswing := true
else
blalert.chochswing := true
txt := sdn.l.first() > sdn.l.get(1) ? "CHoCH+" : "CHoCH"
icss := s_ms_up_BOS.darkcss(0.25, true)
if (sdn.l.first() > sdn.l.get(1) ? boolean.get(s_CHoCHP) : boolean.get(s_CHoCH)) and mtf == false and na(drw)
isdrwS := true
drw := msDraw.new(
sup.n.first()
, sup.p.first()
, s_ms_up_BOS.darkcss(0.25, true)
, txt
, true
)
if mtf == false
switch
ob_filter == "None" => s_bull_ob := true
ob_filter == "BOS" and txt == "BOS" => s_bull_ob := true
ob_filter == "CHoCH" and txt == "CHoCH" => s_bull_ob := true
ob_filter == "CHoCH+" and txt == "CHoCH+" => s_bull_ob := true
trend := 1
sup.n.clear()
sup.p.clear()
// SWING BEARISH STRUCTURE
if sdn.p.size() > 0 and sup.l.size() > 1
if ta.crossunder(b.c, sdn.p.first())
bool CHoCH = na
string txt = na
if trend > 0
CHoCH := true
switch
not CHoCH =>
bralert.swingbos := true
txt := "BOS"
icss := s_ms_dn_BOS
if boolean.get(s_BOS) and mtf == false and na(drw)
isdrwS := true
drw := msDraw.new(
sdn.n.first()
, sdn.p.first()
, s_ms_dn_BOS
, txt
, false
)
CHoCH =>
if sup.l.first() < sup.l.get(1)
bralert.chochplusswing := true
else
bralert.chochswing := true
txt := sup.l.first() < sup.l.get(1) ? "CHoCH+" : "CHoCH"
icss := s_ms_dn_BOS.darkcss(0.25, false)
if (sup.l.first() < sup.l.get(1) ? boolean.get(s_CHoCHP) : boolean.get(s_CHoCH)) and mtf == false and na(drw)
isdrwS := true
drw := msDraw.new(
sdn.n.first()
, sdn.p.first()
, s_ms_dn_BOS.darkcss(0.25, false)
, txt
, false
)
if mtf == false
switch
ob_filter == "None" => s_bear_ob := true
ob_filter == "BOS" and txt == "BOS" => s_bear_ob := true
ob_filter == "CHoCH" and txt == "CHoCH" => s_bear_ob := true
ob_filter == "CHoCH+" and txt == "CHoCH+" => s_bear_ob := true
trend := -1
sdn.n.clear()
sdn.p.clear()
= structure(false)
if isdrw
f_line(drw, size.small, line.style_dashed)
if isdrwS
f_line(drw, size.small, line.style_solid)
= request.security("", "15" , structure(true))
= request.security("", "60" , structure(true))
= request.security("", "240" , structure(true))
= request.security("", "1440" , structure(true))
if show_mtf_str
var tab = table.new(position = position.top_right, columns = 10, rows = 10, bgcolor = na, frame_color = color.rgb(54, 58, 69, 0), frame_width = 1, border_color = color.rgb(54, 58, 69, 100), border_width = 1)
table.cell(tab, 0, 1, text = "15" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2)
table.cell(tab, 0, 2, text = "1H" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2)
table.cell(tab, 0, 3, text = "4H" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2)
table.cell(tab, 0, 4, text = "1D" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2)
table.cell(tab, 1, 1, text = itrend15 == 1 ? "BULLISH" : itrend15 == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend15 == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend15 == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 1, 2, text = itrend1H == 1 ? "BULLISH" : itrend1H == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend1H == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend1H == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 1, 3, text = itrend4H == 1 ? "BULLISH" : itrend4H == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend4H == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend4H == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 1, 4, text = itrend1D == 1 ? "BULLISH" : itrend1D == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend1D == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend1D == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 0, 5, text = "Detected Pattern", text_halign = text.align_center, text_size = size.normal, text_color = color.silver, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 0, 6, text = p.found, text_halign = text.align_center, text_size = size.normal, text_color = na(p.bull) ? color.white : p.bull ? i_ms_up_BOS.darkcss(-0.25, true) : p.bull == false ? i_ms_dn_BOS.darkcss(0.25, false) : na, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.merge_cells(tab, 0, 5, 1, 5)
table.merge_cells(tab, 0, 6, 1, 6)
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - Strong/Weak High/Low And Equilibrium }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
var phl = Zphl.new(
na
, na
, label.new(na , na , color = invcol , textcolor = i_ms_dn_BOS , style = label.style_label_down , size = size.tiny , text = "")
, label.new(na , na , color = invcol , textcolor = i_ms_up_BOS , style = label.style_label_up , size = size.tiny , text = "")
, true
, true
, true
, true
, ""
, ""
, 0
, 0
, 0
, 0
, high
, low
, 0
, 0
, 0
, 0
, 0
, 0
, na
, na
)
zhl(len)=>
upper = ta.highest(len)
lower = ta.lowest(len)
var float out = 0
out := b.h > upper ? 0 : b.l < lower ? 1 : out
top = out == 0 and out != 0 ? b.h : 0
btm = out == 1 and out != 1 ? b.l : 0
= zhl(sLen)
= zhl(iLen)
upphl(trend) =>
var label lbl = label.new(
na
, na
, color = invcol
, textcolor = toplvl
, style = label.style_label_down
, size = size.small
)
if top
phl.stopcross := true
phl.txtup := top > phl.topy ? "HH" : "HL"
if show_lbl
topl = label.new(
b.n - swing_r_lookback
, top
, phl.txtup
, color = invcol
, textcolor = toplvl
, style = label.style_label_down
, size = size.small
)
line.delete(phl.top )
phl.top := line.new(
b.n - sLen
, top
, b.n
, top
, color = toplvl)
phl.topy := top
phl.topx := b.n - sLen
phl.tup := top
phl.tupx := b.n - sLen
if itop
phl.itopcross := true
phl.itopy := itop
phl.itopx := b.n - iLen
phl.tup := math.max(high, phl.tup)
phl.tupx := phl.tup == high ? b.n : phl.tupx
phl.uV := phl.tup != phl.tup ? b.v : phl.uV
if barstate.islast
line.set_xy1(
phl.top
, phl.tupx
, phl.tup
)
line.set_xy2(
phl.top
, b.n + 50
, phl.tup
)
label.set_x(
lbl
, b.n + 50
)
label.set_y(
lbl
, phl.tup
)
dist = math.abs(phl.uV / (phl.uV + phl.dV)) * 100
label.set_text (lbl, trend < 0
? "Strong High | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)"
: "Weak High | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)")
dnphl(trend) =>
var label lbl = label.new(
na
, na
, color = invcol
, textcolor = btmlvl
, style = label.style_label_up
, size = size.small
)
if btm
phl.sbottomcross := true
phl.txtdn := btm > phl.bottomy ? "LH" : "LL"
if show_lbl
btml = label.new(
b.n - swing_r_lookback
, btm, phl.txtdn
, color = invcol
, textcolor = btmlvl
, style = label.style_label_up
, size = size.small
)
line.delete(phl.bottom )
phl.bottom := line.new(
b.n - sLen
, btm
, b.n
, btm
, color = btmlvl
)
phl.bottomy := btm
phl.bottomx := b.n - sLen
phl.tdn := btm
phl.tdnx := b.n - sLen
if ibtm
phl.ibottomcross := true
phl.ibottomy := ibtm
phl.ibottomx := b.n - iLen
phl.tdn := math.min(low, phl.tdn)
phl.tdnx := phl.tdn == low ? b.n : phl.tdnx
phl.dV := phl.tdn != phl.tdn ? b.v : phl.dV
if barstate.islast
line.set_xy1(
phl.bottom
, phl.tdnx
, phl.tdn
)
line.set_xy2(
phl.bottom
, b.n + 50
, phl.tdn
)
label.set_x(
lbl
, b.n + 50
)
label.set_y(
lbl
, phl.tdn
)
dist = math.abs(phl.dV / (phl.uV + phl.dV)) * 100
label.set_text (lbl, trend > 0
? "Strong Low | " + str.tostring(phl.dV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)"
: "Weak Low | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)")
midphl() =>
avg = math.avg(phl.bottom.get_y2(), phl.top.get_y2())
var line l = line.new(
y1 = avg
, y2 = avg
, x1 = b.n - sLen
, x2 = b.n + 50
, color = midlvl
, style = line.style_solid
)
var label lbl = label.new(
x = b.n + 50
, y = avg
, text = "Equilibrium"
, style = label.style_label_left
, color = invcol
, textcolor = midlvl
, size = size.small
)
if barstate.islast
more = (phl.bottom.get_x1() + phl.bottom.get_x2()) > (phl.top.get_x1() + phl.top.get_x2()) ? phl.top.get_x1() : phl.bottom.get_x1()
line.set_xy1(l , more , avg)
line.set_xy2(l , b.n + 50, avg)
label.set_x (lbl , b.n + 50 )
label.set_y (lbl , avg )
dist = math.abs((l.get_y2() - close) / close) * 100
label.set_text (lbl, "Equilibrium (" + str.tostring(math.round(dist,0)) + "%)")
hqlzone() =>
if barstate.islast
var hqlzone dZone = hqlzone.new(
box.new(
na
, na
, na
, na
, bgcolor = color.new(toplvl, 70)
, border_color = na
)
, box.new(
na
, na
, na
, na
, bgcolor = color.new(midlvl, 70)
, border_color = na
)
, box.new(
na
, na
, na
, na
, bgcolor = color.new(btmlvl, 70)
, border_color = na
)
, label.new(na, na, text = "Premium" , color = invcol, textcolor = toplvl, style = label.style_label_down, size = size.small)
, label.new(na, na, text = "Equilibrium", color = invcol, textcolor = midlvl, style = label.style_label_left, size = size.small)
, label.new(na, na, text = "Discount" , color = invcol, textcolor = btmlvl, style = label.style_label_up , size = size.small)
)
dZone.pbx.set_lefttop(int(math.max(phl.topx, phl.bottomx)) , phl.tup)
dZone.pbx.set_rightbottom(b.n + 50 , 0.95 * phl.tup + 0.05 * phl.tdn)
dZone.ebx.set_lefttop(int(math.max(phl.topx, phl.bottomx)), 0.525 * phl.tup + 0.475 * phl.tdn)
dZone.ebx.set_rightbottom(b.n + 50 , 0.525 * phl.tdn + 0.475 * phl.tup)
dZone.lbx.set_lefttop(int(math.max(phl.topx, phl.bottomx)), 0.95 * phl.tdn + 0.05 * phl.tup)
dZone.lbx.set_rightbottom(b.n + 50 , phl.tdn)
dZone.plb.set_xy( int(math.avg(math.max(phl.topx, phl.bottomx), int(b.n + 50))) , phl.tup)
dZone.elb.set_xy( int(b.n + 50) , math.avg(phl.tup, phl.tdn))
dZone.lbl.set_xy( int(math.avg(math.max(phl.topx, phl.bottomx), int(b.n + 50))) , phl.tdn)
if show_mtb
upphl (trend)
dnphl (trend)
hqlzone()
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - Volumetric Order Block }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
method eB(box b, bool ext, color css, bool swing) =>
b.unshift(
box.new(
na
, na
, na
, na
, xloc = xloc.bar_time
, text_font_family = font.family_monospace
, extend = ext ? extend.right : extend.none
, border_color = swing ? color.new(css, 0) : color.new(color.white,100)
, bgcolor = css
, border_width = 1
)
)
method eL(line l, bool ext, bool solid, color css) =>
l.unshift(
line.new(
na
, na
, na
, na
, width = 1
, color = css
, xloc = xloc.bar_time
, extend = ext ? extend.right : extend.none
, style = solid ? line.style_solid : line.style_dashed
)
)
method drawVOB(bool cdn, bool bull, color css, int loc, bool swing) =>
= request.security(
syminfo.tickerid
, ""
,
, lookahead = barmerge.lookahead_off
)
var obC obj = obC.new(
array.new()
, array.new()
, array.new< int >()
, array.new()
, array.new()
, array.new()
, array.new< int >()
, array.new< int >()
, array.new< int >()
, array.new< int >()
, array.new()
, array.new()
, array.new< int >()
)
var obD draw = obD.new(
array.new()
, array.new()
, array.new()
, array.new()
, array.new()
)
if barstate.isfirst
for i = 0 to ob_num - 1
draw.mL .eL(false, false, use_grayscale ? color.new(color.gray, 0) : color.new(css,0))
draw.ob .eB(false, use_grayscale ? color.new(color.gray, 90) : css, swing)
draw.blB.eB(false, css_metric_up , swing)
draw.brB.eB(false, css_metric_dn , swing)
draw.eOB.eB(true , use_grayscale ? color.new(color.gray, 90) : css, swing)
float pos = ob_pos == "Full"
? (bull ? high : low)
: ob_pos == "Middle"
? ohlc4
: ob_pos == "Accurate"
? hl2
: hl2
if cdn
obj.h.clear()
obj.l.clear()
obj.n.clear()
for i = 0 to math.abs((loc - b.n)) - 1
obj.h.push(hH )
obj.l.push(lL )
obj.n.push(b.t )
// obj.h.reverse()
// obj.l.reverse()
int iU = obj.l.indexof(obj.l.min()) + 1
int iD = obj.h.indexof(obj.h.max()) + 1
obj.dir.unshift(
bull
? (b.c > b.o ? 1 : -1)
: (b.c > b.o ? 1 : -1)
)
obj.top.unshift(
bull
? pos
: obj.h.max()
)
obj.btm.unshift(
bull
? obj.l.min()
: pos
)
obj.left.unshift(
bull
? obj.n.get(obj.l.indexof(obj.l.min()))
: obj.n.get(obj.h.indexof(obj.h.max()))
)
obj.avg.unshift(
math.avg(obj.top.first(), obj.btm.first())
)
obj.cV.unshift(
bull
? b.v
: b.v
)
if ob_pos == "Precise"
switch bull
true =>
if obj.avg.get(0) < (b.c < b.o ? b.c : b.o ) and obj.top.get(0) > hlcc4
obj.top.set(0, obj.avg.get(0))
obj.avg.set(0, math.avg(obj.top.first(), obj.btm.first()))
false =>
if obj.avg.get(0) > (b.c < b.o ? b.o : b.c ) and obj.btm.get(0) < hlcc4
obj.btm.set(0, obj.avg.get(0))
obj.avg.set(0, math.avg(obj.top.first(), obj.btm.first()))
obj.blVP.unshift ( 0 )
obj.brVP.unshift ( 0 )
obj.wM .unshift ( 1 )
if use_overlap
int rmP = use_overlap_method == "Recent" ? 1 : 0
if obj.avg.size() > 1
if bull
? obj.btm.first() < obj.top.get(1)
: obj.top.first() > obj.btm.get(1)
obj.wM .remove(rmP)
obj.cV .remove(rmP)
obj.dir .remove(rmP)
obj.top .remove(rmP)
obj.avg .remove(rmP)
obj.btm .remove(rmP)
obj.left .remove(rmP)
obj.blVP .remove(rmP)
obj.brVP .remove(rmP)
if barstate.isconfirmed
for x = 0 to ob_num - 1
tg = switch ob_mitigation
"Middle" => obj.avg
"Absolute" => bull ? obj.btm : obj.top
for in tg
if (bull ? cC < pt : cC > pt)
obj.wM .remove(idx)
obj.cV .remove(idx)
obj.dir .remove(idx)
obj.top .remove(idx)
obj.avg .remove(idx)
obj.btm .remove(idx)
obj.left .remove(idx)
obj.blVP .remove(idx)
obj.brVP .remove(idx)
if barstate.islast
if obj.avg.size() > 0
// Alert
if bull
? ta.crossunder(low , obj.top.get(0))
: ta.crossover (high, obj.btm.get(0))
switch bull
true => blalert.obtouch := true
false => bralert.obtouch := true
float tV = 0
obj.dV.clear()
seq = math.min(ob_num - 1, obj.avg.size() - 1)
for j = 0 to seq
tV += obj.cV.get(j)
if j == seq
for y = 0 to seq
obj.dV.unshift(
math.floor(
(obj.cV.get(y) / tV) * 100)
)
obj.dV.reverse()
for i = 0 to math.min(ob_num - 1, obj.avg.size() - 1)
dmL = draw.mL .get(i)
dOB = draw.ob .get(i)
dblB = draw.blB.get(i)
dbrB = draw.brB.get(i)
deOB = draw.eOB.get(i)
dOB.set_lefttop (obj.left .get(i) , obj.top.get(i))
deOB.set_lefttop (b.t , obj.top.get(i))
dOB.set_rightbottom (b.t , obj.btm.get(i))
deOB.set_rightbottom(b.t + (b.t - b.t ) * 100 , obj.btm.get(i))
if use_middle_line
dmL.set_xy1(obj.left.get(i), obj.avg.get(i))
dmL.set_xy2(b.t , obj.avg.get(i))
if ob_metrics_show
dblB.set_lefttop (obj.left.get(i), obj.top.get(i))
dbrB.set_lefttop (obj.left.get(i), obj.avg.get(i))
dblB.set_rightbottom(obj.left.get(i), obj.avg.get(i))
dbrB.set_rightbottom(obj.left.get(i), obj.btm.get(i))
rpBL = dblB.get_right()
rpBR = dbrB.get_right()
dbrB.set_right(rpBR + (b.t - b.t ) * obj.brVP.get(i))
dblB.set_right(rpBL + (b.t - b.t ) * obj.blVP.get(i))
if use_show_metric
txt = switch
obj.cV.get(i) >= 1000000000 => str.tostring(math.round(obj.cV.get(i) / 1000000000,3)) + "B"
obj.cV.get(i) >= 1000000 => str.tostring(math.round(obj.cV.get(i) / 1000000,3)) + "M"
obj.cV.get(i) >= 1000 => str.tostring(math.round(obj.cV.get(i) / 1000,3)) + "K"
obj.cV.get(i) < 1000 => str.tostring(math.round(obj.cV.get(i)))
deOB.set_text(
str.tostring(
txt + " (" + str.tostring(obj.dV.get(i)) + "%)")
)
deOB.set_text_size (size.auto)
deOB.set_text_halign(text.align_left)
deOB.set_text_color (use_grayscale ? color.silver : color.new(css, 0))
if ob_metrics_show and barstate.isconfirmed
if obj.wM.size() > 0
for i = 0 to obj.avg.size() - 1
switch obj.dir.get(i)
1 =>
switch obj.wM.get(i)
1 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 2)
2 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 3)
3 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 1)
-1 =>
switch obj.wM.get(i)
1 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 2)
2 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 3)
3 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 1)
var hN = array.new(1, b.n)
var lN = array.new(1, b.n)
var hS = array.new(1, b.n)
var lS = array.new(1, b.n)
if iH
hN.pop()
hN.unshift(int(b.n ))
if iL
lN.pop()
lN.unshift(int(b.n ))
if sH
hS.pop()
hS.unshift(int(b.n ))
if sL
lS.pop()
lS.unshift(int(b.n ))
if ob_show
bull_ob.drawVOB(true , ob_bull_css, hN.first(), false)
bear_ob.drawVOB(false, ob_bear_css, lN.first(), false)
if ob_swings
s_bull_ob.drawVOB(true , css_swing_up, hS.first(), true)
s_bear_ob.drawVOB(false, css_swing_dn, lS.first(), true)
if bull_ob
blalert.ob := true
if bear_ob
bralert.ob := true
if s_bull_ob
blalert.swingob := true
if s_bear_ob
blalert.swingob := true
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - FVG | VI | OG }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
ghl() => request.security(syminfo.tickerid, fvg_tf, [high , low , close , open ])
tfG() => request.security(syminfo.tickerid, fvg_tf, )
cG(bool bull) =>
= ghl()
= tfG()
var FVG draw = FVG.new(
array.new()
, array.new()
)
var FVG cords = array.new()
float pup = na
float pdn = na
bool cdn = na
int pos = 2
cc = timeframe.change(fvg_tf)
if barstate.isfirst
for i = 0 to fvg_num - 1
draw.box.unshift(box.new (na, na, na, na, border_color = color.new(color.white, 100), xloc = xloc.bar_time))
draw.ln.unshift (line.new(na, na, na, na, xloc = xloc.bar_time, width = 1, style = line.style_solid))
switch what_fvg
"FVG" =>
pup := bull ? gl : l
pdn := bull ? h : gh
cdn := bull ? gl > h and cc : gh < l and cc
pos := 2
"VI" =>
pup := bull
? (gc > go
? go
: gc)
: (gc > go
? go
: gc )
pdn := bull
? (gc > go
? gc
: go )
: (gc > go
? gc
: go)
cdn := bull
? go > gc and gh >
Sima-Smart Money Concepts + RSI CandlestickThis indicator displays the RSI in a candlestick format and marks its support and resistance levels, as well as oversold and overbought zones based on Smart Money concepts.
In fact, this indicator is a combination of a candlestick-style RSI and a Smart Money indicator.
LiqVision Institutional Suite v6.2 – Hybrid ModeLiqVision Institutional Suite v6.2 — Hybrid Mode (Lightning Edition)
Een ultra-geoptimaliseerde Smart Money-indicator gebaseerd op institutionele principes: Liquidity, Market Structure, Order Blocks, FVG’s en Model 1/2 setups.
Dit script combineert meerdere professionele SMC-concepten in één engine:
🔷 Functionaliteiten
1. Liquidity Engine
Automatische detectie van EQH, EQL en Liquidity Sweeps
Dynamische lijnprojectie met smart cleanup
Slimme sweep-detectie voor high-probability entries
2. Market Structure Engine
BOS & CHOCH detectie
Trend continuatie- en reversalsignalen
Swing-based pivot logic
3. Order Block Engine
Automatische OB-detectie met displacement filtering
Bullish & Bearish macro Order Blocks
HTF glow overlay (nieuw in v6.2)
4. FVG Engine
Major Fair Value Gap detection
Up/Down imbalance visual engine
HTF-based color restoration (v6.2 fix)
5. Model 1 & Model 2 Signal Engine
Trend continuation entries (Model 1)
Reversal setups gebaseerd op HTF liquidity & displacement (Model 2)
Auto-tapping logic geïntegreerd met OB/FVG
6. Hybrid Mode Rendering
Slimme shading afhankelijk van timeframe:
LTF → Hide OB/FVG
MTF → White overlays
HTF → Premium glow visuals
🔷 Alerts
Volledige alert-ondersteuning voor:
Model 1 Buy/Sell
Model 2 Buy/Sell
Liquidity Sweep
BOS Up/Down
CHOCH Up/Down
OB Tap
FVG Tap
Any alert() function call
Geschikt voor Telegram, Discord, bots en externe signal pipelines.
🔷 Gebruik
Voeg de indicator toe
Kies timeframe (1m–4h aanbevolen)
Activeer alerts via “Any alert() function call”
Volg Model 1/2 entries voor optimaal resultaat
⚡ DISCLAIMER
Dit script is uitsluitend bedoeld voor educatieve doeleinden. Geen financieel advies. Resultaten uit het verleden geven geen garantie voor de toekomst.
Sima-Smart Money Concepts + RSI Candlestick [LuxAlgo]This indicator displays the RSI in a candlestick format and marks its support and resistance levels, as well as oversold and overbought zones based on Smart Money concepts.
In fact, this indicator is a combination of a candlestick-style RSI and a Smart Money indicator.
BTC1W&2W StochRSI Cross up Cross downUpward Signals (Bottom of the Indicator):
Symbol Color Size Meaning
▲ (triangle up) Yellow tiny (1W) / small (2W) Momentum Up: K slope up & K < 40 (early bullish)
▲ (triangle up) Orange tiny (1W) / small (2W) Near Up: K within near distance & slope up (amber)
▲ (triangle up) Green tiny (1W) / small (2W) Cross Up: Confirmed bullish crossover
♦ (diamond) Blue large BOTH 1W & 2W bullish cross alignment (strong buy)
Downward Signals (Top of the Indicator):
Symbol Color Size Meaning
▼ (triangle down) Yellow tiny (1W) / small (2W) Momentum Down: K slope down & K > 60 (early bearish)
▼ (triangle down) Orange tiny (1W) / small (2W) Near Down: K within near distance & slope down (amber)
▼ (triangle down) Red tiny (1W) / small (2W) Cross Down: Confirmed bearish crossover
♦ (diamond) Red large BOTH 1W & 2W bearish cross alignment (strong sell)
Background Colors:
Green background — bullish states detected (either 1W or 2W bullish conditions)
Red background — bearish states detected (either 1W or 2W bearish conditions)
When you get:
Small green triangle (2W bullish cross)
Blue diamond (both 1W & 2W aligned)
USD Liquidity / FX Swap + Money Market StressThis indicator shows, in a simple way, how tight or loose USD liquidity is. It combines two things: signs of stress in the FX market (Fed swap lines + dollar strength) and signs from the money market (the difference between repo rates like SOFR/TGCR and the Fed’s IORB rate). All of this is merged into a single blue line: when it rises, liquidity tends to be more abundant; when it falls, there is more stress and the dollar becomes “expensive” to obtain.
You read it like a traffic light:
If the background is red, the indicator is below the lower threshold → liquidity stress, an environment that is more prone to sell-offs and violent moves in risk assets (including crypto).
If the background is green, the indicator is above the upper threshold → more relaxed liquidity, a backdrop that is more favorable for risk rallies to be sustained.
No background color → neutral zone, neither very good nor very bad: you trade according to your usual system.
It is designed as a macro context filter, not as a buy/sell signal. In red, it makes sense to be more defensive with risk and leverage; in green, if your technical system gives a long signal, you have a somewhat more favorable tailwind. It should always be used together with other tools and strict risk management.
Lines Blue OrangeTry this without candles. Can be used with other indicators to help determine the direction.
TTP IFVG Signals With EMA /ICT Gold scalpingThis script uses original logic and alerting rules. in Japan
finding ICT IFVG and EMA conditions.
#IFVG, Forex, ICT, EMA, Scalping, Indicator
This indicator automatically finds IFVG (Imbalance / Fair Value Gap) zones and gives you a buy or sell signal when price comes back and breaks out through that gap.
It also draws a colored box over the gap so you can see the zone visually, and it raises alerts when a new signal appears.
High-level logic:
On every bar, the script looks back up to “IFVG_GapBars” bars.
For each offset i it checks a 3-candle pattern:
– If the low of the newer candle is above the high of the older candle: bullish FVG (price jumped up, leaving a gap).
– If the high of the newer candle is below the low of the older candle: bearish FVG (price jumped down, leaving a gap).
When a valid FVG is found:
– For a bullish FVG it looks for a later close that breaks down through that gap (sell signal).
– For a bearish FVG it looks for a later close that breaks up through that gap (buy signal).
– A moving-average trend filter must agree (downtrend for sells, uptrend for buys).
– It checks that price has not already “filled” the gap before the breakout.
If all conditions are satisfied, it:
– Sets signal_dir = 1 for a buy, or -1 for a sell.
– Draws a box from the original FVG bar to the bar just before the breakout (extended a bit to the right), between the gap high and gap low.
– Plots an ▲ label for buys or ▼ label for sells.
– Triggers the corresponding alert conditions.
Now the parameters:
PipSizeMultilier (PipSizeManual)
Multiplies the symbol’s minimum tick size (syminfo.mintick).
It is used when converting “MinFVG_Pips” into an actual price distance.
If you feel the indicator is too sensitive (too many small gaps), you can increase this multiplier to effectively require a larger price difference.
TickSize
Internal value = syminfo.mintick * PipSizeMultiplier.
This is the actual price step the script uses as a “pip” when checking minimum gap size.
FVG Search Lookback (IFVG_GapBars)
How many bars back from the current bar the script will scan for a 3-candle FVG pattern.
Larger value = it can find older FVGs, but loop cost is higher.
Min FVG Size (Pips/Points) (MinFVG_Pips)
Minimum allowed size of the gap, measured in “pips/points” using TickSize.
If the vertical distance between the gap high and gap low is smaller than this, the gap is ignored.
0.0 means “no size filter” (every FVG is allowed).
FVG Epsilon (Price Units) (FVG_EpsPoints)
Tolerance for the FVG detection.
It is subtracted/added in the condition that checks “low > old high” or “high < old low”.
0.0 means strict gap (no overlap at all). A small positive epsilon allows tiny overlaps to still count as a gap.
Show IFVG Zones (ShowZones)
If true, the script draws a box over the IFVG zone when a signal is confirmed.
If false, no boxes are drawn; you only see the ▲ / ▼ markers and alerts.
Buy Zone Color (ZoneColorBuy)
Fill color and border color for boxes created from bearish FVGs that later produce a buy signal.
Sell Zone Color (ZoneColorSell)
Fill color and border color for boxes created from bullish FVGs that later produce a sell signal.
Box Extension (Bars) (BoxExtension)
How many extra bars to extend the right side of the box beyond the breakout bar.
The internal right coordinate is “bar_index - 1 + BoxExtension”.
Increase this if you want the zone to visually extend further into the future.
MA Period (MA_Period)
Lookback length of the moving average used as a trend filter.
MA Type (MA_Kind)
Type of moving average: “SMA” or “EMA”.
If SMA is chosen, the script uses ta.sma; if EMA, it uses ta.ema.
Moving-average filter behavior:
For sell signals (from bullish FVG): MA must be sloping down (MA < MA ) and price must be below MA.
For buy signals (from bearish FVG): MA must be sloping up (MA > MA ) and price must be above MA.
If these conditions are not satisfied, the FVG is ignored even if the gap and breakout conditions are met.
Signals and alerts:
signal_dir = 1 → buy signal, ▲ label below the bar, “IFVG Buy Alert” / “IFVG Buy/Sell Alert” can fire.
signal_dir = -1 → sell signal, ▼ label above the bar, “IFVG Sell Alert” / “IFVG Buy/Sell Alert” can fire.
signal_dir = 0 → no new signal on this bar.
In short:
This indicator finds 3-candle IFVG gaps, filters them by size and trend, waits for a clean breakout through the gap, draws a box on the original gap zone, and gives you a clear buy or sell signal plus alerts.
BTC Fear & Greed Incremental StrategyIMPORTANT: READ SETUP GUIDE BELOW OR IT WON'T WORK
# BTC Fear & Greed Incremental Strategy — TradeMaster AI (Pure BTC Stack)
## Strategy Overview
This advanced Bitcoin accumulation strategy is designed for long-term hodlers who want to systematically take profits during greed cycles and accumulate during fear periods, while preserving their core BTC position. Unlike traditional strategies that start with cash, this approach begins with a specified BTC allocation, making it perfect for existing Bitcoin holders who want to optimize their stack management.
## Key Features
### 🎯 **Pure BTC Stack Mode**
- Start with any amount of BTC (configurable)
- Strategy manages your existing stack, not new purchases
- Perfect for hodlers who want to optimize without timing markets
### 📊 **Fear & Greed Integration**
- Uses market sentiment data to drive buy/sell decisions
- Configurable thresholds for greed (selling) and fear (buying) triggers
- Automatic validation to ensure proper 0-100 scale data source
### 🐂 **Bull Year Optimization**
- Smart quarterly selling during bull market years (2017, 2021, 2025)
- Q1: 1% sells, Q2: 2% sells, Q3/Q4: 5% sells (configurable)
- **NO SELLING** during non-bull years - pure accumulation mode
- Preserves BTC during early bull phases, maximizes profits at peaks
### 🐻 **Bear Market Intelligence**
- Multi-regime detection: Bull, Early Bear, Deep Bear, Early Bull
- Different buying strategies based on market conditions
- Enhanced buying during deep bear markets with configurable multipliers
- Visual regime backgrounds for easy market condition identification
### 🛡️ **Risk Management**
- Minimum BTC allocation floor (prevents selling entire stack)
- Configurable position sizing for all trades
- Multiple safety checks and validation
### 📈 **Advanced Visualization**
- Clean 0-100 scale with 2 decimal precision
- Three main indicators: BTC Allocation %, Fear & Greed Index, BTC Holdings
- Real-time portfolio tracking with cash position display
- Enhanced info table showing all key metrics
## How to Use
### **Step 1: Setup**
1. Add the strategy to your BTC/USD chart (daily timeframe recommended)
2. **CRITICAL**: In settings, change the "Fear & Greed Source" from "close" to a proper 0-100 Fear & Greed indicator
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I recommend Crypto Fear & Greed Index by TIA_Technology indicator
When selecting source with this indicator, look for "Crypto Fear and Greed Index:Index"
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3. Set your "Starting BTC Quantity" to match your actual holdings
4. Configure your preferred "Start Date" (when you want the strategy to begin)
### **Step 2: Configure Bull Year Logic**
- Enable "Bull Year Logic" (default: enabled)
- Adjust quarterly sell percentages:
- Q1 (Jan-Mar): 1% (conservative early bull)
- Q2 (Apr-Jun): 2% (moderate mid bull)
- Q3/Q4 (Jul-Dec): 5% (aggressive peak targeting)
- Add future bull years to the list as needed
### **Step 3: Fine-tune Thresholds**
- **Greed Threshold**: 80 (sell when F&G > 80)
- **Fear Threshold**: 20 (buy when F&G < 20 in bull markets)
- **Deep Bear Fear Threshold**: 25 (enhanced buying in bear markets)
- Adjust based on your risk tolerance
### **Step 4: Risk Management**
- Set "Minimum BTC Allocation %" (default 20%) - prevents selling entire stack
- Configure sell/buy percentages based on your position size
- Enable bear market filters for enhanced timing
### **Step 5: Monitor Performance**
- **Orange Line**: Your BTC allocation percentage (target: fluctuate between 20-100%)
- **Blue Line**: Actual BTC holdings (should preserve core position)
- **Pink Line**: Fear & Greed Index (drives all decisions)
- **Table**: Real-time portfolio metrics including cash position
## Reading the Indicators
### **BTC Allocation Percentage (Orange Line)**
- **100%**: All portfolio in BTC, no cash available for buying
- **80%**: 80% BTC, 20% cash ready for fear buying
- **20%**: Minimum allocation, maximum cash position
### **Trading Signals**
- **Green Buy Signals**: Appear during fear periods with available cash
- **Red Sell Signals**: Appear during greed periods in bull years only
- **No Signals**: Either allocation limits reached or non-bull year
## Strategy Logic
### **Bull Years (2017, 2021, 2025)**
- Q1: Conservative 1% sells (preserve stack for later)
- Q2: Moderate 2% sells (gradual profit taking)
- Q3/Q4: Aggressive 5% sells (peak targeting)
- Fear buying active (accumulate on dips)
### **Non-Bull Years**
- **Zero selling** - pure accumulation mode
- Enhanced fear buying during bear markets
- Focus on rebuilding stack for next bull cycle
## Important Notes
- **This is not financial advice** - backtest thoroughly before use
- Designed for **long-term holders** (4+ year cycles)
- **Requires proper Fear & Greed data source** - validate in settings
- Best used on **daily timeframe** for major trend following
- **Cash calculations**: Use allocation % and BTC holdings to calculate available cash: `Cash = (Total Portfolio × (1 - Allocation%/100))`
## Risk Disclaimer
This strategy involves active trading and position management. Past performance does not guarantee future results. Always do your own research and never invest more than you can afford to lose. The strategy is designed for educational purposes and long-term Bitcoin accumulation thesis.
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*Developed by Sol_Crypto for the Bitcoin community. Happy stacking! 🚀*
Previous 5 Days OHLC + Dates + PricesTitle: Previous 5 Days OHLC Levels (Extended Lines + Labels)
Description:
This indicator automatically plots the Open, High, Low, and Close (OHLC) levels for the previous 5 trading days. Unlike standard daily separators, this tool extends the lines from their historical origin all the way to the current price bar, allowing traders to instantly see how current price action interacts with recent support and resistance levels.
Key Features:
5-Day Lookback: Automatically fetches and plots OHLC data for the last 5 trading sessions.
Extended Lines: Lines extend to the current bar (Right) to visualize immediate Support/Resistance zones.
Smart Labels: Each line is marked with the Day Name, Date, Type (O/H/L/C), and the Exact Price.
Customizable Positioning: Choose to display labels on the Left (start of the day) or the Right (next to current price) to keep your chart clean.
Toggle Visibility: Individually turn on/off Opens, Closes, Highs, or Lows to focus on the data that matters to your strategy.
How to Use:
Trend Analysis: Use previous Highs and Lows to identify potential breakout or breakdown levels.
Range Trading: Identify where price previously opened or closed to find intraday pivots.
Clean Charting: Use the settings to hide labels or specific lines (e.g., hide Opens/Closes to see only the Daily Range).
Settings:
Label Position: Switch between "Left" (historical origin) and "Right" (current price).
Visibility: Checkboxes to show/hide Open, High, Low, Close, and Text Labels.
Style: Fully customizable colors for each level type.
Technical Note: This script is optimized for performance (Pine Script v6). It uses array management and executes drawing logic only on the last bar to minimize resource usage while maintaining real-time accuracy.
Ultimate RSI [captainua]Ultimate RSI
Overview
This indicator combines multiple RSI calculations with volume analysis, divergence detection, and trend filtering to provide a comprehensive RSI-based trading system. The script calculates RSI using three different periods (6, 14, 24) and applies various smoothing methods to reduce noise while maintaining responsiveness. The combination of these features creates a multi-layered confirmation system that reduces false signals by requiring alignment across multiple indicators and timeframes.
The script includes optimized configuration presets for instant setup: Scalping, Day Trading, Swing Trading, and Position Trading. Simply select a preset to instantly configure all settings for your trading style, or use Custom mode for full manual control. All settings include automatic input validation to prevent configuration errors and ensure optimal performance.
Configuration Presets
The script includes preset configurations optimized for different trading styles, allowing you to instantly configure the indicator for your preferred trading approach. Simply select a preset from the "Configuration Preset" dropdown menu:
- Scalping: Optimized for fast-paced trading with shorter RSI periods (4, 7, 9) and minimal smoothing. Noise reduction is automatically disabled, and momentum confirmation is disabled to allow faster signal generation. Designed for quick entries and exits in volatile markets.
- Day Trading: Balanced configuration for intraday trading with moderate RSI periods (6, 9, 14) and light smoothing. Momentum confirmation is enabled for better signal quality. Ideal for day trading strategies requiring timely but accurate signals.
- Swing Trading: Configured for medium-term positions with standard RSI periods (14, 14, 21) and moderate smoothing. Provides smoother signals suitable for swing trading timeframes. All noise reduction features remain active.
- Position Trading: Optimized for longer-term trades with extended RSI periods (24, 21, 28) and heavier smoothing. Filters are configured for highest-quality signals. Best for position traders holding trades over multiple days or weeks.
- Custom: Full manual control over all settings. All input parameters are available for complete customization. This is the default mode and maintains full backward compatibility with previous versions.
When a preset is selected, it automatically adjusts RSI periods, smoothing lengths, and filter settings to match the trading style. The preset configurations ensure optimal settings are applied instantly, eliminating the need for manual configuration. All settings can still be manually overridden if needed, providing flexibility while maintaining ease of use.
Input Validation and Error Prevention
The script includes comprehensive input validation to prevent configuration errors:
- Cross-Input Validation: Smoothing lengths are automatically validated to ensure they are always less than their corresponding RSI period length. If you set a smoothing length greater than or equal to the RSI length, the script automatically adjusts it to (RSI Length - 1). This prevents logical errors and ensures valid configurations.
- Input Range Validation: All numeric inputs have minimum and maximum value constraints enforced by TradingView's input system, preventing invalid parameter values.
- Smart Defaults: Preset configurations use validated default values that are tested and optimized for each trading style. When switching between presets, all related settings are automatically updated to maintain consistency.
Core Calculations
Multi-Period RSI:
The script calculates RSI using the standard Wilder's RSI formula: RSI = 100 - (100 / (1 + RS)), where RS = Average Gain / Average Loss over the specified period. Three separate RSI calculations run simultaneously:
- RSI(6): Uses 6-period lookback for high sensitivity to recent price changes, useful for scalping and early signal detection
- RSI(14): Standard 14-period RSI for balanced analysis, the most commonly used RSI period
- RSI(24): Longer 24-period RSI for trend confirmation, provides smoother signals with less noise
Each RSI can be smoothed using EMA, SMA, RMA (Wilder's smoothing), WMA, or Zero-Lag smoothing. Zero-Lag smoothing uses the formula: ZL-RSI = RSI + (RSI - RSI ) to reduce lag while maintaining signal quality. You can apply individual smoothing lengths to each RSI period, or use global smoothing where all three RSIs share the same smoothing length.
Dynamic Overbought/Oversold Thresholds:
Static thresholds (default 70/30) are adjusted based on market volatility using ATR. The formula: Dynamic OB = Base OB + (ATR × Volatility Multiplier × Base Percentage / 100), Dynamic OS = Base OS - (ATR × Volatility Multiplier × Base Percentage / 100). This adapts to volatile markets where traditional 70/30 levels may be too restrictive. During high volatility, the dynamic thresholds widen, and during low volatility, they narrow. The thresholds are clamped between 0-100 to remain within RSI bounds. The ATR is cached for performance optimization, updating on confirmed bars and real-time bars.
Adaptive RSI Calculation:
An adaptive RSI adjusts the standard RSI(14) based on current volatility relative to average volatility. The calculation: Adaptive Factor = (Current ATR / SMA of ATR over 20 periods) × Volatility Multiplier. If SMA of ATR is zero (edge case), the adaptive factor defaults to 0. The adaptive RSI = Base RSI × (1 + Adaptive Factor), clamped to 0-100. This makes the indicator more responsive during high volatility periods when traditional RSI may lag. The adaptive RSI is used for signal generation (buy/sell signals) but is not plotted on the chart.
Overbought/Oversold Fill Zones:
The script provides visual fill zones between the RSI line and the threshold lines when RSI is in overbought or oversold territory. The fill logic uses inclusive conditions: fills are shown when RSI is currently in the zone OR was in the zone on the previous bar. This ensures complete coverage of entry and exit boundaries. A minimum gap of 0.1 RSI points is maintained between the RSI plot and threshold line to ensure reliable polygon rendering in TradingView. The fill uses invisible plots at the threshold levels and the RSI value, with the fill color applied between them. You can select which RSI (6, 14, or 24) to use for the fill zones.
Divergence Detection
Regular Divergence:
Bullish divergence: Price makes a lower low (current low < lowest low from previous lookback period) while RSI makes a higher low (current RSI > lowest RSI from previous lookback period). Bearish divergence: Price makes a higher high (current high > highest high from previous lookback period) while RSI makes a lower high (current RSI < highest RSI from previous lookback period). The script compares current price/RSI values to the lowest/highest values from the previous lookback period using ta.lowest() and ta.highest() functions with index to reference the previous period's extreme.
Pivot-Based Divergence:
An enhanced divergence detection method that uses actual pivot points instead of simple lowest/highest comparisons. This provides more accurate divergence detection by identifying significant pivot lows/highs in both price and RSI. The pivot-based method uses a tolerance-based approach with configurable constants: 1% tolerance for price comparisons (priceTolerancePercent = 0.01) and 1.0 RSI point absolute tolerance for RSI comparisons (pivotTolerance = 1.0). Minimum divergence threshold is 1.0 RSI point (minDivergenceThreshold = 1.0). It looks for two recent pivot points and compares them: for bullish divergence, price makes a lower low (at least 1% lower) while RSI makes a higher low (at least 1.0 point higher). This method reduces false divergences by requiring actual pivot points rather than just any low/high within a period. When enabled, pivot-based divergence replaces the traditional method for more accurate signal generation.
Strong Divergence:
Regular divergence is confirmed by an engulfing candle pattern. Bullish engulfing requires: (1) Previous candle is bearish (close < open ), (2) Current candle is bullish (close > open), (3) Current close > previous open, (4) Current open < previous close. Bearish engulfing is the inverse: previous bullish, current bearish, current close < previous open, current open > previous close. Strong divergence signals are marked with visual indicators (🐂 for bullish, 🐻 for bearish) and have separate alert conditions.
Hidden Divergence:
Continuation patterns that signal trend continuation rather than reversal. Bullish hidden divergence: Price makes a higher low (current low > lowest low from previous period) but RSI makes a lower low (current RSI < lowest RSI from previous period). Bearish hidden divergence: Price makes a lower high (current high < highest high from previous period) but RSI makes a higher high (current RSI > highest RSI from previous period). These patterns indicate the trend is likely to continue in the current direction.
Volume Confirmation System
Volume threshold filtering requires current volume to exceed the volume SMA multiplied by the threshold factor. The formula: Volume Confirmed = Volume > (Volume SMA × Threshold). If the threshold is set to 0.1 or lower, volume confirmation is effectively disabled (always returns true). This allows you to use the indicator without volume filtering if desired.
Volume Climax is detected when volume exceeds: Volume SMA + (Volume StdDev × Multiplier). This indicates potential capitulation moments where extreme volume accompanies price movements. Volume Dry-Up is detected when volume falls below: Volume SMA - (Volume StdDev × Multiplier), indicating low participation periods that may produce unreliable signals. The volume SMA is cached for performance, updating on confirmed and real-time bars.
Multi-RSI Synergy
The script generates signals when multiple RSI periods align in overbought or oversold zones. This creates a confirmation system that reduces false signals. In "ALL" mode, all three RSIs (6, 14, 24) must be simultaneously above the overbought threshold OR all three must be below the oversold threshold. In "2-of-3" mode, any two of the three RSIs must align in the same direction. The script counts how many RSIs are in each zone: twoOfThreeOB = ((rsi6OB ? 1 : 0) + (rsi14OB ? 1 : 0) + (rsi24OB ? 1 : 0)) >= 2.
Synergy signals require: (1) Multi-RSI alignment (ALL or 2-of-3), (2) Volume confirmation, (3) Reset condition satisfied (enough bars since last synergy signal), (4) Additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance). Separate reset conditions track buy and sell signals independently. The reset condition uses ta.barssince() to count bars since the last trigger, returning true if the condition never occurred (allowing first signal) or if enough bars have passed.
Regression Forecasting
The script uses historical RSI values to forecast future RSI direction using four methods. The forecast horizon is configurable (1-50 bars ahead). Historical data is collected into an array, and regression coefficients are calculated based on the selected method.
Linear Regression: Calculates the least-squares fit line (y = mx + b) through the last N RSI values. The calculation: meanX = sumX / horizon, meanY = sumY / horizon, denominator = sumX² - horizon × meanX², m = (sumXY - horizon × meanX × meanY) / denominator, b = meanY - m × meanX. The forecast projects this line forward: forecast = b + m × i for i = 1 to horizon.
Polynomial Regression: Fits a quadratic curve (y = ax² + bx + c) to capture non-linear trends. The system of equations is solved using Cramer's rule with a 3×3 determinant. If the determinant is too small (< 0.0001), the system falls back to linear regression. Coefficients are calculated by solving: n×c + sumX×b + sumX²×a = sumY, sumX×c + sumX²×b + sumX³×a = sumXY, sumX²×c + sumX³×b + sumX⁴×a = sumX²Y. Note: Due to the O(n³) computational complexity of polynomial regression, the forecast horizon is automatically limited to a maximum of 20 bars when using polynomial regression to maintain optimal performance. If you set a horizon greater than 20 bars with polynomial regression, it will be automatically capped at 20 bars.
Exponential Smoothing: Applies exponential smoothing with adaptive alpha = 2/(horizon+1). The smoothing iterates from oldest to newest value: smoothed = alpha × series + (1 - alpha) × smoothed. Trend is calculated by comparing current smoothed value to an earlier smoothed value (at 60% of horizon): trend = (smoothed - earlierSmoothed) / (horizon - earlierIdx). Forecast: forecast = base + trend × i.
Moving Average: Uses the difference between short MA (horizon/2) and long MA (horizon) to estimate trend direction. Trend = (maShort - maLong) / (longLen - shortLen). Forecast: forecast = maShort + trend × i.
Confidence bands are calculated using RMSE (Root Mean Squared Error) of historical forecast accuracy. The error calculation compares historical values with forecast values: RMSE = sqrt(sumSquaredError / count). If insufficient data exists, it falls back to calculating standard deviation of recent RSI values. Confidence bands = forecast ± (RMSE × confidenceLevel). All forecast values and confidence bands are clamped to 0-100 to remain within RSI bounds. The regression functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, division-by-zero protection, and bounds checking for all array access operations to prevent runtime errors.
Strong Top/Bottom Detection
Strong buy signals require three conditions: (1) RSI is at its lowest point within the bottom period: rsiVal <= ta.lowest(rsiVal, bottomPeriod), (2) RSI is below the oversold threshold minus a buffer: rsiVal < (oversoldThreshold - rsiTopBottomBuffer), where rsiTopBottomBuffer = 2.0 RSI points, (3) The absolute difference between current RSI and the lowest RSI exceeds the threshold value: abs(rsiVal - ta.lowest(rsiVal, bottomPeriod)) > threshold. This indicates a bounce from extreme levels with sufficient distance from the absolute low.
Strong sell signals use the inverse logic: RSI at highest point, above overbought threshold + rsiTopBottomBuffer (2.0 RSI points), and difference from highest exceeds threshold. Both signals also require: volume confirmation, reset condition satisfied (separate reset for buy vs sell), and all additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance).
The reset condition uses separate logic for buy and sell: resetCondBuy checks bars since isRSIAtBottom, resetCondSell checks bars since isRSIAtTop. This ensures buy signals reset based on bottom conditions and sell signals reset based on top conditions, preventing incorrect signal blocking.
Filtering System
RSI(50) Filter: Only allows buy signals when RSI(14) > 50 (bullish momentum) and sell signals when RSI(14) < 50 (bearish momentum). This filter ensures you're buying in uptrends and selling in downtrends from a momentum perspective. The filter is optional and can be disabled. Recommended to enable for noise reduction.
Trend Filter: Uses a long-term EMA (default 200) to determine trend direction. Buy signals require price above EMA, sell signals require price below EMA. The EMA slope is calculated as: emaSlope = ema - ema . Optional EMA slope filter additionally requires the EMA to be rising (slope > 0) for buy signals or falling (slope < 0) for sell signals. This provides stronger trend confirmation by requiring both price position and EMA direction.
ADX Filter: Uses the Directional Movement Index (calculated via ta.dmi()) to measure trend strength. Signals only fire when ADX exceeds the threshold (default 20), indicating a strong trend rather than choppy markets. The ADX calculation uses separate length and smoothing parameters. This filter helps avoid signals during sideways/consolidation periods.
Volume Dry-Up Avoidance: Prevents signals during periods of extremely low volume relative to average. If volume dry-up is detected and the filter is enabled, signals are blocked. This helps avoid unreliable signals that occur during low participation periods.
RSI Momentum Confirmation: Requires RSI to be accelerating in the signal direction before confirming signals. For buy signals, RSI must be consistently rising (recovering from oversold) over the lookback period. For sell signals, RSI must be consistently falling (declining from overbought) over the lookback period. The momentum check verifies that all consecutive changes are in the correct direction AND the cumulative change is significant. This filter ensures signals only fire when RSI momentum aligns with the signal direction, reducing false signals from weak momentum.
Multi-Timeframe Confirmation: Requires higher timeframe RSI to align with the signal direction. For buy signals, current RSI must be below the higher timeframe RSI by at least the confirmation threshold. For sell signals, current RSI must be above the higher timeframe RSI by at least the confirmation threshold. This ensures signals align with the larger trend context, reducing counter-trend trades. The higher timeframe RSI is fetched using request.security() from the selected timeframe.
All filters use the pattern: filterResult = not filterEnabled OR conditionMet. This means if a filter is disabled, it always passes (returns true). Filters can be combined, and all must pass for a signal to fire.
RSI Centerline and Period Crossovers
RSI(50) Centerline Crossovers: Detects when the selected RSI source crosses above or below the 50 centerline. Bullish crossover: ta.crossover(rsiSource, 50), bearish crossover: ta.crossunder(rsiSource, 50). You can select which RSI (6, 14, or 24) to use for these crossovers. These signals indicate momentum shifts from bearish to bullish (above 50) or bullish to bearish (below 50).
RSI Period Crossovers: Detects when different RSI periods cross each other. Available pairs: RSI(6) × RSI(14), RSI(14) × RSI(24), or RSI(6) × RSI(24). Bullish crossover: fast RSI crosses above slow RSI (ta.crossover(rsiFast, rsiSlow)), indicating momentum acceleration. Bearish crossover: fast RSI crosses below slow RSI (ta.crossunder(rsiFast, rsiSlow)), indicating momentum deceleration. These crossovers can signal shifts in momentum before price moves.
StochRSI Calculation
Stochastic RSI applies the Stochastic oscillator formula to RSI values instead of price. The calculation: %K = ((RSI - Lowest RSI) / (Highest RSI - Lowest RSI)) × 100, where the lookback is the StochRSI length. If the range is zero, %K defaults to 50.0. %K is then smoothed using SMA with the %K smoothing length. %D is calculated as SMA of smoothed %K with the %D smoothing length. All values are clamped to 0-100. You can select which RSI (6, 14, or 24) to use as the source for StochRSI calculation.
RSI Bollinger Bands
Bollinger Bands are applied to RSI(14) instead of price. The calculation: Basis = SMA(RSI(14), BB Period), StdDev = stdev(RSI(14), BB Period), Upper = Basis + (StdDev × Deviation Multiplier), Lower = Basis - (StdDev × Deviation Multiplier). This creates dynamic zones around RSI that adapt to RSI volatility. When RSI touches or exceeds the bands, it indicates extreme conditions relative to recent RSI behavior.
Noise Reduction System
The script includes a comprehensive noise reduction system to filter false signals and improve accuracy. When enabled, signals must pass multiple quality checks:
Signal Strength Requirement: RSI must be at least X points away from the centerline (50). For buy signals, RSI must be at least X points below 50. For sell signals, RSI must be at least X points above 50. This ensures signals only trigger when RSI is significantly in oversold/overbought territory, not just near neutral.
Extreme Zone Requirement: RSI must be deep in the OB/OS zone. For buy signals, RSI must be at least X points below the oversold threshold. For sell signals, RSI must be at least X points above the overbought threshold. This ensures signals only fire in extreme conditions where reversals are more likely.
Consecutive Bar Confirmation: The signal condition must persist for N consecutive bars before triggering. This reduces false signals from single-bar spikes or noise. The confirmation checks that the signal condition was true for all bars in the lookback period.
Zone Persistence (Optional): Requires RSI to remain in the OB/OS zone for N consecutive bars, not just touch it. This ensures RSI is truly in an extreme state rather than just briefly touching the threshold. When enabled, this provides stricter filtering for higher-quality signals.
RSI Slope Confirmation (Optional): Requires RSI to be moving in the expected signal direction. For buy signals, RSI should be rising (recovering from oversold). For sell signals, RSI should be falling (declining from overbought). This ensures momentum is aligned with the signal direction. The slope is calculated by comparing current RSI to RSI N bars ago.
All noise reduction filters can be enabled/disabled independently, allowing you to customize the balance between signal frequency and accuracy. The default settings provide a good balance, but you can adjust them based on your trading style and market conditions.
Alert System
The script includes separate alert conditions for each signal type: buy/sell (adaptive RSI crossovers), divergence (regular, strong, hidden), crossovers (RSI50 centerline, RSI period crossovers), synergy signals, and trend breaks. Each alert type has its own alertcondition() declaration with a unique title and message.
An optional cooldown system prevents alert spam by requiring a minimum number of bars between alerts of the same type. The cooldown check: canAlert = na(lastAlertBar) OR (bar_index - lastAlertBar >= cooldownBars). If the last alert bar is na (first alert), it always allows the alert. Each alert type maintains its own lastAlertBar variable, so cooldowns are independent per signal type. The default cooldown is 10 bars, which is recommended for noise reduction.
Higher Timeframe RSI
The script can display RSI from a higher timeframe using request.security(). This allows you to see the RSI context from a larger timeframe (e.g., daily RSI on an hourly chart). The higher timeframe RSI uses RSI(14) calculation from the selected timeframe. This provides context for the current timeframe's RSI position relative to the larger trend.
RSI Pivot Trendlines
The script can draw trendlines connecting pivot highs and lows on RSI(6). This feature helps visualize RSI trends and identify potential trend breaks.
Pivot Detection: Pivots are detected using a configurable period. The script can require pivots to have minimum strength (RSI points difference from surrounding bars) to filter out weak pivots. Lower minPivotStrength values detect more pivots (more trendlines), while higher values detect only stronger pivots (fewer but more significant trendlines). Pivot confirmation is optional: when enabled, the script waits N bars to confirm the pivot remains the extreme, reducing repainting. Pivot confirmation functions (f_confirmPivotLow and f_confirmPivotHigh) are always called on every bar for consistency, as recommended by TradingView. When pivot bars are not available (na), safe default values are used, and the results are then used conditionally based on confirmation settings. This ensures consistent calculations and prevents calculation inconsistencies.
Trendline Drawing: Uptrend lines connect confirmed pivot lows (green), and downtrend lines connect confirmed pivot highs (red). By default, only the most recent trendline is shown (old trendlines are deleted when new pivots are confirmed). This keeps the chart clean and uncluttered. If "Keep Historical Trendlines" is enabled, the script preserves up to N historical trendlines (configurable via "Max Trendlines to Keep", default 5). When historical trendlines are enabled, old trendlines are saved to arrays instead of being deleted, allowing you to see multiple trendlines simultaneously for better trend analysis. The arrays are automatically limited to prevent memory accumulation.
Trend Break Detection: Signals are generated when RSI breaks above or below trendlines. Uptrend breaks (RSI crosses below uptrend line) generate buy signals. Downtrend breaks (RSI crosses above downtrend line) generate sell signals. Optional trend break confirmation requires the break to persist for N bars and optionally include volume confirmation. Trendline angle filtering can exclude flat/weak trendlines from generating signals (minTrendlineAngle > 0 filters out weak/flat trendlines).
How Components Work Together
The combination of multiple RSI periods provides confirmation across different timeframes, reducing false signals. RSI(6) catches early moves, RSI(14) provides balanced signals, and RSI(24) confirms longer-term trends. When all three align (synergy), it indicates strong consensus across timeframes.
Volume confirmation ensures signals occur with sufficient market participation, filtering out low-volume false breakouts. Volume climax detection identifies potential reversal points, while volume dry-up avoidance prevents signals during unreliable low-volume periods.
Trend filters align signals with the overall market direction. The EMA filter ensures you're trading with the trend, and the EMA slope filter adds an additional layer by requiring the trend to be strengthening (rising EMA for buys, falling EMA for sells).
ADX filter ensures signals only fire during strong trends, avoiding choppy/consolidation periods. RSI(50) filter ensures momentum alignment with the trade direction.
Momentum confirmation requires RSI to be accelerating in the signal direction, ensuring signals only fire when momentum is aligned. Multi-timeframe confirmation ensures signals align with higher timeframe trends, reducing counter-trend trades.
Divergence detection identifies potential reversals before they occur, providing early warning signals. Pivot-based divergence provides more accurate detection by using actual pivot points. Hidden divergence identifies continuation patterns, useful for trend-following strategies.
The noise reduction system combines multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to significantly reduce false signals. These filters work together to ensure only high-quality signals are generated.
The synergy system requires alignment across all RSI periods for highest-quality signals, significantly reducing false positives. Regression forecasting provides forward-looking context, helping anticipate potential RSI direction changes.
Pivot trendlines provide visual trend analysis and can generate signals when RSI breaks trendlines, indicating potential reversals or continuations.
Reset conditions prevent signal spam by requiring a minimum number of bars between signals. Separate reset conditions for buy and sell signals ensure proper signal management.
Usage Instructions
Configuration Presets (Recommended): The script includes optimized preset configurations for instant setup. Simply select your trading style from the "Configuration Preset" dropdown:
- Scalping Preset: RSI(4, 7, 9) with minimal smoothing. Noise reduction disabled, momentum confirmation disabled for fastest signals.
- Day Trading Preset: RSI(6, 9, 14) with light smoothing. Momentum confirmation enabled for better signal quality.
- Swing Trading Preset: RSI(14, 14, 21) with moderate smoothing. Balanced configuration for medium-term trades.
- Position Trading Preset: RSI(24, 21, 28) with heavier smoothing. Optimized for longer-term positions with all filters active.
- Custom Mode: Full manual control over all settings. Default behavior matches previous script versions.
Presets automatically configure RSI periods, smoothing lengths, and filter settings. You can still manually adjust any setting after selecting a preset if needed.
Getting Started: The easiest way to get started is to select a configuration preset matching your trading style (Scalping, Day Trading, Swing Trading, or Position Trading) from the "Configuration Preset" dropdown. This instantly configures all settings for optimal performance. Alternatively, use "Custom" mode for full manual control. The default configuration (Custom mode) shows RSI(6), RSI(14), and RSI(24) with their default smoothing. Overbought/oversold fill zones are enabled by default.
Customizing RSI Periods: Adjust the RSI lengths (6, 14, 24) based on your trading timeframe. Shorter periods (6) for scalping, standard (14) for day trading, longer (24) for swing trading. You can disable any RSI period you don't need.
Smoothing Selection: Choose smoothing method based on your needs. EMA provides balanced smoothing, RMA (Wilder's) is traditional, Zero-Lag reduces lag but may increase noise. Adjust smoothing lengths individually or use global smoothing for consistency. Note: Smoothing lengths are automatically validated to ensure they are always less than the corresponding RSI period length. If you set smoothing >= RSI length, it will be auto-adjusted to prevent invalid configurations.
Dynamic OB/OS: The dynamic thresholds automatically adapt to volatility. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets.
Volume Confirmation: Set volume threshold to 1.2 (default) for standard confirmation, higher for stricter filtering, or 0.1 to disable volume filtering entirely.
Multi-RSI Synergy: Use "ALL" mode for highest-quality signals (all 3 RSIs must align), or "2-of-3" mode for more frequent signals. Adjust the reset period to control signal frequency.
Filters: Enable filters gradually to find your preferred balance. Start with volume confirmation, then add trend filter, then ADX for strongest confirmation. RSI(50) filter is useful for momentum-based strategies and is recommended for noise reduction. Momentum confirmation and multi-timeframe confirmation add additional layers of accuracy but may reduce signal frequency.
Noise Reduction: The noise reduction system is enabled by default with balanced settings. Adjust minSignalStrength (default 3.0) to control how far RSI must be from centerline. Increase requireConsecutiveBars (default 1) to require signals to persist longer. Enable requireZonePersistence and requireRsiSlope for stricter filtering (higher quality but fewer signals). Start with defaults and adjust based on your needs.
Divergence: Enable divergence detection and adjust lookback periods. Strong divergence (with engulfing confirmation) provides higher-quality signals. Hidden divergence is useful for trend-following strategies. Enable pivot-based divergence for more accurate detection using actual pivot points instead of simple lowest/highest comparisons. Pivot-based divergence uses tolerance-based matching (1% for price, 1.0 RSI point for RSI) for better accuracy.
Forecasting: Enable regression forecasting to see potential RSI direction. Linear regression is simplest, polynomial captures curves, exponential smoothing adapts to trends. Adjust horizon based on your trading timeframe. Confidence bands show forecast uncertainty - wider bands indicate less reliable forecasts.
Pivot Trendlines: Enable pivot trendlines to visualize RSI trends and identify trend breaks. Adjust pivot detection period (default 5) - higher values detect fewer but stronger pivots. Enable pivot confirmation (default ON) to reduce repainting. Set minPivotStrength (default 1.0) to filter weak pivots - lower values detect more pivots (more trendlines), higher values detect only stronger pivots (fewer trendlines). Enable "Keep Historical Trendlines" to preserve multiple trendlines instead of just the most recent one. Set "Max Trendlines to Keep" (default 5) to control how many historical trendlines are preserved. Enable trend break confirmation for more reliable break signals. Adjust minTrendlineAngle (default 0.0) to filter flat trendlines - set to 0.1-0.5 to exclude weak trendlines.
Alerts: Set up alerts for your preferred signal types. Enable cooldown to prevent alert spam. Each signal type has its own alert condition, so you can be selective about which signals trigger alerts.
Visual Elements and Signal Markers
The script uses various visual markers to indicate signals and conditions:
- "sBottom" label (green): Strong bottom signal - RSI at extreme low with strong buy conditions
- "sTop" label (red): Strong top signal - RSI at extreme high with strong sell conditions
- "SyBuy" label (lime): Multi-RSI synergy buy signal - all RSIs aligned oversold
- "SySell" label (red): Multi-RSI synergy sell signal - all RSIs aligned overbought
- 🐂 emoji (green): Strong bullish divergence detected
- 🐻 emoji (red): Strong bearish divergence detected
- 🔆 emoji: Weak divergence signals (if enabled)
- "H-Bull" label: Hidden bullish divergence
- "H-Bear" label: Hidden bearish divergence
- ⚡ marker (top of pane): Volume climax detected (extreme volume) - positioned at top for visibility
- 💧 marker (top of pane): Volume dry-up detected (very low volume) - positioned at top for visibility
- ↑ triangle (lime): Uptrend break signal - RSI breaks below uptrend line
- ↓ triangle (red): Downtrend break signal - RSI breaks above downtrend line
- Triangle up (lime): RSI(50) bullish crossover
- Triangle down (red): RSI(50) bearish crossover
- Circle markers: RSI period crossovers
All markers are positioned at the RSI value where the signal occurs, using location.absolute for precise placement.
Signal Priority and Interpretation
Signals are generated independently and can occur simultaneously. Higher-priority signals generally indicate stronger setups:
1. Multi-RSI Synergy signals (SyBuy/SySell) - Highest priority: Requires alignment across all RSI periods plus volume and filter confirmation. These are the most reliable signals.
2. Strong Top/Bottom signals (sTop/sBottom) - High priority: Indicates extreme RSI levels with strong bounce conditions. Requires volume confirmation and all filters.
3. Divergence signals - Medium-High priority: Strong divergence (with engulfing) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal.
4. Adaptive RSI crossovers - Medium priority: Buy when adaptive RSI crosses below dynamic oversold, sell when it crosses above dynamic overbought. These use volatility-adjusted RSI for more accurate signals.
5. RSI(50) centerline crossovers - Medium priority: Momentum shift signals. Less reliable alone but useful when combined with other confirmations.
6. RSI period crossovers - Lower priority: Early momentum shift indicators. Can provide early warning but may produce false signals in choppy markets.
Best practice: Wait for multiple confirmations. For example, a synergy signal combined with divergence and volume climax provides the strongest setup.
Chart Requirements
For proper script functionality and compliance with TradingView requirements, ensure your chart displays:
- Symbol name: The trading pair or instrument name should be visible
- Timeframe: The chart timeframe should be clearly displayed
- Script name: "Ultimate RSI " should be visible in the indicator title
These elements help traders understand what they're viewing and ensure proper script identification. The script automatically includes this information in the indicator title and chart labels.
Performance Considerations
The script is optimized for performance:
- ATR and Volume SMA are cached using var variables, updating only on confirmed and real-time bars to reduce redundant calculations
- Forecast line arrays are dynamically managed: lines are reused when possible, and unused lines are deleted to prevent memory accumulation
- Calculations use efficient Pine Script functions (ta.rsi, ta.ema, etc.) which are optimized by TradingView
- Array operations are minimized where possible, with direct calculations preferred
- Polynomial regression automatically caps the forecast horizon at 20 bars (POLYNOMIAL_MAX_HORIZON constant) to prevent performance degradation, as polynomial regression has O(n³) complexity. This safeguard ensures optimal performance even with large horizon settings
- Pivot detection includes edge case handling to ensure reliable calculations even on early bars with limited historical data. Regression forecasting functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, and division-by-zero protection in all mathematical operations
The script should perform well on all timeframes. On very long historical data, forecast lines may accumulate if the horizon is large; consider reducing the forecast horizon if you experience performance issues. The polynomial regression performance safeguard automatically prevents performance issues for that specific regression type.
Known Limitations and Considerations
- Forecast lines are forward-looking projections and should not be used as definitive predictions. They provide context but are not guaranteed to be accurate.
- Dynamic OB/OS thresholds can exceed 100 or go below 0 in extreme volatility scenarios, but are clamped to 0-100 range. This means in very volatile markets, the dynamic thresholds may not widen as much as the raw calculation suggests.
- Volume confirmation requires sufficient historical volume data. On new instruments or very short timeframes, volume calculations may be less reliable.
- Higher timeframe RSI uses request.security() which may have slight delays on some data feeds.
- Regression forecasting requires at least N bars of history (where N = forecast horizon) before it can generate forecasts. Early bars will not show forecast lines.
- StochRSI calculation requires the selected RSI source to have sufficient history. Very short RSI periods on new charts may produce less reliable StochRSI values initially.
Practical Use Cases
The indicator can be configured for different trading styles and timeframes:
Swing Trading: Select the "Swing Trading" preset for instant optimal configuration. This preset uses RSI periods (14, 14, 21) with moderate smoothing. Alternatively, manually configure: Use RSI(24) with Multi-RSI Synergy in "ALL" mode, combined with trend filter (EMA 200) and ADX filter. This configuration provides high-probability setups with strong confirmation across multiple RSI periods.
Day Trading: Select the "Day Trading" preset for instant optimal configuration. This preset uses RSI periods (6, 9, 14) with light smoothing and momentum confirmation enabled. Alternatively, manually configure: Use RSI(6) with Zero-Lag smoothing for fast signal detection. Enable volume confirmation with threshold 1.2-1.5 for reliable entries. Combine with RSI(50) filter to ensure momentum alignment. Strong top/bottom signals work well for day trading reversals.
Trend Following: Enable trend filter (EMA) and EMA slope filter for strong trend confirmation. Use RSI(14) or RSI(24) with ADX filter to avoid choppy markets. Hidden divergence signals are useful for trend continuation entries.
Reversal Trading: Focus on divergence detection (regular and strong) combined with strong top/bottom signals. Enable volume climax detection to identify capitulation moments. Use RSI(6) for early reversal signals, confirmed by RSI(14) and RSI(24).
Forecasting and Planning: Enable regression forecasting with polynomial or exponential smoothing methods. Use forecast horizon of 10-20 bars for swing trading, 5-10 bars for day trading. Confidence bands help assess forecast reliability.
Multi-Timeframe Analysis: Enable higher timeframe RSI to see context from larger timeframes. For example, use daily RSI on hourly charts to understand the larger trend context. This helps avoid counter-trend trades.
Scalping: Select the "Scalping" preset for instant optimal configuration. This preset uses RSI periods (4, 7, 9) with minimal smoothing, disables noise reduction, and disables momentum confirmation for faster signals. Alternatively, manually configure: Use RSI(6) with minimal smoothing (or Zero-Lag) for ultra-fast signals. Disable most filters except volume confirmation. Use RSI period crossovers (RSI(6) × RSI(14)) for early momentum shifts. Set volume threshold to 1.0-1.2 for less restrictive filtering.
Position Trading: Select the "Position Trading" preset for instant optimal configuration. This preset uses extended RSI periods (24, 21, 28) with heavier smoothing, optimized for longer-term trades. Alternatively, manually configure: Use RSI(24) with all filters enabled (Trend, ADX, RSI(50), Volume Dry-Up avoidance). Multi-RSI Synergy in "ALL" mode provides highest-quality signals.
Practical Tips and Best Practices
Getting Started: The fastest way to get started is to select a configuration preset that matches your trading style. Simply choose "Scalping", "Day Trading", "Swing Trading", or "Position Trading" from the "Configuration Preset" dropdown to instantly configure all settings optimally. For advanced users, use "Custom" mode for full manual control. The default configuration (Custom mode) is balanced and works well across different markets. After observing behavior, customize settings to match your trading style.
Reducing Repainting: All signals are based on confirmed bars, minimizing repainting. The script uses confirmed bar data for all calculations to ensure backtesting accuracy.
Signal Quality: Multi-RSI Synergy signals in "ALL" mode provide the highest-quality signals because they require alignment across all three RSI periods. These signals have lower frequency but higher reliability. For more frequent signals, use "2-of-3" mode. The noise reduction system further improves signal quality by requiring multiple confirmations (signal strength, extreme zone, consecutive bars, optional zone persistence and RSI slope). Adjust noise reduction settings to balance signal frequency vs. accuracy.
Filter Combinations: Start with volume confirmation, then add trend filter for trend alignment, then ADX filter for trend strength. Combining all three filters significantly reduces false signals but also reduces signal frequency. Find your balance based on your risk tolerance.
Volume Filtering: Set volume threshold to 0.1 or lower to effectively disable volume filtering if you trade instruments with unreliable volume data or want to test without volume confirmation. Standard confirmation uses 1.2-1.5 threshold.
RSI Period Selection: RSI(6) is most sensitive and best for scalping or early signal detection. RSI(14) provides balanced signals suitable for day trading. RSI(24) is smoother and better for swing trading and trend confirmation. You can disable any RSI period you don't need to reduce visual clutter.
Smoothing Methods: EMA provides balanced smoothing with moderate lag. RMA (Wilder's smoothing) is traditional and works well for RSI. Zero-Lag reduces lag but may increase noise. WMA gives more weight to recent values. Choose based on your preference for responsiveness vs. smoothness.
Forecasting: Linear regression is simplest and works well for trending markets. Polynomial regression captures curves and works better in ranging markets. Exponential smoothing adapts to trends. Moving average method is most conservative. Use confidence bands to assess forecast reliability.
Divergence: Strong divergence (with engulfing confirmation) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal, useful for trend-following strategies. Pivot-based divergence provides more accurate detection by using actual pivot points instead of simple lowest/highest comparisons. Adjust lookback periods based on your timeframe: shorter for day trading, longer for swing trading. Pivot divergence period (default 5) controls the sensitivity of pivot detection.
Dynamic Thresholds: Dynamic OB/OS thresholds automatically adapt to volatility. In volatile markets, thresholds widen; in calm markets, they narrow. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets.
Alert Management: Enable alert cooldown (default 10 bars, recommended) to prevent alert spam. Each alert type has its own cooldown, so you can set different cooldowns for different signal types. For example, use shorter cooldown for synergy signals (high quality) and longer cooldown for crossovers (more frequent). The cooldown system works independently for each signal type, preventing spam while allowing different signal types to fire when appropriate.
Technical Specifications
- Pine Script Version: v6
- Indicator Type: Non-overlay (displays in separate panel below price chart)
- Repainting Behavior: Minimal - all signals are based on confirmed bars, ensuring accurate backtesting results
- Performance: Optimized with caching for ATR and volume calculations. Forecast arrays are dynamically managed to prevent memory accumulation.
- Compatibility: Works on all timeframes (1 minute to 1 month) and all instruments (stocks, forex, crypto, futures, etc.)
- Edge Case Handling: All calculations include safety checks for division by zero, NA values, and boundary conditions. Reset conditions and alert cooldowns handle edge cases where conditions never occurred or values are NA.
- Reset Logic: Separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) ensure logical correctness.
- Input Parameters: 60+ customizable parameters organized into logical groups for easy configuration. Configuration presets available for instant setup (Scalping, Day Trading, Swing Trading, Position Trading, Custom).
- Noise Reduction: Comprehensive noise reduction system with multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to reduce false signals.
- Pivot-Based Divergence: Enhanced divergence detection using actual pivot points for improved accuracy.
- Momentum Confirmation: RSI momentum filter ensures signals only fire when RSI is accelerating in the signal direction.
- Multi-Timeframe Confirmation: Optional higher timeframe RSI alignment for trend confirmation.
- Enhanced Pivot Trendlines: Trendline drawing with strength requirements, confirmation, and trend break detection.
Technical Notes
- All RSI values are clamped to 0-100 range to ensure valid oscillator values
- ATR and Volume SMA are cached for performance, updating on confirmed and real-time bars
- Reset conditions handle edge cases: if a condition never occurred, reset returns true (allows first signal)
- Alert cooldown handles na values: if no previous alert, cooldown allows the alert
- Forecast arrays are dynamically sized based on horizon, with unused lines cleaned up
- Fill logic uses a minimum gap (0.1) to ensure reliable polygon rendering in TradingView
- All calculations include safety checks for division by zero and boundary conditions. Regression functions validate that horizon doesn't exceed array size, and all array access operations include bounds checking to prevent out-of-bounds errors
- The script uses separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) for logical correctness
- Background coloring uses a fallback system: dynamic color takes priority, then RSI(6) heatmap, then monotone if both are disabled
- Noise reduction filters are applied after accuracy filters, providing multiple layers of signal quality control
- Pivot trendlines use strength requirements to filter weak pivots, reducing noise in trendline drawing. Historical trendlines are stored in arrays and automatically limited to prevent memory accumulation when "Keep Historical Trendlines" is enabled
- Volume climax and dry-up markers are positioned at the top of the pane for better visibility
- All calculations are optimized with conditional execution - features only calculate when enabled (performance optimization)
- Input Validation: Automatic cross-input validation ensures smoothing lengths are always less than RSI period lengths, preventing configuration errors
- Configuration Presets: Four optimized preset configurations (Scalping, Day Trading, Swing Trading, Position Trading) for instant setup, plus Custom mode for full manual control
- Constants Management: Magic numbers extracted to documented constants for improved maintainability and easier tuning (pivot tolerance, divergence thresholds, fill gap, etc.)
- TradingView Function Consistency: All TradingView functions (ta.crossover, ta.crossunder, ta.atr, ta.lowest, ta.highest, ta.lowestbars, ta.highestbars, etc.) and custom functions that depend on historical results (f_consecutiveBarConfirmation, f_rsiSlopeConfirmation, f_rsiZonePersistence, f_applyAllFilters, f_rsiMomentum, f_forecast, f_confirmPivotLow, f_confirmPivotHigh) are called on every bar for consistency, as recommended by TradingView. Results are then used conditionally when needed. This ensures consistent calculations and prevents calculation inconsistencies.
Crypto Liquidation Zones & Order Clusters This PineScript v6 indicator was specifically designed for crypto traders and displays estimated liquidation zones as well as probable order clusters on the chart. Since TradingView has no direct access to real order book data, stop-loss positions, or internal exchange liquidation levels, the indicator works with intelligent estimations based on historical volume data and market behavior.
The indicator identifies three main types of critical price zones: First, it marks psychological levels – round numbers like $100,000 or $50,000, where limit orders typically accumulate. Second, it highlights high-volume zones, areas with unusually high trading volume that indicate many traders have opened positions there. Third, the indicator calculates estimated liquidation zones for long and short positions by assuming typical leverage levels (default 10x) and projecting the probable liquidation prices.
The mechanism is based on analyzing volume spikes combined with volatility: When a strong price increase occurs with high volume, the indicator stores this level as a probable long-entry point and calculates the corresponding liquidation zone below the current price. During price declines with high volume, short positions are tracked and their liquidation zones are drawn above the price. Red zones mark long liquidations, green zones mark short liquidations, blue boxes show high-volume areas, and yellow dashed lines indicate psychological levels.
All settings are fully customizable: You can adjust the lookback period (default 100 bars), sensitivity for volume spikes, assumed average leverage, and toggle individual display elements. An info panel in the top-right corner shows you live how many long and short entry levels are currently being tracked and how current volume compares to the average. It's important to understand that all displayed zones are estimates – the indicator cannot see actual orders from other traders, but it provides valuable insights into areas where many positions are likely at risk and liquidation cascades could occur.
Watermark | Bar Time | Average Daily RangeMulti Info Panel & Watermark
Multi Info Panel & Watermark is a utility indicator that displays several pieces of chart information in a single, customizable panel. It is designed to support intraday and swing analysis by making key data—such as symbol details, date, and average daily range—easy to see at a glance, as well as providing simple tools for notes and backtesting.
Features
Watermark / Custom Note
Optional text overlay that can be used as a watermark or personal note.
Can display a strategy name, reminder, or any other user-defined label on the chart.
Ticker Info
Shows information about the currently active symbol on the chart (for example, symbol name and other basic details depending on the inputs).
Helps keep track of which market or pair is being analyzed, especially when using multiple charts.
Current Date
Displays the current date directly on the chart.
Useful for screenshots, journaling, and documenting analysis.
Average Daily Range (ADR)
Calculates the average daily range of the active symbol over a user-defined number of recent days.
Helps visualize how much price typically moves in a day, which can support position sizing, target setting, or volatility awareness within your own trading approach.
Open Bar Time Marker
Marks the open time of a selected bar (for example, a session open or a specific reference bar).
Primarily intended as a visual aid for manual backtesting and reviewing historical price action.
Usage
Use the watermark and ticker info to keep your charts labeled and organized.
Refer to the ADR readout to understand typical daily volatility of the instrument you are studying.
Use the date and open bar time marker when creating screenshots, trade journals, or when replaying historical sessions for review.
This script does not generate trading signals and does not guarantee any performance or results. It is provided solely as an informational and visualization tool. Always combine it with your own analysis, risk management, and decision-making. Nothing in this indicator or description should be considered financial advice.
Force Pulse█ OVERVIEW
Force Pulse is a fast-reacting oscillator that measures the internal strength of market sides by analyzing the aggregated dominance of bulls and bears based on candle size.
The indicator normalizes this difference into a 0–100 range, generates signals (OB/OS, midline cross, MA midline cross), and detects divergences between price and the oscillator.
It also offers advanced visualization, signal markers, and alerts, making it a versatile tool suitable for many trading styles.
█ CONCEPTS
Force Pulse was designed as a universal tool that can be applied to various trading strategies depending on its settings:
- increasing the period lengths and smoothing transforms it into a momentum/trend indicator, revealing a stable dominance of one market side.
- Lowering these parameters turns it into a peak/low detector, ideal for contrarian and mean-reversion strategies.
The oscillator analyzes the relationship between the sum of bullish and bearish candles over a selected period, based on:
- candle body size, or
- average candle body size (AVG Body).
Depending on the selected mode, OB/OS levels should be adjusted, as value dynamics differ between modes.
The output is normalized to 0–100, where:
> 50 – bullish dominance,
< 50 – bearish dominance.
The additional MA line is derived from smoothed oscillator values and serves as a signal line for midline crosses and as a trend filter.
The indicator also detects divergences (HL/LL) between price and the oscillator.
█ FEATURES
Bull & Bear Strength:
- Calculations are based on Body or AVG Body – mode selection requires adjusting OB/OS levels.
- Bullish and bearish candle values are summed separately.
- All results are normalized to the 0–100 scale.
Force Pulse Oscillator:
- The main line reflects the current dominance of either market side.
Dynamic colors:
- Green – above 50,
- Red – below 50.
Signal MA:
- SMA based on oscillator values functions as a signal line.
- Helps detect momentum shifts and generates signals via midline crosses.
- Can serve as a trend confirmation filter.
Overbought / Oversold:
- Configurable OB/OS levels, also for the MA line.
- Dynamic OB/OS line colors: when the MA line exceeds the defined threshold (e.g., MA > maOverbought or MA < maOversold), OB/OS lines change color (red/green).
- This often signals a potential reversal or correction and may act as additional confirmation for oscillator-generated signals.
Divergences:
- Detection based on swing pivots:
- Bullish: price LL, oscillator HL
- Bearish: price HH, oscillator LH
- Displayed as “Bull” / “Bear” labels.
Signals:
Supports multiple signal types:
- Overbought/Oversold Cross
- Midline Cross
- MA Midline Cross (based on the signal MA line)
- Signals appear as triangles above/below the oscillator.
Visualization:
- Gradient options for lines and levels.
- Full customization of colors, transparency, and line thickness.
Alerts available for:
- Divergences
- OB/OS crossings
- Midline crossings
- MA midline crossings
█ HOW TO USE
Add the indicator to your TradingView chart → Indicators → search “Force Pulse”
Parameter Configuration
Calculation Settings:
- Calculation Period (lookback) – defines the strength calculation window.
Force Mode (Body / AVG Body):
- Body – faster response, higher sensitivity.
- AVG Body – more stable output; adjust band levels and periods to your strategy.
- EMA Smoothing (smoothLen) – reduces oscillator noise.
- MA Length – length of the signal line (SMA).
Threshold Levels:
- Set Overbought/Oversold levels for both the oscillator and the MA line.
- Adjust levels depending on Body / AVG Body mode.
Divergence Detection:
- Enable/disable divergence detection.
- PivotLength affects both delay and signal quality.
- Signal Settings: Choose one or multiple signal types.
- Style & Colors: Full control over color schemes, gradients, and transparency.
Signal Interpretation
BUY:
- Oscillator leaves oversold (OS crossover).
- Midline cross upward.
- MA crosses the midline from below.
- Bullish divergence.
SELL:
- Oscillator leaves overbought (drops below OB).
- Midline cross downward.
- MA crosses the midline from above.
- Bearish divergence.
Trend / Momentum:
-Longer periods and stronger smoothing → stable directional signals.
-MA as a trend filter: e.g., signal line above the midline (50) and MA pointing upward indicates continuation of a bullish impulse.
Contrarian / Mean Reversion:
- Short periods → rapid detection of peaks and troughs; ideal for contrarian signals and pullback entries.
█ APPLICATIONS
- Trend Trading: Using midline and MA midline crosses to determine direction.
- Reversal Trading: OB/OS levels and divergences help identify reversals.
- Scalping & Intraday: Short settings + signal line above the midline with bullish MA → shows short-term impulse and continuation.
- Swing Trading: Longer MA and higher lookback provide a stable view of market-side dominance.
- Momentum Analysis: Force Pulse highlights the strength of the wave before price movement occurs.
█ NOTES
- In strong trends, the oscillator may stay in extreme zones for a long time — this reflects dominance, not necessarily a reversal signal.
- Divergences are more reliable on higher timeframes.
- OB/OS levels should be tailored to Body/AVG Body mode and the instrument.
- Best results come from combining the indicator with other tools (S/R, market structure, volume).
Baba-pro EMA Break Sniper This indicator is designed to provide high-precision entries based on the interaction between EMAs, momentum, and clean price breaks.
Instead of relying on traditional EMA crossovers — which are often too slow — this tool focuses on direct EMA breakouts, allowing you to catch moves before most traders even react.
