Candlestick analysis
4h 相对超跌筛选器 · Webhook v2.0## 指标用途
用于你的「框架第2步」:在**美股 RTH**里,按**4h 收盘**(06:30–10:30 PT 为首根)筛出相对大盘/行业**显著超跌**且结构健康的候选标的,并可**通过 Webhook 自动推送**`symbol + ts`给下游 AI 执行新闻甄别(第3步)与进出场评估(第4步)。
## 工作原理(核心逻辑)
* **结构健康**:最近 80 根 4h 中,收盘 > 4h_SMA50 的占比 ≥ 阈值(默认 55%)。
* **跌深条件**:4h 跌幅 ≤ −4%,且近两根累计(≈8h)≤ −6%。
* **相对劣化**:相对大盘(SPY/QQQ)与相对行业(XLK/XLF/… 或 KWEB/CQQQ)各 ≤ −3%。
* **流动性与价格**:ADV20_USD ≥ 2000 万;价格 ≥ 3 美元。
* **只在 4h 收盘刻评估与触发**,历史点位全部保留,便于回放核验。
* **冷却**:同一标的信号间隔 ≥ N 天(默认 10)。
## 主要输入参数
* **bench / sector**:大盘与行业基准(例:SPY/QQQ,XLK/XLF/XLY;中概用 KWEB/CQQQ)。
* **advMinUSD / priceMin**:20 日美元成交额下限、最小价格。
* **pctAboveTh**:结构健康阈值(%)。
* **drop4hTh / drop8hTh**:4h/8h 跌幅阈值(%)。
* **relMktTh / relSecTh**:相对大盘/行业阈值(%)。
* **coolDays**:冷却天数。
* **fromDate**:仅显示此日期后的历史信号(图表拥挤时可用)。
* **showTable / tableRows**:是否显示右上角“最近信号表”及行数。
## 图表信号
* **S2 绿点**:当根 4h 收盘满足全部筛选条件。
* **右上角表格**:滚动列出最近 N 条命中(`SYMBOL @ yyyy-MM-dd HH:mm`,按图表本地时区)。
## Webhook 联动(生产用)
1. 添加指标 → 🔔 新建警报(Alert):
* **Condition**:`Any alert() function call`
* **Options**:`Once per bar close`
* **Webhook URL**:填你的接收地址(可带 `?token=...`)
* **Message**:留空(脚本内部 `alert(payload)` 会发送 JSON)。
2. 典型 JSON 载荷(举例):
```json
{
"event": "step2_signal",
"symbol": "LULU",
"symbol_id": "NASDAQ:LULU",
"venue": "NASDAQ",
"bench": "SPY",
"sector": "XLY",
"ts_bar_close_ms": 1754524200000,
"ts_bar_close_local": "2025-06-06 10:30",
"price_close": 318.42,
"ret_4h_pct": -5.30,
"ret_8h_pct": -7.45,
"rel_mkt_pct": -4.90,
"rel_sec_pct": -3.80
}
```
> 建议以 `symbol + ts_bar_close_ms` 做去重键;接收端先快速 `200 OK`,后续异步处理并交给第3步 AI。
## 使用建议
* **时间框架**:任意周期可用,指标内部统一拉取 240 分钟数据并仅在 4h 收盘刻触发。
* **行业映射**:尽量选与个股业务最贴近的 ETF;中国 ADR 可用 `PGJ/KWEB/CQQQ` 叠加细分行业对照。
* **回放验证**:Bar Replay **不发送真实 Webhook**;仅用于查看历史命中与表格。测试接收端请用 Alert 面板的 **Test**。
## 适配说明
* Pine Script **v5**。
* 不含成分筛查逻辑(请在你的 500–600 只候选池内使用)。
* 数字常量不使用下划线分隔;如需大数可用 `20000000` 或 `2e7`。
## 常见问题
* ⛔️ 报错 `tostring(...)`:Pine 无时间格式化重载,脚本已内置 `timeToStr()`。
* ⛔️ `syminfo.exchange` 不存在:已改用 `syminfo.prefix`(交易所前缀)。
* ⛔️ 多行字符串拼接报 `line continuation`:本脚本已用括号包裹或 `str.format` 规避。
## 免责声明
该指标仅供筛选与研究使用,不构成投资建议。请结合你的第3步新闻/基本面甄别与第4步执行规则共同决策。
Multi-Timeframe SFP (Swing Failure Pattern)How to Use
1. Set Pivot Timeframe: Choose the timeframe for identifying major swing points (e.g., 'D' for Daily pivots).
2. Set SFP Timeframe: Choose the timeframe to find the SFP candle (e.g., '240' for the 4-Hour chart).
3. Set Confirmation Bars: Set how many SFP Timeframe bars must pass without invalidating the level. A value of '0' confirms immediately on the SFP bar's close. A value of '1' waits for one more bar to close.
4. Adjust Filters (Optional): Enable the 'Wick % Filter' to add a quality check for strong rejections.
5. Watch & Wait: The indicator will draw lines and labels and fire alerts for fully confirmed signals.
In-Depth Explanation
1. Overview
The Dynamic Pivot SFP Engine is a multi-timeframe tool designed to identify and validate Swing Failure Patterns (SFPs) at significant price levels.
An SFP is a common price action pattern where price briefly trades beyond a previous swing high or low (sweeping liquidity) but then fails to hold those new prices, closing back inside the previous range. This "failure" often signals a reversal.
This indicator enhances SFP detection by separating the Pivot (Liquidity) from the SFP (Rejection), allowing you to monitor them on different timeframes.
2. The Core Multi-Timeframe Logic
The indicator's power comes from two key inputs:
• Pivot Timeframe (Pivot Timeframe)
This is the "high timeframe" used to establish significant support and resistance levels. The script finds standard pivots (swing highs and lows) on this timeframe based on the Pivot Left Strength and Pivot Right Strength inputs. These pivots are the "liquidity" levels the SFP will target. The Pivot Lookback input controls how long (in Pivot Timeframe bars) a pivot remains active and monitored.
• SFP Timeframe (SFP Timeframe)
This is the "execution timeframe" where the script looks for the actual SFP. On every new bar of this timeframe, the script checks if price has swept and rejected any of the active pivots.
Example Setup:
You might set Pivot Timeframe to 'D' (Daily) to find major daily swing points. You then set SFP Timeframe to '240' (4-Hour) to find a 4-hour candle that sweeps a daily pivot and closes back below/above it.
3. The SFP Confirmation Process
An SFP is not confirmed instantly. It must pass a rigorous, multi-step validation process.
Step 1: The SFP Candle (The Sweep)
A potential SFP is identified when an SFP Timeframe bar does the following:
• Bearish SFP: The bar's high trades above an active pivot high, but the bar closes below that same pivot high.
• Bullish SFP: The bar's low trades below an active pivot low, but the bar closes above that same pivot low.
Step 2: The Wick Filter (Optional Quality Check)
If Enable Wick % Filter is checked, the SFP candle from Step 1 is also measured.
• For a bearish SFP, the upper wick (from the high to the open/close) must be at least Min. Wick % of the entire candle's range (high-to-low).
• For a bullish SFP, the lower wick (from the low to the open/close) must meet the same percentage requirement.
If the SFP candle fails this test, it is discarded, even if it met the sweep/close criteria.
Step 3: The Validation Window (The Confirmation)
This is the most critical feature, controlled by Confirmation Bars.
• If Confirmation Bars = 0: The SFP is confirmed immediately on the SFP candle's close (assuming it passed the optional wick check). The label, line, and alert are triggered at this moment.
• If Confirmation Bars > 0: The SFP enters a "pending" state. The script will wait for $N$ more SFP Timeframe bars to close.
o Invalidation: If, during this waiting period, any bar closes back across the pivot (e.g., a close above the pivot for a bearish SFP), the SFP is considered failed and invalidated. All pending plots are deleted.
o Confirmation: If the $N$ confirmation bars all complete without invalidating the level, the SFP is finally confirmed. The label, line, and alert are only triggered after this entire process is complete. This adds a significant layer of robustness, ensuring the rejection holds for a period of time.
4. Visuals & Alerts
• Lines: A horizontal line is drawn from the original pivot to the SFP bar, showing which level was targeted. Note: These lines will only be drawn on chart timeframes equal to or lower than the 'SFP Timeframe'.
• Labels: A label is placed at the SFP's extreme (the high/low of the SFP bar). The label text conveniently includes the Ticker, Pivot TF, SFP TF, and Confirmation bar settings (e.g., "Bearish SFP BTCUSD / Pivot: 1D / SFP: 4H | Conf: 1").
• MTF Boxes (Show SFP Box, Show Conf. Boxes): These boxes highlight the SFP and confirmation bars. Crucially, they are only visible when your chart timeframe is lower than the SFP Timeframe. For example, if your SFP Timeframe is '240' (4H), you will only see these boxes on the 1H, 15M, 5M, etc., charts. This allows you to see the higher-timeframe SFP unfolding on your lower-timeframe chart.
• Alerts (Enable Alerts): An alert is fired only when an SFP is fully confirmed (i.e., after the Confirmation Bars have passed successfully). For efficient, real-time monitoring, it is highly recommended to run this indicator server-side by creating an alert on TradingView set to trigger on "Any alert() function call".
ADOLFO'S NINJA TURTLE SOUPThis indicator signals when there is a turtle soup of m30 in the NY session following the trend of a supertrend indicator in a 1-hour time interval, being excellent for taking RR trades 1 to 1. Created by Engineer Adolfo Pérez Espinoza.
PAMASHAIn this version of 19 OCT 001 UPDATE, this Indicator forecast the future by indicating Hidden divergences and regular Divergences. Besides, it will distinguish order blocks, FVGs, ... .
TFX Multi EMA Indicator (5, 10, 20, 50, 100, 200)5, 10, 20, 50, 100, 200 EMA
This indicator will be used to see the averages up to 5 candles, 10 candles, 20 candles, 50 candles, 100 candles, and 200 candles, enjoy!
Trí Nguyễn TrendM30 → M15 Reversal (Engulfing/Doji/Hammer)Trend follow M30
Entry M15 (Engulfing/Doji/Hammer)
Ahi Ultimate Script v6Ultimate Script v6 – a clean and flexible tool for monitoring price action:
Shows key moving lines for tracking market direction, with options to turn each line on or off.
Highlights short-term levels where price may react, using small horizontal lines.
Displays visual signals like “LONG” or “SELL” directly on the chart to help spot opportunities.
Marks important time-based ranges with colored boxes for quick reference.
All elements are clear, adjustable, and designed to keep your chart neat and easy to read
KDJ Max-Distance (K-D vs K-J)This indicator measures the maximum divergence between K and its related lines (D or J) in the KDJ stochastic system.
KEY CONCEPT:
- Calculates two distances: |K-D| and |K-J|
- Outputs whichever distance is larger
- Shows which component (D or J) is most diverged from K at any given time
CALCULATION:
1. Standard KDJ: K (fast), D (K smoothed), J (3K - 2D)
2. Distance K-D: momentum between fast and slow lines
3. Distance K-J: captures extreme divergence
4. Output: max(|K-D|, |K-J|) or signed version
INTERPRETATION:
• High positive values: K strongly above both D and J (strong upward momentum)
• High negative values: K strongly below both D and J (strong downward momentum)
• Near zero: K aligned with D/J (consolidation or reversal zone)
• Background color shows which is dominant: Teal=K-D, Orange=K-J
USE CASES:
- Identify extreme momentum conditions
- Spot divergence exhaustion
- Confirm trend strength
- Filter ranging vs trending markets
SETTINGS:
- Signed mode: preserves direction (positive/negative)
- Absolute mode: shows pure distance magnitude
- Adjustable guide levels for visual reference
CHAN CRYPTO RS🩷 ATR RS (Crypto / High-based 2.1x, Decimal Safe v2)
This indicator is designed for crypto position sizing and stop calculation using ATR-based risk management. It helps traders automatically determine the stop price, per-unit risk, and optimal position size based on a fixed risk amount in USDT.
🔧 Core Logic
ATR Length (Daily RMA) — calculates the daily Average True Range (ATR) using RMA smoothing.
ATR Multiplier (2.1× default) — defines how far the stop is placed from the daily high.
Stop Price (for Longs) = Daily High − ATR × Multiplier
Per-Unit Risk = (Entry − Stop) × Point Value
Position Size = Risk Amount ÷ Per-Unit Risk
Automatically handles decimal precision for micro-priced crypto assets (e.g., PEPE, SHIB).
Includes safeguards for minimum size and maximum position caps.
💡 Features
Uses Daily ATR without lookahead (no repainting).
Dynamically switches between current and previous ATR for stable results when the daily bar isn’t yet confirmed.
“Snap to tick” ensures stop prices align with the symbol’s tick size.
Table display summarizes ATR, stop price, per-unit risk, total risk, size, and bet amount.
Optional stop label on the chart for visual clarity.
🧮 Output Table
Metric Description
ATR(10) Daily RMA-based ATR
ATR used Chosen ATR (current or previous)
Stop Calculated stop price
Per-unit Risk per coin/unit
Risk Total risk in USDT
Size Optimal position size
Bet Total position value (Entry × Size)
🧠 Ideal For
Crypto traders who use fixed-risk ATR strategies and need precise, decimal-safe position sizing even for ultra-low-priced tokens.
Trading Sessions with 15 minute ORBA working copy of the original Tradingview trading sessions indicator with the addition of horizontal lines marking the 15 minute opening range for your ORB strategy. The lines reset with each session start.
Elite_Pro_SignalsA sophisticated trading indicator that combines 8 powerful technical factors into a single confidence score to identify high-probability reversal signals.
8-Factor Confidence Scoring - Weighted analysis of multiple technical aspects
Smart Trend Alignment - Multi-timeframe EMA convergence
Advanced Pattern Recognition - Pin Bars, Engulfing, Inside Bars, Hammer/Shooting Star
Supply/Demand Zones - Automatic key level detection
Support/Resistance Confluence - Price action at significant levels
⚡ Smart Filters
Market Regime Detection - Avoid choppy/low-volatility conditions
Volume Confirmation - Ensure institutional participation
Liquidity Sweep Validation - Smart money movement detection
Candle Quality Filter - Eliminate false signals from tiny candles
🔧 How It Works
Confidence Scoring System (0-100%)
text
Wick Strength (30%) + Trend Alignment (25%) + Pattern Recognition (15%) +
Supply/Demand Zones (12%) + Support/Resistance (10%) + RSI Momentum (5%) +
Volume & Liquidity (5%)
Signal Generation
🟢 BUY Signals - Bullish rejection + Uptrend + High confidence
🔴 SELL Signals - Bearish rejection + Downtrend + High confidence
🎨 Visual Features
Clear Buy/Sell Arrows - Easy-to-spot signals
Confidence Background - Color-coded confidence levels
Info Table - Real-time metrics and analysis
Multi-Timeframe EMAs - Trend direction visualization
Professional Alerts - Real-time notifications
⚙️ Customization
Confidence Weights
Adjust the importance of each factor to match your trading style
Strategy Parameters
EMA periods (Fast: 20, Slow: 50)
RSI levels (Oversold: 25, Overbought: 80)
Minimum confidence threshold (70% recommended)
Advanced Filters
Volume multiplier settings
Liquidity sweep sensitivity
Market regime filters
Zone detection parameters
📈 Recommended Usage
Timeframes
Primary: 5-minute to 1-hour charts
Best Results: 15-minute with 1-hour trend alignment
Markets
Forex Pairs (EURUSD, GBPUSD, XAUUSD)
Indices (US30, NAS100, DE40)
Commodities (Gold, Oil)
Trading Sessions
London & New York overlap (Highest volatility)
Avoid Asian session (Low signal quality)
🔍 Signal Interpretation
High-Confidence Signals (80%+)
Strong trend alignment
Clear rejection patterns
Volume confirmation
Multiple confluence factors
Medium-Confidence Signals (60-80%)
Good setup but missing 1-2 factors
Requires additional confirmation
Low-Confidence Signals (<60%)
Avoid trading
Wait for better setups
Elite_Pro SignalsTrial version to get the signals. used various indicators including candle pattern. Works on 5 min candle but checks multi time frames to see if it is inline with 15 min and 1 hr. Best works on Gold and Indices.
MechArt ATR Box 12 V1.1MechArt ATR Box 12 V1.1 — Auto ATR Edition
Overview:
The MechArt ATR Box 12 is a precision visualization tool for tracking ATR-based trade levels across multiple tickers. It automatically plots your +1 ATR roll zone, -2 ATR stop, and -3 ATR emergency exit, providing a clear visual map of your trade’s range and time horizon.
Key Features:
Auto ATR on Entry Date: For each configured ticker, the indicator automatically pulls the historical ATR(14) value that matches your entry date — no manual ATR entry needed. This refreshes each time the ticker is revisited.
Smart Defaults for Other Tickers:
If a ticker isn’t listed in the code, the indicator defaults to your current price as the entry, calculates ATR live, and sets expiration 21 days out, aligned to the next Friday.
Multi-Ticker Setup (12 Slots):
You can predefine up to 12 tickers inside the code, each with its own entry price, entry date and expiration date. Once saved, the indicator recognizes and loads them automatically when you open that chart.
Customizable Appearance:
Adjustable opacity and colors for each ATR box
Line width, style, and transparency controls
DTE/ATR label with adjustable font size
Dynamic Labels:
Displays the remaining days to expiration (DTE) and the ATR value used for calculations.
Use Case:
Designed for swing traders and options traders managing multiple active tickers. Each ATR box visually represents your trade window — from entry through expiration — with clear risk and roll boundaries.
How It Works:
Simply open the code once and enter your 12 tickers, each with its entry date and price. The script handles ATR lookups and expiration alignment automatically. Any ticker not included will generate its own default 21-day box.
Custom Moving Average Cross - White//@version=5
indicator("Custom Moving Average Cross", overlay=true)
// User-defined parameters for moving averages
short_period = input.int(10, title="Short Period", minval=1)
long_period = input.int(100, title="Long Period", minval=1)
// Calculate the moving averages
short_ma = ta.sma(close, short_period)
long_ma = ta.sma(close, long_period)
// Plot the moving averages
plot(short_ma, color=color.blue, title="Short MA")
plot(long_ma, color=color.red, title="Long MA")
// Define the buy and sell conditions based on crossovers
buy_signal = ta.crossover(short_ma, long_ma)
sell_signal = ta.crossunder(short_ma, long_ma)
// Plot the buy and sell signals with labels (white text)
plotshape(buy_signal, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal", text="BUY", textcolor=color.white)
plotshape(sell_signal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal", text="SELL", textcolor=color.white)
// Optional: Background color to highlight the signals
bgcolor(buy_signal ? color.new(color.green, 90) : na, title="Buy Signal Background")
bgcolor(sell_signal ? color.new(color.red, 90) : na, title="Sell Signal Background")
Realtime RenkoI've been working on real-time renko for a while as a coding challenge. The interesting problem here is building renko bricks that form based on incoming tick data rather than waiting for bar closes. Every tick that comes through gets processed immediately, and when price moves enough to complete a brick, that brick closes and a new one opens right then. It's just neat because you can run it and it updates as you'd expect with renko, forming bricks based purely on price movement happening in real time rather than waiting for arbitrary time intervals to pass.
The three brick sizing methods give you flexibility in how you define "enough movement" to form a new brick. Traditional renko uses a fixed price range, so if you set it to 10 ticks, every brick represents exactly 10 ticks of movement. This works well for instruments with stable tick sizes and predictable volatility. ATR-based sizing calculates the average true range once at startup using a weighted average across all historical bars, then divides that by your brick value input. If you want bricks that are one full ATR in size, you'd use a brick value of 1. If you want half-ATR bricks, use 2. This inverted relationship exists because the calculation is ATR divided by your input, which lets you work with multiples and fractions intuitively. Percentage-based sizing makes each brick a fixed percentage move from the previous brick's close, which automatically scales with price level and works well for instruments that move proportionally rather than in absolute tick increments.
The best part about this implementation is how it uses varip for state management. When you first load the indicator, there's no history at all. Everything starts fresh from the moment you add it to your chart because varip variables only exist in real-time. This means you're watching actual renko bricks form from real tick data as it arrives. The indicator builds its own internal history as it runs, storing up to 250 completed bricks in memory, but that history only exists for the current session. Refresh the page or reload the indicator and it starts over from scratch.
The visual implementation uses boxes for brick bodies and lines for wicks, drawn at offset bar indices to create the appearance of a continuous renko chart in the indicator pane. Each brick occupies two bar index positions horizontally, which spaces them out and makes the chart readable. The current brick updates in real time as new ticks arrive, with its high, low, and close values adjusting continuously until it reaches the threshold to close and become finalized. Once a brick closes, it gets pushed into the history array and a new brick opens at the closing level of the previous one.
What makes this especially useful for debugging and analysis are the hover tooltips on each brick. Clicking on any brick brings up information showing when it opened with millisecond precision, how long it took to form from open to close, its internal bar index within the renko sequence, and the brick size being used. That time delta measurement is particularly valuable because it reveals the pace of price movement. A brick that forms in five seconds indicates very different market conditions than one that takes three minutes, even though both bricks represent the same amount of price movement. You can spot acceleration and deceleration in trend development by watching how quickly consecutive bricks form.
The pine logs that generate when bricks close serve as breadcrumbs back to the main chart. Every time a brick finalizes, the indicator writes a log entry with the same information shown in the tooltip. You can click that log entry and TradingView jumps your main chart to the exact timestamp when that brick closed. This lets you correlate renko brick formation with what was happening on the time-based chart, which is critical for understanding context. A brick that closed during a major news announcement or at a key support level tells a different story than one that closed during quiet drift, and the logs make it trivial to investigate those situations.
The internal bar indexing system maintains a separate count from the chart's bar_index, giving each renko brick its own sequential number starting from when the indicator begins running. This makes it easy to reference specific bricks in your analysis or when discussing patterns with others. The internal index increments only when a brick closes, so it's a pure measure of how many bricks have formed regardless of how much chart time has passed. You can match these indices between the visual bricks and the log entries, which helps when you're trying to track down the details of a specific brick that caught your attention.
Brick overshoot handling ensures that when price blows through the threshold level instead of just barely touching it, the brick closes at the threshold and the excess movement carries over to the next brick. This prevents gaps in the renko sequence and maintains the integrity of the brick sizing. If price shoots up through your bullish threshold and keeps going, the current brick closes at exactly the threshold level and the new brick opens there with the overshoot already baked into its initial high. Without this logic, you'd get renko bricks with irregular sizes whenever price moved aggressively, which would undermine the whole point of using fixed-range bricks.
The timezone setting lets you adjust timestamps to your local time or whatever reference you prefer, which matters when you're analyzing logs or comparing brick formation times across different sessions. The time delta formatter converts raw milliseconds into human-readable strings showing days, hours, minutes, and seconds with fractional precision. This makes it immediately clear whether a brick took 12.3 seconds or 2 minutes and 15 seconds to form, without having to parse millisecond values mentally.
This is the script version that will eventually be integrated into my real-time candles library. The library version had an issue with tooltips not displaying correctly, which this implementation fixes by using a different approach to label creation and positioning. Running it as a standalone indicator also gives you more control over the visual settings and makes it easier to experiment with different brick sizing methods without affecting other tools that might be using the library version.
What this really demonstrates is that real-time indicators in Pine Script require thinking about state management and tick processing differently than historical indicators. Most indicator code assumes bars are immutable once closed, so you can reference `close ` and know that value will never change. Real-time renko throws that assumption out because the current brick is constantly mutating with every tick until it closes. Using varip for state variables and carefully tracking what belongs to finalized bricks versus the developing brick makes it possible to maintain consistency while still updating smoothly in real-time. The fact that there's no historical reconstruction and everything starts fresh when you load it is actually a feature, not a limitation, because you're seeing genuine real-time brick formation rather than some approximation of what might have happened in the past.
M2025Overview
We Provide you a custom made model called M2025
M2025 works based on some well-known fundamentals of trading, here are the filters/checks we used in this script:
MTF Support/Resistance (Based on RSI)
Liquidity Levels
Displacement/FVG
Support/Resistance (Based on RSI)
support and resistance are key concepts used to identify potential turning points in the market.
Support is a price level where demand is strong enough to prevent the price from falling further — it acts as a “floor.”
Resistance is a level where selling pressure tends to stop the price from rising — it acts as a “ceiling.”
Support and resistance help traders identify entry points, exit targets, and stop-loss areas, and are essential tools for understanding market structure and trend strength.
In M2025 , Support and Resistance are identified based on pivot high and pivot low found with RSI values.
Liquidity Levels
liquidity levels are price areas where a large number of buy or sell orders are clustered. These zones often form around swing highs, swing lows, support, and resistance levels, where many traders place stop-loss or pending orders.
Fair Value Gap
an FVG (Fair Value Gap) refers to an imbalance or “gap” in price action that occurs when the market moves too quickly in one direction, leaving little to no trading activity between certain price levels. This gap represents an area where buy and sell orders were not efficiently matched, creating an inefficiency in the market.
Traders often expect price to return to these zones later to “fill” the gap, restoring balance and are used to identify potential retracement zones.
How it works
This Model 2025 mainly works in 4 steps using all the techniques mentioned above.
Bullish Setup
Step 1 : Market is in Bullish Zone
Step 2 : Market Breaks the Buy Side Liquidity
Step 3 : Market Makes FVG while moving up before breaking the SSL
Step 4 : Market Breaks the Sell Side Liquidity within the Window Range
Bearish Setup
Step 1 : Market is in Bearish Zone
Step 2 : Market Breaks the Sell Side Liquidity
Step 3 : Market Makes FVG while moving down before breaking the BSL
Step 4 : Market Breaks the Buy Side Liquidity within the Window Range
Conclusion
M2025 works using well known trading techniques but the innovation in that is using them as steps and triggers which stimulate the real trading methods of many trades around the world. This is just an idea which we wanted to share with this great community of ours, thus this indicator is a tool for technical analysis and it should not be the sole basis for trading decisions for anyone out there. No indicator is perfect hence depending on one is not recommended.
Daily High/Low - Karan OberoiDaily High/Low - Karan Oberoi
This indicator automatically plots each day’s intraday high and low levels as horizontal lines on your chart — just like institutional traders mark daily ranges for precision trading.
- No rays or extensions – each line is drawn only across that day’s bars, keeping the chart clean and uncluttered.
- Auto-updates in real time – lines adjust dynamically as new highs or lows form throughout the trading day.
- Daily reset – when a new trading day begins, the previous day’s lines are locked in place and new ones start automatically.
- Customizable styling – choose colors, line styles (solid/dashed/dotted), and thickness to match your chart theme.
- Performance-safe – automatically deletes older lines beyond your chosen lookback period to avoid reaching TradingView’s line limit.
This is perfect for traders who rely on daily range analysis, liquidity sweeps, or intraday reversals — giving you clear, visual reference points of where price previously reached its extremes each session.
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AUTOMATIC ANALYSIS MODULE🧭 Overview
“Automatic Analysis Module” is a professional, multi-indicator system that interprets market conditions in real time using TSI, RSI, and ATR metrics.
It automatically detects trend reversals, volatility compressions, and momentum exhaustion, helping traders identify high-probability setups without manual analysis.
⚙️ Core Logic
The script continuously evaluates:
TSI (True Strength Index) → trend direction, strength, and early reversal zones.
RSI (Relative Strength Index) → momentum extremes and technical divergences.
ATR (Average True Range) → volatility expansion or compression phases.
Multi-timeframe ATR comparison → detects whether the weekly structure supports or contradicts the local move.
The system combines these signals to produce an automatic interpretation displayed directly on the chart.
📊 Interpretation Table
At every new bar close, the indicator updates a compact dashboard (bottom right corner) showing:
🔵 Main interpretation → trend, reversal, exhaustion, or trap scenario.
🟢 Micro ATR context → volatility check and flow analysis (stable / expanding / contracting).
Each condition is expressed in plain English for quick decision-making — ideal for professional traders who manage multiple charts.
📈 How to Use
1️⃣ Load the indicator on your preferred asset and timeframe (recommended: Daily or 4H).
2️⃣ Watch the blue line message for the main trend interpretation.
3️⃣ Use the green line message as a volatility gauge before entering.
4️⃣ Confirm entries with your own strategy or price structure.
Typical examples:
“Possible bullish reversal” → early accumulation signal.
“Compression phase → wait for breakout” → avoid premature trades.
“Confirmed uptrend” → trend continuation zone.
⚡ Key Features
Real-time auto-interpretation of TSI/RSI/ATR signals.
Detects both bull/bear traps and trend exhaustion zones.
Highlights volatility transitions before breakouts occur.
Works across all assets and timeframes.
No repainting — stable on historical data.
✅ Ideal For
Swing traders, position traders, and institutional analysts who want automated context recognition instead of manual indicator reading.