Ichimoku ++ public v0.9Description:
The intention of this script is to build/provide a kind of work station / work bench for analysing markets and especially Bitcoin . Another goal is to get maximum market information while maintaining a good chart overview. A chart overloaded with indicators is useless because it obscures the view of the chart as the most important indicator. The chart should be clear and market structure should be easy to see. In addition, some indicator signals can be activated to better assess the quality of signals from the past. The chart environment or the chart context is important for the quality of a signal.
The intention of this script is not to teach someone how to trade or how to use these Indicators but to provide a tool to analyse markets better and to help to draw conclusions of market behaviour in a higher quality.
A general advise:
Use the included indicators and signals in a confluent way to get stoploss, buy and sell entry points. SR clusters can be identified for use in conjunction with fractals as entry and exit pints. My other scripts can also help. Prefer 4 hours, daily and a longer time frame. There is no "Holy Grail" :).
If someone is new to trading you should learn about the indicators first. Definitely learn about Ichimoku Cloud Indicator.
Integrated indicators are:
Ichimoku Cloud and signals
Parabolic SAR and signal
ATR stop
Bollinger Bands
EMA / SMA and background color as signal
Williams Fractals and signal
Puell Multiple signal
Search in scripts for "market structure"
Trend is your friendThis indicator evaluates the trend based on crosses of two McGinley moving averages. It paints candles accordingly (it does not repaint), so you can see what the indicator is saying more clearly and stay in your trade until you see a period of consolidation or a reversal. You can control how far away those moving averages need to be for you to consider it a trend. If this distance is not met candles color is not changed and it shows you that the market is in a period of consolidation. I also added visualization of RSI, so you can have an easier time finding appropriate profit targets. For stop loss I would recommend placing it a couple points above or below the previous high / low that is located above / below you final target for entry. You can also use a certain percentage that works for you. I tried adding a stop loss based on ATR, but I did not like the results. Using market structure is a better choice in my opinion.
Here is a basic trading strategy for the default settings:
Wait for the indicator to start printing a series of green or red candles. After that you can enter a long or a short around moving averages. Another valid place to entry is the specific RSI zone. If we are in an uptrend buying when RSI is oversold can be beneficial as you expect market to recover. I do not recommend changing RSI from 14. Vice versa for the downtrend. It gives you an edge as you know at what price RSI will be oversold and allows you to place trades in advance. Pretty neat! You need to realize that no indicator or strategy can give you an exact entry. There will always be some margin of error. What I wanted to say is that if there is a strong trend up and you buy around your key moving averages and when RSI is oversold you entered in good places and there is a pretty good chance you will make money.
Time frame settings:
If you want to use tighter stop losses I would recommend sticking to 15m. Do not go lower. It is not worth the stress. 1h and 4h seems to be very good as well, but expect your stop losses to be wider. What I personally tend to do is display 15m, 30m and 1h and compare it. Think of it as a short, mid and long term. That way you can see things little bit better.
Examples:
1H chart BTC
4h chart EUR / USD
1D chart NASDAQ
15m chart BTC (Daytrading)
That last chart shows that even if you were longing while the trend was about to change you still had a good chance to close it with a little profit and switch to short easily. The default settings is what has worked the best for me. Feel free to change them as you see fit and do not forget to let me know if you find something that works better :)
Notes:
Either disable wick display or change it to a neutral color like gray for both green and red candles. Unfortunately pine script does not allow wick painting, so if you have red / green wicks it will look terrible. If RSI visualization makes your candles look too small you can go to settings and disable the display of individual RSI levels. You will still be able to see the zones, but the scale won't be affected.
Ichimoku-Hausky_v2.1Made a little update to my trading system. This system is made so that you can easily follow the trend and know when to get out. You still have to know basic market structure to find a good entry.
NB!! I see that i placed the entry wrong on the example, you have too wait for the EMA to go below the MA :)
I have posted the right one at the bottom.
Take profit can be set at last low or you can use trail stop on the EMA, MA, Kijun-sen or Tenkan-sen.
Example rules:
Buy:
IF Market is in a trend or are possibly close to break out of range
THEN see if price has closed above cloud
IF price has closed above cloud
THEN see if EMA has crossed above MA
IF EMA has crossed above MA
THEN buy or wait for pullback
Sell:
IF Market is in a trend or are possibly close to break out of range
THEN see if price has closed below cloud
IF price has closed below cloud
THEN see if EMA has crossed below MA
IF EMA has crossed below MA
THEN buy or wait for pullback
Keks Key Level Fx SessionsThis script is designed to automatically plot and manage key levels for the major FX trading sessions (London, New York, and Asia). It helps traders identify the most relevant price areas that often act as support, resistance, or breakout zones during active market hours.
Key features:
Marks session highs, lows, and midpoints
Visualizes key intraday levels for better market structure analysis
Highlights potential breakout and retest areas
Works across multiple timeframes for flexibility
Clean and minimal chart design to avoid clutter
This tool is especially useful for traders who rely on session-based strategies, such as breakout trading, retests, or range trading, by providing a clear visual guide to the most important price zones.
Price Action [BreakOut] InternalKey Features and Functionality
Support & Resistance (S/R): The script automatically identifies and draws support and resistance lines based on a user-defined "swing period." These lines are drawn from recent pivot points, and users can customize their appearance, including color, line style (solid, dashed, dotted), and extension (left, right, or both). The indicator can also display the exact price of each S/R level.
Trendlines: It draws trendlines connecting pivot highs and pivot lows. This feature helps visualize the current trend direction. Users can choose to show only the newest trendlines, customize their length and style, and select the source for the pivot points (e.g., candle close or high/low shadow).
Price Action Pivots: This is a core component that identifies and labels different types of pivots based on price action: Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL). These pivots are crucial for understanding market structure and identifying potential trend changes. The script marks these pivots with shapes and can display their price values.
Fractal Breakouts: The script identifies and signals "fractal breakouts" and "breakdowns" when the price closes above a recent high pivot or below a recent low pivot, respectively. These signals are visually represented with up (⬆) and down (⬇) arrow symbols on the chart.
Customization and Alerts: The indicator is highly customizable. You can toggle on/off various features (S/R, trendlines, pivots, etc.), adjust colors, line styles, and text sizes. It also includes an extensive list of alert conditions, allowing traders to receive notifications for:
Price Crossovers: When the close price crosses over or under a support or resistance level.
Trendline Breaks: When the price breaks above an upper trendline or below a lower trendline.
Fractal Breaks: When a fractal breakout or breakdown occurs.
BTC Macro Composite Global liquidity Index -OffsetThis indicator is based on the thesis that Bitcoin price movements are heavily influenced by macro liquidity trends. It calculates a weighted composite index based on the following components:
• Global Liquidity (41%): Sum of central bank balance sheets (Fed , ECB , BoJ , and PBoC ), adjusted to USD.
• Investor Risk Appetite (22%): Derived from the Copper/Gold ratio, inverse VIX (as a risk-on signal), and the spread between High Yield and Investment Grade bonds (HY vs IG OAS).
• Gold Sensitivity (15–20%): Combines the XAUUSD price with BTC/Gold ratio to reflect the historical influence of gold on Bitcoin pricing.
Each component is normalized and then offset forward by 90 days to attempt predictive alignment with Bitcoin’s price.
The goal is to identify macro inflection points with high predictive value for BTC. It is not a trading signal generator but rather a macro trend context indicator.
❗ Important: This script should be used with caution. It does not account for geopolitical shocks, regulatory events, or internal BTC market structure (e.g., miner behavior, on-chain metrics).
💡 How to use:
• Use on the 1D timeframe.
• Look for divergences between BTC price and the macro index.
• Apply in confluence with other technical or fundamental frameworks.
🔍 Originality:
While similar components exist in macro dashboards, this script combines them uniquely using time-forward offsets and custom weighting specifically tailored for BTC behavior.
B@dshah Indicator🚀 Advanced Multi-Indicator Trading System
A comprehensive trading indicator that combines multiple technical analysis tools for high-probability signal generation:
📊 CORE FEATURES:
- EMA Trend Analysis (Fast/Slow crossovers)
- RSI Momentum Detection
- MACD Signal Confirmation
- Bollinger Bands (Squeeze & Mean Reversion)
- Fibonacci Retracement Levels
- Volume & ATR Filtering
- Multi-Confluence Scoring System (0-10 scale)
🎯 SIGNAL QUALITY:
- Non-repainting signals (confirmed at bar close)
- Minimum 60% strength threshold for trades
- Dynamic TP/SL based on market structure
- Real-time win rate tracking
- Signal strength percentage display
⚙️ UNIQUE FEATURES:
- BB Squeeze detection for volatility breakouts
- Fibonacci level confluence analysis
- Smart position sizing recommendations
- Visual TP/SL lines with outcome tracking
- Comprehensive statistics table
🔔 ALERTS INCLUDED:
- Buy/Sell signals with strength ratings
- TP/SL hit notifications
- BB squeeze/expansion alerts
- Fibonacci level touches
Best used on 1H+ timeframes for optimal results.
Perfect for swing trading and position entries.
Extreme Zone Volume ProfileExtreme Zone Volume Profile (EZVP)
Originality & Innovation
The Extreme Zone Volume Profile (EZVP) revolutionizes traditional volume profile analysis by applying statistical zone classification to volume distribution. Unlike standard volume profiles that display raw volume data, EZVP segments the price range into statistically meaningful zones based on percentile thresholds, allowing traders to instantly identify where volume concentration suggests strong support/resistance versus areas of potential breakout.
Technical Methodology
Core Algorithm:
Distributes volume across user-defined bins (20-200) over a lookback period
Calculates volume-weighted price levels for each bin
Applies percentile-based zone classification to the price range (not volume ranking)
Zone B (extreme zones): Outer percentile tails representing potential rejection areas
Zone A (significant zones): Secondary percentile bands indicating strong interest levels
Center Zone: Bulk trading range where most price discovery occurs
Mathematical Foundation:
The script uses price-range percentiles rather than volume percentiles. If the total price range is divided into 100%, Zone B captures the extreme price tails (default 2.5% each end ≈ 2 standard deviations), Zone A captures the next significant bands (default 14% each ≈ 1 standard deviation), leaving the center for normal distribution trading.
Key Calculations:
POC (Point of Control): Price level with maximum volume accumulation
Volume-weighted mean price: Total volume × price / total volume
Median price: Geometric center of the price range
Rightward-projected bars: Volume bars extend forward from current time to avoid historical chart clutter
Trading Applications
Zone Interpretation:
Zone B (Red/Green): Extreme price levels where volume suggests strong rejection potential. Price reaching these zones often indicates overextension and possible reversal points.
Zone A (Orange/Teal): Significant support/resistance areas with substantial volume interest. These levels often act as intermediate targets or consolidation zones.
Center (Gray): Fair value area where most trading occurs. Price tends to return to this range during normal market conditions.
Strategic Usage:
Reversal Trading: Look for rejection signals when price enters Zone B areas
Breakout Confirmation: Volume expansion beyond Zone B boundaries suggests genuine breakouts
Support/Resistance: Zone A boundaries often provide reliable entry/exit levels
Mean Reversion: Price tends to gravitate toward the volume-weighted mean and POC lines
Unique Value Proposition
EZVP addresses three key limitations of traditional volume profiles:
Visual Clarity: Standard profiles can be cluttered and difficult to interpret quickly. EZVP's color-coded zones provide instant visual feedback about price significance.
Statistical Framework: Rather than relying on subjective interpretation of volume nodes, EZVP applies objective percentile-based classification, making support/resistance identification more systematic.
Forward-Looking Display: Rightward-projecting bars keep historical price action clean while maintaining current market structure visibility.
Configuration Guide
Lookback Period (10-1000): Controls the historical depth of volume calculation. Shorter periods for intraday scalping, longer for swing trading.
Number of Bins (20-200): Resolution of volume distribution. Higher values provide more granular analysis but may create noise on lower timeframes.
Zone Percentages:
Zone B: Extreme threshold (default 2.5% = ~2σ statistical significance)
Zone A: Significant threshold (default 14% = ~1σ statistical significance)
Visual Controls: Toggle individual elements (POC, median, mean, zone lines) to customize display complexity for your trading style.
Technical Requirements
Pine Script v6 compatible
Maximum bars back: 5000 (ensures sufficient historical data)
Maximum boxes: 500 (supports high-resolution bin counts)
Maximum lines: 50 (accommodates all zone and reference lines)
This indicator synthesizes volume profile theory with statistical zone analysis, providing a quantitative framework for identifying high-probability support/resistance levels based on volume distribution patterns rather than arbitrary price levels.
Swing Highs/Lows & Candle Patterns[LuxAlgo] [Filtered]Swing Highs/Lows & Candle Patterns - Tweaked Version
This indicator is a customized and enhanced version of LuxAlgo’s original Swing Highs/Lows & Candle Patterns indicator. It identifies and labels critical swing high and swing low points to help visualize market structure, alongside detecting key reversal candlestick patterns such as Hammer, Inverted Hammer, Bullish Engulfing, Hanging Man, Shooting Star, and Bearish Engulfing.
With added options to selectively display only Lower Highs (LH) and Higher Lows (HL), this tweaked version offers greater flexibility for traders focusing on specific market dynamics. Users can also customize the lookback length and label styling to fit their preferences.
Credit to LuxAlgo for the original concept and foundation of this powerful tool, which this script builds upon to support more tailored technical analysis. Ideal for swing traders and technical analysts seeking improved entry and exit signals through a combination of price swings and candlestick pattern recognition.
MTF Last Closed Highs & LowsThis indicator plots the most recent closed high and low levels from multiple timeframes (4H, Daily, Weekly, Monthly, etc.) directly on your chart. It helps traders quickly spot key support and resistance zones, track market structure across different timeframes, and identify breakout or reversal opportunities.
HorizonSigma Pro [CHE]HorizonSigma Pro
Disclaimer
Not every timeframe will yield good results . Very short charts are dominated by microstructure noise, spreads, and slippage; signals can flip and the tradable edge shrinks after costs. Very high timeframes adapt more slowly, provide fewer samples, and can lag regime shifts. When you change timeframe, you also change the ratios between horizon, lookbacks, and correlation windows—what works on M5 won’t automatically hold on H1 or D1. Liquidity, session effects (overnight gaps, news bursts), and volatility do not scale linearly with time. Always validate per symbol and timeframe, then retune horizon, z-length, correlation window, and either the neutral band or the z-threshold. On fast charts, “components” mode adapts quicker; on slower charts, “super” reduces noise. Keep prior-shift and calibration enabled, monitor Hit Rate with its confidence interval and the Brier score, and execute only on confirmed (closed-bar) values.
For example, what do “UP 61%” and “DOWN 21%” mean?
“UP 61%” is the model’s estimated probability that the close will be higher after your selected horizon—directional probability, not a price target or profit guarantee. “DOWN 21%” still reports the probability of up; here it’s 21%, which implies 79% for down (a short bias). The label switches to “DOWN” because the probability falls below your short threshold. With a neutral-band policy, for example ±7%, signals are: Long above 57%, Short below 43%, Neutral in between. In z-score mode, fixed z-cutoffs drive the call instead of percentages. The arrow length on the chart is an ATR-scaled projection to visualize reach; treat it as guidance, not a promise.
Part 1 — Scientific description
Objective.
The indicator estimates the probability that price will be higher after a user-defined horizon (a chosen number of bars) and emits long, short, or neutral decisions under explicit thresholds. It combines multi‑feature, z‑normalized inputs, adaptive correlation‑based weighting, a prior‑shifted sigmoid mapping, optional rolling probability calibration, and repaint‑safe confirmation. It also visualizes an ATR‑scaled forward projection and prints a compact statistics panel.
Data and labeling.
For each bar, the target label is whether price increased over the past chosen horizon. Learning is deliberately backward‑looking to avoid look‑ahead: features are associated with outcomes that are only known after that horizon has elapsed.
Feature engineering.
The feature set includes momentum, RSI, stochastic %K, MACD histogram slope, a normalized EMA(20/50) trend spread, ATR as a share of price, Bollinger Band width, and volume normalized by its moving average. All features are standardized over rolling windows. A compressed “super‑feature” is available that aggregates core trend and momentum components while penalizing excessive width (volatility). Users can switch between a “components” mode (weighted sum of individual features) and a “super” mode (single compressed driver).
Weighting and learning.
Weights are the rolling correlations between features (evaluated one horizon ago) and realized directional outcomes, smoothed by an EMA and optionally clamped to a bounded range to stabilize outliers. This produces an adaptive, regime‑aware weighting without explicit machine‑learning libraries.
Scoring and probability mapping.
The raw score is either the weighted component sum or the weighted super‑feature. The score is standardized again and passed through a sigmoid whose steepness is user‑controlled. A “prior shift” moves the sigmoid’s midpoint to the current base rate of up moves, estimated over the evaluation window, so that probabilities remain well‑calibrated when markets drift bullish or bearish. Probabilities and standardized scores are EMA‑smoothed for stability.
Decision policy.
Two modes are supported:
- Neutral band: go long if the probability is above one half plus a user‑set band; go short if it is below one half minus that band; otherwise stay neutral.
- Z‑score thresholds: use symmetric positive/negative cutoffs on the standardized score to trigger long/short.
Repaint protection.
All values used for decisions can be locked to confirmed (closed) bars. Intrabar updates are available as a preview, but confirmed values drive evaluation and stats.
Calibration.
An optional rolling linear calibration maps past confirmed probabilities to realized outcomes over the evaluation window. The mapping is clipped to the unit interval and can be injected back into the decision logic if desired. This improves reliability (probabilities that “mean what they say”) without necessarily improving raw separability.
Evaluation metrics.
The table reports: hit rate on signaled bars; a Wilson confidence interval for that hit rate at a chosen confidence level; Brier score as a measure of probability accuracy; counts of long/short trades; average realized return by side; profit factor; net return; and exposure (signal density). All are computed on rolling windows consistent with the learning scheme.
Visualization.
On the chart, an arrowed projection shows the predicted direction from the current bar to the chosen horizon, with magnitude scaled by ATR (optionally scaled by the square‑root of the horizon). Labels display either the decision probability or the standardized score. Neutral states can display a configurable icon for immediate recognition.
Computational properties.
The design relies on rolling means, standard deviations, correlations, and EMAs. Per‑bar cost is constant with respect to history length, and memory is constant per tracked series. Graphical objects are updated in place to obey platform limits.
Assumptions and limitations.
The method is correlation‑based and will adapt after regime changes, not before them. Calibration improves probability reliability but not necessarily ranking power. Intrabar previews are non‑binding and should not be evaluated as historical performance.
Part 2 — Trader‑facing description
What it does.
This tool tells you how likely price is to be higher after your chosen number of bars and converts that into Long / Short / Neutral calls. It learns, in real time, which components—momentum, trend, volatility, breadth, and volume—matter now, adjusts their weights, and shows you a probability line plus a forward arrow scaled by volatility.
How to set it up.
1) Choose your horizon. Intraday scalps: 5–10 bars. Swings: 10–30 bars. The default of 14 bars is a balanced starting point.
2) Pick a feature mode.
- components: granular and fast to adapt when leadership rotates between signals.
- super: cleaner single driver; less noise, slightly slower to react.
3) Decide how signals are triggered.
- Neutral band (probability based): intuitive and easy to tune. Widen the band for fewer, higher‑quality trades; tighten to catch more moves.
- Z‑score thresholds: consistent numeric cutoffs that ignore base‑rate drift.
4) Keep reliability helpers on. Leave prior shift and calibration enabled to stabilize probabilities across bullish/bearish regimes.
5) Smoothing. A short EMA on the probability or score reduces whipsaws while preserving turns.
6) Overlay. The arrow shows the call and a volatility‑scaled reach for the next horizon. Treat it as guidance, not a promise.
Reading the stats table.
- Hit Rate with a confidence interval: your recent accuracy with an uncertainty range; trust the range, not only the point.
- Brier Score: lower is better; it checks whether a stated “70%” really behaves like 70% over time.
- Profit Factor, Net Return, Exposure: quick triage of tradability and signal density.
- Average Return by Side: sanity‑check that the long and short calls each pull their weight.
Typical adjustments.
- Too many trades? Increase the neutral band or raise the z‑threshold.
- Missing the move? Tighten the band, or switch to components mode to react faster.
- Choppy timeframe? Lengthen the z‑score and correlation windows; keep calibration on.
- Volatility regime change? Revisit the ATR multiplier and enable square‑root scaling of horizon.
Execution and risk.
- Size positions by volatility (ATR‑based sizing works well).
- Enter on confirmed values; use intrabar previews only as early signals.
- Combine with your market structure (levels, liquidity zones). This model is statistical, not clairvoyant.
What it is not.
Not a black‑box machine‑learning model. It is transparent, correlation‑weighted technical analysis with strong attention to probability reliability and repaint safety.
Suggested defaults (robust starting point).
- Horizon 14; components mode; weight EMA 10; correlation window 500; z‑length 200.
- Neutral band around seven percentage points, or z‑threshold around one‑third of a standard deviation.
- Prior shift ON, Calibration ON, Use calibrated for decisions OFF to start.
- ATR multiplier 1.0; square‑root horizon scaling ON; EMA smoothing 3.
- Confidence setting equivalent to about 95%.
Disclaimer
No indicator guarantees profits. HorizonSigma Pro is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
Multi HTF High/Low LevelsThis indicator plots the previous high and low from up to four user-defined higher timeframes (HTF), providing crucial levels of support and resistance. It's designed to be both powerful and clean, giving you a clear view of the market structure from multiple perspectives without cluttering your chart.
Key Features:
Four Customizable Timeframes: Configure up to four distinct higher timeframes (e.g., 1-hour, 4-hour, Daily, Weekly) to see the levels that matter most to your trading style.
Automatic Visibility: The indicator is smart. It automatically hides levels from any timeframe that is lower than your current chart's timeframe. For example, if you're viewing a Daily chart, the 4-hour levels won't be shown.
Clean On-Chart Lines: The high and low for each timeframe are displayed as clean, extended horizontal lines, but only for the duration of the current higher-timeframe period. This keeps your historical chart clean while still showing the most relevant current levels.
Persistent Price Scale Labels: For easy reference, the price of each high and low is always visible on the price scale and in the data window. This is achieved with an invisible plot, giving you the accessibility of a plot without the visual noise.
How to Use:
Go into the indicator settings.
Under each "Timeframe" group, check the "Show" box to enable that specific timeframe.
Select your desired timeframe from the dropdown menu.
The indicator will automatically calculate and display the previous high and low for each enabled timeframe.
NQ FVG + MSS ChecklistThe NQ FVG + MSS Quick Checklist is a simple yet powerful visual tool for traders focusing on the Nasdaq 100 (NQ) futures. It provides a step-by-step checklist to assess trade setups based on key market concepts like Fair Value Gaps (FVG), Market Structure Shifts (MSS), session highs/lows, and previous day levels.
This indicator helps you quickly see which elements of your trading plan are met before entering a trade. Each checklist item can be manually toggled, and a cumulative Trade Score provides a quick visual guide to setup strength.
Key Features:
Step-by-step checklist for NQ trading setups
Track levels: Session highs/lows & Previous Day High/Low
Spot 5M FVG and Retests
Identify MSS on 1M and find 1M FVG inside MSS
Manual SL & TP guidance
Trade Score for quick setup strength assessment
Fully visible table overlay on top of the chart
How to Use:
Mark session & previous day levels
Observe reaction at key levels (Sweep or Continue)
Identify 5M FVG and any retests
Spot 1M MSS and 1M FVG inside MSS
Set SL/TP based on FVG extremes and next session levels
Check the cumulative Trade Score for setup confirmation
Note: This indicator is manual input-based, letting traders tick off items as they analyze the chart, making it a lightweight trading checklist HUD that stays on top of all chart elements.
SCTI-D1SCTI-D1 Indicator Introduction / 指标简介
The SCTI-D1 (Smart Composite Trading Indicator - Daily) is a comprehensive, multi-feature trading tool designed for serious traders who demand depth, flexibility, and clarity in their market analysis. This indicator combines several powerful concepts into one seamless workflow, including:
Multiple EMA Systems with customizable lengths and visibility
PMA (Projected Moving Average) with fill options between lines
VWAP with configurable anchors and deviation bands
Divergence Detection for MACD and Histogram
Volume Profile with node detection (peaks, troughs, highs, lows)
Smart Money Concepts including order blocks, fair value gaps, equal highs/lows, and market structure shifts
Whether you trade stocks, forex, or cryptocurrencies, the SCTI-D1 helps you identify key levels, track institutional activity, and spot high-probability reversal signals—all in one clean, customizable interface.
SCTI-D1 指标简介
SCTI-D1(智能综合交易指标 - 日线版)是一款功能全面的交易工具,专为需要深度、灵活性和清晰市场分析的专业交易者设计。该指标将多种强大概念融合在一个流畅的工作流程中,包括:
多组EMA系统,可自定义长度和显示
PMA(投影移动平均线),支持均线间填充色
VWAP,可配置锚定周期和偏差带
背离检测,支持MACD和柱状图
成交量分布,支持节点检测(峰值、谷值、最高、最低)
聪明钱概念,包括订单块、公允价值缺口、等高/等低和市场结构转换
无论您交易股票、外汇还是加密货币,SCTI-D1 都能帮助您识别关键水平、跟踪机构资金动向并发现高概率反转信号——所有功能均集成在一个清晰可定制的界面中。
HH&LL / MSS Detector [Tek Tek Teknik Analiz]This indicator provides a safe trading opportunity by drawing Market Structure Shift levels to determine the direction of the market after capturing the peaks and valleys in the price flow.
Weekly High/Low Day StatsThis TradingView Pine Script (v5) analyzes weekly highs and lows to identify on which day of the week (Monday → Friday) they most frequently occur.
🔎 How it works:
Tracks the weekly highest high and lowest low.
At the end of each week, it records the day of the week when the high and low were set.
Keeps historical data for the last 100 weeks (adjustable).
Displays a table showing:
How many times each day marked the weekly high or weekly low.
The corresponding percentage distribution.
🎯 Use case:
Helps traders understand the weekly timing tendency
Reveals which day is statistically more likely to set the weekly high or weekly low.
Useful for weekly planning and strategies that rely on market structure and timing (e.g., ICT concepts like the "High/Low of the Week").
Trendlines Oscillator [LuxAlgo]The Trendlines Oscillator helps traders identify trends and momentum based on the normalized distances between the current price and the most recently detected bullish and bearish trend lines.
The indicator features bullish and bearish momentum, a signal line with crossings, and multiple smoothing options.
🔶 USAGE
The indicator displays three lines: two for momentum and one for the signal. When one of the momentum lines (bullish or bearish) crosses the signal line, the tool displays a dot to indicate which momentum is gaining strength.
As a general rule, when the green bullish momentum line is above the red bearish momentum line, it indicates buyer strength. This means that the actual prices are farther from the support trend lines than the resistance trend lines. The opposite is true for seller strength.
To calculate bullish momentum, the tool first identifies bullish trend lines acting as support below the price. Then, it measures the delta between the price and those trend lines and normalizes the reading into the displayed momentum values.
The same process is used for bearish momentum, but with bearish trendlines acting as resistance above the price.
🔹 Length & Memory
Modifying the Length and Memory values will cause the tool to display different momentum values.
Traders can adjust the length to detect larger trendlines and adjust the memory to indicate how many trendlines the tool should consider.
As the chart above shows, smaller values make the tool more responsive, while larger values are useful for detecting larger trends.
🔹 Smoothing
By default, the data is not smoothed, and the signal uses a triangular moving average with a length of 10. Traders can smooth both the data and the signal line.
Traders can choose from up to ten different methods, or none. Some examples are shown on the chart above.
🔶 DETAILS
The steps for the calculations are as follows:
1. Gather the pivots, highs, and lows.
ph = fixnan(ta.pivothigh(lengthInput, lengthInput))
pl = fixnan(ta.pivotlow(lengthInput, lengthInput))
2. Calculate the slope and y-intercept for each trendline between contiguous lower highs (resistance) or higher lows (support).
if ph < ph
slope = (ph - ph )/(n-lengthInput - phx1)
res.unshift(l.new(ph - slope * phx1, slope))
if pl > pl
slope = (pl - pl )/(n-lengthInput - plx1)
sup.unshift(l.new(pl - slope * plx1, slope))
3. Calculate the value of each trendline on the current bar, then calculate the difference with the current price (delta). To calculate the relative sum of deltas, only consider trendlines below the price for support or above the price for resistance.
method get_point(l id, x)=>
id.slope * x + id.intercept
for element in sup
point = element.get_point(n)
if sourceInput > point
sup_sum += sourceInput - point
sup_den += math.abs(sourceInput - point)
for element in res
point = element.get_point(n)
if sourceInput < point
res_sum += point - sourceInput
res_den += math.abs(point - sourceInput)
4. Normalize the value from 0 to 100 by taking the sum of the relative values of the deltas divided by the sum of the absolute values of the deltas.
float supportLine = sup_sum / sup_den * 100
float resistanceLine = res_sum / res_den * 100
5. Smooth both values, then calculate the signal line as the difference between them.
float smoothSupport = smooth(supportLine,dataSmoothingInput,dataSmoothingLengthInput)
float smoothResistance = smooth(resistanceLine,dataSmoothingInput,dataSmoothingLengthInput)
float signal = math.abs(smoothSupport - smoothResistance)
float signalLine = smooth(signal,smoothingInput,smoothingLengthInput)
6. Calculate the crossing signals against the signal line, using only the first signal from each series of bullish or bearish crossings.
bullSignal = smoothSupport > signalLine and smoothSupport < signalLine
bearSignal = smoothResistance > signalLine and smoothResistance < signalLine
lastSignal := bullSignal and lastSignal == BEAR ? BULL : bearSignal and lastSignal == BULL ? BEAR : lastSignal
firstBull = ta.change(lastSignal) > 0
firstBear = ta.change(lastSignal) < 0
🔶 SETTINGS
Length: The size of the market structure used for trendline detection.
Memory: The number of trendlines used in calculations.
Source: The source for the calculations is closing prices by default.
🔹 Smoothing
Data Smoothing: Choose the smoothing method and length
Signal Smoothing: Choose the smoothing method and length
[RealEdgeFX] - Manipulation CandleOverview
The Manipulation Candle indicator highlights potential liquidity grabs and false breakouts directly on the chart. It focuses on moments when price sweeps prior highs or lows but closes in the opposite direction, suggesting a possible manipulation before a market reversal.
Core Logic
The indicator compares the current candle against the previous one and colors the bar when specific conditions are met:
Sell Manipulation (dark red)
When the current candle breaks above the previous high but then closes below the prior low.
→ This often signals a stop hunt to the upside followed by bearish intent.
Buy Manipulation (light green)
When the current candle breaks below the previous low but then closes above the prior high.
→ This suggests a liquidity sweep to the downside before bullish continuation.
Neutral candles remain uncolored to avoid clutter and keep the focus on high-impact moments.
Design Approach
Clarity: Only the candles that meet strict criteria are marked, reducing noise.
Liquidity Focused : Built for traders who want to quickly spot manipulative price action.
Non-Repainting : Once a candle is identified as manipulation, the color stays fixed.
Usage
Add it as an overlay on your chart.
Watch for green or red manipulation candles as alerts of possible reversals or liquidity events.
Combine with your own market structure or bias tools to increase accuracy.
Transfer Function Filter [theUltimator5]The Transfer Function Filter is an engineering style approach to transform the price action on a chart into a frequency, then filter out unwanted signals using Butterworth-style filter approach.
This indicator allows you to analyze market structure by isolating or removing different frequency components of price movement—similar to how engineers filter signals in control systems and electrical circuits.
🔎 Features
Four Filter Types
1) Low Pass Filter – Smooths price data, highlighting long-term trends while filtering out short-term noise. This filter acts similar to an EMA, removing noisy signals, resulting in a smooth curve that follows the price of the stock relative to the filter cutoff settings.
Real world application for low pass filter - Used in power supplies to provide a clean, stable power level.
2) High Pass Filter – Removes slow-moving trends to emphasize short-term volatility and rapid fluctuations. The high pass filter removes the "DC" level of the chart, removing the average price moves and only outputting volatility.
Real world application for high pass filter - Used in audio equalizers to remove low-frequency noise (like rumble) while allowing higher frequencies to pass through, improving sound clarity.
3) Band Pass Filter – Allows signals to plot only within a band of bar ranges. This filter removes the low pass "DC" level and the high pass "high frequency noise spikes" and shows a signal that is effectively a smoothed volatility curve. This acts like a moving average for volatility.
Real world application for band pass filter - Radio stations only allow certain frequency bands so you can change your radio channel by switching which frequency band your filter is set to.
4) Band Stop Filter – Suppresses specific frequency bands (cycles between two cutoffs). This filter allows through the base price moving average, but keeps the high frequency volatility spikes. It allows you to filter out specific time interval price action.
Real world application for band stop filter - If there is prominent frequency signal in the area which can cause unnecessary noise in your system, a band stop filter can cancel out just that frequency so you get everything else
Configurable Parameters
• Cutoff Periods – Define the cycle lengths (in bars) to filter. This is a bit counter-intuitive with the numbering since the higher the bar count on the low-pass filter, the lower the frequency cutoff is. The opposite holds true for the high pass filter.
• Filter Order – Adjust steepness and responsiveness (higher order = sharper filtering, but with more delay).
• Overlay Option – Display Low Pass & Band Stop outputs directly on the price chart, or in a separate pane. This is enabled by default, plotting the filters that mimic moving averages directly onto the chart.
• Source Selection – Apply filters to close, open, high, low, or custom sources.
Histograms for Comparison
• BS–LP Histogram – Shows distance between Band Stop and Low Pass filters.
• BP–HP Histogram – Highlights differences between Band Pass and High Pass filters.
Histograms give the visualization of a pseudo-MACD style indicator
Visual & Informational Aids
• Customizable colors for each filter line.
• Optional zero-line for histogram reference.
• On-chart info table summarizing active filters, cutoff settings, histograms, and filter order.
📊 Use Cases
Trend Detection – Use the Low Pass filter to smooth noise and follow underlying market direction.
Volatility & Cycle Analysis – Apply High Pass or Band Pass to capture shorter-term patterns.
Noise Suppression – Deploy Band Stop to remove specific choppy frequencies.
Momentum Insight – Watch the histograms to spot divergences and relative filter strength.
DRKSCALPER Strategy"This indicator is designed to help traders identify market structure shifts, order blocks, and liquidity zones. It is useful for scalping and swing trading, and works on multiple timeframes."
liquidity reversalThis script detects liquidity sweeps and confirms reversals based on price action. It looks for:
- A sweep of a recent high or low
- A reversal candle closing back inside range
- (Optional) Confirmation via market structure break (MSB)
When confirmed, it plots:
- BUY signals after low sweep + bullish break
- SELL signals after high sweep + bearish break
Works on any timeframe. Designed for MNQ scalping during NY open.
FVG + Bank Level Targeting w/ Alert TriggerDescription:
FVG + Bank Level Targeting w/ Alert Trigger is an intraday trading tool that combines Fair Value Gap (FVG) detection with dynamic institutional targeting using prior-day, weekly, and monthly high/low "Bank Levels." When a Fair Value Gap is detected, the script projects a logical target using the closest bank level in price's direction, and visually extends that level on your chart.
This tool is designed to help traders anticipate where price is most likely to move after an FVG appears — and alert them when price breaks through key target zones.
How It Works:
* Bank Level Calculation:
The indicator calculates Daily, Weekly, and Monthly high and low levels from the previous bar of each respective timeframe.
These are optionally plotted on the chart with a slight tick offset to avoid overlap with price.
* FVG Detection:
Bullish FVGs are defined by a gap between the low of the current candle and the high two candles prior, with a confirming middle candle.
Bearish FVGs follow the reverse pattern.
Once detected, the script finds the nearest unbroken institutional level (Bank Level) in the direction of the FVG and anchors a target line at that price level.
* Target Line Projection:
The script draws a persistent horizontal line (not just a plotted value) at the selected bank level.
These lines automatically extend a set number of bars into the future for clarity and trade planning.
* Breakout Detection:
When price crosses above a Bull Target or below a Bear Target, the script triggers a breakout condition.
These breakouts are useful for trade continuation or reversal setups.
* Alerts:
Built-in alert conditions notify you in real time when price crosses above or below a target.
These can be used to set TradingView alerts for your preferred Futures symbols or intraday pairs.
Parameters:
Tick Offset Multiplier: Adds distance between price and plotted levels.
Show Daily/Weekly/Monthly Levels: Toggle for each institutional level group.
FVG Extend Right (bars): Controls how far the target lines extend into the future.
Color Controls: Customize colors for FVG fill and target lines.
Use Case:
This indicator is designed for traders who want to:
Trade continuation or reversal moves around institutional price zones
Integrate Fair Value Gap concepts with more logical, historically anchored price targets
Trigger alerts when market structure evolves around key levels
It is especially useful for intraday Futures traders on the 15-minute chart or lower, but adapts well to any instrument with strong reactionary behavior at prior session highs/lows.
EFXU Banker Level Price GridThe EFXU Banker Level Price Grid indicator draws fixed horizontal price levels at key whole-number intervals for Forex pairs, regardless of zoom level or timeframe. It’s designed for traders who want consistent visual reference points for major and minor price zones across all charts.
Features:
Major 1000-pip zones (bold lines) above and below a fixed origin price (auto-detects 1.00000 for non-JPY pairs and 100.000 for JPY pairs, or set manually).
500-pip median levels (dashed lines) between each major zone.
100-pip subdivisions (dotted lines) within each 1000-pip zone.
Adjustable number of zones above and below the origin.
Customizable colors, line widths, and label sizes.
Optional labels on the right edge for quick zone identification.
Works on all timeframes and stays visible regardless of zoom or price position.
Use case:
This tool is ideal for traders using institutional-level zones, psychological price levels, or “big money” areas for planning entries, exits, and risk management. Perfect for swing traders, position traders, and scalpers who rely on major pip milestones for market structure context.