V-Max: Tactical Clock & Price (Master Fit)Overview
The V-Max Tactical Clock & Price is a high-visibility utility dashboard engineered for precision execution in global financial markets. It serves as a "Physical Timezone Navigator," providing real-time price tracking and synchronized local time display directly on the chart. This ensures traders can align their execution with specific market openings and closing volatility regardless of the exchange's default timezone.
Core Technical Logic & Features
This script focuses on the physics of time-alignment and visual stability:
Physical Time Calibration Engine: Unlike standard UI clocks, this script employs a millisecond-level compensation engine using the formula: $timenow + (tz\_offset \times 60 \times 60 \times 1000)$. This allows for precise synchronization with any global market (e.g., London, New York, or Asia sessions).
Momentum-Driven Price Rendering: The price display utilizes conditional coloring logic ($close \ge open ? up\_col : dn\_col$) to provide immediate visual feedback on the current bar's momentum.
High-Identifiability UI (Master Fit): Leverages the table.new titan rendering engine with size.huge font specifications for the price. This ensures critical data remains readable even on small mobile screens or high-density multi-chart layouts.
Anti-Flicker Monospaced Formatting: Employs font.family_monospace to ensure strict numerical alignment, preventing visual flickering or "jumping" during periods of extreme market volatility.
How to Use
Timezone Setup: Enter your local GMT offset (e.g., +8 for Taiwan/Singapore, -5 for New York) in the settings.
Visual Customization: Adjust the dashboard position (default: Bottom Left) and background aesthetics to fit your professional trading workspace.
產品概述
V-Max 戰術時鐘與價格顯示器是一款為全球市場設計的高辨識度工具。它作為一個實時的「全球時區導航儀」，在圖表上直接提供實時價格追蹤與同步化的本地時間顯示，確保交易者能精確對齊各國市場開盤瞬間的波動。
核心技術邏輯與功能物理時間校準引擎：採用毫秒級時間補償運算，公式為：$timenow + (tz\_offset \times 60 \times 60 \times 1000)$。這讓交易者能精確校準全球任一交易所的本地時間。
動能價格渲染：價格顯示具備即時漲跌變色邏輯，提供直觀的即時盤感反饋。
特大字體 UI (Master Fit)：採用 size.huge 字體規格顯示價格，確保在移動端或複雜多圖表布局下依然清晰易讀。
防閃爍等寬格式：使用等寬字體確保數字在劇烈波動時不會產生視覺跳動，維持高度的讀數穩定性。
Access & Support
This script is published as a Free Public Utility in the TradingView Library. Disclaimer: For educational purposes only. Past performance does not guarantee future results.
Disclaimer: This script is for technical analysis and educational purposes only. It does not provide financial advice.
אינדיקטורים ואסטרטגיות
Execution-Weighted Market Regime Map (EWRM)Overview
The Execution-Weighted Market Regime Map is designed to answer a simple question:
“Is this market worth trading right now, or is it mostly noise and costs?”
Instead of focusing only on trend vs range, it evaluates whether conditions are likely to:
offer clean, follow-through price movement
chop back and forth
be dominated by costs like spread and slippage
It is meant for day traders and swing traders who want to choose when to trade, not just where to enter .
Core idea
Most indicators try to predict direction.
EWRM focuses on tradability.
It highlights:
when the market moves cleanly and is easier to execute
when volatility is unstable and unreliable
when “cost of trading” (spread and slippage) eats potential profit
The indicator shows this using:
a visual dashboard
background color changes
clear regime labels
Key concepts in plain language
SRR – Spread-to-Range Ratio
How big the trading costs are compared to how much price is moving.
High SRR = the market moves little but costs you a lot → bad environment.
Low SRR = price moves much more than it costs to trade → better environment.
PEI – Pullback Efficiency Index
Measures how “clean” trends are.
If pullbacks lead to smooth continuation, PEI is high.
If pullbacks constantly fail and reverse, PEI is low.
SRP – Slippage Risk Proxy
Estimates how likely you are to get worse fills than expected.
Fast spikes, thin liquidity zones, and whipsaw behavior increase SRP.
What EWRM helps you do
avoid overtrading during messy conditions
size up when conditions are smooth and directional
identify when volatility is expanding or collapsing
adapt behavior by time of day (open, midday, close)
How it works at a high level
It measures how much the market is moving
It checks whether volatility is stable or chaotic
It estimates how expensive and difficult execution is
It breaks the day into premarket, open, midday, and power hour
It combines all of this into an overall “regime” label
It colors the background or dashboard so you can read the state instantly
There are no buy/sell arrows. It is a decision-support tool, not a signal generator.
How to use it
trade more when conditions are clean and execution-friendly
stand aside when cost and noise dominate movement
prefer trend setups when trend regimes are detected
stay cautious when regime flips frequently
Think of it as a weather map for the market, not a GPS.
Inputs and parameters
Core settings
Realized Volatility Length – how fast the tool reacts to volatility changes
Volatility Stability Length – how stable/unstable volatility appears
ATR Length – used to scale and normalize movement
General Lookback – how much history is analyzed
Session settings
Premarket
Opening drive
Midday
Power hour
These let the tool treat each time window differently, since behavior changes through the day.
Cost settings
Estimated Spread – approximate buy/sell price difference
Estimated Slippage – expected extra cost from fast movement
These make the tool focus on realistic, after-cost trading conditions .
Visual settings
toggle dashboard
toggle background shading
toggle regime labels
choose X/Y position of the panel
Limitations
uses estimates of spread and slippage, not live order-book data
cannot remove all uncertainty
best used as a filter, not a trading system
Suggested use
filter out bad environments
increase selectivity
align position size with regime quality
combine with your own strategy or entries
cc/@version=5
indicator("5 Min Forex Strategy", overlay=true, timeframe="5")
// ───────── Indicators ─────────
// EMAs
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
// RSI
rsi = ta.rsi(close, 14)
// Stochastic
k = ta.stoch(close, high, low, 14)
d = ta.sma(k, 3)
// ───────── Trend Conditions ─────────
bullTrend = ema50 > ema200
bearTrend = ema50 < ema200
// ───────── Entry Conditions ─────────
// Buy when trend is bullish + RSI > 50 + Stochastic crosses up from oversold
buySignal = bullTrend and rsi > 50 and ta.crossover(k, d) and k < 20
// Sell when trend is bearish + RSI < 50 + Stochastic crosses down from overbought
sellSignal = bearTrend and rsi < 50 and ta.crossunder(k, d) and k > 80
// ───────── Plot Indicators ─────────
plot(ema50, color=color.yellow, title="EMA 50")
plot(ema200, color=color.red, title="EMA 200")
// RSI & Stoch plot on separate pane
rsiPlot = plot(rsi, "RSI", color=color.new(color.blue, 0))
hline(70); hline(30)
// ───────── Plot Buy/Sell signals ─────────
plotshape(buySignal, title="BUY", style=shape.labelup, color=color.green, text="BUY", size=size.small, location=location.belowbar)
plotshape(sellSignal, title="SELL", style=shape.labeldown, color=color.red, text="SELL", size=size.small, location=location.abovebar)
Options Gamma Flip Zones [BackQuant]Options Gamma Flip Zones
A market-structure style “gamma flip” mapper that builds adaptive strike-like zones, scores how price interacts with them, then promotes the strongest candidates into confirmed flip zones. Designed to highlight pinning, failed breaks, and rotational behavior without needing live options chain data.
What this indicator does
This script identifies price levels that behave like “strike magnets” during conditions that resemble options pinning, then draws dynamic zones around those levels.
Instead of assuming every round number matters, it:
Creates a strike ladder (auto or manual step).
Applies a regime filter that looks for “pin-friendly” market conditions.
Tracks and scores repeated interactions with the level.
Upgrades a zone from candidate to confirmed when enough evidence accumulates.
Invalidates zones when price achieves sustained acceptance away from them.
The output is a set of shaded boxes (zones) centered on strike-like levels, with text readouts that show the current state of each zone.
Key concept: “Gamma proxy”
A true gamma flip requires options positioning data. This indicator does not use options chain gamma.
Instead, it uses a proxy approach:
When markets have elevated volatility relative to their recent baseline AND trend strength is weak, price often behaves “sticky” around key levels.
In those conditions, repeated touches and failed escapes around a level behave similarly to pinning around strikes.
So this tool is best read as:
“Where would a strike-like magnet likely exist right now, based on price behavior and regime conditions?”
How zones are created
Zones only start forming when the script detects a pin-friendly regime.
1) Strike Ladder (level selection)
Auto Strike Step selects a step size based on current price magnitude (bigger price, bigger step).
Manual Strike Step lets you force a fixed increment.
The current “active level” is the nearest rounded level to price.
Major Level Every optionally marks major ladder levels (multiples of step).
2) Band construction (zone thickness)
Each zone is a symmetric band around the level, using one of two modes:
ATR mode scales thickness with volatility.
Percent mode scales thickness as a fraction of price.
This matters because “pin behavior” is not a single tick. It’s a region where price repeatedly probes and rejects.
Regime filter (when the script is allowed to believe in pinning)
A zone is only eligible to form and strengthen when Pin Regime is active. Pin Regime is a conjunction of:
1) IV proxy (ATR z-score)
Uses ATR as a volatility proxy.
Converts ATR% into a z-score relative to a long lookback.
IV Proxy Threshold controls how elevated volatility must be before the script considers pinning likely.
2) Weak trend requirement
The script also requires price action to be non-trending:
EMA spread must be small (fast vs slow EMA not diverging strongly).
ADX must be below a ceiling, confirming weak directional trend strength.
Interpretation:
High “IV proxy” + weak trend is where pin-like behavior is most common.
If trend is strong, zones are less meaningful because price is more likely to accept away from levels.
Flip confirmation logic (what upgrades a zone)
A zone is not “confirmed” just because price is near it once. The script builds conviction via evidence accumulation.
Evidence types:
Touches : price comes close to the level within tolerance.
Failed escapes : price pushes outside the band but closes back inside (rejection).
Acceptance run : consecutive closes outside the band, suggesting price is accepting away from the zone.
Protections:
Touch Cooldown prevents counting the same micro-chop as multiple touches.
Acceptance Bars defines what “real acceptance” means, so the zone does not get invalidated by one noisy bar.
A zone becomes confirmed when:
Touches meet the “evidence” requirement.
Failed escapes meet the “rejection” requirement.
The regime filter still says the market is pin-friendly.
That is important, it avoids promoting levels that only worked briefly in a trending tape.
Zone scoring and lifecycle
Each zone maintains a score that evolves over time. Think of score as “how much this level has recently behaved like a magnet.”
Score dynamics:
Decay per bar : score fades over time if price stops respecting the zone.
+ per touch : repeated proximity increases score.
+ per failed escape : rejections add stronger reinforcement.
- per acceptance bar : sustained trading outside reduces score.
Min score to draw : prevents clutter from weak, low-confidence zones.
Invalidation:
If the score becomes very weak AND price achieves sustained acceptance away from the zone, the zone is deleted.
This keeps the chart clean and ensures zones represent current market behavior, not ancient levels.
How to read the plot on chart
1) Zone fill and border
Each zone is drawn as a box extended to the right.
Fill opacity adapts to zone strength, strong zones are visually more prominent.
Border color encodes the current directional context and special events.
2) Bullish vs bearish coloring
A zone is colored bullish when price is currently trading above the zone’s mid-level.
A zone is colored bearish when price is currently trading below it.
This is not a trade signal by itself, it is a state cue for “which side is in control around the level.”
3) Failed escape highlighting
If price attempts to break above the band and fails, the border temporarily highlights as a failed up escape.
If price attempts to break below the band and fails, the border temporarily highlights as a failed down escape.
These are the moments where pin behavior is most visible:
Break attempt.
Immediate rejection.
Return to the band.
4) Midline (optional)
The zone midline is the strike-like level itself.
It is dotted to distinguish it from price structure lines.
5) Optional strike ladder overlay
When enabled, the script draws major and minor ladder lines near current price.
Major levels are thicker and less transparent.
This is a visualization aid for “where the algorithm is rounding,” not a prediction tool.
On-chart text readout (what the box text means)
Each box prints a compact state summary, designed for fast scanning:
Γ CANDIDATE means the zone is being tracked but not yet validated.
Γ FLIP (PROXY) means the zone has met confirmation requirements.
BULL/BEAR indicates which side price is on relative to the mid-level.
L prints the level value.
T is touch count, repeated proximity events.
F is fail count, rejected escape attempts.
IVz is the volatility proxy z-score at the moment.
ADX is the trend strength context.
Practical use cases
1) Pinning and range trading context
Confirmed zones often act like gravity wells in sideways or rotational regimes.
When price repeatedly fails to escape, fading outer edges can be reasonable context for mean reversion workflows.
2) Breakout validation
If price achieves acceptance outside the band for multiple bars, that is stronger breakout context than a single wick.
Zones that invalidate cleanly can mark transitions from pinning to directional move.
3) Time your “do nothing” periods
When Pin Regime is active and a zone is confirmed, the tape often becomes sticky and inefficient for trend chasing.
This helps avoid taking trend entries into a pin environment.
Alerts
Standalone alertconditions are included:
Zone Confirmed : a candidate becomes confirmed.
Zone Touch : price touches an active zone within tolerance.
Zone Invalidated : the zone loses relevance and is removed.
Tuning guidelines
Sensitivity vs quality
Lower Touches Needed and Failed Escapes Needed creates more zones faster, but with lower quality.
Higher values create fewer zones, but the ones that remain are more behaviorally “proven.”
Band width
ATR mode adapts to volatility and is typically safer across assets.
Percent mode is consistent visually but can feel too tight in high vol or too wide in low vol if not tuned.
Regime thresholds
If you want fewer zones, raise IV proxy threshold and tighten weak-trend filters.
If you want more zones, lower IV proxy threshold and loosen weak-trend filters.
Limitations
This is a proxy model, not live options gamma.
In strong trends, pinning assumptions can break, the regime filter is there to reduce that risk, but not eliminate it.
Auto strike step is designed for typical market ranges, manual step is recommended for niche tick sizes or custom markets.
Disclaimer
Educational and informational only, not financial advice.
Not a complete trading system.
Always validate settings per asset and timeframe.
Oxscope 1hr V1This indicator is a sophisticated trend-following tool designed to filter market noise by aggregating signals from 20 distinct technical indicators—including EMA, RSI, MACD, Bollinger Bands, SuperTrend, and Ichimoku. Instead of relying on a single metric, it calculates a real-time "consensus score" for every candle, where each indicator votes +1 for bullish or -1 for bearish.
Key Features:
High-Confidence Threshold: The strategy operates on a strict threshold of ±6. A score of +6 or higher activates the Long Zone (Green Background), while -6 or lower triggers the Short Zone (Red Background). This ensures trades are only suggested when there is strong technical agreement.
Visual Clarity: Designed for a distraction-free experience, this version removes complex data tables and indicator lines. It features massive, easy-to-read emoji labels ("🚀" for Long entries, "📉" for Short entries).
Smart Signal Logic: The script prioritizes entry signals over exit signals during sharp reversals, keeping your chart clean and focusing solely on the most critical trend changes.
This tool is ideal for traders seeking high-conviction setups without visual clutter.
NY Session Bar Counter & Bar painterThe NY Session Bar Counter is a high-visibility technical utility that provides an automated, sequential count of every candle during the New York session (09:30 to 16:00 EST). Unlike standard session highlighters, this tool numbers each bar starting from the market open, allowing traders to identify specific "time-of-day" windows with surgical precision.
This script is specifically engineered for traders who follow setups based on specific bar numbers (e.g., the Bar 17 reversal, the Bar 36 lunch-power-hour, or the final EOD flush).
🚀 Key Features
Precision Timing: Automatically resets every day at 09:30 AM New York time, regardless of your local timezone settings.
Multi-Timeframe Logic: Optimized to work seamlessly on 1m, 5m, 15m, and 30m charts without breaking the daily count.
Historical & Replay Compatibility: Unlike many session tools, this script is fully compatible with Bar Replay and displays historical data across several days (up to 500 labels).
Special Bar Highlighting: Includes a "Paint Bar" feature that allows you to choose a specific bar number (e.g., Bar 17) and automatically color the candle body for instant visual recognition.
Customizable Display: Filter for Odd/Even numbers to reduce chart clutter and adjust font size, color, and position (Above/Below bar).
💡 Why It Is Useful
In the modern trading environment, the market moves in cycles of liquidity and volatility that are often tied to specific times. This script is useful because:
Standardization: It provides a common language for traders. Instead of saying "the 10:50 AM candle," traders can refer to "Bar 17" (on a 5m chart), which is faster and more consistent.
Backtesting Accuracy: When reviewing past days or using Bar Replay, you can easily identify if your strategy triggers at the same relative time every day.
Visual Discipline: By highlighting a "Target Bar," you can train your eyes to wait for specific time windows before looking for a setup, helping to prevent overtrading during low-probability hours.
Operational Efficiency: It removes the manual work of counting bars from the open, allowing you to focus entirely on price action and order flow.
How to Use
Install the script on any intraday timeframe (best on 5m or 15m).
Adjust Lookback: Use the settings to determine how many historical days you want to view.
Identify Patterns: Use the "Special Bar Highlight" to mark the bar where your strategy most frequently triggers.
[RoyalNeuron] RSI-SMA [WidowMaker v1.0]Hey everyone,👋
This is WidowMaker v1.0 — my free take on a really clean, zero-lag smoothed RSI that actually helps you see momentum without all the noise.
What makes it different:
- Smoothed RSI (you pick SMA or EMA) so it doesn’t whipsaw as much as the default one
- Green line when momentum is rising, red when it’s falling — super easy to read at a glance
- Histogram turns solid green for strong upward push, solid red when things are fading
- Very faint green background in oversold (buy zone) and faint red in overbought (caution zone)
Quick way to use it:
- Green line + solid green histogram near the bottom (oversold) → good spot for longs
- Red line + solid red histogram near the top (overbought) → time to think about shorts or taking profit
I made it because I was tired of cluttered indicators that look cool but don’t help much in real trading.
I am thinking of an updated version, still thinking of what to add so that to add value.
Would love your honest feedback — like it, use it, tell me what you’d add. More free tools on the way!
Cheers,
RoyalNeuron 👑
RSI, Smoothed RSI, Momentum, Oscillator, Overbought, Oversold, Histogram, Green Red, Free, Alerts
Price Log Regression (by Currency)1. Introduction
This indicator draws a logarithmic regression line directly on top of the price candles, showing the long‑term “average” growth path of any asset in the currency you select (for example USD). It is inspired by popular log‑regression studies used on assets like Bitcoin, where price is transformed to a log scale and a straight regression line is used to visualize macro trends and diminishing returns over time.
2. Key Features
- Currency‑aware trend line : Before calculating the regression, the script converts the asset’s price into the chosen currency, so the line represents the trend of “price in USD”, not just the original quote on the chart.
- Logarithmic regression : The script takes the logarithm (base 10) of the converted price, applies a linear regression to that log series, and then converts the result back to normal price; this produces a smooth line that follows the exponential character of many long‑term price moves.
- On‑chart overlay : Only the regression line is plotted and `overlay` is enabled, so the line appears directly over your existing candles, keeping the chart clean and making it easy to compare current price versus its long‑term log‑trend in the selected currency.
3. How to Use
- Add the script to any symbol and timeframe, then choose the Currency input (for example set it to “USD” if you want to see the trend of that asset measured in Dolars).
- Adjust the Regression length input: longer lengths give a slower, smoother macro line, while shorter lengths react more to recent price action; use what best matches the horizon you are analysing.
- Read the line as an analytical tool, not as guaranteed support or resistance: if price is far above the line, it may indicate an extended move relative to its long‑term path in that currency; if it is far below, it may indicate a cheaper zone relative to that same path, always remembering that this is educational analysis and not financial advice.
Note: This indicator focuses on long‑term logarithmic trends rather than short‑term noise, it is best suited for longer‑horizon approaches such as swing trading and position trading, rather than intraday scalping.
Korocham MA & SwingSMA 3Lines , Swing High Low
An indicator that displays 3 SMA lines and Swing Highs/Lows with 5 bars to the left and right.
Danny's Quarter Zones - CompleteThis is a very good indicator which can make anybody profitable even me. so that's why im sharing it with you all . it was made specifically for NQ. to use it on ES I would have to mess around and see what works best. as it is it is good for NQ.
Liquidity Sweep Pro [Whale Edition]Liquidity Sweep Pro is a next-generation trading tool that bridges the gap between Smart Money Concepts (SMC) and Quantitative Volume Analysis.
Traditional "Liquidity Sweep" indicators often generate false signals by marking every wick crossover as a trade setup. This indicator solves that problem by filtering setups through a Quant VSA Engine. It asks not just "Did price sweep a level?" but "Was there institutional money behind this move?"
🔬 How It Works
The indicator operates on three synchronized layers:
1. Market Structure (Liquidity Pools) It automatically identifies key pivot points where retail Stop Losses are likely clustered:
Buy Side Liquidity (BSL): Areas above swing highs.
Sell Side Liquidity (SSL): Areas below swing lows.
2. The Quant Engine (Whale Detection) Instead of using simple volume averages, we apply statistical modeling to detect anomalies:
Log-Normal Z-Score: Normalizes volume data to detect statistically significant outliers (Sigma > 2.5). This adapts to market volatility, filtering out noise.
Kaufman Efficiency Ratio (KER): Analyzes the quality of price movement to classify the "Whale" type:
❄️ Absorption (Iceberg): High Volume + Low Price Movement. Signals a potential reversal.
🚀 Propulsion (Drive): High Volume + High Price Efficiency. Signals an aggressive breakout.
3. The Trigger (Smart Entry) A trade signal is generated ONLY when:
Price sweeps a liquidity level (wicking below/above).
Price closes back within the range.
Institutional Activity is confirmed (High Z-Score Volume).
Trend (EMA 200) and Momentum (RSI) filters are aligned.
🛡️ Features
Intrabar Analysis: Uses request.security_lower_tf to analyze the internal volume delta of the candle for maximum precision.
Automated Risk Management: Plots Entry, Take Profit, and Stop Loss levels directly on the chart based on ATR (Average True Range) and your preferred Risk:Reward ratio.
Unified Alerts: Includes a single "ANY SWEEP" alert condition, allowing you to monitor both Long and Short setups with just one TradingView alert.
Visual Classification: Candles with institutional activity are marked with a 🐋 symbol, even if no sweep occurs, helping you read the narrative.
⚙️ Best Settings & Usage
Timeframes: Works best on 15m, 1h, and 4h charts.
LTF Interval (Input): This is crucial.
If trading on the 1h chart, set LTF to 1 minute.
If trading on the 4h chart, set LTF to 5 minutes.
Whale Threshold: Default is 2.5 Sigma. Increase to 3.0 for fewer, higher-confidence signals, or decrease to 2.0 for more frequency.
⚠️ Disclaimer
This tool is for educational purposes only. It identifies statistical probabilities, not certainties. Always manage your risk and do not rely solely on one indicator.
Relative Strength Index SmoothedDefinition
The Relative Strength Index (RSI) is a well versed momentum based oscillator which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements. Essentially RSI, when graphed, provides a visual mean to monitor both the current, as well as historical, strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period creating a reliable metric of price and momentum changes. Given the popularity of cash settled instruments (stock indexes) and leveraged financial products (the entire field of derivatives); RSI has proven to be a viable indicator of price movements.
History
J.Welles Wilder Jr. is the creator of the Relative Strength Index. A former Navy mechanic, Wilder would later go on to a career as a mechanical engineer. After a few years of trading commodities, Wilder focused his efforts on the study of technical analysis. In 1978 he published New Concepts in Technical Trading Systems. This work featured the debut of his new momentum oscillator, the Relative Strength Index, better known as RSI.
Over the years, RSI has remained quite popular and is now seen as one of the core, essential tools used by technical analysts the world over. Some practitioners of RSI have gone on to further build upon the work of Wilder. One rather notable example is Andrew Cardwell who used RSI for trend confirmation.
Calculation
RSI = 100 – 100/ (1 + RS)
RS = Average Gain of n days UP / Average Loss of n days DOWN
For a practical example, the built-in Pine Script function rsi(), could be replicated in long form as follows.
change = change(close)
gain = change >= 0 ? change : 0.0
loss = change < 0 ? (-1) * change : 0.0
avgGain = rma(gain, 14)
avgLoss = rma(loss, 14)
rs = avgGain / avgLoss
rsi = 100 - (100 / (1 + rs))
"rsi", above, is exactly equal to rsi(close, 14).
The basics
As previously mentioned, RSI is a momentum based oscillator. What this means is that as an oscillator, this indicator operates within a band or a set range of numbers or parameters. Specifically, RSI operates between a scale of 0 and 100. The closer RSI is to 0, the weaker the momentum is for price movements. The opposite is also true. An RSI closer to 100 indicates a period of stronger momentum.
- 14 days is likely the most popular period, however traders have been known to use a wide variety of numbers of days.
What to look for
Overbought/Oversold
Wilder believed that when prices rose very rapidly and therefore momentum was high enough, that the underlying financial instrument/commodity would have to eventually be considered overbought and a selling opportunity was possibly at hand. Likewise, when prices dropped rapidly and therefore momentum was low enough, the financial instrument would at some point be considered oversold presenting a possible buying opportunity.
There are set number ranges within RSI that Wilder consider useful and noteworthy in this regard. According to Wilder, any number above 70 should be considered overbought and any number below 30 should be considered oversold.
An RSI between 30 and 70 was to be considered neutral and an RSI around 50 signified “no trend”.
Some traders believe that Wilder’s overbought/oversold ranges are too wide and choose to alter those ranges. For example, someone might consider any number above 80 as overbought and anything below 20 as oversold. This is entirely at the trader’s discretion.
Divergence
RSI Divergence occurs when there is a difference between what the price action is indicating and what RSI is indicating. These differences can be interpreted as an impending reversal. Specifically there are two types of divergences, bearish and bullish.
Bullish RSI Divergence – When price makes a new low but RSI makes a higher low.
Bearish RSI Divergence – When price makes a new high but RSI makes a lower high.
Wilder believed that Bearish Divergence creates a selling opportunity while Bullish Divergence creates a buying opportunity.
Failure Swings
Failure swings are another occurrence which Wilder believed increased the likelihood of a price reversal. One thing to keep in mind about failure swings is that they are completely independent of price and rely solely on RSI. Failure swings consist of four “steps” and are considered to be either Bullish (buying opportunity) or Bearish (selling opportunity).
Bullish Failure Swing
RSI drops below 30 (considered oversold).
RSI bounces back above 30.
RSI pulls back but remains above 30 (remains above oversold)
RSI breaks out above its previous high.
Bearish Failure Swing
RSI rises above 70 (considered overbought)
RSI drops back below 70
RSI rises slightly but remains below 70 (remains below overbought)
RSI drops lower than its previous low.
Cardwell’s trend confirmations
Of course no one indicator is a magic bullet and almost nothing can be taken simply at face value. Andrew Cardwell, who was mentioned earlier, was one of those students who took Wilder’s RSI interpretations and built upon them. Cardwell’s work with RSI led to RSI being a great tool not just for anticipating reversals but also for confirming trends.
Uptrends/Downtrends
Cardwell made keen observations while studying Wilder’s ideas of divergence. Cardwell believed that:
Bullish Divergence only occurs in a Bearish Trend.
Bearish Divergence only occurs in an Bullish Trend.
Both Bullish and Bearish Divergence usually cause a brief price correction and not an actual trend reversal.
What this means is that essentially Divergence should be used as a way to confirm trends and not necessarily anticipate reversals.
Reversals
Cardwell also discovered what are referred to as Positive and Negative Reversals. Positive and Negative Reversals are basically the opposite of Divergence.
Positive Reversal occurs when price makes a higher low while RSI makes a lower low. Price proceeds to rise. Positive Reversals only occur in Bullish Trends.
Negative Reversal occurs when price makes a lower high while RSI makes a higher high. Price proceeds to fall. Negative Reversals only occur in Bearish Trends.
Positive and Negative Reversals can be boiled down to cases where price outperformed momentum. And because Positive and Negative Reversals only occur in their specified trends, they can be used as yet another tool for trend confirmation.
Summary
For more than four decades the Relative Strength Index (RSI) has been an extremely valuable tool for almost any serious technical analyst. Wilder’s work with momentum laid the groundwork for future chartists and analysts to dive in deeper to further explore the implications of his RSI modeling and its correlation with underlying price movements. As such, RSI is simply one of the best tools or indicators in a trader’s arsenal of market metrics to develop most any trading methodology. Only the novice will take one look at RSI and assume which direction the market will be heading next based off of one number. Wilder believed that a bullish divergence was a sign that the market would soon be on the rise, while Cardwell believed that such a divergence was merely a slight price correction on the continued road of a downward trend. As with any indicator, a trader should take the time to research and experiment with the indicator before relying on it as a sole source of information for any trading decision. When used in proper its perspective, RSI has proven to be a core indicator and reliable metric of price, velocity and depth of market.
RSI & MACD SuiteRSI & MACD Suite
A professional combination of two essential momentum indicators - Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) - designed to provide comprehensive market analysis in a single, clean interface.
OVERVIEW
This indicator combines the power of RSI and MACD to help traders identify potential overbought/oversold conditions, momentum shifts, and trend changes. Both indicators are displayed with enhanced visual elements including gradient fills, customizable bands, and clear signal lines.
FEATURES
RSI (Relative Strength Index)
- Customizable Period: Adjustable RSI length (default: 14)
- Visual Zones: Overbought zone (above 70) with green gradient, Oversold zone (below 30) with red gradient, Background fill between bands for easy reference
- Key Levels: Clear horizontal lines at 30, 50, and 70
- Flexible Source: Choose any price source (close, open, high, low, etc.)
MACD (Moving Average Convergence Divergence)
- Customizable Parameters: Fast Length (default: 12), Slow Length (default: 26), Signal Length (default: 9)
- MA Type Selection: Choose between EMA or SMA for both oscillator and signal line
- Color-Coded Histogram: Green for bullish momentum, Red for bearish momentum
- Clear Signal Lines: Blue MACD line and orange Signal line for easy identification
ALERT CONDITIONS
The indicator includes 7 built-in alert conditions:
RSI Alerts:
1. RSI Overbought - Triggers when RSI crosses above 70
2. RSI Oversold - Triggers when RSI crosses below 30
3. RSI Midline Cross - Triggers when RSI crosses the 50 level
MACD Alerts:
4. MACD Bullish Cross - Triggers when MACD line crosses above Signal line
5. MACD Bearish Cross - Triggers when MACD line crosses below Signal line
6. MACD Histogram Bullish - Triggers when histogram crosses above zero
7. MACD Histogram Bearish - Triggers when histogram crosses below zero
CUSTOMIZATION
Clean Organization
- Inputs Tab: Separate groups for RSI and MACD settings
- Style Tab: All visual elements clearly labeled with "RSI -" or "MACD -" prefixes for easy identification
- Full Control: Customize colors, line widths, and visibility of all elements
Visual Clarity
- Professional color scheme optimized for both light and dark themes
- Gradient fills for intuitive zone identification
- Clear separation between RSI and MACD elements
SETTINGS
RSI Settings
- Length: Lookback period for RSI calculation (default: 14)
- Source: Price data to use for calculation (default: close)
MACD Settings
- Source: Price data to use for calculation (default: close)
- Fast Length: Period for fast moving average (default: 12)
- Slow Length: Period for slow moving average (default: 26)
- Signal Length: Period for signal line (default: 9)
- Oscillator MA Type: EMA or SMA for MACD calculation
- Signal MA Type: EMA or SMA for signal line
TECHNICAL DETAILS
- Pine Script Version: v6
- Indicator Type: Oscillator (subplot)
- Calculation Method: RSI uses Relative Strength Index with RMA smoothing, MACD uses Fast MA minus Slow MA with configurable MA types
- Input Validation: Built-in checks to ensure valid parameter combinations
NOTES
- Default settings are industry-standard values (RSI: 14, MACD: 12/26/9)
- All visual elements can be hidden/shown individually in the Style tab
- Alerts must be manually created by users through TradingView's alert system
- This indicator does not repaint - all signals are based on closed candles
WHO SHOULD USE THIS
- Day traders looking for momentum signals
- Swing traders identifying trend changes
- Technical analysts performing multi-indicator analysis
- Traders who want a clean, all-in-one momentum solution
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always perform your own analysis and risk assessment before making trading decisions.
Version: 1.0
Author: aaboomar
License: Mozilla Public License 2.0
Middle Candle High / LowMiddle Candle High / Low – Liquidity Pivot Lines
This indicator identifies middle-candle pivot highs and lows based on wick extremes and plots them as liquidity lines extending to the right .
A pivot is formed when the middle candle’s wick is higher (for highs) or lower (for lows) than both the left and right candles. These levels often act as liquidity pools , where price may later react or get mitigated.
Dynamic Stoch200+MACD+Gann Confluence (Cardinal + Ordinal)If you're scrolling through hundreds of indicators on TradingView looking for a reliable edge, here's why this one stands out and deserves a spot on your chart:Ultra-High-Conviction Reversal Signals (Rare but Powerful)
Most indicators spam signals and repaint. This one requires four independent confluences to fire:Hidden bullish/bearish divergences on a very long-period Stochastic (200) – catches major cycle turns, not noise.Matching hidden divergences on MACD histogram – confirms momentum shift.A strong directional candle (close in top/bottom 20% of range) – filters weak wicks.
Price within ~1.75% of a dynamic Gann Square of 9 level (cardinal + ordinal angles).
Because it demands all four at once, signals are extremely rare — often only a handful per year on daily/weekly timeframes. When they appear, they frequently mark significant tops and bottoms.Fully Adaptive Gann Levels (No Static Lines)
Unlike most Gann scripts with fixed levels that quickly become irrelevant, this one:Automatically anchors to the most recent significant pivot low or high.
Calculates authentic Square of 9 rotations (45°, 90°, 135°, 180°, 225°, 270°, 315°, 360°).
Updates dynamically as new swings form — works on any timeframe and any market (BTC, stocks, forex, indices).
Clean & Customizable Toggle cardinal (strong) vs ordinal (intermediate) levels for plotting and signal checks.
Adjustable pivot sensitivity and proximity tolerance.
Minimal chart clutter: bold lines for major levels, subtle for intermediates, plus clear large triangles for entries.
Best For
Swing traders and position traders seeking high-probability reversal zones rather than frequent scalps. Excellent for Bitcoin and volatile assets where geometric levels + extreme momentum divergences often align at cycle extremes.In short: If you want an indicator that stays quiet most of the time but screams when a real reversal is likely — this is it. Add it, watch the Gann levels adapt, and wait patiently for the rare multi-confluence setups. Quality over quantity.
HMA 9/50 Crossover + RSI 50 Filter1. The Core Indicators
HMA 9 (Fast): Acts as the primary trigger line. Its unique calculation minimizes lag compared to standard moving averages, allowing for faster entries.
HMA 50 (Slow): Defines the medium-term trend direction and acts as the "anchor" for crossover signals.
RSI 14: Serves as a "momentum gate." Instead of traditional overbought/oversold levels, we use the 50 midline to confirm that the directional strength supports the crossover.
2. Entry Conditions
Long Entry: Triggered when the HMA 9 crosses above the HMA 50 AND the RSI is greater than 50.
Short Entry: Triggered when the HMA 9 crosses below the HMA 50 AND the RSI is less than 50.
3. Execution & Reversal
This strategy is currently configured as an Always-in-the-Market system.
A "Long" position is automatically closed when a "Short" signal is triggered.
To prevent "pyramiding" (buying multiple positions in one direction), the script checks the current position_size before opening new entries.
How to Use
Timeframe: Optimized for 3-minute (3m) candles but can be tuned for 1m to 15m scalping.
Settings: Use the Inputs panel to adjust HMA lengths based on the volatility of your specific asset (e.g., shorter for stable stocks, longer for volatile crypto).
Visuals:
Aqua Line: HMA 9
Orange Line: HMA 50
Green Background: Bullish RSI Momentum (> 50)
Red Background: Bearish RSI Momentum (< 50)
Risk Disclosure
Whipsaws: This strategy is likely to underperform in sideways markets.
Backtesting: Past performance does not guarantee future results. Always test this strategy in the Strategy Tester with appropriate commission and slippage settings before live use.
ADR SQUEEZEADR SQUEEZE – Volatility Compression & Expansion
ADR SQUEEZE is a volatility-based indicator that uses Average Daily Range (ADR) to identify price compression (squeeze) and range expansion phases.
It compares the daily % price change with ADR-derived thresholds to classify market conditions.
Marker Meanings (Plotted on Zero Line)
Pink Dot – Tight Squeeze
Price movement is significantly smaller than normal ADR.
Indicates strong volatility contraction and energy buildup.
Yellow Dot – Mild Squeeze
Price movement is increasing but still below full ADR.
Often appears just before expansion.
Green Cross – Expansion Up
Price change exceeds ADR to the upside.
Signals strong bullish range expansion.
Red Cross – Expansion Down
Price change exceeds ADR to the downside.
Signals strong bearish range expansion.
How to Use
Watch for extended pink dots as early compression zones
Yellow dots often mark transition from squeeze to move
Green / Red crosses confirm directional expansion
Best used with price structure, breakouts, and trend context
Auto Fib Retracement Advanced//@version=5
indicator("Auto Fib Retracement Advanced", overlay=true, max_lines_count=500) // Increase max_lines_count
leftBars = input.int(10, "Pivot Left Bars")
rightBars = input.int(10, "Pivot Right Bars")
extendRight = input.bool(true, "Extend Lines Right")
swingHigh = ta.pivothigh(high, leftBars, rightBars)
swingLow = ta.pivotlow(low, leftBars, rightBars)
var float lastHighPrice = na
var int lastHighBar = na
var float lastLowPrice = na
var int lastLowBar = na
// Arrays to store line IDs for management
var lines = array.new_line()
levels_values = array.from(0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0)
// Update pivot points and redraw lines when a new pivot is confirmed
if not na(swingHigh) or not na(swingLow)
if not na(swingHigh)
lastHighPrice := swingHigh
lastHighBar := bar_index
if not na(swingLow)
lastLowPrice := swingLow
lastLowBar := bar_index
// Delete existing lines before drawing new ones
for i = 0 to array.size(lines) - 1
line.delete(array.get(lines, i))
array.clear(lines)
if not na(lastHighPrice) and not na(lastLowPrice)
isUptrend = lastHighPrice > lastLowPrice
fibRange = math.abs(lastHighPrice - lastLowPrice)
// Draw new lines
for i = 0 to array.size(levels_values) - 1
levelValue = array.get(levels_values, i)
priceLevel = isUptrend ? lastLowPrice + fibRange * levelValue : lastHighPrice - fibRange * levelValue
// Use line.new to create persistent horizontal lines
newLine = line.new(x1=lastLowBar, y1=priceLevel, x2=bar_index + (extendRight ? 500 : 0), y2=priceLevel, color=color.gray, style=line.style_dashed)
array.push(lines, newLine)
CME Quarterly ShiftsCME Quarterly Shifts - Institutional Quarter Levels
Overview:
The CME Quarterly Shifts indicator tracks price action based on actual CME futures contract rollover dates, not calendar quarters. This indicator plots the Open, High, Low, and Close (OHLC) for each quarter, with quarters defined by the third Friday of March, June, September, and December - the exact dates when CME quarterly futures contracts expire and roll over.
Why CME Contract Dates Matter:
Institutional traders, hedge funds, and large market participants typically structure their positions around futures contract expiration cycles. By tracking quarters based on CME rollover dates rather than calendar months, this indicator aligns with how major institutional players view quarterly timeframes and position their capital.
Key Features:
✓ Automatic CME contract rollover date calculation (3rd Friday of Mar/Jun/Sep/Dec)
✓ Displays Quarter Open, High, Low, and Close levels
✓ Vertical break lines marking the start of each new quarter
✓ Quarter labels (Q1, Q2, Q3, Q4) for easy identification
✓ Adjustable history - show up to 20 previous quarters
✓ Fully customizable colors and line widths
✓ Works on any instrument and timeframe
✓ Toggle individual OHLC levels on/off
How to Use:
Quarter Open: The opening price when the new quarter begins (at CME rollover)
Quarter High: The highest price reached during the current quarter
Quarter Low: The lowest price reached during the current quarter
Quarter Close: The closing price from the previous quarter
These levels often act as key support/resistance zones as institutions reference them for quarterly performance, rebalancing, and position management.
Settings:
Display Options: Toggle quarterly break lines, OHLC levels, and labels
Max Quarters: Control how many historical quarters to display (1-20)
Colors: Customize colors for each level and break lines
Styles: Adjust line widths for OHLC levels and quarterly breaks
Best Practices:
Combine with other Smart Money Concepts (liquidity, order blocks, FVGs)
Watch for price reactions at quarterly Open levels
Monitor quarterly highs/lows as potential targets or stop levels
Use on higher timeframes (4H, Daily, Weekly) for clearer institutional perspective
Pairs well with monthly and yearly levels for multi-timeframe confluence
Perfect For:
ICT (Inner Circle Trader) methodology followers
Smart Money Concepts traders
Swing and position traders
Institutional-focused technical analysis
Traders tracking quarterly performance levels
Works on all markets: Forex, Indices, Commodities, Crypto, Stocks
Williams %R Smoothed (EMA colour & bar toggle)From TradingView's description:
Williams %R (%R) is a momentum-based oscillator used in technical analysis, primarily to identify overbought and oversold conditions. The %R is based on a comparison between the current close and the highest high for a user defined look back period. %R Oscillates between 0 and -100 (note the negative values) with readings closer to zero indicating more overbought conditions and readings closer to -100 indicating oversold. Typically %R can generate set ups based on overbought and oversold conditions as well overall changes in momentum.
What's special?
This indicator adds two additional EMA lines to the original Williams %R indicator. Default EMA lengths are 5 and 13. The result is 2 smoother average lines, which are easier to read.
This indicator includes:
- signals for EMA crosses. EMA crosses can help indicate confirmed trend changes. Default colors are green and red
- signals for trend reversals on the faster EMA line. Default colors are blue and orange
Alerts available for bullish/bearish crossovers and reversals.
