Market Euphoria Index v2 - MEI - Predict Market Tops & BottomsThe Market Euphoria Index v2 (MEI) is a 0–100 macro composite designed for the MONTHLY chart of SPX or the Nasdaq Composite (weekly also supported). It measures the cumulative buildup of the conditions that have historically surrounded major cycle tops and bottoms — not price alone, but the collision of euphoria (extension, sustained complacency) with late-cycle stress (profit stagnation, claims turning, curve dynamics, tight policy).
HOW TO READ IT
Above 80 — Extreme euphoria: the historical top zone
Above 65 — Euphoria warning: late-cycle, tighten risk
35–65 — Neutral
Below 35 — Fear: opportunity zone
Below 20 — Extreme fear: the historical bottom zone
Confirmation markers add a timing layer on top of the regime reading: a red triangle prints when MEI is in the euphoria zone AND monthly RSI shows a bearish divergence (higher price, lower momentum). A green triangle prints when MEI is in the fear zone AND either monthly RSI is washed out or initial jobless claims roll over from cycle highs — historically one of the tightest bottom signals available (claims peaked within weeks of the March 2009 and March 2020 lows).
THE 8 COMPONENTS (weights adjustable)
Price extension vs 5-year MA (22%) — blended with a 15-year percentile rank so each era is judged against its own norms
Yield curve un-inversion clock (18%) — tops historically cluster 0–12 months after un-inversion; includes a resolve gate so the clock disarms once the cycle has clearly broken (heavy Fed cuts, price under its 5-year MA, or claims spiking)
Corporate profits, ECONOMICS:USCPR (15%) — profits stagnated or declined ahead of the recession-driven bears (1997→2000, 2006→2007); deep decline with an improving second derivative scores as bottom conditions
Jobless claims cycle, ECONOMICS:USIJC (15%) — trough-and-turn off cycle lows = pre-top; spike-and-rollover = bottom
VIX 12-month average (10%) — sustained complacency, not spot readings
Inflation re-acceleration (8%)
Real rate stress (6%) — deflation-guarded so 2009-style CPI collapses read as fear, not stress
Fed cycle position (6%)
All rolling windows are computed at native monthly/quarterly/weekly resolution, so the math is correct on any chart timeframe. Missing history (VIX pre-1990, claims pre-1967, curve pre-1976 falls back to 10Y minus Fed Funds) is handled by dynamic weight renormalization — the composite extends back decades using whatever components exist, and the table shows how much weight is live at any point.
LIMITATIONS — READ BEFORE USING
Economic data publishes with a lag and gets revised, so real-time signals arrive later than a historical replay suggests. This framework targets recession-driven cycles: it structurally cannot anticipate exogenous shocks (2020) and only partially captures rate-shock bears (2022). The 2022–24 curve inversion that resolved without a recession is a live example of a component false positive — which is why no single component, including the curve, should be read in isolation. This is a regime gauge, not a precision timer, and nothing here is financial advice. Always combine with your own risk management.
Alerts are included for all threshold crossings and both confirmation signals. Feedback welcome — especially observations from earlier cycles. Indicator
CDC Action Zone+TrueMarket Mean (BTC Focus) By Beckte## Overview
This indicator is a macro-focused trend following and cyclical value tracking tool, specifically designed for Bitcoin (BTC) long-term investors. It combines the momentum logic of the well-known **CDC Action Zone** with a mathematical simulation of the On-Chain **Realized Price** model.
The main purpose of this script is to identify high-probability, macro-generational accumulation zones while filtering out early or false bottom signals during aggressive downtrends.
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## Key Components
### 1. CDC Action Zone (Trend & Momentum)
Based on the classic EMA 12 and EMA 26 crossover logic, this component colors the candlesticks to reflect the market's current momentum:
- 🟢 **Bright Green:** Strong Bullish Momentum (Hold / Trend is up)
- 🔵 **Blue:** Early Bullish Sign / Potential Reversal (Watch closely or start accumulation)
- 🔴 **Bright Red:** Strong Bearish Momentum (Stay in cash / Wait)
- 🟠 **Orange:** Early Bearish Sign / Technical Rebound in Bear Market
### 2. Realized Price Proxy (The Cyclical Floor)
In on-chain analysis, the **Realized Price** represents the average cost basis of all aggregate Bitcoin supply moving on-network, without omitting lost or dormant coins.
Since native on-chain data requires external API subscriptions on PulseWire, this script utilizes a specialized long-term statistical proxy (**730-day SMA with custom logarithmic offsets**) to simulate this ultimate cyclical floor. Historically, major bear market bottoms (2015, 2018, 2022) have strictly formed near or slightly below this baseline.
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## How it Works & Entry Strategy (The Anti-Doi Mechanism)
To avoid catching falling knives during a capitulation event, this script enforces a strict double-confirmation rule:
1. **Value Zone Check:** The current market price must correct down to within **10% of the Realized Price Proxy** (the light blue line). This ensures you are buying Bitcoin at an extreme discount relative to historical network value.
2. **Momentum Trigger:** Once inside the Value Zone, the script waits for the **CDC Action Zone to flip from Red/Orange to Blue or Green**.
When both conditions are met, a **"REALIZED BUY"** label will plot beneath the candlestick, signaling a safe, low-risk entry spot with a highly compressed downside.
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## Disclaimer & Credits
- **Credits:** The trend-following logic is inspired by the legendary "CDC Action Zone" concept popularized by Piriya Sambandaraksa. The valuation floor is based on the Realized Price on-chain metric conceptualized by the crypto-asset research community.
- **Disclaimer:** This indicator is designed for high-timeframe spot accumulation (recommended: 1D or 4H charts). It is not a financial advisory tool or a guarantee of future profits. Past performance does not indicate future results. Always practice proper risk management. Indicator
Bounce DurationOverview
Bounce Duration measures and visualizes the bar count of price bounces within a bearish cycle, from a confirmed swing low to its highest swing high before the next lower low. Each completed bounce is drawn as a labeled box, making it immediately obvious when the current bounce is behaving differently from historical ones.
Most bounce-analysis tools focus on price magnitude (how far a rally retraced). This indicator focuses on time , a dimension that is equally important but rarely visualized directly. An unusually long bounce duration is often a meaningful signal that market structure is changing.
How It Works
Swing highs and lows are identified using confirmed pivots. A bounce is measured from a post-ATH swing low to the highest swing high before the next lower low. The cycle resets on a new all-time high, ensuring only post-peak corrective bounces are measured. A live box tracks the current in-progress bounce in real time for direct comparison against history.
Two safeguards prevent false signals:
Bounces that reach a new ATH are excluded automatically
Only swing lows occurring on or after the ATH reset bar are accepted as valid starting points
Inputs
Minimum Bounce Duration (bars) - Filters out bounces shorter than this threshold
Pivot Length (bars L/R) - Controls swing detection sensitivity. Higher values find fewer, more significant pivots
Use Close Instead of Wick - Switches pivot detection to closing prices, useful for filtering wick noise on volatile instruments
Show Current Bounce - Toggles the live unconfirmed bounce box
Colors, text size, and label alignment are fully customizable
How to Use It
Compare the duration of the current bounce to all prior bounces in the same corrective cycle. Bear market bounces are typically short and uniform. When a bounce persists significantly longer than any previous one, it suggests accumulation may be underway rather than a simple relief rally.
Example: On Bitcoin's daily chart, the current bounce from the 2026 lows, measured on closing prices, is already longer in duration than every prior bounce in the post-ATH correction of prior cycles. This temporal outlier supports the case for a durable bottom forming rather than just another bear market bounce.
The indicator works on any timeframe and any instrument with clear corrective cycles. Adjust Pivot Length to match your timeframe, lower values for intraday and higher for weekly or monthly analysis.
Notes
The current bounce box repaints as it updates each bar. Confirmed historical boxes do not repaint.
No boxes are shown during a sustained uptrend. The indicator is designed for post-peak corrective analysis only.
For informational and educational purposes only. Not financial advice. Indicator
Indicator
VIX Range Levels (Rule of 16)VIX Range Levels — Rule of 16
What this indicator does-
This indicator uses India VIX (or any VIX-class index) to plot statistically derived expected move levels for the current trading day directly on your price chart. It draws six price levels — at 1×, 1.5×, and 2× standard deviations above and below the prior session's close — with colour-coded fills between each band.
The Rule of 16 — explained:
VIX is quoted as an annualized implied volatility, expressed as a percentage. To translate that annual figure into a single day's expected price range, we divide by the square root of the number of trading days in a year:
Daily Expected Move (%) = VIX ÷ √252 ≈ VIX ÷ 16
√252 ≈ 15.87, which practitioners conventionally round to 16 — hence the name.
Worked example:
If INDIAVIX closes at 14.40:
Daily Move = 14.40 ÷ 16 = 0.90%
On a Nifty level of 22,000, that is ±198 points for the 1σ (sigma) band.
Statistical interpretation of the bands-
The Rule of 16 assumes log-normal returns and uses a one standard deviation (1σ) framework:
Band Multiplier Probability price stays inside Inner (solid lines)1×~68%Middle (dashed)1.5×~87%Outer (dashed)2×~95%
In plain English: on any given day, price should stay within the solid lines roughly 7 out of 10 sessions, within the dashed 1.5× lines about 9 out of 10 sessions, and within the outer 2× lines about 19 out of 20 sessions — assuming markets are pricing volatility fairly.
Important caveat: These are probabilistic ranges derived from implied volatility, not guarantees. VIX measures the market's expectation of future volatility, not its certainty. On high-VIX days, ranges will be wide; on low-VIX days, they will be narrow.
How to identify potential Tops and Bottoms:
The bands are not just risk levels — they are mean-reversion anchors. Here is how experienced traders use them:
🔴 Potential Top signals-
Price tags or exceeds the 1× upper level (solid red line) on the first push of the day — especially in the opening hour. A clean touch with a rejection candle (spinning top, doji, shooting star) at this level is a high-probability fade setup.
Price reaches the 1.5× upper level intraday. Statistically, this is an outlier move. Look for volume exhaustion, a lower-high on a smaller timeframe, or a bearish divergence on RSI/MACD to confirm a reversal.
Price closes above the 2× upper level. This is a rare ~5% event. It signals either a genuine breakout (news-driven) or an extreme overextension due for a sharp snapback the following session.
🟢 Potential Bottom signals-
Price dips to the 1× lower level (solid green line) and holds — particularly if the broader market trend is up. A bullish engulfing or hammer candle at this level, especially on above-average volume, is a classic intraday reversal signal.
Price hits the 1.5× lower level with declining sell-side momentum. Watch for positive divergence on shorter timeframes or a sudden spike in buying volume as confirmation.
Price closes below the 2× lower level. Similar to the upper equivalent — either a true breakdown or an exhaustion move. Gap-up opens the following session from this zone are historically common.
Mid-line (dotted yellow — prior close)-
The prior session's close acts as the neutral axis. Price hovering above it indicates relative strength; price gravitating below it indicates weakness. Failed attempts to reclaim the mid-line after a breakdown are bearish; decisive reclaims are bullish.
Band fill colour guide-
Fill Meaning Grey (inner, 1× band) Normal expected range — most activity happens here Orange (middle, 1.5× band) Extended move — caution zone, watch for reversals Red (outer, 2× band) Extreme move — high-probability mean-reversion area
Settings:
Parameter Description Volatility Multiplier Scale all bands up or down (0.5–2.0). Use < 1.0 for low-volatility markets; > 1.0 to account for persistent trending conditions Upper / Lower Colour for resistance and support lines
Notes on data-
Levels are calculated using yesterday's closing VIX to avoid look-ahead bias (lookahead_off).
The anchor price is yesterday's close of the charted instrument. Lines start from the first bar of the current trading day so zones correctly represent today's session range.
Works on any intraday timeframe (1m, 5m, 15m, hourly).
Not meaningful on daily charts.
Best used with-
Price Action — candlestick patterns at band extremes
Volume Profile — confluence of VIX levels with high-volume nodes
RSI / MACD — divergences at band touches to confirm reversal intent
Order Flow — absorption or exhaustion at the outer bands
This indicator does not repaint. All calculations are based on confirmed prior-session data.
These are popular market calculations & are in no way meant to act as a standalone trading system, always research before investing. If you found it useful, please boost the script.Happy trading !! Indicator
Natural Visibility Graph [UAlgo]Natural Visibility Graph (NVG) is a structure detection indicator that treats price as a time series network. Each bar is interpreted as a node, and nodes are connected if they can “see” each other without intermediate bars blocking the line of sight. This is based on the Natural Visibility Graph concept introduced in complex network theory, where geometric visibility rules convert a time series into a graph.
In practical trading terms, NVG measures how structurally important a bar is by counting how many past bars remain visible from it. Bars with high visibility act like pivots that dominate their local environment because they are not easily obstructed by surrounding price action. The script computes this visibility for highs and lows separately, then flags exceptional nodes as hubs using a dynamic, volatility aware thresholding process.
The output is a chart overlay that highlights structural peaks and valleys with neon hub markers, draws a horizon style connection to the furthest visible bar, and optionally provides alerts when new hubs appear. It also colors bars according to hub status so structural events stand out instantly.
🔹 Features
1) Natural Visibility Graph Degree for Highs and Lows
The indicator calculates an in degree style connectivity score for each bar. Degree represents how many past bars are visible from the current bar under the NVG rule. Highs and lows are handled independently:
High graph measures visibility between swing peaks
Low graph measures visibility between swing valleys using an inverted obstruction rule
This separation helps detect both resistance like peaks and support like valleys without blending them into a single metric.
2) Lookback Controlled Structural Sensitivity
Visibility is computed only within a user selected lookback window. Larger values build stronger structural context and produce more selective hubs, but increase computation. Smaller values react faster but focus on local structure.
Visibility Lookback directly controls how far the algorithm searches for visible connections.
3) Dynamic Hub Detection with Adaptive Max Degree
Instead of using a fixed degree threshold, the script maintains a rolling maximum degree for highs and lows and applies a percentile style threshold. A slow decay mechanism reduces the max gradually over time so the reference level adapts when market structure changes.
This keeps hub detection stable across different regimes and helps avoid permanently locking into an old maximum degree that may no longer be reachable.
4) Hub Threshold Percentile Control
Hub Threshold defines how strict hub detection is. It is applied as a fraction of the current rolling maximum degree:
High hub when degreeH is greater than or equal to maxDegH times threshold
Low hub when degreeL is greater than or equal to maxDegL times threshold
Higher threshold values mark only the most dominant nodes. Lower values mark more frequent hubs.
5) Neon Web Visual Design
The script uses a neon palette to make structural events highly visible:
High hubs are marked with a cyan diamond above price
Low hubs are marked with a pink diamond below price
A dotted horizon beam connects the hub to its furthest visible past node, helping you interpret how far the hub’s influence extends in the visibility sense.
6) Bar Coloring for Instant Structural Context
Bars are colored by hub status:
Cyan for high hubs
Pink for low hubs
Muted gray for non hub bars
This provides a fast scan view of where the market is producing dominant structural events.
7) Alerts for Structural Peaks and Valleys
Alert conditions are provided for both hub types:
High Visibility Structural Peak Detected
High Visibility Structural Valley Detected
These can be used for structural monitoring, swing validation, or confluence with other tools.
🔹 Calculations
1) Natural Visibility Rule for Highs
For each past bar i within the lookback, the script checks if the straight line from the current high to the past high is unobstructed by intermediate highs. If no intermediate high reaches or exceeds the projected height on that line, the past bar is visible and the degree increases.
Core idea:
Current bar at index 0
Past bar at index i
Intermediate bars at index k where 1 is the nearest past bar and i minus 1 is just before the past bar
Slope and projection:
float slope = (high - high ) / float(i)
for k = 1 to i - 1
float y_projected = high - (slope * k)
if high >= y_projected
isVisible := false
break
If isVisible remains true, degreeH increments and furthestVisIdxH is updated to i, so the script remembers the furthest visible connection for drawing.
2) Natural Visibility Rule for Lows
Lows use the inverted valley logic. A past low is visible from the current low if intermediate lows do not fall at or below the projected line, because deeper lows block visibility in a valley sense.
float slope = (low - low ) / float(i)
for k = 1 to i - 1
float y_projected = low - (slope * k)
if low <= y_projected
isVisible := false
break
If visible, degreeL increments and furthestVisIdxL records the furthest visible low node.
3) Rolling Maximum Degree with Slow Decay
The indicator maintains rolling maximum degree values for highs and lows. Periodically it applies a slow decay so that the maximum can adapt downwards over time if structural connectivity decreases:
var int maxDegH = 5
var int maxDegL = 5
if bar_index % int(lookback/2) == 0
maxDegH := int(math.max(5, maxDegH * 0.95))
maxDegL := int(math.max(5, maxDegL * 0.95))
maxDegH := math.max(maxDegH, degreeH)
maxDegL := math.max(maxDegL, degreeL)
Interpretation:
The max degree never falls below 5
Decay runs every lookback divided by two bars
New degrees update the max immediately if a stronger hub appears
4) Hub Classification
A bar becomes a hub if its degree reaches a fraction of the current max degree:
bool isHubH = degreeH >= maxDegH * threshold
bool isHubL = degreeL >= maxDegL * threshold
threshold behaves like a percentile control over the observed maximum connectivity.
5) Hub Markers and Horizon Beam
When a hub is detected, the script plots a diamond label and draws a dotted line to the furthest visible bar for that hub type:
High hub:
label.new(bar_index, high, "◈", textcolor=colNeonCyan, style=label.style_label_down)
line.new(bar_index, high, bar_index - furthestVisIdxH, high , style=line.style_dotted)
Low hub:
label.new(bar_index, low, "◈", textcolor=colNeonPink, style=label.style_label_up)
line.new(bar_index, low, bar_index - furthestVisIdxL, low , style=line.style_dotted)
Interpretation:
The beam represents the furthest confirmed visibility connection and gives a visual sense of the hub’s visibility range.
6) Alert Conditions
The script exposes alert conditions tied to the hub booleans:
alertcondition(isHubH, "NVG High Hub", "High Visibility Structural Peak Detected")
alertcondition(isHubL, "NVG Low Hub", "High Visibility Structural Valley Detected")
Indicator
Indicator
Dip Hunter [BackQuant]Dip Hunter
What this tool does in plain language
Dip Hunter is a pullback detector designed to find high quality buy-the-dip opportunities inside healthy trends and to avoid random knife catches. It watches for a quick drop from a recent high, checks that the drop happened with meaningful participation and volatility, verifies short-term weakness inside a larger uptrend, then scores the setup and paints the chart so you can act with confidence. It also draws clean entry lines, provides a meter that shows dip strength at a glance, and ships with alerts that match common execution workflows.
How Dip Hunter thinks
It defines a recent swing reference, measures how far price has dipped off that high, and only looks at candidates that meet your minimum percentage drop.
It confirms the dip with real activity by requiring a volume spike and a volatility spike.
It checks structure with two EMAs. Price should be weak in the short term while the larger context remains constructive.
It optionally requires a higher-timeframe trend to be up so you focus on pullbacks in trending markets.
It bundles those checks into a score and shows you the score on the candles and on a gradient meter.
When everything lines up it paints a green triangle below the bar, shades the background, and (if you wish) draws a horizontal entry line at your chosen level.
Inputs and what they mean
Dip Hunter Settings
• Vol Lookback and Vol Spike : The script computes an average volume over the lookback window and flags a spike when current volume is a multiple of that average. A multiplier of 2.0 means today’s volume must be at least double the average. This helps filter noise and focuses on dips that other traders actually traded.
• Fast EMA and Slow EMA : Short-term and medium-term structure references. A dip is more credible if price closes below the fast EMA while the fast EMA is still below the slow EMA during the pullback. That is classic corrective behavior inside a larger trend.
• Price Smooth : Optional smoothing length for price-derived series. Use this if you trade very noisy assets or low timeframes.
• Volatility Len and Vol Spike (volatility) : The script checks both standard deviation and true range against their own averages. If either expands beyond your multiplier the market confirms the move with range.
• Dip % and Lookback Bars : The engine finds the highest high over the lookback window, then computes the percentage drawdown from that high to the current close. Only dips larger than your threshold qualify.
Trend Filter
• Enable Trend Filter : When on, Dip Hunter will only trigger if the market is in an uptrend.
• Trend EMA Period : The longer EMA that defines the session’s backbone trend.
• Minimum Trend Strength : A small positive slope requirement. In practice this means the trend EMA should be rising, and price should be above it. You can raise the value to be more selective.
Entries
• Show Entry Lines : Draws a horizontal guide from the signal bar for a fixed number of bars. Great for limit orders, scaling, or re-tests.
• Line Length (bars) : How far the entry guide extends.
• Min Gap (bars) : Suppresses new entry lines if another dip fired recently. Prevents clutter during choppy sequences.
• Entry Price : Choose the line level. “Low” anchors at the signal candle’s low. “Close” anchors at the signal close. “Dip % Level” anchors at the theoretical level defined by recent_high × (1 − dip%). This lets you work resting orders at a consistent discount.
Heat / Meter
• Color Bars by Score : Colors each candle using a red→white→green gradient. Red is overheated, green is prime dip territory, white is neutral.
• Show Meter Table : Adds a compact gradient strip with a pointer that tracks the current score.
• Meter Cells and Meter Position : Resolution and placement of the meter.
UI Settings
• Show Dip Signals : Plots green triangles under qualifying bars and tints the background very lightly.
• Show EMAs : Plots fast, slow, and the trend EMA (if the trend filter is enabled).
• Bullish, Bearish, Neutral colors : Theme controls for shapes, fills, and bar painting.
Core calculations explained simply
Recent high and dip percent
The script finds the highest high over Lookback Bars , calls it “recent high,” then calculates:
dip% = (recent_high − close) ÷ recent_high × 100.
If dip% is larger than Dip % , condition one passes.
Volume confirmation
It computes a simple moving average of volume over Vol Lookback . If current volume ÷ average volume > Vol Spike , we have a participation spike. It also checks 5-bar ROC of volume. If ROC > 50 the spike is forceful. This gets an extra score point.
Volatility confirmation
Two independent checks:
• Standard deviation of closes vs its own average.
• True range vs ATR.
If either expands beyond Vol Spike (volatility) the move has range. This prevents false triggers from quiet drifts.
Short-term structure
Price should close below the Fast EMA and the fast EMA should be below the Slow EMA at the moment of the dip. That is the anatomy of a pullback rather than a full breakdown.
Macro trend context (optional)
When Enable Trend Filter is on, the Trend EMA must be rising and price must be above it. The logic prefers “micro weakness inside macro strength” which is the highest probability pattern for buying dips.
Signal formation
A valid dip requires:
• dip% > threshold
• volume spike true
• volatility spike true
• close below fast EMA
• fast EMA below slow EMA
If the trend filter is enabled, a rising trend EMA with price above it is also required. When all true, the triangle prints, the background tints, and optional entry lines are drawn.
Scoring and visuals
Binary checks into a continuous score
Each component contributes to a score between 0 and 1. The script then rescales to a centered range (−50 to +50).
• Low or negative scores imply “overheated” conditions and are shaded toward red.
• High positive scores imply “ripe for a dip buy” conditions and are shaded toward green.
• The gradient meter repeats the same logic, with a pointer so you can read the state quickly.
Bar coloring
If you enable “Color Bars by Score,” each candle inherits the gradient. This makes sequences obvious. Red clusters warn you not to buy. White means neutral. Increasing green suggests the pullback is maturing.
EMAs and the trend EMA
• Fast EMA turns down relative to the slow EMA inside the pullback.
• Trend EMA stays rising and above price once the dip exhausts, which is your cue to focus on long setups rather than bottom fishing in downtrends.
Entry lines
When a fresh signal fires and no other signal happened within Min Gap (bars) , the indicator draws a horizontal level for Line Length bars. Use these lines for limit entries at the low, at the close, or at the defined dip-percent level. This keeps your plan consistent across instruments.
Alerts and what they mean
• Market Overheated : Score is deeply negative. Do not chase. Wait for green.
• Close To A Dip : Score has reached a healthy level but the full signal did not trigger yet. Prepare orders.
• Dip Confirmed : First bar of a fresh validated dip. This is the most direct entry alert.
• Dip Active : The dip condition remains valid. You can scale in on re-tests.
• Dip Fading : Score crosses below 0.5 from above. Momentum of the setup is fading. Tighten stops or take partials.
• Trend Blocked Signal : All dip conditions passed but the trend filter is offside. Either reduce risk or skip, depending on your plan.
How to trade with Dip Hunter
Classic pullback in uptrend
Turn on the trend filter.
Watch for a Dip Confirmed alert with green triangle.
Use the entry line at “Dip % Level” to stage a limit order. This keeps your entries consistent across assets and timeframes.
Initial stop under the signal bar’s low or under the next lower EMA band.
First target at prior swing high, second target at a multiple of risk.
If you use partials, trail the remainder under the fast EMA once price reclaims it.
Aggressive intraday scalps
Lower Dip % and Lookback Bars so you catch shallow flags.
Keep Vol Spike meaningful so you only trade when participation appears.
Take quick partials when price reclaims the fast EMA, then exit on Dip Fading if momentum stalls.
Counter-trend probes
Disable the trend filter if you intentionally hunt reflex bounces in downtrends.
Require strong volume and volatility confirmation.
Use smaller size and faster targets. The meter should move quickly from red toward white and then green. If it does not, step aside.
Risk management templates
Stops
• Conservative: below the entry line minus a small buffer or below the signal bar’s low.
• Structural: below the slow EMA if you aim for swing continuation.
• Time stop: if price does not reclaim the fast EMA within N bars, exit.
Position sizing
Use the distance between the entry line and your structural stop to size consistently. The script’s entry lines make this distance obvious.
Scaling
• Scale at the entry line first touch.
• Add only if the meter stays green and price reclaims the fast EMA.
• Stop adding on a Dip Fading alert.
Tuning guide by market and timeframe
Equities daily
• Dip %: 1.5 to 3.0
• Lookback Bars: 5 to 10
• Vol Spike: 1.5 to 2.5
• Volatility Len: 14 to 20
• Trend EMA: 100 or 200
• Keep trend filter on for a cleaner list.
Futures and FX intraday
• Dip %: 0.4 to 1.2
• Lookback Bars: 3 to 7
• Vol Spike: 1.8 to 3.0
• Volatility Len: 10 to 14
• Use Min Gap to avoid clusters during news.
Crypto
• Dip %: 3.0 to 6.0 for majors on higher timeframes, lower on 15m to 1h
• Lookback Bars: 5 to 12
• Vol Spike: 1.8 to 3.0
• ATR and stdev checks help in erratic sessions.
Reading the chart at a glance
• Green triangle below the bar: a validated dip.
• Light green background: the current bar meets the full condition.
• Bar gradient: red is overheated, white is neutral, green is dip-friendly.
• EMAs: fast below slow during the pullback, then reclaim fast EMA on the bounce for quality continuation.
• Trend EMA: a rising spine when the filter is on.
• Entry line: a fixed level to anchor orders and risk.
• Meter pointer: right side toward “Dip” means conditions are maturing.
Why this combination reduces false positives
Any single criterion will trigger too often. Dip Hunter demands a dip off a recent high plus a volume surge plus a volatility expansion plus corrective EMA structure. Optional trend alignment pushes odds further in your favor. The score and meter visualize how many of these boxes you are actually ticking, which is more reliable than a binary dot.
Limitations and practical tips
• Thin or illiquid symbols can spoof volume spikes. Use larger Vol Lookback or raise Vol Spike .
• Sideways markets will show frequent small dips. Increase Dip % or keep the trend filter on.
• News candles can blow through entry lines. Widen stops or skip around known events.
• If you see many back-to-back triangles, raise Min Gap to keep only the best setups.
Quick setup recipes
• Clean swing trader: Trend filter on, Dip % 2.0 to 3.0, Vol Spike 2.0, Volatility Len 14, Fast 20 EMA, Slow 50 EMA, Trend 100 EMA.
• Fast intraday scalper: Trend filter off, Dip % 0.7 to 1.0, Vol Spike 2.5, Volatility Len 10, Fast 9 EMA, Slow 21 EMA, Min Gap 10 bars.
• Crypto swing: Trend filter on, Dip % 4.0, Vol Spike 2.0, Volatility Len 14, Fast 20 EMA, Slow 50 EMA, Trend 200 EMA.
Summary
Dip Hunter is a focused pullback engine. It quantifies a real dip off a recent high, validates it with volume and volatility expansion, enforces corrective structure with EMAs, and optionally restricts signals to an uptrend. The score, bar gradient, and meter make reading conditions instant. Entry lines and alerts turn that read into an executable plan. Tune the thresholds to your market and timeframe, then let the tool keep you patient in red, selective in white, and decisive in green. Indicator
Indicator
Indicator
2-Year MA Multiplier [UAlgo]The 2-Year MA Multiplier is a technical analysis tool designed to assist traders and investors in identifying potential overbought and oversold conditions in the market. By plotting the 2-year moving average (MA) of an asset's closing price alongside an upper band set at five times this moving average, the indicator provides visual cues to assess long-term price trends and significant market movements.
🔶 Key Features
2-Year Moving Average (MA): Calculates the simple moving average of the asset's closing price over a 730-day period, representing approximately two years.
Visual Indicators: Plots the 2-year MA in forest green and the upper band in firebrick red for clear differentiation.
Fills the area between the 2-year MA and the upper band to highlight the normal trading range.
Uses color-coded fills to indicate overbought (tomato red) and oversold (cornflower blue) conditions based on the asset's closing price relative to the bands.
🔶 Idea
The concept behind the 2-Year MA Multiplier is rooted in the cyclical nature of markets, particularly in assets like Bitcoin. By analyzing long-term price movements, the indicator aims to identify periods of significant deviation from the norm, which may signal potential buying or selling opportunities.
2-year MA smooths out short-term volatility, providing a clearer view of the asset's long-term trend. This timeframe is substantial enough to capture major market cycles, making it a reliable baseline for analysis.
Multiplying the 2-year MA by five establishes an upper boundary that has historically correlated with market tops. When the asset's price exceeds this upper band, it may indicate overbought conditions, suggesting a potential for price correction. Conversely, when the price falls below the 2-year MA, it may signal oversold conditions, presenting potential buying opportunities.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results. Indicator
intellect_city - World Cycle - Ath & Atl - Logarithmic - Signal.Indicator Overview
INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Signal - The Pi Cycle Top and Bottom Oscillator is an adaptation of the original Pi Cycle Top chart. It compares the 111-Day Moving Average circle and the 2 * 350-Day Moving Average circle of Bitcoin’s Price. These two moving averages were selected as 350 / 111 = 3.153; An approximation of the important mathematical number Pi.
When the 111-Day Moving Average circle reaches the 2 * 350-Day Moving Average circle, it indicates that the market is becoming overheated. That is because the mid time frame momentum reference of the 111-Day Moving Average has caught up with the long timeframe momentum reference of the 2 * 350-Day Moving Average.
Historically this has occurred within 3 days of the very top of each market cycle.
When the 111 Day Moving Average circle falls back beneath the 2 * 350 Day Moving Average circle, it indicates that the market momentum of that cycle is significantly cooling down. The oscillator drops down into the lower green band shown where the 111 Day Moving Average is moving at a 75% discount relative to the 2 * 350 Day Moving Average.
Historically, this has highlighted broad areas of bear market lows.
IMPORTANT: You need to set a LOGARITHMIC graph. (The function is located at the bottom right of the screen)
IMPORTANT: The INTELLECT_city indicator is made for signal purchases of sales, there is also a strategic one from INTELLECT_city
IMPORTANT: The Chart shows all cycles, both buying and selling.
IMPORTANT: Suitable timeframes are 1 daily (recommended) and 1 weekly
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Описание на русском:
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Обзор индикатора
INTELLECT_city - World Cycle - ATH & ATL - Timeframe 1D and 1W - Logarithmic - Signal - Логарифмический - Сигнал - Осциллятор вершины и основания цикла Пи представляет собой адаптацию оригинального графика вершины цикла Пи. Он сравнивает круг 111-дневной скользящей средней и круг 2 * 350-дневной скользящей средней цены Биткойна. Эти две скользящие средние были выбраны как 350/111 = 3,153; Приближение важного математического числа Пи.
Когда круг 111-дневной скользящей средней достигает круга 2 * 350-дневной скользящей средней, это указывает на то, что рынок перегревается. Это происходит потому, что опорный моментум среднего временного интервала 111-дневной скользящей средней догнал опорный момент импульса длинного таймфрейма 2 * 350-дневной скользящей средней.
Исторически это происходило в течение трех дней после вершины каждого рыночного цикла.
Когда круг 111-дневной скользящей средней опускается ниже круга 2 * 350-дневной скользящей средней, это указывает на то, что рыночный импульс этого цикла значительно снижается. Осциллятор опускается в нижнюю зеленую полосу, показанную там, где 111-дневная скользящая средняя движется со скидкой 75% относительно 2 * 350-дневной скользящей средней.
Исторически это высветило широкие области минимумов медвежьего рынка.
ВАЖНО: Выставлять нужно ЛОГАРИФМИЧЕСКИЙ график. (Находиться функция с правой нижней части экрана)
ВАЖНО: Индикатор INTELLECT_city сделан для сигнальных покупок продаж, есть также и стратегический от INTELLECT_сity
ВАЖНО: На Графике видны все циклы, как на покупку так и на продажу.
ВАЖНО: Подходящие таймфреймы 1 дневной (рекомендовано) и 1 недельный
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Beschreibung - Deutsch
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Indikatorübersicht
INTELLECT_city – Weltzyklus – ATH & ATL – Zeitrahmen 1T und 1W – Logarithmisch – Signal – Der Pi-Zyklus-Top- und Bottom-Oszillator ist eine Anpassung des ursprünglichen Pi-Zyklus-Top-Diagramms. Er vergleicht den 111-Tage-Gleitenden-Durchschnittskreis und den 2 * 350-Tage-Gleitenden-Durchschnittskreis des Bitcoin-Preises. Diese beiden gleitenden Durchschnitte wurden als 350 / 111 = 3,153 ausgewählt; eine Annäherung an die wichtige mathematische Zahl Pi.
Wenn der 111-Tage-Gleitenden-Durchschnittskreis den 2 * 350-Tage-Gleitenden-Durchschnittskreis erreicht, deutet dies darauf hin, dass der Markt überhitzt. Das liegt daran, dass der Momentum-Referenzwert des 111-Tage-Gleitenden-Durchschnitts im mittleren Zeitrahmen den Momentum-Referenzwert des 2 * 350-Tage-Gleitenden-Durchschnitts im langen Zeitrahmen eingeholt hat.
Historisch gesehen geschah dies innerhalb von 3 Tagen nach dem Höhepunkt jedes Marktzyklus.
Wenn der Kreis des 111-Tage-Durchschnitts wieder unter den Kreis des 2 x 350-Tage-Durchschnitts fällt, deutet dies darauf hin, dass die Marktdynamik dieses Zyklus deutlich nachlässt. Der Oszillator fällt in das untere grüne Band, in dem der 111-Tage-Durchschnitt mit einem Abschlag von 75 % gegenüber dem 2 x 350-Tage-Durchschnitt verläuft.
Historisch hat dies breite Bereiche mit Tiefstständen in der Baisse hervorgehoben.
WICHTIG: Sie müssen ein logarithmisches Diagramm festlegen. (Die Funktion befindet sich unten rechts auf dem Bildschirm)
WICHTIG: Der INTELLECT_city-Indikator dient zur Signalisierung von Käufen oder Verkäufen, es gibt auch einen strategischen Indikator von INTELLECT_city
WICHTIG: Das Diagramm zeigt alle Zyklen, sowohl Kauf- als auch Verkaufszyklen.
WICHTIG: Geeignete Zeitrahmen sind 1 täglich (empfohlen) und 1 wöchentlich Indicator
MTF Williams Vix Market Bottoms [CryptoSea]MTF Williams Vix Fix Indicator is a dynamic tool tailored for traders looking to capture market extremes with high precision. This multi-timeframe indicator leverages the concept of the Williams Vix Fix to spot potential reversals before they occur.
Key Features
Multi-Timeframe Analysis: Provides simultaneous visibility across multiple timeframes, enabling traders to assess market conditions comprehensively from a single chart.
Advanced Volatility Detection: Utilizes a modified Vix Fix formula to highlight extreme price deviations, which often precede significant market reversals.
Customizable Settings: Offers extensive input options to tweak the lookback periods, percentile thresholds, and visibility settings, aligning with various trading strategies.
Visual Band Indicators: Features upper bands and range highs that signal potential overbought and oversold conditions, enhancing trading decision-making.
Below, you can see how the indicator performs across different timeframes, providing valuable insights into market behavior.
How it Works
Vix Fix Calculation: Determines the worst-case 'panic' sell-offs in price as a percentage of the high, capturing the emotional extremes of the market.
Statistical Bands: Employs Bollinger bands over the Vix Fix values to define normal and extreme volatility conditions.
Color-Coded Indicators: Uses color differentiation to instantly highlight when readings surpass critical upper band or range high thresholds, signaling key trading opportunities.
For instance, in the analysis provided below, notice how the indicator flags significant market moves, allowing traders to anticipate potential entry or exit points.
Application
Risk Management: Aids in identifying extreme market conditions where prices may revert, helping in effective position sizing and risk management.
Strategic Planning: Enhances strategic trading plans by identifying not only when but also where market extremes may occur, considering multiple timeframes.
Customization: Adapts seamlessly to different market environments with adjustable settings for volatility thresholds and visual display preferences.
The MTF Williams Vix Fix Indicator by is an essential tool for traders aiming to leverage market volatility for optimal entry and exit, ensuring they are well-equipped to handle market extremes with confidence.
Indicator
Tops & Bottoms - Day of Week Report█ OVERVIEW
The indicator tracks when the weekly tops and bottoms occur and reports the statistics by the days of the week.
█ CONCEPTS
Not all the days of the week are equal, and the market dynamic can follow through or shift over the trading week. Tops and bottoms are vital when entering a trade, as they will decide if you are catching the train or being straight offside. They are equally crucial when exiting a position, as they will determine if you are closing at the optimal price or seeing your unrealized profits vanish.
This indicator is before all for educational purposes. It aims to make the knowledge available to all traders, facilitate understanding of the various markets, and ultimately get to know your trading pairs by heart (and saving a lot of your time backtesting!).
USDJPY tops and bottoms percentages on any given week.
USDJPY tops and bottoms percentages on up weeks versus down weeks.
█ FEATURES
Custom interval
By default, the indicator uses the weekly interval defined by the symbol (e.g., Monday to Sunday). This option allows you to specify your custom interval.
Weekly interval type filter
Analyze the weekly interval on any weeks, up weeks, or down weeks.
Configurable time range filter
Select the period to report from.
█ NOTES
Trading session
The indicator analyzes the days of the week from the daily chart. The daily trading sessions are defined by the symbol (e.g., 17:00 - 17:00 on EURUSD).
Extended/electronic trading session
The indicator can include the extended hours when activated on the chart, using the 24-hour or 1440-minute timeframe.
█ HOW TO USE
Plot the indicator and navigate on the 1-day or 24-hour timeframe. Indicator
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BTFD strategy [3min]Hello
I would like to introduce a very simple strategy to buy lows and sell with minimal profit
This strategy works very well in the markets when there is no clear trend and in other words, the trend going sideways
this strategy works very well for stable financial markets like spx500, nasdaq100 and dow jones 30
two indicators were used to determine the best time to enter the market:
volume + rsi values
volume is usually the number of stocks or contracts traded over a certain period of time. Thus, it is an important indicator of market activity and liquidity. Each transaction constitutes an individual exchange between the buyer and the seller and constitutes the trading volume of a given instrument or asset.
The RSI measures the strength of uptrends versus downtrends. The signal is the entry or exit of the indicator value of the oversold or overbought level of the market. It is assumed that a value below or equal 30 indicates an oversold level of the market, and an RSI value above or equal 70 indicates an overbought level.
the strategy uses a maximum of 5 market entries after each candle that meets the condition
uses 5 target point levels to close the position:
tp1= 0.4%
tp2= 0.6%
tp3= 0.8%
tp4= 1.0%
tp5= 1.2%
after reaching a given profit value, a piece of the position is cut off gradually, where tp5 closes 100% of the remaining position
each time you enter a position, a stop loss of 5.0% is set, which is quite a high value, however, when buying each, sometimes very active downward price movement, you need a lot of space for market decisions in which direction it wants to go
to determine the level of stop loss and target point I used a piece of code by RafaelZioni , here is the script from which a piece of code was taken
this strategy is used for automation, however, I would recommend brokers that have the lowest commission values when opening and closing positions, because the strategy generates very high commission costs
Enjoy and trade safe ;)
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Indicator
Swing BoxesHey, folks!
Sorry for not posting anything for such a long time. Don't have enough ideas and resources to get inspiration, so trying to brainstorm good stuff in my free time from university studies.
But despite my absence more I now have 300+ people subscribed to me! Thanks, guys, for keeping interest for my work, as I still do value each boost on my script, for real :)
So here is new script , enjoy!
Swing Boxes is pretty simple indicator, which plots signals with "boxes", that help you determine price targets.
What is the idea behind?
I wanted to make indicator, that could help me make swing trades with nice accuracy (as all we want, lol), and for signal criteria I decided to use highs and lows of the price . Then I started coding some ideas to see which of them could be worthy. And, actually, Swing Boxes appeared to be good. But the thing is, that I didn't intend to build them, they appeared as an anomaly from my code :)
I started to explore this anomaly (it looked super cool, but was repainting hard) to fix it and I succeeded, now Swng Boxes don't repaint.
The main idea is that when price goes above it's highest value of p-bars back or below it's lowest value p-bars back, then there is a some god probability, that price will continue to follow current direction.
And the things about Swing Boxes is that when there is a good trend movement, the boxes become super small to track price movement and when price breaks out in the counter-trend direction, then you will be able to almost perfectly catch a top or a bottom! But most of the signals won't be so high-quality, so don't think that is this some holy grail to trade swing-trading, because it is not.
Signal logic
Quick hint:
- epsilon(variable e ) = ATR * ATR_Factor . It is used to determine box's sensitivity to price changes.
If previous close is higher than variable, which contains previous HIGHEST value (variable h in the code), then update the this variable by taking up-to-date highest value and add epsilon( e ) to it;
If previous close is lower than variable, which contains previous LOWEST value (variable l in the code), then update the this variable by taking up-to-date lowest value and substract epsilon( e ) from it.
Variables decribed above ( h and l ) are box's top and bottom respectively, so if price cross them, it is logical to update it is value.
Settings and what is what
Swing Box Period - numbers fo bars in the past to find highest and lowest price from. The bigger the input, the bigger the boxes will be;
ATR Period;
ATR Factor - multiplier for ATR, determines sensitivity for price changes. The bigger this input, the more accurate signals will be, but less the probability that the signal will be on the top or a bottom.
Show Boxes? - when chosen, plots box's top and bottom. Used to determine price targets.
Show Baseline? - when chosen, plot's baseline, which midline between box's top and bottom.
How to use?
This indicator plots green and red triangles by default.
- Green triangle --> Buy ;
- Red triangle --> Sell ;
As I've said before, many signals from indicator will probably be garbage, so you need to tune settings for youself, so it could satisfy you .
You can enable showing boxes to see box's top and bottom. Box's bottom --> your entry, top --> your profit target.
If you find a way to sort bad signals, you will be able to trade with super cool RR, because the signal from Swing Boxes appear to be a good one, there is almost 95% probability, that price will not even come close to your stop loss, so you can trade with super small stop-losses! Smaller stop-loss --> smaller risk --> smaller loss --> bigger profit, it is that easy.
Also you can enable baseline to use at as your 1st TP, and box's top/bottom as 2nd TP, closing 25% on TP1 and the rest on TP2 (but that is just mine recommendation, you can use different RM (risk-management), if you want).
Also you can use baseline as your S/R (Support/Resistance) line, test it out on your charts.
And please, hear me out: as all other indicators out here on the PulseWire, Swing Boxes ARE NOT meant to be traded in solo! Many bad signal can go in a row, so PLEASE find your way to filter out bad signals with other indicators.
You can see here the example of a garabge-class signal in a row, so be don't be deluded!
I do hope that somebody will suggest and idea to improve this thing, as I personally don't have enough time to think about it because of my university studies, but I will probably try it make this thing better throughout the time.
And that's it for now, folks! If you have any ideas for scripts, strategies or anything else, feel free to DM me or leave a comment, I will check it.
Hope you will find this script useful.
Take your profits!
- Tarasenko Fyodor Indicator
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Williams Vix Fix Bottoms and TopsThis indicator uses the very popular Williams Vix Fix for Bottoms by Chris Moody but not only does it search for bottoms, it can also be switch to work for tops for those who look to short the market. I've also added in a few options like flipping the indicator, color adjustments on the settings page, as well as cut a few of the options I feel did not need to be in which cluttered the screen when the settings were opened. In his later revisions of the Williams Vix Fix, CM took out the functions which draw the high/low ranges as well as the standard deviation which is what this indicator uses to show entry points. I have added options back on to draw these, I think it's useful. To be honest, I have not messed around with the number settings much so I am not sure how adjusting the look back range or going for smaller / bigger percentage changes would change how well the indicator works. It seems to work very well at its default settings.
With the Bollinger Band deviation, you have to remember that it looks back at the set amount of candles (20 by default) and uses those for the standard deviation: 1 dev = 68%, 2 dev = 95%, 3 dev = 99.7%
These percentages mean that at 2 dev, 95% of the last 20 candles will remain within the boundaries of the Bollinger Bands. Three tends to be too high, one is usually too low. Two is pretty good.
The lowest percentile option probably won't change much other than bring up the bottom line which doesn't effect the alerts or signals, just something to observe.
The highest percentile option makes a difference similar to the stand deviation and Bollinger Band. The higher you put it, the less likely it will get triggered but the more reliant it of a signal it should be.
As always, I have left notes throughout the code and I did leave in the code that was original but commented it out as I don't believe it's worth having.
I like to have the high/lows drawn, as well as the standard deviation. Then I find that the filtered entries are most accurate signals to follow. Simple entry is hit or miss, Aggressive entry is always early but sometimes that's not a great thing. Indicator
