SuperTrend BUY SELL Color//@version=6
indicator("SuperTrend by Cell Color", overlay=true, precision=2)
// --- Parametreler ---
atrPeriod = input.int(10, "ATR Periyodu")
factor = input.float(3.0, "Çarpan")
showTrend = input.bool(true, "Trend Renkli Hücreleri Göster")
// --- ATR Hesaplama ---
atr = ta.atr(atrPeriod)
// --- SuperTrend Hesaplama ---
up = hl2 - factor * atr
dn = hl2 + factor * atr
var float trendUp = na
var float trendDown = na
var int trend = 1 // 1 = bullish, -1 = bearish
trendUp := (close > trendUp ? math.max(up, trendUp ) : up)
trendDown := (close < trendDown ? math.min(dn, trendDown ) : dn)
trend := close > trendDown ? 1 : close < trendUp ? -1 : trend
// --- Renkli Hücreler ---
barcolor(showTrend ? (trend == 1 ? color.new(color.green, 0) : color.new(color.red, 0)) : na)
// --- SuperTrend Çizgileri ---
plot(trend == 1 ? trendUp : na, color=color.green, style=plot.style_line, linewidth=2)
plot(trend == -1 ? trendDown : na, color=color.red, style=plot.style_line, linewidth=2)
Phân tích Xu hướng
Renkli EMA_MA CROSS
indicator("Renkli MA Kesişimi + Oklar", overlay=true, precision=2
fastLen = input.int(20, "Hızlı MA (Fast)")
slowLen = input.int(50, "Yavaş MA (Slow)")
maType = input.string("EMA", "MA Tipi", options= )
showArrows = input.bool(true, "Okları Göster")
fastMA = maType == "EMA" ? ta.ema(close, fastLen) : ta.sma(close, fastLen)
slowMA = maType == "EMA" ? ta.ema(close, slowLen) : ta.sma(close, slowLen)
barcolor(fastMA > slowMA ? color.new(color.green, 0) : color.new(color.red, 0))
longSignal = ta.crossover(fastMA, slowMA)
shortSignal = ta.crossunder(fastMA, slowMA)
plotshape(showArrows and longSignal, title="Al", style=shape.labelup, location=location.belowbar, color=color.green, size=size.large, text="AL")
plotshape(showArrows and shortSignal, title="Sat", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.large, text="SAT")
plot(fastMA, color=color.blue, title="Hızlı MA")
plot(slowMA, color=color.orange, title="Yavaş MA")
EMA COLOR BUY SELL
indicator("EMA Tabanlı Renkli İndikatör", overlay=true)
emaLength = input.int(21, "EMA Periyodu")
fastEMA = ta.ema(close, emaLength)
slowEMA = ta.ema(close, emaLength * 2)
trendUp = fastEMA > slowEMA
trendDown = fastEMA < slowEMA
barcolor(trendUp ? color.new(color.green, 0) : trendDown ? color.new(color.red, 0) : color.gray)
plot(fastEMA, color=trendUp ? color.green : color.red, title="Fast EMA", linewidth=2)
plot(slowEMA, color=color.blue, title="Slow EMA", linewidth=2)
Renkli Parabolic SAR - Sade Versiyon//@version=5
indicator("Renkli Parabolic SAR - Sade Versiyon", overlay=true)
// === PSAR Ayarları ===
psarStart = input.float(0.02, "PSAR Başlangıç (Step)", step=0.01)
psarIncrement = input.float(0.02, "PSAR Artış (Increment)", step=0.01)
psarMax = input.float(0.2, "PSAR Maksimum (Max)", step=0.01)
// === PSAR Hesaplama ===
psar = ta.sar(psarStart, psarIncrement, psarMax)
// === Trend Tespiti ===
bull = close > psar
bear = close < psar
// === Renk Ayarları ===
barColor = bull ? color.new(color.green, 0) : color.new(color.red, 0)
psarColor = bull ? color.green : color.red
bgColor = bull ? color.new(color.green, 90) : color.new(color.red, 90)
// === Mum ve PSAR ===
barcolor(barColor)
plotshape(bull, title="PSAR Bull", location=location.belowbar, style=shape.circle, size=size.tiny, color=color.green)
plotshape(bear, title="PSAR Bear", location=location.abovebar, style=shape.circle, size=size.tiny, color=color.red)
// === Arka Plan ===
bgcolor(bgColor)
// === Al / Sat Sinyalleri ===
buySignal = ta.crossover(close, psar)
sellSignal = ta.crossunder(close, psar)
plotshape(buySignal, title="AL", location=location.belowbar, style=shape.triangleup, size=size.large, color=color.lime)
plotshape(sellSignal, title="SAT", location=location.abovebar, style=shape.triangledown, size=size.large, color=color.red)
// === Alarm Koşulları ===
alertcondition(buySignal, title="AL Sinyali", message="Parabolic SAR Al Sinyali")
alertcondition(sellSignal, title="SAT Sinyali", message="Parabolic SAR Sat Sinyali")
Renkli EMA Crossover//@version=5
indicator("Renkli EMA Crossover", overlay=true)
// EMA periyotları
fastLength = input.int(9, "Hızlı EMA")
slowLength = input.int(21, "Yavaş EMA")
// EMA hesaplama
fastEMA = ta.ema(close, fastLength)
slowEMA = ta.ema(close, slowLength)
// EMA renkleri
fastColor = fastEMA > fastEMA ? color.green : color.red
slowColor = slowEMA > slowEMA ? color.blue : color.orange
// EMA çizgileri (agresif kalın)
plot(fastEMA, color=fastColor, linewidth=3, title="Hızlı EMA")
plot(slowEMA, color=slowColor, linewidth=3, title="Yavaş EMA")
// Kesişimler
bullCross = ta.crossover(fastEMA, slowEMA)
bearCross = ta.crossunder(fastEMA, slowEMA)
// Oklarla sinyal gösterimi
plotshape(bullCross, title="Al Sinyali", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large)
plotshape(bearCross, title="Sat Sinyali", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large)
RMA Trend
indicator("RMA Trend İndikatörü", overlay=true, timeframe="", timeframe_gaps=true)
length = input.int(14, "RMA Periyodu", minval=1)
src = input(close, "Kapanış Kaynağı")
rma_val = ta.rma(src, length)
rma_color = rma_val > rma_val ? color.new(color.lime, 0) : color.new(color.red, 0)
plot(rma_val, title="RMA", color=rma_color, linewidth=3
longSignal = ta.crossover(src, rma_val)
shortSignal = ta.crossunder(src, rma_val)
plotshape(longSignal, title="AL Sinyali", style=shape.triangleup, location=location.belowbar, color=color.new(color.lime, 0), size=size.large, text="AL")
plotshape(shortSignal, title="SAT Sinyali", style=shape.triangledown, location=location.abovebar, color=color.new(color.red, 0), size=size.large, text="SAT")
bgcolor(rma_val > rma_val ? color.new(color.lime, 90) : color.new(color.red, 90))
HA Line + Trend Oklar//@version=5
indicator("HA Line + Trend Oklar", overlay=true)
// Heiken Ashi hesaplamaları
haClose = (open + high + low + close) / 4
var float haOpen = na
haOpen := na(haOpen) ? (open + close) / 2 : (haOpen + haClose ) / 2
haHigh = math.max(high, math.max(haOpen, haClose))
haLow = math.min(low, math.min(haOpen, haClose))
// Trend yönüne göre renk
haColor = haClose >= haClose ? color.green : color.red
// HA kapanış çizgisi
plot(haClose, color=haColor, linewidth=3, title="HA Close Line")
// Agresif oklar ile trend gösterimi
upArrow = ta.crossover(haClose, haClose )
downArrow = ta.crossunder(haClose, haClose )
plotshape(upArrow, title="Up Arrow", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.large)
plotshape(downArrow, title="Down Arrow", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large)
Basit Trend AL/SAT//@version=5
indicator("Basit Trend AL/SAT", overlay=true)
yesil = close > open
kirmizi = close < open
1 = yeşil, -1 = kırmızı, 0 = başlangıç
var int trend = 0
trend := yesil ? 1 : kirmizi ? -1 : trend
al = yesil and trend != 1
sat = kirmizi and trend != -1
plotshape(al, title="AL", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.large, text="AL")
plotshape(sat, title="SAT", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large, text="SAT")
bgcolor(trend == 1 ? color.new(color.green, 85) : trend == -1 ? color.new(color.red, 85) : na)
Hull MA Al-Sat/@version=6
indicator("Hull MA Al-Sat", overlay=true, max_lines_count=500, max_labels_count=500)
// Kullanıcı girişi
length = input.int(21, "HMA Periyodu")
hma_source = input.source(close, "HMA Kaynağı")
plotThickness = input.int(3, "Çizgi Kalınlığı")
// HMA hesaplama
wma1 = ta.wma(hma_source, math.round(length / 2))
wma2 = ta.wma(hma_source, length)
diff = 2 * wma1 - wma2
hma = ta.wma(diff, math.round(math.sqrt(length)))
// Renkli çizgi
hmaColor = hma > hma ? color.green : color.red
plot(hma, color=hmaColor, linewidth=plotThickness)
// Al/Sat okları
plotshape(ta.crossover(hma, hma ), title="Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.large)
plotshape(ta.crossunder(hma, hma ), title="Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large)
ZLSMA Trend + Al/Sat Sinyali/@version=6
indicator("ZLSMA Trend + Al/Sat Sinyali", overlay=true, max_labels_count=500)
length = input.int(25, "ZLSMA Periyodu")
src = input.source(close, "Kaynak")
thickness = input.int(4, "Çizgi Kalınlığı")
colorUp = input.color(color.new(color.lime, 0), "Yükselen Renk")
colorDown = input.color(color.new(color.red, 0), "Düşen Renk")
ema1 = ta.ema(src, length)
ema2 = ta.ema(ema1, length)
zlsma = 2 * ema1 - ema2
trendUp = zlsma > zlsma
trendDown = zlsma < zlsma
zlsmaColor = trendUp ? colorUp : colorDown
plot(zlsma, title="ZLSMA", color=zlsmaColor, linewidth=thickness)
buySignal = ta.crossover(close, zlsma)
sellSignal = ta.crossunder(close, zlsma)
plotshape(buySignal, title="Al", location=location.belowbar, color=color.new(color.lime, 0), style=shape.triangleup, size=size.large, text="AL")
plotshape(sellSignal, title="Sat", location=location.abovebar, color=color.new(color.red, 0), style=shape.triangledown, size=size.large, text="SAT")
bgcolor(trendUp ? color.new(color.lime, 90) : color.new(color.red, 90))
T3 MA Basit ve Stabil//@version=5
indicator("T3 MA Basit ve Stabil", overlay=true)
length = input.int(14, "T3 Length")
vFactor = input.float(0.7, "vFactor")
lineWidth = input.int(3, "Çizgi Kalınlığı")
ema1 = ta.ema(close, length)
ema2 = ta.ema(ema1, length)
ema3 = ta.ema(ema2, length)
ema4 = ta.ema(ema3, length)
ema5 = ta.ema(ema4, length)
ema6 = ta.ema(ema5, length)
c1 = -vFactor * vFactor * vFactor
c2 = 3 * vFactor * vFactor + 3 * vFactor * vFactor * vFactor
c3 = -6 * vFactor * vFactor - 3 * vFactor - 3 * vFactor * vFactor * vFactor
c4 = 1 + 3 * vFactor + vFactor * vFactor * vFactor + 3 * vFactor * vFactor
t3 = c1*ema6 + c2*ema5 + c3*ema4 + c4*ema3
colorUp = color.green
colorDown = color.red
col = t3 > t3 ? colorUp : colorDown
plot(t3, color=col, linewidth=lineWidth)
barcolor(col)
plotshape(t3 > t3 and t3 <= t3 , location=location.belowbar, color=colorUp, style=shape.triangleup, size=size.small)
plotshape(t3 < t3 and t3 >= t3 , location=location.abovebar, color=colorDown, style=shape.triangledown, size=size.small)
Parabolic SAR (PSAR) - Basit//@version=5
indicator("Parabolic SAR (PSAR) - Basit", overlay=true)
start = input.float(0.02, "Start (Step)", step=0.01)
increment = input.float(0.02, "Increment", step=0.01)
maximum = input.float(0.2, "Maximum", step=0.01)
showDots = input.bool(true, "Dotları Göster")
showLine = input.bool(false, "PSAR Çizgisi Göster")
bgTrend = input.bool(true, "Arka planı trende göre renklendir")
psar = ta.sar(start, increment, maxim
bull = close > psar
bear = close < psar
psarColor = bull ? color.green : color.
plot(showLine ? psar : na, title="PSAR Line", color=psarColor, linewi
plotshape(showDots and bull, title="PSAR Bull Dot", location=location.belowbar, style=shape.circle, size=size.tiny, color=color.green)
plotshape(showDots and bear, title="PSAR Bear Dot", location=location.abovebar, style=shape.circle, size=size.tiny, color=color.red)
bgcolor(bgTrend ? (bull ? color.new(color.green, 90) : color.new(color.red, 90)) : n
buySignal = ta.crossover(close, psar)
sellSignal = ta.crossunder(close, psa
plotshape(buySignal, title="AL Sinyali", location=location.belowbar, style=shape.triangleup, size=size.small, color=color.green)
plotshape(sellSignal, title="SAT Sinyali", location=location.abovebar, style=shape.triangledown, size=size.small, color=color.red)
alertcondition(buySignal, title="AL (PSAR flip)", message="PSAR flip: AL sinyali")
alertcondition(sellSignal, title="SAT (PSAR flip)", message="PSAR flip: SAT sinyali")
Pops Dividend 7-Day RadarHow traders use it as a strategy anyway 🧠
In real life, this becomes a manual or semi-systematic strategy:
Strategy logic (human-driven):
Scan for highest yield stocks
Filter for ex-date within 7 days
Apply technical rules (trend, EMAs, support)
Enter before ex-date
Exit:
Before ex-date (momentum run-up)
On ex-date
Or after dividend (reversion play)
Indicator’s role:
“Tell me when a stock qualifies so I can decide how to trade it.”
That’s exactly what this tool does.
How we could turn this into a strategy-style framework
Even though Pine won’t let us backtest dividends properly, we can:
Build a rules-based checklist (entry/exit rules)
Create alerts that behave like strategy triggers
Combine with:
EMA trend filters
Volume conditions
ATR-based exits
Label it as:
“Pops Dividend Capture Playbook” (manual execution)
This keeps it honest, legal, and reliable.
Bottom line
🧩 Indicator = what we built
📘 Strategy = how you trade it using the indicator
⚠️ TradingView limitations prevent a true dividend strategy backtest
Nooner's Heikin-Ashi/Bull-Bear CandlesCandles are colored red and green when Heikin-Ashi and Bull/Bear indicator agree. They are colored yellow when they disagree.
Resampling Reverse Engineering Bands XRREB X: Visual Oscillator Projection Bands
Based on the innovative "Resampling Reverse Engineering" concept pioneered by Donovan Wall, this enhanced script fixes the core mathematical symmetry and provides anchored, non-repainting bands for reliable analysis.
This indicator transforms any RSI, Stochastic, or CCI calculation directly onto your price chart as dynamic support/resistance bands. Instead of watching an oscillator below your chart, you see its overbought/oversold levels projected as price levels the market must reach.
RREB X reverses standard oscillator formulas to answer one question: "What price must the market reach for my chosen oscillator to hit an extreme level like RSI=70, Stoch=80, or CCI=100?" It then plots these levels as actionable bands.
Key Improvements
Adjustable Oscillator Values - While the original was hard coded the reverse engineered oscillator length which limited its usefulness, this script finally allows you to visualize any length oscillator as dynamic OB/OS regions directly on the chart.
Dynamic OB/OS levels: This version also lets you dynamically adjust the OB/OS levels location, making bands tighter or wider as your strategy demands.
Mathematical Symmetry: Outer bands are perfect mirrors, providing reliable projected levels.
Fixed Anchoring: Bands don't repaint historically, offering stable reference lines.
Direct Price Translation: Oscillator overbought/oversold conditions are visualized as clear price levels.
The Band Calculation Type switch lets you project different oscillator logics, each with unique characteristics for different market conditions.
RRSI - General trend & momentum. Change RSI Period (e.g., 7 for fast, 21 for slow). Adjust OB/OS (e.g., 80/20 for strong trends). The bands show the price needed to push your custom RSI into overbought/oversold territory.
RStoch - Ranging markets & short-term reversals. Focus on the Stochastic Period. The projected bands are highly sensitive to recent highs/lows. Excellent for spotting reversals at the edges of a range.
RCCI - Strong trends & volatile markets. Use a higher Outer Bands Multiplier. CCI's lack of upper/lower bounds means bands reflect extreme momentum shifts. Great for identifying explosive breakout or breakdown levels in trends.
Use Middle Band as Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for shorts. Same as the 50 midline on the RSI or Stochastic or 0 for CCI.
Customizing the Calculation:
The power lies in changing the oscillator lengths that the bands reflect. Adjust these in the settings:
Change from 14 to 7 for faster, more reactive bands, or to 21 for slower, smoother bands.
Overbought/Oversold: Change from 70/30 to 80/20 for stronger-trend filters, or to 60/40 for more frequent signals.
Trading the Bands:
Bands as Dynamic S/R: The solid cyan (Upper 100) and magenta (Lower 0) bands act as dynamic support and resistance. A touch and reversal can signal a trade.
Gradient as Momentum: The colored fills between bands visually represent the "pressure" needed to reach the next oscillator level.
Middle Band as Trend Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for short setups.
Multiple Horizontal Lines_SanHorizontal lines can be drawn with given coordinates with defined intervals
Daily Levels [cryptalent]Daily High / Low / Mid / Open Levels is a session-based reference indicator designed to visualize key daily price levels directly on the chart.
This indicator automatically plots the Daily High, Daily Low, Daily Midpoint (High + Low / 2), and Daily Open as horizontal lines for each trading day. These levels help traders quickly identify important structural prices where liquidity, reactions, or acceptance often occur.
Key Features
Automatic Daily Levels
Plots Daily High (H), Low (L), Mid (M), and Open (O) using higher-timeframe daily data.
Levels update in real time as the current day develops.
Multi-Day History
Displays daily levels for a configurable number of past days.
Older levels are automatically removed to keep the chart clean.
Line Extension
Current day levels can be extended forward by a user-defined number of bars.
Useful for projecting intraday reaction zones and liquidity targets.
Visual Customization
Independent line width and color settings for each level.
Mid level is shown as a dashed line for quick visual distinction.
Labels & Price Tags
Optional letter labels (H / L / M / O) displayed near the extended levels.
Optional price labels showing the exact level values on the right side of the chart.
Labels update dynamically and only display for the active trading day.
Performance-Oriented Design
Efficient line and label management using arrays.
Automatically cleans up unused objects to stay within TradingView limits.
Use Cases
Identifying intraday support and resistance
Tracking daily range behavior
Monitoring mean reversion vs. range expansion
Aligning intraday execution with higher-timeframe structure
This indicator is particularly useful for traders who rely on market structure, session behavior, and objective price references rather than subjective trend lines.
Quantum Darvas BoxesQuantum Darvas Boxes - The Modern Evolution
The original Darvas Box methodology, conceived by Nicolas Darvas in the 1950s, revolutionized breakout trading by identifying consolidation phases as "boxes." However, modern markets move with algorithmic speed and fractal volatility that often trigger false breakouts. Quantum Darvas Boxes were designed not as a nostalgic tribute, but as a computational upgrade. By anchoring boxes to volatility-adjusted boundaries rather than raw highs/lows, and introducing adaptive stability mechanisms, this indicator transforms a classic discretionary tool into a systematic, noise-filtered engine.
Description & Improvements
Quantum Darvas Boxes solve the three fatal flaws of the original: false breakouts, arbitrary box sizing, and lack of confirmation. Instead of drawing boxes at exact recent highs/lows, it creates volatility-buffered boundaries using ATR, ensuring breakouts require meaningful momentum. The boxes remain anchored until a confirmed close beyond the buffer occurs, preventing the constant redrawing that plagued traditional Darvas implementations. Built-in volume and RSI filters add discretionary-grade confirmation to pure price action. Visually, the system presents as a stable, semi-transparent blue zone between red (resistance) and lime (support) lines, with clear triangle signals appearing only on validated breakouts.
How It's Based on Darvas
The core philosophy remains true to Darvas' 1950s methodology:
Identify Consolidation: Finds price ranges where the market consolidates
Draw Box: Creates a "box" representing the accumulation zone
Breakout Trading: Enters when price breaks out of the box with momentum
Volatility-Adjusted Boundaries
Original: Boxes at exact highs/lows → prone to false breakouts
QDB: Boxes set at High - (ATR × Multiplier) and Low + (ATR × Multiplier)
→ Breakouts require meaningful momentum, not just price tags
→ Adapts to different volatility regimes
Signal Logic:
Long: Close above box top, previous close was inside box
Short: Close below box bottom, previous close was inside box
Ideal Settings:
For daily charts, use lookback=13 and mult=2.4.
For intraday (1H-4H), reduce to lookback=8 and mult=1.8. Enable volume filter in trending markets and RSI filter in ranging conditions.
Trade Execution: Enter long on the green triangle below the bar following a close above the red top line; enter short on the red triangle above the bar after a close below the lime bottom line. The background glow provides immediate visual confirmation.
Risk Management: Set stops at the opposite box boundary. The volatility multiplier inherently calculates a risk buffer—larger multipliers create wider, higher-conviction boxes; smaller multipliers produce more frequent, sensitive signals. This system excels in trending markets and provides clear exit/reversal points, transforming Darvas's original speculation into a quantified, repeatable edge.
Take Profit XTake Profit X
Take Profit X solves the #1 problem in trading: knowing when to exit. Instead of guessing or using single indicators, it aggregates 8 technical signals to identify high-probability exit points through multi-confirmation consensus. This eliminates premature exits and emotional decision-making.
The indicator counts confirmations from your chosen technical tools:
Green dot = Multiple signals say "take profit on longs/exit shorts"
Red dot = Multiple signals say "take profit on shorts/exit longs"
Signals appear when you reach the minimum confirmations threshold you set.
Possible Settings:
Conservative (Swing Trading)
pine
Minimum Confirmations: 4
Use: RSI, MACD, CCI, Supertrend, Price Action
Disable: Stochastic, Bollinger Bands, EMA Cross
Look Back Bars: 10
Aggressive (Day Trading)
pine
Minimum Confirmations: 2
Use: All indicators ON
Look Back Bars: 3-5
RSI OB/OS: 75/25
Balanced (Most Markets)
pine
Minimum Confirmations: 3
Use: RSI, MACD, CCI, Supertrend
Price Action: ON
Look Back Bars: 5-7
Ultimate Reversion BandsURB – The Smart Reversion Tool
URB Final filters out false breakouts using a real retest mechanism that most indicators miss. Instead of chasing wicks that fail immediately, it waits for price to confirm rejection by retesting the inner band—proving sellers/buyers are truly exhausted.
Eliminates fakeouts – The retest filter catches only genuine reversions
Triple confirmation – Wick + retest + optional volume/RSI filters
Clear visuals – Outer bands show extremes, inner bands show retest zones
Works on any timeframe – From scalping to swing trading
Perfect for traders tired of getting stopped out by false breakouts.
Core Construction:
Smart Dynamic Bands:
Basis = Weighted hybrid EMA of HLC3, SMA, and WMA
Outer Bands = Basis ± (ATR × Multiplier)
Inner Bands = Basis ± (ATR × Multiplier × 0.5) → The "retest zone"
The Unique Filter: The Real Retest
Step 1: Identify an extreme wick touching the outer band
Step 2: Wait 1-3 bars for price to return and touch the inner band
Why it works: Most false breakouts never retest. A genuine reversal shows seller/buyer exhaustion by allowing price to come back to the "halfway" level.
Optional Confirmations:
Volume surge filter (default ON)
RSI extremes filter (optional)
Each can be toggled ON/OFF
How to Use:
Watch for extreme wicks touching the red/lime outer bands
Wait for the retest – price must return to touch the inner band (dotted line) within 3 bars
Enter on confirmation with built-in volume/RSI filters
Set stops beyond the extreme wick
Vortex Imbalance DetectorVortex Imbalance Detector (VID)
Core Purpose:
To spot "fresh" institutional order flow entering the market, aiming to catch the early stage of a potential reversal driven by an imbalance between aggressive buyers and sellers.
It looks for moments when a surge in buying or selling pressure coincides with a sharp acceleration in price momentum at a market extreme.
The Vortex Imbalance Detector identifies high-probability reversal points by detecting simultaneous shifts in order flow (buy/sell pressure) and price momentum acceleration.
What It Does:
Order Flow Proxy: Creates a cumulative delta-like metric using price action (body vs. range) to estimate net buying or selling pressure.
Momentum Vortex: Calculates price acceleration (the rate of change of velocity) to gauge the force behind a move.
Imbalance Signal: Triggers when both conditions align:
Flow Flip: The order flow proxy crosses above/below zero with significant strength (exceeding a threshold).
Vortex Reversal: The momentum acceleration confirms the direction (positive for buys, negative for sells).
Price Extreme: The signal occurs at a recent low (for buys) or high (for sells).
Output:
Buy Signal (▲): A bullish order flow imbalance with upward momentum acceleration at a short-term low.
Sell Signal (▼): A bearish order flow imbalance with downward momentum acceleration at a short-term high.
Short-Term Bubble Risk [Phantom] Short-Term Bubble Risk
Concept
This indicator visualizes short-term market risk by measuring how far price is stretched relative to its recent weekly trend.
Instead of focusing on absolute price levels, it looks at price behavior.
A similar reading means similar market conditions, whether price is high or low.
The goal is to help identify areas of potential accumulation and potential distribution in a clear, visual way.
How It Works
The indicator compares the weekly closing price to a weekly moving average and displays the deviation as a histogram.
When price is far below its average, risk is considered lower
When price is far above its average, risk is considered higher
The zero line represents fair value, where price equals its weekly average.
Features
Color-coded histogram showing short-term risk levels
Designed to work across different assets and price ranges
Optional bar coloring on the main chart using weekly risk data
Safe to use on any timeframe (risk is calculated on weekly data)
Settings
# Moving Average Length (Weeks):
Adjusts how sensitive the indicator is to price changes
# Color Visibility Toggles:
Allows hiding or showing specific risk zones
# Bar Coloring:
Option to color chart candles based on weekly risk levels
Usage
This indicator is best used as a risk lens, not a timing tool.
Common uses include:
Identifying potential accumulation zones during weakness
Spotting overextended conditions during strong moves
Comparing short-term risk across different assets
Adding context to trend-following or DCA strategies
Trade Ideas
# Lower-risk zones (cool colors):
Can support accumulation or patience during downtrends
# Higher-risk zones (warm colors):
Can signal caution, reduced exposure, or profit-taking
Always combine with:
Trend direction
Market structure
Higher-timeframe context
Limitations
This indicator does not predict tops or bottoms
High risk can remain high during strong trends
Low risk does not guarantee immediate reversals
It should not be used as a standalone trading system.
Disclaimer
This indicator is for educational and informational purposes only.
It is not financial advice.
Always do your own research and manage risk appropriately.
Directional Movement Index (SHADED)Shaded red in between DMI lines when DMI- > DMI+
Shaded blue in between DMI lines when DMI+ > DMI-
