RSI Diode PanelA small and clean RSI panel that simultaneously shows the 15m, 30m, 1h, 2h, 4h, and 1d timeframes, which can help you with basic trend orientation.
Osciladores
BUY-SIGNAL Pro - 10 Indicators - Strategy Godinho 2Best 10 indicators
Strong buy YELLOW
Buy GREEN
Hold PINK
Sell RED
Bollinger Bands % | QuantEdgeB📊 Introducing Bollinger Bands % (BB%) by QuantEdgeB
🛠️ Overview
BB% | QuantEdgeB is a volatility-aware momentum tool that maps price within a Bollinger envelope onto a normalized scale. By letting you choose the base moving average (SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA) and even Heikin-Ashi sources, it adapts to your style while keeping readings consistent across symbols and timeframes. Clear thresholds and color-coded visuals make it easy to spot emerging strength, fading moves, and potential mean-reversions.
✨ Key Features
• 🔹 Flexible Baseline
Pick from 12 MA types (plus Heikin-Ashi source option) to tailor responsiveness and smoothness.
• 🔹 Normalized Positioning
Price is expressed as a percentage of the band range, yielding an intuitive 0–100 style read (can exceed in extreme trends).
• 🔹 Actionable Thresholds
Default Long 55 / Short 45 levels provide simple, objective triggers.
• 🔹 Visual Clarity
Color-coded candles, shaded OB/OS zones, and adaptive color themes speed up decision-making.
• 🔹 Ready-to-Alert
Built-in alerts for long/short transitions.
📐 How It Works
1️⃣ Band Construction
A moving average (your choice) defines the midline; volatility (standard deviation) builds upper/lower bands.
2️⃣ Normalization
The indicator measures where price sits between the lower and upper band, scaling that into a bounded oscillator (BB%).
3️⃣ Signal Logic
• ✅ Long when BB% rises above 55 (strength toward the top of the envelope).
• ❌ Short when BB% falls below 45 (weakness toward the bottom).
4️⃣ OB/OS Context
Shaded regions above/below typical ranges highlight exhaustion and potential snap-backs.
⚙️ Custom Settings
• Base MA Type: SMA, EMA, DEMA, TEMA, HMA, ALMA, EHMA, THMA, RMA, WMA, VWMA, T3, LSMA
• Source Mode: Classic price or Heikin-Ashi (close/open/high/hlc3)
• Base Length: default 40
• Band Width: standard deviation-based (2× SD by default)
• Long / Short Thresholds: defaults 55 / 45
• Color Mode: Alpha, MultiEdge, TradingSuite, Premium, Fundamental, Classic, Warm, Cold, Strategy
• Candles & Labels: optional candle coloring and signal markers
👥 Ideal For
✅ Trend Followers — Ride strength as price compresses near the upper band.
✅ Swing/Mean-Reversion Traders — Fade extremes when BB% stretches into OB/OS zones.
✅ Multi-Timeframe Analysts — Compare band position consistently across periods.
✅ System Builders — Use BB% as a normalized feature for strategies and filters.
📌 Conclusion
BB% | QuantEdgeB delivers a clean, normalized read of price versus its volatility envelope—adaptable via rich MA/source options and easy to automate with thresholds and alerts.
🔹 Key Takeaways:
1️⃣ Normalized view of price inside the volatility bands
2️⃣ Flexible baseline (12+ MA choices) and Heikin-Ashi support
3️⃣ Straightforward 55/45 triggers with clear visual context
📌 Disclaimer: Past performance is not indicative of future results. No strategy guarantees success.
📌 Strategic Advice: Always backtest, tune parameters, and align with your risk profile before live trading.
Dual Custom Index with SpreadDual Custom Index with Spread
Create powerful custom indices from any instruments and analyze their relative strength dynamics
Overview
This advanced indicator allows you to build two completely customizable indices from your choice of instruments and analyze their spread relationship. Perfect for inter-market analysis, sector rotation strategies, currency strength comparisons, and sophisticated relative performance studies.
Key Features
🔧 Fully Customizable Index Construction
Build each index from up to 6 instruments with individual weightings
Enable/disable instruments on the fly without losing settings
Automatic weight validation ensures mathematically accurate calculations
Invert functionality for instruments that move opposite to index strength
📊 Advanced ADX-Based Methodology
Uses sophisticated ADX +DI/-DI directional bias calculations
Normalized bias calculation for consistent scaling across different instruments
Optimized default settings for intraday trading with full customization options
Professional-grade smoothing and filtering options
📈 Dual Analysis Modes
Difference Mode: Shows absolute strength difference (Index1 - Index2)
Ratio Mode: Shows relative performance ratio (Index1 / Index2)
Additional spread smoothing for cleaner signals
🎨 Professional Display Options
Custom labels with full color, size, and positioning control
Dynamic "Follow Line" labels that move with your data
Static corner positioning for reference displays
Clean error messaging and validation feedback
Use Cases
Gold Trading: Create gold strength vs USD strength indices for precise market timing
Sector Analysis: Compare technology vs financial sector strength for rotation strategies
Currency Strength: Build custom currency baskets for advanced forex analysis
Commodity Spreads: Analyze relative strength between different commodity groups
Regional Markets: Compare strength between different geographical market indices
Crypto Analysis: Track relative performance between different cryptocurrency sectors
Technical Specifications
Instruments per Index: Up to 6 with individual enable/disable
Weight Validation: Automatic 100% total weight enforcement
Calculation Method: ADX-based directional bias with trend strength weighting
Smoothing Options: Multiple levels of customizable smoothing
Error Handling: Professional validation with clear user feedback
Optimization Tips
Intraday Trading: Use DI Length 3-7 for faster response
Daily Analysis: Use DI Length 10-14 for smoother signals
Noisy Markets: Increase Final Smoothing for cleaner signals
Trending Markets: Lower smoothing values for faster reaction
Perfect for traders who need sophisticated inter-market analysis tools beyond standard indicators. Whether you're analyzing gold vs dollar dynamics, sector rotation opportunities, or custom currency strength relationships, this indicator provides institutional-grade analysis capabilities with complete customization flexibility.
MVRV and RSI Std DevThis indicator provides a comprehensive, long-term view of market risk and opportunity for Bitcoin by combining fundamental on-chain data with classic momentum analysis.
How It Works:
The oscillator's value is calculated by multiplying two key metrics:
MVRV Ratio: An on-chain metric that indicates if the market price is "fair," "overvalued," or "undervalued" relative to the average price at which all coins last moved.
Weekly RSI: The standard Relative Strength Index on a weekly timeframe to measure long-term market momentum and identify overbought/oversold conditions.
Key Features:
Adaptive Risk Bands: Instead of fixed "overbought/oversold" levels, this indicator uses dynamic bands based on a long-term 4 year moving average and standard deviation. These bands automatically adjust to the market's changing volatility and cyclical nature, ensuring the risk/reward zones remain relevant over time.
Gradient Coloring: The oscillator line is colored on a smooth gradient from deep green (high reward/low risk) to bright red (high risk/low reward). This provides an intuitive, at-a-glance visualization of the market's "temperature."
RSI 自动标注You’ll see : an RSI line, 75/50/25 reference levels, gradient background (green near highs, red near lows), optional smoothing MA/Bollinger Bands, and auto-labeled Bull/Bear divergences.
你将看到:一条 RSI 曲线、75/50/25 三条水平参考线、背景渐变(高位偏绿、低位偏红),可选 平滑均线/布林带,以及自动标注的 Bull/Bear 背离。
W%R
Positioning of this %R setup
Three lines, three roles
Len3 = 42 (slow): defines the environment/direction (trend or range).
Len2 = 25 (medium): filtering/confirmation.
Len1 = 10 (fast): timing/trigger.
Value range: 0 to −100; the closer to 0, the stronger / more overbought; the closer to −100, the weaker / more oversold.
Reference levels: −20 (upper band) / −50 (midline) / −80 (lower band).
Top-right panel: displays the current values and states (overbought / neutral / oversold) for all three lines.
这套 %R 的定位
三根线各司其职
Len3=42(慢):定环境/方向(趋势或震荡)。
Len2=25(中):做过滤/确认。
Len1=10(快):做择时/触发。
读数区间:0 到 -100;越靠近 0 越“强/易超买”,越靠近 -100 越“弱/易超卖”。
三条参考线:-20(上轨)/-50(中线)/-80(下轨)。
右上角表格直接给出三条线的当前值与状态(超买/中性/超卖)。
Average True Range %The ATR% oscillator measures market volatility as a percentage of the closing price, smooths it using a chosen method (RMA, SMA, EMA, or WMA), and compares it to the threshold levels of 0.95% and 1.20%.
RSI, CCI, ADX Panel (Custom TF for Each)RSI, CCI, ADX Panel (Custom TF for Each)
This indicator combines RSI, CCI, and ADX into a single panel, allowing traders to view three key momentum/trend signals together. Each indicator can be calculated on its own custom timeframe, making it useful for multi-timeframe analysis.
Features:
RSI (Relative Strength Index): Measures momentum, useful for identifying overbought/oversold conditions.
CCI (Commodity Channel Index): Detects cyclical movements and potential reversals.
ADX (Average Directional Index): Evaluates trend strength without regard to direction.
Independent timeframe selection for RSI, CCI, and ADX.
Distinct colors for each indicator (RSI = Blue, CCI = Orange, ADX = Purple).
Single consolidated panel for compact analysis.
This tool is designed to give a multi-perspective view of market strength, momentum, and trend in one place.
Becak I-series: Indicator Floating Panels v.80Becak I-series: Floating Panels v.80th (Indonesia Independence Days)
What it does:
This indicator creates three floating overlay panels that display MACD, RSI, and Stochastic oscillators directly on your price chart. Unlike traditional separate panes, these panels hover over your chart with customizable positioning and transparency, providing a clean, space-efficient way to monitor multiple technical indicators simultaneously.
When to use:
When you need to monitor momentum, trend strength, and overbought/oversold conditions without cluttering your workspace
Perfect for traders who want quick visual access to multiple oscillators while maintaining focus on price action
Ideal for any timeframe and asset class (stocks, crypto, forex, commodities)
How it works:
The script calculates standard MACD (12,26,9), RSI (14), and Stochastic (14,3,3) values, then renders them as floating panels with:
MACD Panel: Shows MACD line (blue), Signal line (orange), and histogram (green/red bars)
RSI Panel: Displays RSI line (purple) with overbought (70) and oversold (30) reference levels
Stochastic Panel: Shows %K (blue) and %D (orange) lines with optional buy/sell signals and highlighted overbought/oversold zones
Customization options:
Position: Choose Top, Bottom, or Auto-Center placement
Size: Adjust panel height (15-35% of chart) and spacing between panels
Positioning: Fine-tune vertical center offset and horizontal positioning
Appearance: Toggle panel backgrounds and adjust transparency (50-95%)
Parameters: Modify all indicator lengths and overbought/oversold levels
Signals: Enable/disable Stochastic crossover signals
Display: Control lookback period (30-100 bars) and right margin spacing
Universal compatibility: Works seamlessly across all asset types with automatic range detection and scaling.
DIRGAHAYU HARI KEMERDEKAAN KE 80 - INDONESIA ... MERDEKA!!!!!
RSI Bands With RSI - ATR Trend LineRSI Bands With RSI - ATR Trend Line (Smoothed Baseline)
Overview
A trend-following tool that fuses RSI-based regime detection with a smoothed baseline and ATR bands. Trend line aims to stay with the RSI move, cut random noise, and flip cleanly. The line draws green in bulls and red in bears; signals fire only on candle close confirmed flips.
Key Features
✅ Dynamic Trend Detection
RSI (>50 / <50) sets bullish/bearish regime
Smoothed baseline adapts to price while damping whipsaw
ATR-based bands expand/contract with volatility
✅ Precise Signal Generation
Buy when trend flips to bullish (close confirms above the upper band)
Sell when trend flips to bearish (close confirms below the lower band)
Flips require a real band break → fewer false transitions
✅ Visual Clarity
Green line = bullish trend, Red line = bearish trend
✅ Customizable Settings
RSI Length (default 14)
Baseline Smoothing (default 26)
ATR Length (default 14)
ATR Multiplier (default 1.4)
Toggles for Signals and Labels
✅ TradingView Alerts
Built-in Buy & Sell alerts (recommend Once per bar close)
How It Works
Algorithm Logic
RSI Regime: RSI above/below 50 sets bull/bear. At exactly 50, the prior target is carried forward.
Target & Smoothing: A per-bar target is built from the bar’s range and RSI, then smoothed with an EMA-style filter (Baseline Smoothing) to form the baseline.
ATR Bands: Upper/Lower = baseline ± (ATR × Multiplier).
Flip Rule (Supertrend-like):
Close above upper band → bullish flip; trend line tracks the lower band (green).
Close below lower band → bearish flip; trend line tracks the upper band (red).
Between bands → prior trend line persists.
Signals/Alerts: A flip event generates a Buy/Sell signal and alert.
Best Use Cases
Trending Markets – Built to ride sustained moves in either direction.
Multiple Timeframes – Works from intraday to higher TFs; higher TFs usually produce cleaner flips.
Various Asset Classes – Forex, Indices, Stocks, Crypto, Commodities; ATR adapts to volatility.
Recommended Settings
Conservative (Lower Frequency)
RSI 14–20 • Baseline 34 • ATR 14–21 • Multiplier 1.8–2.2
Use for swing/position trading; calmer signal stream.
Balanced (Default)
RSI 14 • Baseline 26 • ATR 14 • Multiplier 1.4
Good general-purpose setup for swing or active intraday.
Aggressive (Higher Frequency)
RSI 10–14 • Baseline 13–21 • ATR 10–14 • Multiplier 1.1–1.3
For scalping/day trading; earlier but noisier flips.
🎨 Visual Elements
RSI Smooth baseline (soft blue)
Upper/Lower ATR Bands (faint blue)
Trend Line (Bull/Bear) drawn only in the active regime (green/red)
Optional Buy/Sell arrows and labels
⚠️ Important Notes
Signals on Close
Flips confirm on bar close. Intrabar crosses can revert; wait for confirmation.
Risk Management
Size positions appropriately; many traders trail beyond the opposite band/line.
Factor in spread, slippage, sessions, and news.
Confirmation & Testing
Combine with structure/volume/HTF bias if desired.
Backtest and forward-test per instrument and timeframe.
For research/education only; not financial advice.
Currency Strength v3.0Currency Strength v3.0
Summary
The Currency Strength indicator is a powerful tool designed to gauge the relative strength of major and emerging market currencies. By plotting the True Strength Index (TSI) of various currency indices, it provides a clear visual representation of which currencies are gaining momentum and which are losing it. This indicator automatically detects the currency pair on your chart and highlights the corresponding strength lines, simplifying analysis and helping you quickly identify potential trading opportunities based on currency dynamics.
Key Features
Comprehensive Currency Analysis: Tracks the strength of 19 currencies, including major pairs and several emerging market currencies.
Automatic Pair Detection: Intelligently identifies the base and quote currency of the active chart, automatically highlighting the relevant strength lines.
Dynamic Coloring: The base currency is consistently colored blue, and the quote currency is colored gold, making it easy to distinguish between the two at a glance.
Non-Repainting TSI Calculation: Uses the True Strength Index (TSI) for smooth and reliable momentum readings that do not repaint.
Customizable Settings: Allows for adjustment of the fast and slow periods for the TSI calculation to fit your specific trading style.
Clean Interface: Features a minimalist legend table that only displays the currencies relevant to your current chart, keeping your workspace uncluttered.
How It Works
The indicator pulls data from major currency indices (like DXY for the US Dollar and EXY for the Euro). For currencies that don't have a dedicated index, it uses their USD pair (e.g., USDCNY) and inverts the calculation to derive the currency's strength relative to the dollar. It then applies the True Strength Index (TSI) to this data. The TSI is a momentum oscillator that is less volatile than other oscillators, providing a more reliable measure of strength. The resulting values are plotted on the chart, allowing you to see how different currencies are performing against each other in real-time.
How to Use
Trend Confirmation: When the base currency's line is rising and above the zero line, and the quote currency's line is falling, it can confirm a bullish trend for the pair. The opposite would suggest a bearish trend.
Identifying Divergences: Look for divergences between the currency strength lines and the price action of the pair. For example, if the price is making higher highs but the base currency's strength is making lower highs, it could signal a potential reversal.
Crossovers: A crossover of the base and quote currency lines can signal a shift in momentum. A bullish signal occurs when the base currency line crosses above the quote currency line. A bearish signal occurs when it crosses below.
Overbought/Oversold Levels: The horizontal dashed lines at 0.5 and -0.5 can be used as general guides for overbought and oversold conditions, respectively. Strength moving beyond these levels may indicate an unsustainable move that is due for a correction.
Settings
Fast Period: The short-term period for the TSI calculation. Default is 7.
Slow Period: The long-term period for the TSI calculation. Default is 15.
Index Source: The price source used for the calculations (e.g., Close, Open). Default is Close.
Base Currency Color: The color for the base currency line. Default is Royal Blue.
Quote Currency Color: The color for the quote currency line. Default is Goldenrod.
Disclaimer
This indicator is intended for educational and analytical purposes only. It is not financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Always conduct your own research and risk management before making any trading decisions.
Q-Stochastic RSI (0–100) — RSI Divergence Addedtesting divergence, and momentum detection with both RSI raw and stoch rsi, pivot point always shown on RAW RSI
RSI + MACD Combo (sajadbagheri)The "RSI+MACD Persian Combo" integrates two classic oscillators with smart normalization. It detects overbought/oversold zones, MACD/RSI convergences, and highlights high-probability reversals using Z-Score scaling. Customizable alerts provide trade-ready signals.
Created by: Sajad Bagheri
SatoshiMultiFrame RSI SatoshiMultiFrame 📈
SatoshiMultiFrame is an advanced, multi-timeframe version of the RSI indicator, designed to look and feel like the built-in TradingView RSI — but with more customization options and professional visual enhancements.
🎯 Features
Multi-Timeframe (MTF) Support – choose any timeframe for RSI calculation.
Customizable RSI Line – change color, thickness, and style (Solid / Dashed / Dotted).
Editable 30 / 50 / 70 Bands – fully customizable in the Style tab.
Smooth Gradient Fill for OB/OS Zones:
🟢 Green shading above Overbought (70)
🔴 Red shading below Oversold (30)
Customizable background for the entire panel.
No repainting – stable and reliable data.
⚙️ Inputs
RSI Length – default 14.
Source – select the price source (Close, Open, etc.).
RSI Timeframe – pick a higher or lower timeframe.
RSI Line Style – choose between Solid / Dashed / Dotted.
Dash Period & Dash Length – adjust the look of dashed lines.
🎨 Style Tab :
Change RSI line color, thickness, and optional MA line.
Edit colors and styles of 30 / 50 / 70 bands.
Enable/disable and recolor OB/OS gradient fills.
Adjust background color and transparency.
📌 How to Use :
Add the indicator to your chart.
In Inputs, set your preferred timeframe, RSI length, and line style.
In Style, adjust colors, thickness, and gradient effects to your preference.
Use the 50 line as a trend reference and monitor RSI behavior in OB/OS zones.
⚠️ Disclaimer: This tool is for educational purposes only and should not be considered financial advice. Always practice proper risk management.
BOOM Deal by PK - Complete Trading SystemTesting this also. will rectify and modify further. just test and give me feedback.
Jitendra: MTF AIO Technical Indicators with Trend ▲▼Jitendra: MTF AIO Technical Indicators with Trend ▲▼
Why We Designed this Indicator
we build this indicator to Analysis Multi-timeframe Technical Data in dashboard to get Better and Quick Data in which Time Frame where it is in Momentum or in Swing,
By combining multiple technical indicators with trend direction arrows and displaying them in a customizable table.
It also optionally plots some indicators EMA, VWAP, Supertrend, Bollinger Bands on the chart.
Traders who want a compact technical summary across multiple timeframes without switching charts.
Quickly assess trend strength, momentum, divergence, volume pressure in one glance.
Combine with price action to make higher-confidence entries/exits.
How to Use This Indicator
In setting there are Two parts
First Part - for Plot Multi EMA, Bollinger Band, Supertrend 10,2 & 10, 3 factorial
Second Part- To get Data on Table for Quick Analysis
Chart Plots With Enable Disable Toggle in Setting
VWAP (optional)
4 EMAs (lengths configurable)
Bollinger Bands (optional)
Two separate Supertrend indicators with custom ATR period and multiplier
Indicators Data in Table
For each selected timeframe:
VWAP position (price above/below)
MACD value + trend arrow
MACD Histogram (optional)
RSI value + arrow (rising/falling)
ADX value + arrow (strength rising/falling)
+DI / -DI values + trend arrows
RSI Divergence detection (regular + hidden)
EMA levels (up/down relative to price)
EMA crossover (EMA1 vs EMA2 arrow)
Stochastic %K
Volume Matrix:
Raw volume
20 SMA volume
Volume % change from SMA
Multi-Timeframe Support
Current timeframe + up to 5 user-defined timeframes (e.g., 1H, 4H, Daily, Weekly, Monthly)
Customizable Toggles
Enable/disable any indicator
Choose which EMAs to show
Show/hide trend arrows
Choose which volume metrics to display
Choose table position (top_left, top_right, etc.)
Choose table text size
Trend Arrows & Colors
Green ▲ = bullish / rising trend
Red ▼ = bearish / falling trend
Gray – = neutral/no change
Background colors indicate overbought/oversold, trend strength, or volume surge.
Indicator Data Fetch PINE CODE Short Summary
request.security() → pulls data from the selected timeframe (tf).
Each indicator’s calculation can be wrapped inside request.security() so the values are computed on that timeframe.
//@version=5
// === 1. VWAP ===
vwap_htf = request.security(syminfo.tickerid, tf, ta.vwap)
// === 2. MACD ===
macd_src = request.security(syminfo.tickerid, tf, close)
macd_val = ta.ema(macd_src, 12) - ta.ema(macd_src, 26)
macd_sig = ta.ema(macd_val, 9)
macd_hist = macd_val - macd_sig
// === 3. RSI ===
rsi_htf = request.security(syminfo.tickerid, tf, ta.rsi(close, 14))
// === 4. ADX & DI ===
adx_htf = request.security(syminfo.tickerid, tf, ta.adx(14))
plusDI = request.security(syminfo.tickerid, tf, ta.plus_di(14))
minusDI = request.security(syminfo.tickerid, tf, ta.minus_di(14))
// === 5. Supertrend ===
= request.security(syminfo.tickerid, tf, ta.supertrend(3, 7))
// === 6. Bollinger Bands ===
basis = ta.sma(close, 20)
dev = ta.stdev(close, 20)
bb_up = request.security(syminfo.tickerid, tf, basis + dev * 2)
bb_low = request.security(syminfo.tickerid, tf, basis - dev * 2)
// === 7. Stochastic ===
k = ta.sma(ta.stoch(close, high, low, 14), 3)
d = ta.sma(k, 3)
stochK = request.security(syminfo.tickerid, tf, k)
stochD = request.security(syminfo.tickerid, tf, d)
// === 8. EMA ===
ema20 = request.security(syminfo.tickerid, tf, ta.ema(close, 20))
ema50 = request.security(syminfo.tickerid, tf, ta.ema(close, 50))
// === 9. Historical Volatility (HV) ===
logReturns = math.log(close / close )
hv = request.security(syminfo.tickerid, tf, ta.stdev(logReturns, 20) * math.sqrt(252))
plot(vwap_htf, "VWAP")
plot(macd_val, "MACD", color=color.blue)
plot(rsi_htf, "RSI", color=color.purple)
Correlation Heatmap Matrix [TradingFinder] 20 Assets Variable🔵 Introduction
Correlation is one of the most important statistical and analytical metrics in financial markets, data mining, and data science. It measures the strength and direction of the relationship between two variables.
The correlation coefficient always ranges between +1 and -1 : a perfect positive correlation (+1) means that two assets or currency pairs move together in the same direction and at a constant ratio, a correlation of zero (0) indicates no clear linear relationship, and a perfect negative correlation (-1) means they move in exactly opposite directions.
While the Pearson Correlation Coefficient is the most common method for calculation, other statistical methods like Spearman and Kendall are also used depending on the context.
In financial market analysis, correlation is a key tool for Forex, the Stock Market, and the Cryptocurrency Market because it allows traders to assess the price relationship between currency pairs, stocks, or coins. For example, in Forex, EUR/USD and GBP/USD often have a high positive correlation; in stocks, companies from the same sector such as Apple and Microsoft tend to move similarly; and in crypto, most altcoins show a strong positive correlation with Bitcoin.
Using a Correlation Heatmap in these markets visually displays the strength and direction of these relationships, helping traders make more accurate decisions for risk management and strategy optimization.
🟣 Correlation in Financial Markets
In finance, correlation refers to measuring how closely two assets move together over time. These assets can be stocks, currency pairs, commodities, indices, or cryptocurrencies. The main goal of correlation analysis in trading is to understand these movement patterns and use them for risk management, trend forecasting, and developing trading strategies.
🟣 Correlation Heatmap
A correlation heatmap is a visual tool that presents the correlation between multiple assets in a color-coded table. Each cell shows the correlation coefficient between two assets, with colors indicating its strength and direction. Warm colors (such as red or orange) represent strong negative correlation, cool colors (such as blue or cyan) represent strong positive correlation, and mid-range tones (such as yellow or green) indicate correlations that are close to neutral.
🟣 Practical Applications in Markets
Forex : Identify currency pairs that move together or in opposite directions, avoid overexposure to similar trades, and spot unusual divergences.
Crypto : Examine the dependency of altcoins on Bitcoin and find independent movers for portfolio diversification.
Stocks : Detect relationships between stocks in the same industry or find outliers that move differently from their sector.
🟣 Key Uses of Correlation in Trading
Risk management and diversification: Select assets with low or negative correlation to reduce portfolio volatility.
Avoiding overexposure: Prevent opening multiple positions on highly correlated assets.
Pairs trading: Exploit temporary deviations between historically correlated assets for arbitrage opportunities.
Intermarket analysis: Study the relationships between different markets like stocks, currencies, commodities, and bonds.
Divergence detection: Spot when two typically correlated assets move apart as a possible trend change signal.
Market forecasting: Use correlated asset movements to anticipate others’ behavior.
Event reaction analysis: Evaluate how groups of assets respond to economic or political events.
❗ Important Note
It’s important to note that correlation does not imply causation — it only reflects co-movement between assets. Correlation is also dynamic and can change over time, which is why analyzing it across multiple timeframes provides a more accurate picture. Combining correlation heatmaps with other analytical tools can significantly improve the precision of trading decisions.
🔵 How to Use
The Correlation Heatmap Matrix indicator is designed to analyze and manage the relationships between multiple assets at once. After adding the tool to your chart, start by selecting the assets you want to compare (up to 20).
Then, choose the Correlation Period that fits your trading strategy. Shorter periods (e.g., 20 bars) are more sensitive to recent price movements, making them suitable for short-term trading, while longer periods (e.g., 100 or 200 bars) provide a broader view of correlation trends over time.
The indicator outputs a color-coded matrix where each cell represents the correlation between two assets. Warm colors like red and orange signal strong negative correlation, while cool colors like blue and cyan indicate strong positive correlation. Mid-range tones such as yellow or green suggest correlations that are close to neutral. This visual representation makes it easy to spot market patterns at a glance.
One of the most valuable uses of this tool is in portfolio risk management. Portfolios with highly correlated assets are more vulnerable to market swings. By using the heatmap, traders can find assets with low or negative correlation to reduce overall risk.
Another key benefit is preventing overexposure. For example, if EUR/USD and GBP/USD have a high positive correlation, opening trades on both is almost like doubling the position size on one asset, increasing risk unnecessarily. The heatmap makes such relationships clear, helping you avoid them.
The indicator is also useful for pairs trading, where a trader identifies assets that are usually correlated but have temporarily diverged — a potential arbitrage or mean-reversion opportunity.
Additionally, the tool supports intermarket analysis, allowing traders to see how movements in one market (e.g., crude oil) may impact others (e.g., the Canadian dollar). Divergence detection is another advantage: if two typically aligned assets suddenly move in opposite directions, it could signal a major trend shift or a news-driven move.
Overall, the Correlation Heatmap Matrix is not just an analytical indicator but also a fast, visual alert system for monitoring multiple markets at once. This is particularly valuable for traders in fast-moving environments like Forex and crypto.
🔵 Settings
🟣 Logic
Correlation Period : Number of bars used to calculate correlation between assets.
🟣 Display
Table on Chart : Enable/disable displaying the heatmap directly on the chart.
Table Size : Choose the table size (from very small to very large).
Table Position : Set the table location on the chart (top, middle, or bottom in various alignments).
🟣 Symbol Custom
Select Market : Choose the market type (Forex, Stocks, Crypto, or Custom).
Symbol 1 to Symbol 20: In custom mode, you can define up to 20 assets for correlation calculation.
🔵 Conclusion
The Correlation Heatmap Matrix is a powerful tool for analyzing correlations across multiple assets in Forex, crypto, and stock markets. By displaying a color-coded table, it visually conveys both the strength and direction of correlations — warm colors for strong negative correlation, cool colors for strong positive correlation, and mid-range tones such as yellow or green for near-zero or neutral correlation.
This helps traders select assets with low or negative correlation for diversification, avoid overexposure to similar trades, identify arbitrage and pairs trading opportunities, and detect unusual divergences between typically aligned assets. With support for custom mode and up to 20 symbols, it offers high flexibility for different trading strategies, making it a valuable complement to technical analysis and risk management.
Wolf long or short this indicator is based on RSI, Stoch, BB , this indicator is giving a better understanding of short or long combined with 3 indicator
Linda Raschke - PF3This is PF3 indicator where there are confluence agreement of 3 oscillators. Means the market is giving its most!
BB next+2This indicator extends the standard Bollinger Bands by allowing you to project future Bollinger Bands based on assumed closing prices for the next trading day (+1) and the day after (+2).
Key Features:
Plots standard Bollinger Bands (supports SMA, EMA, etc.)
Allows manual input of assumed closing prices for the next trading day (+1) and the day after (+2)
Displays projected Bollinger Bands (basis, upper, and lower) based on the input values
Option to restrict display to the latest bar or confirmed bars only
5 Min Scalping Oscillator### Overview
The 5 Min Scalping Oscillator is a custom oscillator designed to provide traders with a unified momentum signal by fusing normalized versions of the Relative Strength Index (RSI), Stochastic RSI, and Commodity Channel Index (CCI). This combination creates a more balanced view of market momentum, overbought/oversold conditions, and potential reversals, while incorporating adaptive smoothing, dynamic thresholds, and market condition filters to reduce noise and false signals. Unlike standalone oscillators, the 5 Min Scalping Oscillator adapts to trending or sideways regimes, volatility levels, and higher timeframe biases, making it particularly suited for short-term charts like 5-minute timeframes where quick, filtered signals are valuable.
### Purpose and Originality of the Fusion
Traditional oscillators like RSI measure momentum but can lag in volatile markets; Stochastic RSI adds sensitivity to RSI extremes but often generates excessive noise; and CCI identifies cyclical deviations but may overreact to minor price swings. The 5 Min Scalping Oscillator addresses these limitations by weighting and blending their normalized outputs (RSI at 45%, Stochastic RSI at 35%, and CCI at 20%) into a single raw oscillator value. This weighted fusion creates a hybrid signal that balances lag reduction with noise filtering, resulting in a more robust indicator for identifying reversal opportunities.
The originality lies in extending this fusion with:
- **Adaptive Smoothing via KAMA (Kaufman's Adaptive Moving Average):** Adjusts responsiveness based on market efficiency, speeding up in trends and slowing in ranges—unlike fixed EMAs, this helps preserve signal integrity without over-smoothing.
- **Dynamic Overbought/Oversold Thresholds:** Calculated using rolling percentiles over a user-defined lookback (default 200+ periods), these levels adapt to recent oscillator behavior rather than relying on static values like 70/30, making the indicator more responsive to asset-specific volatility.
- **Multi-Factor Filters:** Integrates ADX for trend detection, ATR percentiles for volatility confirmation, and optional higher timeframe RSI bias to ensure signals align with broader market context. This layered approach reduces false positives (e.g., ignoring low-volatility crossovers) and adds a confidence score based on filter alignment, which is not typically found in simple mashups.
This design justifies the combination: it's not a mere overlay of indicators but a purposeful integration that enhances usefulness by providing context-aware signals, helping traders avoid common pitfalls like trading against the trend or in low-volatility chop. The result is an original tool that performs better in diverse conditions, especially on 5-minute charts for intraday trading, where rapid adaptations are key.
### How It Works
The 5 Min Scalping Oscillator processes price data through these steps:
1. **Normalization and Fusion:**
- RSI (default length 10) is normalized to a -1 to +1 scale using a tanh transformation for bounded output.
- Stochastic RSI (default length 14) is derived from RSI highs/lows and scaled similarly.
- CCI (default length 14) is tanh-normalized to align with the others.
- These are weighted and summed into a raw value, emphasizing RSI for core momentum while using Stochastic RSI for edge sensitivity and CCI for cycle detection.
2. **Smoothing and Signal Line:**
- The raw value is smoothed (default KAMA with fast/slow periods 2/30 and efficiency length 10) to reduce whipsaws.
- A shorter signal line (half the smoothing length) is added for crossover detections.
3. **Filters and Enhancements:**
- **Trend Regime:** ADX (default length 14, threshold 20) classifies markets as trending (ADX > threshold) or sideways, allowing signals in both but prioritizing alignment.
- **Volatility Check:** ATR (default length 14) percentile (default 85%) ensures signals only trigger in above-average volatility, filtering out flat markets.
- **Higher Timeframe Bias:** Optional RSI (default length 14 on 60-minute timeframe) provides bull/neutral/bear bias (above 55, 45-55, below 45), requiring signal alignment (e.g., bullish signals only if bias is neutral or bull).
- **Dynamic Levels:** Percentiles (default OB 85%, OS 15%) over recent oscillator values set adaptive overbought/oversold lines.
4. **Signal Generation:**
- Bullish (B) signals on upward crossovers of the smoothed line over the signal line, filtered by conditions.
- Bearish (S) signals on downward crossunders.
- Each signal includes a confidence score (0-100) based on factors like trend alignment (25 points), volatility (15 points), and bias (20 points if strong, 10 if neutral).
The output includes a glowing oscillator line, histogram for divergence spotting, dynamic levels, shapes/labels for signals, and a dashboard table summarizing regime, ADX, bias, levels, and last signal.
### How to Use It
This indicator is easy to apply and interpret, even for beginners:
- **Adding to Chart:** Apply the 5 Min Scalping Oscillator to a clean chart (no other indicators unless explained). It's non-overlay, so it appears in a separate pane. For 5-minute timeframes, keep defaults or tweak lengths shorter for faster response (e.g., RSI 8-12).
- **Interpreting Signals:**
- Look for green upward triangles labeled "B" (bullish) at the bottom for potential entry opportunities in uptrends or reversals.
- Red downward triangles labeled "S" (bearish) at the top signal potential exits or shorts.
- Higher confidence scores (e.g., 70+) indicate stronger alignment—use these for priority trades.
- Watch the histogram for divergences (e.g., price higher highs but histogram lower highs suggest weakening momentum).
- Dynamic OB (green line) and OS (red line) help gauge extremes; signals near these are more reliable.
- **Dashboard:** At the bottom-right, it shows real-time info like "Trending" or "Sideways" regime, ADX value, HTF bias (Bull/Neutral/Bear), OB/OS levels, and last signal—use this for quick context.
- **Customization:** Adjust inputs via the settings panel:
- Toggle KAMA for adaptive vs. EMA smoothing.
- Set HTF to "60" for 1-hour bias on 5-min charts.
- Increase ADX threshold to 25 for stricter trend filtering.
- **Best Practices:** Combine with price action (e.g., support/resistance) or volume for confirmation. On 5-min charts, pair with a 1-hour HTF for intraday scalping. Always use stop-losses and risk no more than 1-2% per trade.
### Default Settings Explanation
Defaults are optimized for 5-minute charts on volatile assets like stocks or forex:
- RSI/Stoch/CCI lengths (10/14/14): Shorter for quick momentum capture.
- Signal smoothing (5): Responsive without excessive lag.
- ADX threshold (20): Balances trend detection.
- ATR percentile (0.85): Filters ~15% of low-vol signals.
- HTF RSI (14 on 60-min): Aligns with hourly trends.
- Percentiles (OB 85%, OS 15%): Adaptive to recent data.
If changing, test on historical data to ensure fit—e.g., longer lengths for less noisy assets.
### Disclaimer
The 5 Min Scalping Oscillator is an educational tool to visualize momentum and does not guarantee profits or predict future performance. All signals are based on historical calculations and should not be used as standalone trading advice. Past results are not indicative of future outcomes. Traders must conduct their own analysis, use proper risk management, and consider market conditions. No claims are made about accuracy, reliability, or performance.