Composite Stochastic Oscillator (CSO) [SharpStrat]Composite Stochastic Oscillator (CSO)
The Composite Stochastic Oscillator (CSO) is a refined momentum tool designed to improve on the limitations of the traditional stochastic indicator. Standard stochastics are often too sensitive, producing choppy signals and frequent false turns. CSO tackles this problem by combining multiple stochastic calculations, each with different lengths and smoothing settings, into a single, balanced output.
The goal of combining these stochastic variants is to create a more stable and reliable reading of market momentum. Each version of the stochastic captures different aspects of price behavior like shorter ones react faster, while longer ones filter noise. CSO brings them together mathematically to form a composite oscillator that reacts smoothly and consistently across varying market conditions. This makes it a useful improvement over the standard stochastic, providing traders with a more dependable signal while retaining the familiar interpretation framework.
How It Works
Calculates five independent stochastic oscillators with customizable K, D, and slowing parameters.
Each stochastic contributes to the final composite value according to its assigned weight, allowing the user to emphasize faster or slower reactions.
The resulting composite K is then smoothed into a D line using a chosen moving average method (SMA, EMA, WMA, or RMA).
The oscillator is plotted along with optional overbought/oversold levels and a color fill to enhance visual interpretation.
A compact on-chart table displays the current K and D readings for quick reference.
Comparison with normal Stochastic
Compared to a standard stochastic, the CSO generally produces smoother lines and fewer false flips. As evident in the comparison chart, this improves upon the normal stochastic by reducing noise and making signals more reliable, although results depend on parameter settings too.
How To Use It
Use the CSO exactly like a normal stochastic: look for crossovers, overbought/oversold zones, and divergences.
In practice, CSO should provides smoother and more consistent signals than the regular stochastic, especially in sideways or volatile markets.
When plotted beside a standard stochastic, you’ll notice CSO avoids many of the false reversals that clutter traditional readings.
Customization Options
Choice of smoothing method (SMA, EMA, WMA, RMA).
Full control over each stochastic component’s parameters and weights.
Adjustable overbought/oversold levels and display preferences.
Option to enable or disable the on-chart table and zone fills.
Note
This indicator is shared purely for educational and research purposes. It is not financial advice and should not be treated as a ready-made trading system.
I encourage you to experiment with different parameter values (periods, weights, smoothing) to explore how the behavior changes and to learn from the results.
스크립트에서 "纳斯达克指数期货cfd"에 대해 찾기
SGM Gold Day Trading EMAsWhat it does
This tool plots four Exponential Moving Averages (EMAs) with practical default periods for gold intraday analysis: 9 (Momentum), 21 (Pullback), 50 (Trend Filter), and 200 (Macro). The goal is to provide a clear, multi-horizon structure so traders can quickly assess momentum, pullbacks, intermediate trend, and long-term bias on the same chart.
How it works (method)
Each line is a standard EMA computed on the close price.
The defaults map to common roles:
EMA 9 – Momentum: immediate changes in short-term flow.
EMA 21 – Pullback: typical retracement area within ongoing trends.
EMA 50 – Trend Filter: medium-term confirmation of direction.
EMA 200 – Macro: long-term bias and market context.
Optional dynamic color for EMA9/EMA21 highlights whether EMA9 ≥ EMA21 (green) or not (red). This is a visual aid only; it does not generate signals.
Originality & usefulness
The script focuses on clarity and control rather than automation. It combines a neutral, high-contrast palette with independent line thickness per EMA and an optional visual crossover mode. The configuration encourages disciplined analysis across time horizons without embedding opaque entry/exit logic.
Inputs & customization:
Periods: 9, 21, 50, 200 (all adjustable).
Colors: fully customizable for each EMA; optional crossover color mode for 9/21.
Line thickness: set individually per EMA to emphasize your primary reference.
How to use:
Add the script on any timeframe/asset (gold defaults are provided but not required).
Use EMA 200 for long-term bias; trade with caution against it.
Use EMA 50 to filter intermediate trend; prefer setups aligned with it.
Watch EMA 21 as a pullback reference within trends.
Use EMA 9 to gauge momentum around pullbacks/breakouts.
(Optional) Enable the crossover color to quickly see when momentum (9) is above/below pullback (21).
Notes & limitations:
This script does not produce buy/sell signals or alerts.
It is intended as a visual framework to support analysis and risk management.
Always validate with your own rules, risk controls, and market conditions.
Billionaire Gold ClubBillionaire Gold Club — Long-Term Gold Trend Follower
Overview
The Billionaire Gold Club indicator is designed for traders who follow the long-term bullish bias of Gold (XAU/USD).
It focuses only on BUY opportunities and encourages patience during market pullbacks.
The goal is to trade with the main trend, not against it.
Instructions
1. The script automatically plots 7MA (fast) and 200MA (slow).
2. When 7MA crosses above 200MA, a BUY signal appears.
3. When 7MA crosses below 200MA, a Standby signal appears — do not sell, just wait for the next BUY.
Usage Rules
• Recommended timeframe: 15-minute or higher.
• If used below 15 minutes, treat it as day trading — close trades within the same day.
• Focus on long-term holding and small lot sizes to protect your capital.
Signal Guide
🟢 BUY → Enter the trend direction.
🟠 Standby → Pause new entries and wait patiently.
Alerts
Set alerts to "Once per bar close":
• BUY Signal → Golden Cross confirmed.
• Standby Signal → Death Cross confirmed.
Philosophy
"Obey the rules, and your probability of success increases."
This system rewards patience, discipline, and long-term trend following.
Follow me for more TradingView scripts and updates.
Billionaire Gold Clubは、ゴールド（XAU/USD）の長期上昇トレンドに沿って取引するためのインジケーターです。
基本的にBUYのみを狙い、デッドクロス時はStandby（待機）状態として次のBUYを待ちます。
推奨時間軸：15分足以上。
15分未満で使用する場合はデイトレードとして同日中にクローズすることを推奨します。
ロットを小さく保ち、長期保有で安定した運用を目指してください。
Tweezer & Kangaroo Zones [WavesUnchained]Tweezer & Kangaroo Zones
Pattern Recognition with Supply/Demand Zones
Indicator that detects tweezer and kangaroo tail (pin bar) reversal patterns and creates supply and demand zones. Includes volume validation, trend context, and confluence scoring.
What You See on Your Chart
Pattern Labels:
"T" (Red) - Tweezer Top detected above price → Bearish reversal signal
"T" (Green) - Tweezer Bottom detected below price → Bullish reversal signal
"K" (Red) - Kangaroo Bear (Pin Bar rejection from top) → Bearish signal
"K" (Green) - Kangaroo Bull (Pin Bar rejection from bottom) → Bullish signal
Label Colors Indicate Pattern Strength:
Dark Green/Red - Strong pattern (score ≥8.0)
Medium Green/Red - Good pattern (score ≥6.0)
Light Green/Red - Valid pattern (score <6.0)
Zone Boxes:
Red Boxes - Supply Zones (resistance, potential short areas)
Green Boxes - Demand Zones (support, potential long areas)
White Border - Active zone (fresh, not tested yet)
Gray Border - Inactive zone (expired or invalidated)
Pattern Detection
Tweezer Patterns (Classic Double-Top/Bottom):
Flexible Lookback - Detects patterns up to 3 bars apart (not just consecutive)
Precision Matching - 0.2% level tolerance for high-quality signals
Wick Similarity Check - Both candles must show similar rejection wicks
Volume Validation - Second candle requires elevated volume (0.8x average)
Pattern Strength Score - 0-1 quality rating based on level match + wick similarity
Optional Trend Context - Can require trend alignment (default: OFF for more signals)
Kangaroo Tail / Pin Bar Patterns:
No Pivot Delay - Instant detection without waiting for pivot confirmation
Body Position Check - Body must be at candle extremes (30% tolerance)
Volume Spike - Rejection must occur with volume (0.9x average)
Rejection Strength - Scores based on wick length (0.5-0.9 of range)
Optional Trend Context - Bearish in uptrends, Bullish in downtrends (default: OFF)
Zone Management
Auto-Created Zones - Every valid pattern creates a supply/demand zone
Overlap Prevention - Zones too close together (50% overlap) are not duplicated
Lifetime Control - Zones expire after 400 bars (configurable)
Smart Invalidation - Zones invalidate when price closes through them
Styling Options - Choose between Solid, Dashed, or Dotted borders
Border Width - 2px width for better visibility
Confluence Scoring System
Multi-factor confluence scoring (0-10 scale) with configurable weights:
Regime (EMA+HTF) - Trend alignment across timeframes (Weight: 2.0)
HTF Stack - Multi-timeframe trend confluence (Weight: 3.0)
Structure - Higher lows / Lower highs confirmation (Weight: 1.0)
Relative Volume - Volume surge validation (Weight: 1.0)
Chop Advantage - Favorable market conditions (Weight: 1.0)
Zone Thinness - Tight zones = better R/R (Weight: 1.0)
Supertrend - Trend indicator alignment (Weight: 1.0)
MOST - Moving Stop alignment (Weight: 1.0)
Pattern Strength - Quality of detected pattern (Weight: 1.5)
Zone Retest Signals
Signals generated when zones are retested:
BUY Signal - Price retests demand zone from above (score ≥4.5)
SELL Signal - Price retests supply zone from below (score ≥5.5)
Normalized Score - Displayed as 0-10 for easy interpretation
Optional Trend Gate - Require trend alignment for signals (default: OFF)
Alert Ready - Built-in alertconditions for automation
Additional Features
Auto-Threshold Tuning - Adapts to ATR and Choppiness automatically
Session Profiles - Different settings for RTH vs ETH sessions
Organized Settings - 15+ input groups for easy configuration
Optional Panels - HTF Stack overview and performance metrics (default: OFF)
Data Exports - Hidden plots for strategy/library integration
RTA Health Monitoring - Built-in performance tracking
Setup & Configuration
Quick Start:
1. Apply indicator to any timeframe
2. Patterns and zones appear automatically
3. Adjust pattern detection sensitivity if needed
4. Configure zone styling (Solid/Dashed/Dotted)
5. Set up alerts for zone retests
Key Settings to Adjust:
Pattern Detection:
• Min RelVolume: Lower = more signals (0.8 Tweezer, 0.9 Kangaroo)
• Require trend context: Enable for stricter, higher-quality patterns
• Check wick similarity: Ensures proper rejection structure
Zone Management:
• Zone lifetime: How long zones remain active (default: 400 bars)
• Invalidate on close-through: Remove zones when price breaks through
• Max overlap: Prevent duplicate zones (default: 50%)
Scoring:
• Min Score BUY/SELL: Higher = fewer but better signals (default: 4.5/5.5)
• Component weights: Customize what factors matter most
• Signals require trend gate: OFF = more signals, ON = higher quality
Visual Customization
Zone Colors - Light red/green with 85% transparency (non-intrusive)
Border Styles - Solid, Dashed, or Dotted
Label Intensity - Darker greens for better readability
Clean Charts - All panels OFF by default
Understanding the Zones
Supply Zones (Red):
Created from bearish patterns (Tweezer Tops, Kangaroo Bears). Price made a high attempt to push higher, but was rejected. These become resistance areas where sellers may step in again.
Demand Zones (Green):
Created from bullish patterns (Tweezer Bottoms, Kangaroo Bulls). Price made a low with strong rejection. These become support areas where buyers may step in again.
Zone Quality Indicators:
• White border = Fresh zone, not tested yet
• Gray border = Zone expired or invalidated
• Thin zones (tight range) = Better risk/reward ratio
• Thick zones = Less precise, wider stop required
Trading Applications
Reversal Trading - Enter at pattern detection with tight stops
Zone Retest Trading - Wait for retests of established zones
Trend Confluence - Trade only when patterns align with trend
Risk Management - Use zone boundaries for stop placement
Target Setting - Opposite zones become profit targets
Pro Tips
Best signals occur when pattern + zone retest + trend all align
Lower timeframes = more signals but more noise
Higher timeframes = fewer but more reliable signals
Start with default settings, adjust based on your market
Combine with other analysis (structure, key levels, etc.)
Use alerts to avoid staring at charts all day
Important Notes
Not all patterns will lead to successful trades
Use proper risk management and position sizing
Patterns work best in trending or range-bound markets
Very choppy conditions may produce lower-quality signals
Always confirm with your own analysis before trading
Technical Specifications
• Pine Script v6
• RTA-Core integration
• RTA Core Library integration
• Maximum 200 boxes, 500 labels
• Auto-tuning based on ATR and Choppiness
• Session-aware threshold adjustments
• Memory-optimized zone management
What's Included
Tweezer Top/Bottom detection
Kangaroo Tail / Pin Bar detection
Automatic supply/demand zone creation
Volume validation system
Pattern strength scoring
Zone retest signals
Multi-factor confluence scoring
Optional HTF Stack panel
Optional performance metrics
Session profile support
Auto-threshold tuning
Alert conditions
Data exports for strategies
Author Waves Unchained
Version 1.0
Status Public Indicator
Summary
Reversal pattern detection with zone management, volume validation, and confluence scoring for tweezer and kangaroo tail patterns.
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Disclaimer: This indicator is for educational and informational purposes only. Trading involves risk. Past performance does not guarantee future results. Always practice proper risk management.
Daily ATR Zones
Dynamic Daily ATR Projection Zones
### **Description:**
This indicator projects potential price levels for the current trading day based on the Average True Range (ATR) of the previous day. It is designed to help intraday traders visualize daily volatility and identify key potential support, resistance, or target levels that are fixed for the entire session and do not repaint.
**How It Works**
The logic is based on two key components: a stable base price and a reliable volatility measure.
* **Base Price:** The indicator uses the **Open price of the current day** as the central anchor point for all projections.
* **Volatility Measure:** The calculation uses the final, completed **ATR value from the previous day**. This ensures that the projected zones are constant throughout the current trading day and are not subject to repainting.
The projection levels are then calculated using the formula:
`Current Day's Open + (Previous Day's ATR * Multiplier)`
**Features**
This script is fully customizable to fit your trading style:
* **Customizable ATR Multipliers:** Easily define your own price zones by entering a comma-separated list of multipliers (e.g., `0.5, 1.0, 1.5, -0.5, -1.0`).
* **Dynamic & Movable Labels:** The price labels are designed to stay on the right edge of the chart, ensuring they never obscure the current price action.
* **Adjustable Label Position:** Use the "Label Horizontal Offset" setting to control how far the labels are positioned from the current bar, keeping your chart clean.
* **Adjustable Label Size:** Choose from five different sizes (Tiny, Small, Normal, Large, Huge) to ensure the labels are perfectly readable on any device.
* **Toggle Labels:** You can turn all labels on or off with a single checkbox.
* **Full Color Customization:** Set unique colors for the positive (upper), negative (lower), and neutral projection zones.
**How to Use**
This tool can be integrated into various intraday trading strategies:
* **Intraday Targets:** The projected levels can serve as potential take-profit or stop-loss targets for scalpers and day traders.
* **Support & Resistance:** Watch for price reactions, such as bounces or rejections, at these ATR levels, as they often act as dynamic support and resistance zones.
* **Volatility Gauge:** The zones provide a quick visual reference for how far the price has moved relative to its recent average daily range. For example, if the price reaches the `1.0 ATR` level, it has completed an "average" day's move.
EA M1 Signals with Persistent ATR TP/SL1 Minute scalper for XAU/USD - uses multiple integrated indicators to provide signals upon a breakout and pullback
EMA 8/20/50 ema 8/20/50 ema 8/20/50 ema 8/20/50 ema 8/20/50 ema 8/20/50 ema 8/20/50 ema 8/20/50 ema 8/20/50
Background Trend Follower by exp3rtsThe Background Trend Follower indicator visually highlights the market’s daily directional bias using subtle background colors. It calculates the price change from the daily open and shades the chart background according to the current intraday momentum.
🟢 Green background → Price is significantly above the daily open (strong bullish trend)
🔴 Red background → Price is significantly below the daily open (strong bearish trend)
🟡 Yellow background → Price is trading near the daily open (neutral or consolidating phase)
The script automatically detects each new trading day.
It records the opening price at the start of the day.
As the session progresses, it continuously measures how far the current price has moved from that open.
When the move exceeds ±50 points (custom threshold), the background color adapts to reflect the trend strength.
Perfect for traders who want a quick visual sense of intraday bias — bullish, bearish, or neutral — without cluttering the chart with extra indicators.
Illuminati Zone🟣 Illuminati Zone — Hidden Power of the 11 PM NZ Candle
The Illuminati Zone reveals the hidden footprints of liquidity and market imbalance formed by the 11 PM New Zealand 15-minute candle — a time when global liquidity transitions between major sessions.
This candle often defines key intraday supply and demand boundaries, serving as a magnet for price and a pivot point for high-probability reversals or breakouts.
🧠 How it works
Automatically detects and marks the 11 PM NZ 15-minute candle each day.
Draws a translucent zone box between its high and low.
Extends two reference lines at +1 × range and –1 × range above and below the zone — ideal for spotting overextensions or liquidity sweeps.
Supports custom lookback, colors, and visual options.
💡 How to use it
Watch how price interacts with the zone — rejection often signals smart-money activity.
Use +1 and –1 levels as overextended zones for potential reversals or breakout retests.
Combine with your own confluence tools or volume analysis for precision entries.
⚙️ Customization Options
Target hour (NZ time)
Days back to display
Zone and line colors
Transparency and visual preferences
🔮 Pro Tip: Pair it with a volume or imbalance indicator for surgical-level precision in identifying where smart money positions are built or released.
Volume Sampled Supertrend [BackQuant]Volume Sampled Supertrend
A Supertrend that runs on a volume sampled price series instead of fixed time. New synthetic bars are only created after sufficient traded activity, which filters out low participation noise and makes the trend much easier to read and model.
Original Script Link
This indicator is built on top of my volume sampling engine. See the base implementation here:
Why Volume Sampling
Traditional charts print a bar every N minutes regardless of how active the tape is. During quiet periods you accumulate many small, low information bars that add noise and whipsaws to downstream signals.
Volume sampling replaces the clock with participation. A new synthetic bar is created only when a pre-set amount of volume accumulates (or, in Dollar Bars mode, when pricevolume reaches a dollar threshold). The result is a non-uniform time series that stretches in busy regimes and compresses in quiet regimes. This naturally:
filters dead time by skipping low volume chop;
standardizes the information content per bar, improving comparability across regimes;
stabilizes volatility estimates used inside banded indicators;
gives trend and breakout logic cleaner state transitions with fewer micro flips.
What this tool does
It builds a synthetic OHLCV stream from volume based buckets and then applies a Supertrend to that synthetic price. You are effectively running Supertrend on a participation clock rather than a wall clock.
Core Features
Sampling Engine - Choose Volume buckets or Dollar Bars . Thresholds can be dynamic from a rolling mean or median, or fixed by the user.
Synthetic Candles - Plots the volume sampled OHLC candles so you can visually compare against regular time candles.
Supertrend on Synthetic Price - ATR bands and direction are computed on the sampled series, not on time bars.
Adaptive Coloring - Candle colors can reflect side, intensity by volume, or a neutral scheme.
Research Panels - Table shows total samples, current bucket fill, threshold, bars-per-sample, and synthetic return stats.
Alerts - Long and Short triggers on Supertrend direction flips for the synthetic series.
How it works
Sampling
Pick Sampling Method = Volume or Dollar Bars.
Set the dynamic threshold via Rolling Lookback and Filter (Mean or Median), or enable Use Fixed and type a constant.
The script accumulates volume (or pricevolume) each time bar. When the bucket reaches the threshold, it finalizes one or more synthetic candles and resets accumulation.
Each synthetic candle stores its own OHLCV and is appended to the synthetic series used for all downstream logic.
Supertrend on the sampled stream
Choose Supertrend Source (Open, High, Low, Close, HLC3, HL2, OHLC4, HLCC4) derived from the synthetic candle.
Compute ATR over the synthetic series with ATR Period , then form upperBand = src + factorATR and lowerBand = src - factorATR .
Apply classic trailing band and direction rules to produce Supertrend and trend state.
Because bars only come when there is sufficient participation, band touches and flips tend to align with meaningful pushes, not idle prints.
Reading the display
Synthetic Volume Bars - The non-uniform candles that represent equal information buckets. Expect more candles during active sessions and fewer during lulls.
Volume Sampled Supertrend - The main line. Green when Trend is 1, red when Trend is -1.
Markers - Small dots appear when a new synthetic sample is created, useful for aligning activity cycles.
Time Bars Overlay (optional) - Plot regular time candles to compare how the synthetic stream compresses quiet chop.
Settings you will use most
Data Settings
Sampling Method - Volume or Dollar Bars.
Rolling Lookback and Filter - Controls the dynamic threshold. Median is robust to outliers, Mean is smoother.
Use Fixed and Fixed Threshold - Force a constant bucket size for consistent sampling across regimes.
Max Stored Samples - Ring buffer limit for performance.
Indicator Settings
SMA over last N samples - A moving average computed on the synthetic close series. Can be hidden for a cleaner layout.
Supertrend Source - Price field from the synthetic candle.
ATR Period and Factor - Standard Supertrend controls applied on the synthetic series.
Visuals and UI
Show Synthetic Bars - Turn synthetic candles on or off.
Candle Color Mode - Green/Red, Volume Intensity, Neutral, or Adaptive.
Mark new samples - Puts a dot when a bucket closes.
Show Time Bars - Overlay regular candles for comparison.
Paint candles according to Trend - Colors chart candles using current synthetic Supertrend direction.
Line Width , Colors , and Stats Table toggles.
Some workflow notes:
Trend Following
Set Sampling Method = Volume, Filter = Median, and a reasonable Rolling Lookback so busy regimes produce more samples.
Trade in the direction of the Volume Sampled Supertrend. Because flips require real participation, you tend to avoid micro whipsaws seen on time bars.
Use the synthetic SMA as a bias rail and trailing reference for partials or re-entries.
Breakout and Continuation
Watch for rapid clustering of new sample markers and a clean flip of the synthetic Supertrend.
The compression of quiet time and expansion in busy bursts often makes breakouts more legible than on uniform time charts.
Mean Reversion
In instruments that oscillate, faded moves against the synthetic Supertrend are easier to time when the bucket cadence slows and Supertrend flattens.
Combine with the synthetic SMA and return statistics in the table for sizing and expectation setting.
Stats table (top right)
Method and Total Samples - Sampling regime and current synthetic history length.
Current Vol or Dollar and Threshold - Live bucket fill versus the trigger.
Bars in Bucket and Avg Bars per Sample - How much time data each synthetic bar tends to compress.
Avg Return and Return StdDev - Simple research metrics over synthetic close-to-close changes.
Why this reduces noise
Time based bars treat a 5 minute print with 1 percent of average participation the same as one with 300 percent. Volume sampling equalizes bar information content. By advancing the bar only when sufficient activity occurs, you skip low quality intervals that add variance but little signal. For banded systems like Supertrend, this often means fewer false flips and cleaner runs.
Notes and tips
Use Dollar Bars on assets where nominal price varies widely over time or across symbols.
Median filter can resist single burst outliers when setting dynamic thresholds.
If you need a stable research baseline, set Use Fixed and keep the threshold constant across tests.
Enable Show Time Bars occasionally to sanity check what the synthetic stream is compressing or stretching.
Link again for reference
Original Volume Based Sampling engine:
Bottom line
When you let participation set the clock, your Supertrend reacts to meaningful flow instead of idle prints. The result is a cleaner state machine, fewer micro whipsaws, and a trend read that respects when the market is actually trading.
OG Indicators - EnhancedA simple effort to combine William's % R, MACD & Stochastic into single script
KCP MMA Trend [Dr.K.C.PRAKASH]KCP MMA Trend
⚙️ Core Logic:
This indicator uses two custom Modified Moving Averages (MMAs) — named KCP 1 and KCP 2 — to track market momentum and identify trend changes.
When the faster average (KCP 1) moves above the slower one (KCP 2), it indicates upward momentum.
When KCP 1 moves below KCP 2, it signals downward momentum.
📈 Crossover Signals:
BUY Signal: Triggered when KCP 1 crosses above KCP 2, showing a possible shift to a bullish trend.
SELL Signal: Triggered when KCP 1 crosses below KCP 2, showing a possible shift to a bearish trend.
🎨 Chart Display:
KCP 1 is plotted as an orange line.
KCP 2 is plotted as a blue line.
Crossovers are visually highlighted with BUY and SELL labels on the price chart for easy interpretation.
🔔 Alerts:
Two alert conditions are included:
Buy Alert: “KCP 1 crossed ABOVE KCP 2”
Sell Alert: “KCP 1 crossed BELOW KCP 2”
These can be linked to TradingView alerts for real-time notifications.
🧩 Purpose:
The indicator is designed to identify trend direction and reversals clearly and simply, without requiring any manual settings or inputs.
It helps traders capture early entries and exits by following clean crossover-based momentum shifts.
VWAP HMA Trends
It visually syncs Trend, VWAP, and Confidence — giving you instant clarity to trade with calm precision.
⚙️ The Three Core Gauges:
1. 📈 Trend Green for up, Red for down (Trend: Confirms direction)
2. 💰 VWAP Price vs. Volume Weighted Average Price. Institutional Fair Value. (Bull or Bear)
3. 🎯 Confidence Agreement between trend & VWAP. Dont fight the trend.
Bonus Feature: Confidence Turns 🟢 Confident when aligned, 🟡 Cautious when mixed.
Together, these create a clean, visual readout of the market’s health.
🧩 How to Use
Watch the Color Flow:
🟢 Green Cloud → Buyers in control.
🔴 Red Cloud → Sellers in control.
Check VWAP (Orange Line):
Price above VWAP → bullish strength.
Price below VWAP → bearish control.
Hovering at VWAP → indecision. Wait.
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Act With Discipline:
Trade only when all gauges agree.
Add size only in Confident conditions.
Trim or tighten stops when it shifts to Cautious.
⚡ Quick Reference:
🟢 Green cloud + above VWAP + Confident | Uptrend continuation | Favor long bias
🔴 Red cloud + below VWAP + Confident | Downtrend continuation | Favor short bias
Mixed colors or Cautious: Wait or scale back
Cloud flips color: Possible shift. Reassess bias next bar
⚖️ Disclaimer: Educational and informational use only. Not financial advice. Always use independent judgment and position sizing.
Event Marking [zidaniee]This is not a technical analysis indicator, but a visual tool designed to mark important global events using vertical lines on your chart.
By placing a single marker at the exact time an event occurred, you can compare how different assets reacted to that global event — before, during, and after it happened.
In the example provided, the marking corresponds to the moment when U.S. President Donald Trump announced a 100% tariff on goods from China, which was immediately reflected in market reactions worldwide.
The indicator includes full customization features for:
• Event label text
• Label size and position
• Line color, style, and width
Enjoy
Volume Profile and Indicator by Daniel KatzensteinAfter 10 years of trading, I decided to make an indicator that suits me better for market analysis.
EMA Ribbon Reversal + Retest Signal🧩 1. Core Concept
This indicator combines EMA ribbon trend detection, reversal identification, and EMA144/233 retest confirmation to capture structured market transitions.
It’s designed to:
Detect trend changes when all EMAs align.
Confirm entry zones when price retests major EMAs (144, 233).
Avoid false signals through compression, volume, and body strength filters.
🧠 2. How to Read the Indicator on Chart
🟢 BUY Sequence (Bullish Scenario)
Reversal Detected → Candle closes above all EMAs (label: “BUY”).
Retest Phase → Price pulls back to EMA144 or EMA233 but stays above (label: “Retest BUY Strong/Weak”).
Confirmation → A bullish candle forms with strong volume — continuation likely.
Trend continues upward until opposite “SELL Reversal” occurs.
🔴 SELL Sequence (Bearish Scenario)
Reversal Detected → Candle closes below all EMAs (label: “SELL”).
Retest Phase → Price retests EMA144/233 from below but fails to break up (label: “Retest SELL Strong/Weak”).
Confirmation → Bearish candle + strong volume — continuation likely.
Downtrend continues until new “BUY Reversal” appears.
📈 3. How to Use in Real Trading
Step 1 — Identify Market Context
Use higher timeframe (e.g., 1H or 4H) to confirm main trend via EMA144 & 233.
Avoid entries during flat EMA ribbons (compression zones).
Step 2 — Watch for Reversal Signal
“BUY” or “SELL” label = early trend shift.
Wait for at least one candle close after the reversal for confirmation.
Step 3 — Wait for Retest Confirmation
Price should touch or bounce near EMA144/233.
“Retest BUY/SELL Strong” = higher probability entry zone.
Step 4 — Filter by Volume
Strong signals appear only if volume > SMA(volume) × multiplier.
Low-volume retests are weaker and more likely to fail.
Step 5 — Manage Trades
Enter on confirmed “Strong” retests.
Use EMA233 or ATR-based stop loss.
Exit on opposite reversal or loss of trend alignment.
💡 4. Reading Behavior Tips
EMA compression low (<0.2) → sideways market → avoid entries.
Strong retest + high volume → high probability continuation.
Weak retest or compressed EMA → caution; may be fakeout.
EMA144 & 233 cross → long-term trend shift zone.
Spaced signals = stable trend; clustered signals = volatility zone.
🔔 5. Using Alerts
You can set TradingView alerts for:
BUY/SELL Reversal: Trend direction change
Retest BUY/SELL Strong: Confirmation entry
BUY/SELL Breakout: First strong test after new reversal
My EMA IndicatorMy Absolutely Profitable Indicator
It can be use when ema9 crosses ema100 and so on...
Use it with Volume Oscillator...
Simple RSIThis script is just a fun little project I decided to do. It serves as a way for me to practice my coding and was not made with the intent of making money.
- Standardized Money Flow Index with Multi-MA and BB OverlayThis custom Money Flow Index (MFI) script enhances the standard MFI by introducing multiple layers of configurability, statistical normalization, and visual clarity. It begins with the traditional MFI calculation using the average price, hlc3, and a user-defined length, then offers the option to standardize the output. Standardization transforms the MFI into a z-score by subtracting a rolling mean and dividing by a rolling standard deviation, making the indicator statistically interpretable across different assets, timeframes, and volatility regimes. When standardization is active, the overbought and oversold thresholds shift from the conventional 80 and 20 to +2 and –2, aligning them with standard deviation boundaries and improving signal clarity in volatile environments.
Beyond standardization, the script introduces a robust smoothing engine. Users can choose from several moving average types, including SMA, EMA, SMMA (RMA), WMA, and VWMA, to reduce noise and highlight trend shifts. A particularly advanced option is the “SMA + Bollinger Bands” mode, which overlays volatility envelopes around the smoothed MFI using a user-defined standard deviation multiplier. This feature helps traders identify when the MFI is unusually high or low relative to its recent behaviour, adding a volatility-adjusted layer of insight, especially useful in momentum or mean-reversion setups.
Visually, the script is designed for clarity, modularity, and flexibility. It plots the raw or standardized MFI in purple, overlays the smoothed version in yellow if enabled, and adds green Bollinger Bands when selected. It also includes horizontal reference lines for overbought, oversold, and midpoint levels, which dynamically adjust based on whether standardization is active. A shaded background between the overbought and oversold lines further enhances readability, helping traders quickly assess momentum extremes and potential inflection zones.
Compared to the standard MFI, which offers a fixed calculation, limited visual feedback, and no statistical context, this enhanced version is modular, customizable, and statistically grounded. It allows traders to tailor the indicator to their strategy, whether they prefer raw signals, smoothed trends, or volatility-adjusted extremes. These enhancements make it a powerful building block for more sophisticated signal engines, especially when combined with filter gating, persistent state logic, or multi-indicator overlays.
Confluence Zone BuilderWhat It Does
The Confluence Zone Builder is a technical analysis indicator that identifies high-probability price levels by detecting where multiple technical factors align (converge) at the same price area. These "confluence zones" represent levels where price is statistically more likely to react - either bouncing (support/resistance) or breaking through (breakout targets).
How It Works
1. Multi-Factor Analysis
The indicator calculates key technical levels from various sources:
Fibonacci Retracements (23.6%, 38.2%, 50%, 61.8%, 78.6%) - Support/resistance levels based on recent price swings
Fibonacci Extensions (127.2%, 141.4%, 161.8%, 200%, 261.8%) - Breakout targets beyond the current range (both bullish and bearish)
Pivot Points (Classic pivots: P, R1-R3, S1-S3) - Daily/weekly reference points traders watch
Moving Averages (EMA 20, 50 and SMA 100, 200) - Dynamic support/resistance that institutions track
VWAP - Volume-weighted average price, popular among institutional traders
Psychological Levels - Round numbers that attract orders
Previous Period Levels - Prior day/week high, low, and close
2. Proximity Clustering
When multiple factors fall within a defined proximity range (default 0.5%), they're grouped together into a single "confluence zone." This prevents cluttering the chart with dozens of individual lines.
3. Weighted Scoring System
Not all technical factors are equal. The indicator assigns importance weights:
Key Fibonacci levels (61.8%) and major MAs (200, 50) get higher weights (2.0-2.5x)
Pivot points and VWAP get medium weights (1.5x)
Minor factors get lower weights (1.0x)
The total score reflects both the number of factors and their importance.
4. Historical Validation
The indicator analyzes the last 50 bars (customizable) to track:
Touches: How many times price reached each zone
Rejections: Times price bounced off the zone (✅)
Breaks: Times price broke through the zone (❌)
Win Rate: Percentage of times the zone held (rejections ÷ touches)
5. Dynamic Adjustment
Zones aren't static - they adapt based on how price interacts with them:
Strengthens (+0.5 per rejection, +0.2 per touch): Zones that repeatedly hold become more important
Weakens (-0.8 per break): Zones that fail to hold lose credibility
Visual Indicators:
Thick solid lines = Strong zones (more rejections than breaks)
Dashed lines = Weak zones (more breaks than rejections)
Color-coded by score: Blue (low), Yellow (medium), Red (high)
What You Gain From Using It
For Support/Resistance Trading:
High-probability entries: Enter at zones with high confluence scores and strong historical win rates
Better risk management: Place stops beyond strong confluence zones that are likely to hold
Reduced false signals: Multi-factor confirmation reduces reliance on single indicators
For Breakout Trading:
Target identification: Fibonacci extensions provide profit targets beyond current ranges
Breakout confirmation: Weak zones (dashed lines, low win rates) are easier to break - ideal for breakout entries
False breakout avoidance: Strong zones (thick lines, high win rates) require more confirmation before entering
For Position Management:
Exit planning: Take profits at high-confluence zones ahead
Stop placement: Use strong zones as logical stop-loss levels
Trade filtering: Higher probability setups occur at stronger zones
Key Advantages:
Objective confluence detection - No manual line drawing needed
Data-driven validation - Historical performance shows which zones actually matter
Adaptive intelligence - Zones strengthen/weaken based on real price action
Clean visualization - Top zones only, with compact labels showing score and factors
Customizable - Adjust weights, components, and thresholds to your trading style
Bottom Line:
Instead of guessing which technical level matters most, this indicator does the heavy lifting - analyzing multiple factors, validating them historically, and highlighting only the zones where price is most likely to react. It's like having confluence analysis automated with statistical backing.
SJA WINFUT B3-10
INDICATOR FOR WINFUT B3 – 5-minute chart.
This indicator was designed to trade the Bovespa index futures contract (WINFUT) on the 5-minute chart.
It integrates technical analysis and macroeconomic context elements.
It combines several indicators in which the system calculates a score weighted by color and intensity for each indicator, generating a metric called “STRENGTH %,” which reflects the dominance of buyers (green), sellers (red), or sideways movement (orange) at the moment.
The calculation is adapted to market hours:
Between 9:00 a.m. and 9:59 a.m., it considers only the available indicators; after 10:00 a.m., it uses all data.
The panel displays real-time information, including divergences between strength and price, providing robust decision support for short-term operations on the mini index.
Buying trend.
The more green indicators (at the top of the panel) and dark blue indicators (at the bottom of the panel) and the higher the strength percentage, the greater the probability of buying.
Selling trend.
The more red indicators (at the top of the panel) and dark blue indicators (at the bottom of the panel) and the higher the strength percentage, the greater the probability of selling.
Translated with DeepL.com (free version)
