BRN TENDENCIAL (Alta / Baixa / Neutro) — com PerfisObjectively classify the market into 3 states: Bullish, Bearish, or Neutral.
Classic Ribbon Detection:
Bullish = MA1 > MA2 > MA3 > MA4 > MA5 > MA6
Bearish = MA1 < MA2 < MA3 < MA4 < MA5 < MA6
Neutral = when the alignment is not met (crossovers/disorder).
Optional simple mode (toggle): consider only MA1 and MA6 (Bullish = MA1 > MA6, Bearish = MA1 < MA6).
Pre-configured profiles (A/B/C) to recognize only large movements with one click.
Full manual configuration: choose the type of average (SMA/EMA/HMA/VWMA) and the periods for each of the 6 MAs.
Optional "big moves" filters:
Minimum Ribbon width (%) to require "fan opening";
Minimum MA1 slope (%) to require strong direction.
Clean visuals for quick reading: 6 Ribbon lines, background mask by state, optional bar color, and fill between MA1 and MA6.
Trademark start markers (UP/DOWN/NEUTRAL) to identify transitions on the chart.
Practical use: Serves as a trend filter for your strategies/signals (e.g., only trade Long on Highs, Short on Lows).
Focus on controlled neutrality: With profiles and filters, it prioritizes Neutral in noise and only marks a trend when the movement is truly significant.
오실레이터
Fear index by Clarity ChartsFear Index – Market Sentiment Strength Meter
The Fear Index is a unique, custom-built indicator designed to visualize market sentiment shifts by highlighting periods of fear (red) and confidence (green) directly on your chart. Unlike traditional oscillators, this tool combines price action dynamics with volume intensity to detect when participants are aggressively selling or confidently buying.
How to Use:
Red spikes indicate rising fear, panic, or heavy selling pressure – potential trend reversals or breakdown signals.
Green spikes highlight confidence, strength, or accumulation – signaling possible recovery or continuation.
Best used with trend analysis, support/resistance zones, and volume confirmation for high-probability setups.
Why this is different:
Not a copy of any existing indicator – this is a brand-new formula.
Helps you anticipate market mood before major price swings.
Works across multiple timeframes and instruments (indices, stocks, crypto, forex).
Pro Tip: Combine this with EMA/Trend filters for powerful trade entries and exits.
Support the Work
If you find this indicator valuable, please boost by like, comment, and share it so I can continue creating more powerful and innovative tools for traders like you. Your support keeps this research alive!
SAR Oscillator [Bellsz]Converts Parabolic SAR into a normalized oscillator with crossover signals, gradient fills, and trend strength levels. A cleaner way to read SAR momentum. Making it easier to read momentum shifts, trend strength, and reversals directly in the sub-chart. Instead of dots on price only, this tool converts SAR dynamics into a smooth oscillator that highlights bias and turning points.
What it shows
Normalized Price Line — scaled view of price relative to SAR.
Normalized SAR Line — SAR value normalized across the high/low range.
SAR Dots — visual cue when crossovers occur (potential reversal or trend acceleration).
Gradient Fill — color-coded background for quick read of momentum direction/intensity.
Guide Levels — ±50 baseline to track trend strength and overextension.
Why use it
Converts SAR into an oscillator format, easier to compare across instruments & timeframes.
Highlights momentum shifts early (crossovers, gradient flips).
Adds structure with gradient fill and baselines, making SAR more actionable than standard dot plots.
Works as a trend bias filter or confirmation tool alongside other indicators.
Inputs
Acceleration / Increment / Maximum — adjust SAR sensitivity.
Custom Colors — choose your scheme for price, SAR, and gradients.
Best practices
Use on intraday or swing TFs as a trend bias filter.
Look for Normalized Price crossing Normalized SAR as potential entry signals.
Watch how SAR dots cluster near ±100 for exhaustion or reversal signals.
Notes
This is a visual enhancement of SAR; it does not repaint.
Combine with volume, FVGs, or session models for added context.
MACD Quadrant Matrix – 10 US MajorsThis script provides a quadrant matrix visualization of the MACD indicator across 10 major U.S. stocks (AAPL, MSFT, NVDA, AMZN, GOOGL, META, TSLA, BRK.B, UNH, LLY).
It is designed as a visual screening tool to quickly analyze the relative MACD conditions of large-cap U.S. equities.
# Quadrant Logic
Q1 (Green): MACD > 0 and MACD > Signal
Q2 (Orange): MACD > 0 and MACD < Signal
Q3 (Blue): MACD < 0 and MACD > Signal
Q4 (Red): MACD < 0 and MACD < Signal
# Features
Adjustable timeframe (default: Daily)
Quadrant background visualization
Optional jitter to reduce overlap of bubbles
Tooltip display with MACD, Signal, and Delta values
Counts of how many symbols fall into each quadrant
# Limitations
Symbol list is fixed to 10 large-cap U.S. stocks (modifiable in code).
This is a visualization tool only. It does not generate buy/sell signals.
Results and quadrant positioning will vary depending on timeframe selection.
# Disclaimer
This script is for educational and analytical purposes only.
It is not financial advice, and should not be relied upon for trading or investment decisions.
Trading and investing carry risk, and users should perform their own due diligence.
RSI Bands With RSI - ATR Trend StrategyRSI Bands With RSI-ATR Trend Line Strategy
Overview
A trend-following strategy that combines RSI regime detection with a smoothed baseline and ATR bands. Works similar to Supertrend: the line flips bullish or bearish only when price closes beyond the band, aiming to filter noise and catch clean moves.
How It Works
RSI above 50 = bullish bias, below 50 = bearish bias
A dynamic baseline is calculated from RSI and price range, then smoothed
ATR bands expand/contract with volatility
Close above the upper band → bullish flip → long entry
Close below the lower band → bearish flip → short entry
Between bands → prior trend continues
Features
Automatic Buy/Sell entries on confirmed flips
Configurable RSI, Smoothing, ATR, and Multiplier inputs
Visual trend line (green = bull, red = bear)
Backtest ready with initial capital and commission settings
Best Use Cases
Trending markets across Forex, Crypto, Indices, Commodities
Works on multiple timeframes (higher TFs = cleaner flips)
Flexible settings for conservative swing trading or aggressive scalping
⚠️ For testing/education only. Always manage risk and confirm with higher-timeframe or structure filters.
BDNS ORB Strategy v3BDNS Opening Range Breakout Strategy
What This Strategy Does This strategy implements an Opening Range Breakout (ORB) system that identifies the high and low prices during a customizable opening period, then trades breakouts above or below these levels with momentum confirmation. The strategy goes beyond basic ORB concepts by incorporating ADX momentum filtering, VWAP directional bias, dynamic position sizing, and sophisticated exit management including breakeven moves and trailing stops.
Core Strategy Logic
Opening Range Definition: The strategy tracks price action during a user-defined opening period (default: 9:30-9:35 AM ET for 5 minutes). During this time, blue horizontal lines appear marking the session high and low. A yellow background highlights this opening range period.
Breakout Detection: After the opening range completes, green and red horizontal lines appear showing the actual entry levels - these are offset from the range boundaries by a configurable number of ticks (default: 24 ticks) to filter out false breakouts and ensure committed moves.
Entry Conditions: Trades trigger when price breaks through these offset levels during the trading window (green background, default until 10:30 AM ET), but only when:
ADX momentum indicator exceeds threshold (default 24.0) in the breakout direction
Price relationship to VWAP confirms directional bias (when VWAP filter enabled)
Daily trade limits haven't been reached
Large range filtering conditions are met
Visual Elements and Usage
Range Lines: Blue lines show the actual opening range boundaries. These appear immediately when the opening session begins.
Entry Levels: Green (long) and red (short) lines show where trades will trigger, appearing after the opening range completes.
Information Table: A data table appears in the top-right showing real-time strategy status including range size in ticks, ADX readings, filter status, trade counts, and momentum conditions.
Position Management:
When in a trade, colored circles appear showing:
Lime circles: Long position targets (T1, T2, T3)
Orange circles: Short position targets
Red circles: Stop loss levels
Blue crosses: Breakeven levels (when that feature activates)
Purple lines: Trailing stop levels (when position 3 trailing activates)
Background Colors:
Yellow: Opening range session active
Green: Trading window active
Purple: Large range day detected
Gray: Large range day being skipped
Position Management System
The strategy uses a three-tier exit approach:
Position 1: Takes partial profits at first target (default 50% of range size)
Position 2: Exits at second target (default 100% of range size)
Position 3: Either exits at third target or uses trailing stop after Position 2 wins
Breakeven Feature: When enabled and price reaches the breakeven trigger level, all stop losses move to a more favorable breakeven level instead of the original stop, protecting against giving back profits.
Trailing Stop System: After Position 2 hits its target, Position 3 automatically switches to a trailing stop that moves in the trader's favor as price continues trending.
Customization for Different Instruments
The default settings are configured for MNQ (Micro NASDAQ futures) but the ORB concept is highly customizable for any futures instrument and timeframe. Range duration, breakout offsets, and filter thresholds should be adjusted based on the specific instrument's volatility characteristics and typical intraday patterns.
Filter Usage Guidelines
ADX Momentum Filter: Essential for avoiding breakouts during consolidation. Higher thresholds (30+) for trending markets, lower (20-25) for more opportunities.
VWAP Filter: Helpful in trending conditions but may reduce trade frequency. Better to disable during range-bound or mean-reverting periods.
Large Range Filter: Critical risk management tool. When the opening range exceeds your threshold:
Skip: Avoids trades when stops would be too large
Fade: Trades mean reversion back into the range
Trade: Takes breakouts regardless (higher risk)
Range Size Considerations: Setting a large range threshold (200-400 ticks) helps avoid days when both sides of the range get tested before any meaningful breakout occurs, which often leads to whipsaws.
Risk Management Features
Dynamic Stops and Targets: All exit levels scale with the opening range size, ensuring risk/reward remains consistent regardless of daily volatility. A 100-tick range day will have proportionally smaller stops than a 300-tick range day.
Position Sizing: Configure contract amounts for each position tier based on account size and risk tolerance.
Daily Trade Limits: Prevents overtrading by limiting trades per direction per day.
Breakout Offset: The tick offset from range boundaries is crucial - too small creates false signals, too large misses good moves. Test different values based on your instrument's typical noise levels.
Advanced Features
Large Third Target: Set Target 3 to 300-500% to essentially hold runners indefinitely, using the trailing stop as the primary exit method for capturing extended trends.
Fade Trading: On large range days, the strategy can trade mean reversion when initial breakouts fail, often providing good counter-trend opportunities.
Time-Based Exits: All positions close at the end of the trading window, preventing overnight risk.
Strategy Properties Used
Initial Capital: $5,000 (realistic for micro contract trading)
Commission: $0.50 per contract (realistic retail rates)
Position Size: 100% of equity (manages risk through contract quantities and stop placement)
Default quantities: 3/1/1 contracts across the three positions
The default settings assume larger account sizes or proprietary trading firm accounts where higher risk tolerance is acceptable. With MNQ at $0.50 per tick, a typical 200-tick opening range with 75% stop loss (150 ticks) would risk $375 on a 5-contract position. For smaller retail accounts, consider reducing position sizes significantly - using only Position 1 (3 contracts) would risk $225, or even reducing to 1-2 total contracts to maintain appropriate risk levels relative to account size.
Getting Started Apply the strategy to your preferred instrument
Adjust the opening range time and duration for your market
Set appropriate breakout offset based on typical noise levels
Configure large range threshold based on your risk tolerance
Test filter combinations to find what works best for your trading style
Adjust contract quantities based on your account size and risk management rules
The strategy works best on liquid instruments with clear opening sessions and sufficient volatility to generate meaningful ranges. Results will vary significantly based on market conditions, parameter settings, and the specific instrument traded.
I warrant that the information created and published by by me here on TradingView is not prohibited, doesn't constitute investment advice, and isn't created solely for qualified investors.
ATAI Volume Pressure Analyzer V 1.0 — Pure Up/DownATAI Volume Pressure Analyzer V 1.0 — Pure Up/Down
Overview
Volume is a foundational tool for understanding the supply–demand balance. Classic charts show only total volume and don’t tell us what portion came from buying (Up) versus selling (Down). The ATAI Volume Pressure Analyzer fills that gap. Built on Pine Script v6, it scans a lower timeframe to estimate Up/Down volume for each host‑timeframe candle, and presents “volume pressure” in a compact HUD table that’s comparable across symbols and timeframes.
1) Architecture & Global Settings
Global Period (P, bars)
A single global input P defines the computation window. All measures—host‑TF volume moving averages and the half‑window segment sums—use this length. Default: 55.
Timeframe Handling
The core of the indicator is estimating Up/Down volume using lower‑timeframe data. You can set a custom lower timeframe, or rely on auto‑selection:
◉ Second charts → 1S
◉ Intraday → 1 minute
◉ Daily → 5 minutes
◉ Otherwise → 60 minutes
Lower TFs give more precise estimates but shorter history; higher TFs approximate buy/sell splits but provide longer history. As a rule of thumb, scan thin symbols at 5–15m, and liquid symbols at 1m.
2) Up/Down Volume & Derived Series
The script uses TradingView’s library function tvta.requestUpAndDownVolume(lowerTf) to obtain three values:
◉ Up volume (buyers)
◉ Down volume (sellers)
◉ Delta (Up − Down)
From these we define:
◉ TF_buy = |Up volume|
◉ TF_sell = |Down volume|
◉ TF_tot = TF_buy + TF_sell
◉ TF_delta = TF_buy − TF_sell
A positive TF_delta indicates buyer dominance; a negative value indicates selling pressure. To smooth noise, simple moving averages of TF_buy and TF_sell are computed over P and used as baselines.
3) Key Performance Indicators (KPIs)
Half‑window segmentation
To track momentum shifts, the P‑bar window is split in half:
◉ C→B: the older half
◉ B→A: the newer half (toward the current bar)
For each half, the script sums buy, sell, and delta. Comparing the two halves reveals strengthening/weakening pressure. Example: if AtoB_delta < CtoB_delta, recent buying pressure has faded.
[ 4) HUD (Table) Display /i]
Colors & Appearance
Two main color inputs define the theme: a primary color and a negative color (used when Δ is negative). The panel background uses a translucent version of the primary color; borders use the solid primary color. Text defaults to the primary color and flips to the negative color when a block’s Δ is negative.
Layout
The HUD is a 4×5 table updated on the last bar of each candle:
◉ Row 1 (Meta): indicator name, P length, lower TF, host TF
◉ Row 2 (Host TF): current ↑Buy, ↓Sell, ΔDelta; plus Σ total and SMA(↑/↓)
◉ Row 3 (Segments): C→B and B→A blocks with ↑/↓/Δ
◉ Rows 4–5: reserved for advanced modules (Wings, α/β, OB/OS, Top
5) Advanced Modules
5.1 Wings
“Wings” visualize volume‑driven movement over C→B (left wing) and B→A (right wing) with top/bottom lines and a filled band. Slopes are ATR‑per‑bar normalized for cross‑symbol/TF comparability and converted to angles (degrees). Coloring mirrors HUD sign logic with a near‑zero threshold (default ~3°):
◉ Both lines rising → blue (bullish)
◉ Both falling → red (bearish)
◉ Mixed/near‑zero → gray
Left wing reflects the origin of the recent move; right wing reflects the current state.
5.2 α / β at Point B
We compute the oriented angle between the two wings at the midpoint B:
β is the bottom‑arc angle; α = 360° − β is the top‑arc angle.
◉ Large α (>180°) or small β (<180°) flags meaningful imbalance.
◉ Intuition: large α suggests potential selling pressure; small β implies fragile support. HUD cells highlight these conditions.
5.3 OB/OS Spike
OverBought/OverSold (OB/OS) labels appear when directional volume spikes align with a 7‑oscillator vote (RSI, Stoch, %R, CCI, MFI, DeMarker, StochRSI).
◉ OB label (red): unusually high sell volume + enough OB votes
◉ OS label (teal): unusually high buy volume + enough OS votes
Minimum votes and sync window are user‑configurable; dotted connectors can link labels to the candle wick.
5.4 Top3 Volume Peaks
Within the P window the script ranks the top three BUY peaks (B1–B3) and top three SELL peaks (S1–S3).
◉ B1 and S1 are drawn as horizontal resistance (at B1 High) and support (at S1 Low) zones with adjustable thickness (ticks/percent/ATR).
◉ The HUD dedicates six cells to show ↑/↓/Δ for each rank, and prints the exact High (B1) and Low (S1) inline in their cells.
6) Reading the HUD — A Quick Checklist
◉ Meta: Confirm P and both timeframes (host & lower).
◉ Host TF block: Compare current ↑/↓/Δ against their SMAs.
◉ Segments: Contrast C→B vs B→A deltas to gauge momentum change.
◉ Wings: Right‑wing color/angle = now; left wing = recent origin.
◉ α / β: Look for α > 180° or β < 180° as imbalance cues.
◉ OB/OS: Note labels, color (red/teal), and the vote count.
◉Top3: Keep B1 (resistance) and S1 (support) on your radar.
Use these together to sketch scenarios and invalidation levels; never rely on a single signal in isolation.
[ 7) Example Highlights (What the table conveys) /i]
◉ Row 1 shows the indicator name, the analysis length P (default 55), and both TFs used for computation and display.
◉ B1 / S1 blocks summarize each side’s peak within the window, with Δ indicating buyer/seller dominance at that peak and inline price (B1 High / S1 Low) for actionable levels.
◉ Angle cells for each wing report the top/bottom line angles vs. the horizontal, reflecting the directional posture.
◉ Ranks B2/B3 and S2/S3 extend context beyond the top peak on each side.
◉ α / β cells quantify the orientation gap at B; changes reflect shifting buyer/seller influence on trend strength.
Together these visuals often reveal whether the “wings” resemble a strong, upward‑tilted arm supported by buyer volume—but always corroborate with your broader toolkit
8) Practical Tips & Tuning
◉ Choose P by market structure. For daily charts, 34–89 bars often works well.
◉ Lower TF choice: Thin symbols → 5–15m; liquid symbols → 1m.
◉ Near‑zero angle: In noisy markets, consider 5–7° instead of 3°.
◉ OB/OS votes: Daily charts often work with 3–4 votes; lower TFs may prefer 4–5.
◉ Zone thickness: Tie B1/S1 zone thickness to ATR so it scales with volatility.
◉ Colors: Feel free to theme the primary/negative colors; keep Δ<0 mapped to the negative color for readability.
Combine with price action: Use this indicator alongside structure, trendlines, and other tools for stronger decisions.
Technical Notes
Pine Script v6.
◉ Up/Down split via TradingView/ta library call requestUpAndDownVolume(lowerTf).
◉ HUD‑first design; drawings for Wings/αβ/OBOS/Top3 align with the same sign/threshold logic used in the table.
Disclaimer: This indicator is provided solely for educational and analytical purposes. It does not constitute financial advice, nor is it a recommendation to buy or sell any security. Always conduct your own research and use multiple tools before making trading decisions.
- Trading Bot – Dynamic RSI (Professional) - Robot Strategy -1. General Concept and Philosophy
This strategy was designed for systematic traders and work especially well on short timeframes (1 to 5 minutes), who seek to capture trend reversal movements with a high degree of confirmation. The goal is not to follow the trend, but to identify precise entry points in oversold or overbought zones, and then to exit the position dynamically to adapt to changing market conditions.
The originality of Trading Bot Dynamic RSI lies not in a single indicator, but in the intelligent fusion of several concepts:
Dynamic RSI bands for both entries and exits .
A triple confirmation filter to secure trade entries.
A fully parameterizable design ready for automation .
2. Originality at the Core of the Strategy: Key Features
Dynamic Exits on RSI Bands: This is a main original feature of this script. Unlike traditional strategies that use fixed Take-Profits and Stop-Losses, this one uses an exit RSI band, calculated with parameters independent of the entry ones. This allows the strategy to:
Adapt to Volatility: In a volatile market, the exit band will move further away, allowing for the capture of larger moves. In a ranging market, it will tighten to secure smaller gains.
Optimize Profits: The exit occurs when momentum genuinely fades, not at an arbitrary price level, thus maximizing the potential of each trade.
Triple Confirmation Filter for Precise Entries: To avoid false signals, each entry is validated by the convergence of three distinct conditions:
The base signal is generated when the price reaches an overbought or oversold zone, materialized by an RSI band calculated directly on the chart.
The WaveTrend oscillator must also be in an extreme zone, confirming that the short-term momentum is ready for a reversal.
Finally, the StochRSI must validate that the RSI itself is in an overbought or oversold condition, adding an extra layer of security.
"Automation Ready" Design: The strategy was developed with automation in mind.
Customizable Alert Messages: All messages for entries and exits (Long/Short) can be formatted to be compatible with automated trade execution platforms.
Precise Capital Management: The position size calculation can be set as a fixed amount (e.g., 100 USDT), a percentage of the total capital, or of the available capital, and includes leverage. These parameters are crucial for a trading bot.
3. Detailed Operation
Entry Logic: A position is opened only if the following three conditions are met:
The market price touches (or closes below/above) the entry RSI band (lower for a buy, upper for a sell).
The WaveTrend indicator is in the oversold zone (for a buy) or overbought zone (for a sell).
The Stochastic RSI indicator is also in the oversold zone (for a buy) or overbought zone (for a sell).
The order is placed as a limit order on the RSI band, allowing for execution at the best possible price.
Exit Logic: The primary exit is dynamic.
For a Long position, the trade is closed when the price reaches the upper exit RSI band.
For a Short position, the trade is closed when the price reaches the lower exit RSI band.
Optionally, a percentage-based Stop-Loss and Take-Profit can be activated for more traditional risk management, although the dynamic exit is the recommended default mechanism.
4. Ease of Use and Customization
Despite its internal complexity, the strategy is designed to be user-friendly :
Clear Settings Panel: Parameters are grouped by function (Long Entry, Long Exit, Quantity, etc.), and each option comes with an explanatory tooltip.
Integrated Display: All key information (performance, current settings) is displayed in clean and discreet tables directly on the chart, allowing you to see at a glance how the strategy is configured.
Total Flexibility: Although default settings are provided, every parameter (RSI lengths, levels, filters) can be adjusted to optimize the strategy on any asset (cryptocurrencies, Forex, indices...) and any timeframe.
5. Detailed Guide to User Settings
A comprehensive set of parameters
To offer you complete control and maximum flexibility, the strategy exposes a comprehensive set of parameters. Here is an overview of what you can customize:
Trading Mode and Display
Trading Mode: Choose to enable only long positions ("Long Only"), only short positions ("Short Only"), or both simultaneously ("Long and Short").
Display: Manage the information panels on the chart. You can opt for a full display, a minimal window showing the profit, or hide all information for a clean chart.
Filters Smoothing (StochRSI K)
Filters Smoothing: This key parameter adjusts the smoothing of the Stochastic RSI. A lower value will make the filter more responsive, generating more signals. A higher value will make it smoother, generating fewer but potentially more reliable signals.
LONG Position Settings
Long Only mode
Entry: Define the RSI length and Oversold level that draw the lower band for long position entries.
Exit: Independently configure the RSI length and Overbought level that draw the upper band for the dynamic position exit.
Options: Optionally enable a percentage-based Take-Profit and/or Stop-Loss.
SHORT Position Settings
Short Only Mode
Entry: Define the RSI length and Overbought level for the upper entry band for short positions.
Exit: Independently configure the RSI length and Oversold level for the lower dynamic exit band.
Options: Just like for long positions, you can enable a percentage-based Take-Profit and/or Stop-Loss.
Quantity and Leverage
Quantity Type: Calculate your position size in three ways: as a fixed cash amount, as a percentage of available capital, or as a percentage of the total account balance.
Amount: Specify the dollar amount or percentage to commit per trade.
Leverage: Set the leverage to be applied. This is crucial for automation.
Backtest Period
Backtest Period: Enable this option to limit the strategy's calculations to a specific time period. This is a powerful tool for testing performance under particular market conditions.
Bot Alert Messages
Bot Alert Messages: This section is dedicated to automation. Customize the exact text messages that will be sent by TradingView alerts for each event (enter long, exit long, etc.).
Other Settings (Advanced - Optional)
Other Settings: This section allows experienced users to fine-tune the confirmation engine. You can adjust the parameters of the WaveTrend and Stochastic RSI oscillators in detail.
Spread Calculator (Informative Only)
Spread Calculator: This handy tool helps you estimate the actual fees of your exchange to run a much more realistic backtest. This panel has no impact on the trading logic itself.
Disclaimer
This strategy provides signals based on past market conditions. Past performance is not indicative of future results. Trading involves risk, and it is the responsibility of each user to manage their risk appropriately. It is strongly recommended to conduct thorough backtests and to understand the functioning of each parameter before using this strategy in live conditions or automating it. Take into account transaction fees, spread, and slippage, which can impact real results.
Asset Strength Index <DOSALGO>The Asset Strength Index (ASI) is a comprehensive dashboard indicator designed to provide traders with a broader perspective on market dynamics. Instead of viewing an asset in isolation, the ASI measures its relative strength against a basket of key global assets: Bonds, Gold, and the US Dollar.
This tool is built to give you an immediate, visual understanding of how the asset you are charting is performing in the context of the wider financial landscape. The analysis is presented across three distinct time horizons—Short-Term, Medium-Term, and Long-Term—allowing for a nuanced view of performance.
How It Can Be Useful
The core purpose of the ASI is to serve as a contextual analysis tool. By understanding an asset's strength or weakness relative to others, traders can gain valuable insights that may not be apparent from price action alone.
Inter-Market Confirmation: Use the dashboard to confirm your trading ideas. For example, a bullish outlook on a stock index could be strengthened if it shows increasing strength against safe-haven assets like Gold and Bonds.
Risk Sentiment Barometer: Gauge the prevailing risk-on or risk-off sentiment. If the US Dollar and Bonds are showing strength while your asset is weakening, it could indicate a broader market shift towards safety.
Multi-Term Perspective: Quickly assess if short-term movements are aligned with the longer-term trend. A short-term dip might be less concerning if the asset's long-term relative strength remains high.
How to Use It
The ASI dashboard is displayed directly on your chart. The values are presented as percentages, indicating the relative strength for each term.
Monitor the Readings: Observe the percentage values in the "S. Term," "M. Term," and "L. Term" columns. Positive values suggest relative strength, while negative values indicate relative weakness.
Look for Trends: The arrows (▲ or ▼) next to the percentage show the most recent change, helping you spot developing trends in relative strength.
Combine with Your Strategy: The ASI is not a standalone signal generator. It is most effective when used to supplement your existing trading system, helping you make more informed decisions by adding a layer of sophisticated, inter-market analysis.
The dashboard's appearance is fully customizable, allowing you to adjust its position, size, and colors to fit your chart layout.
Disclaimer
The Asset Strength Index (ASI) is a tool for market analysis and should not be considered financial advice. All trading involves risk, and past performance is not indicative of future results. Always use this indicator in conjunction with your own comprehensive trading plan and risk management strategy.
ST-Stochastic DashboardST-Stochastic Dashboard: User Manual & Functionality
1. Introduction
The ST-Stochastic Dashboard is a comprehensive tool designed for traders who utilize the Stochastic Oscillator. It combines two key features into a single indicator:
A standard, fully customizable Stochastic Oscillator plotted directly on your chart.
A powerful Multi-Timeframe (MTF) Dashboard that shows the status of the Stochastic %K value across three different timeframes of your choice.
This allows you to analyze momentum on your current timeframe while simultaneously monitoring for confluence or divergence on higher or lower timeframes, all without leaving your chart.
Disclaimer: In accordance with TradingView's House Rules, this document describes the technical functionality of the indicator. It is not financial advice. The indicator provides data based on user-defined parameters; all trading decisions are the sole responsibility of the user. Past performance is not indicative of future results.
2. How It Works (Functionality)
The indicator is divided into two main components:
A. The Main Stochastic Indicator (Chart Pane)
This is the visual representation of the Stochastic Oscillator for the chart's current timeframe.
%K Line (Blue): This is the main line of the oscillator. It shows the current closing price in relation to the high-low range over a user-defined period. A high value means the price is closing near the top of its recent range; a low value means it's closing near the bottom.
%D Line (Black): This is the signal line, which is a moving average of the %K line. It is used to smooth out the %K line and generate trading signals.
Overbought Zone (Red Area): By default, this zone is above the 75 level. When the Stochastic lines are in this area, it indicates that the asset may be "overbought," meaning the price is trading near the peak of its recent price range.
Oversold Zone (Blue Area): By default, this zone is below the 25 level. When the Stochastic lines are in this area, it indicates that the asset may be "oversold," meaning the price is trading near the bottom of its recent price range.
Crossover Signals:
Buy Signal (Blue Up Triangle): A blue triangle appears below the candles when the %K line crosses above the Oversold line (e.g., from 24 to 26). This suggests a potential shift from bearish to bullish momentum.
Sell Signal (Red Down Triangle): A red triangle appears above the candles when the %K line crosses below the Overbought line (e.g., from 76 to 74). This suggests a potential shift from bullish to bearish momentum.
B. The Multi-Timeframe Dashboard (Table on Chart)
This is the informational table that appears on your chart. Its purpose is to give you a quick, at-a-glance summary of the Stochastic's condition on other timeframes.
Function: The script uses TradingView's request.security() function to pull the %K value from three other timeframes that you specify in the settings.
Efficiency: The table is designed to update only on the last (most recent) bar (barstate.islast) to ensure the script runs efficiently and does not slow down your chart.
Columns:
Timeframe: Displays the timeframe you have selected (e.g., '5', '15', '60').
Stoch %K: Shows the current numerical value of the %K line for that specific timeframe, rounded to two decimal places.
Status: Interprets the %K value and displays a clear status:
OVERBOUGHT (Red Background): The %K value is above the "Upper Line" setting.
OVERSOLD (Blue Background): The %K value is below the "Lower Line" setting.
NEUTRAL (Black/Dark Background): The %K value is between the Overbought and Oversold levels.
3. Settings / Parameters in Detail
You can access these settings by clicking the "Settings" (cogwheel) icon on the indicator name.
Stochastic Settings
This group controls the behavior and appearance of the main Stochastic indicator plotted in the pane.
Stochastic Period (length)
Description: This is the lookback period used to calculate the Stochastic Oscillator. It defines the number of past bars to consider for the high-low range.
Default: 9
%K Smoothing (smoothK)
Description: This is the moving average period used to smooth the raw Stochastic value, creating the %K line. A higher value results in a smoother, less sensitive line.
Default: 3
%D Smoothing (smoothD)
Description: This is the moving average period applied to the %K line to create the %D (signal) line. A higher value creates a smoother signal line that lags further behind the %K line.
Default: 6
Lower Line (Oversold) (ul)
Description: This sets the threshold for the oversold condition. When the %K line is below this value, the dashboard will show "OVERSOLD". It is also the level the %K line must cross above to trigger a Buy Signal triangle.
Default: 25
Upper Line (Overbought) (ll)
Description: This sets the threshold for the overbought condition. When the %K line is above this value, the dashboard will show "OVERBOUGHT". It is also the level the %K line must cross below to trigger a Sell Signal triangle.
Default: 75
Dashboard Settings
This group controls the data and appearance of the multi-timeframe table.
Timeframe 1 (tf1)
Description: The first timeframe to be displayed in the dashboard.
Default: 5 (5 minutes)
Timeframe 2 (tf2)
Description: The second timeframe to be displayed in the dashboard.
Default: 15 (15 minutes)
Timeframe 3 (tf3)
Description: The third timeframe to be displayed in the dashboard.
Default: 60 (1 hour)
Dashboard Position (table_pos)
Description: Allows you to select where the dashboard table will appear on your chart.
Options: top_right, top_left, bottom_right, bottom_left
Default: bottom_right
4. How to Use & Interpret
Configuration: Adjust the Stochastic Settings to match your trading strategy. The default values (9, 3, 6) are common, but feel free to experiment. Set the Dashboard Settings to the timeframes that are most relevant to your analysis (e.g., your entry timeframe, a medium-term timeframe, and a long-term trend timeframe).
Analysis with the Dashboard: The primary strength of this tool is confluence. Look for situations where multiple timeframes align. For example:
If the dashboard shows OVERSOLD on the 15-minute, 60-minute, and your current 5-minute chart, a subsequent Buy Signal on your 5-minute chart may carry more weight.
Conversely, if your 5-minute chart shows OVERSOLD but the 60-minute chart is strongly OVERBOUGHT, it could indicate that you are looking at a minor pullback in a larger downtrend.
Interpreting States:
Overbought is not an automatic "sell" signal. It simply means momentum has been strong to the upside, and the price is near its recent peak. It could signal a potential reversal, but the price can also remain overbought for extended periods in a strong uptrend.
Oversold is not an automatic "buy" signal. It means momentum has been strong to the downside. While it can signal a potential bounce, prices can remain oversold for a long time in a strong downtrend.
Use the signals and dashboard states as a source of information to complement your overall trading strategy, which should include other forms of analysis such as price action, support/resistance levels, or other indicators.
Advanced Trend Momentum [Alpha Extract]The Advanced Trend Momentum indicator provides traders with deep insights into market dynamics by combining exponential moving average analysis with RSI momentum assessment and dynamic support/resistance detection. This sophisticated multi-dimensional tool helps identify trend changes, momentum divergences, and key structural levels, offering actionable buy and sell signals based on trend strength and momentum convergence.
🔶 CALCULATION
The indicator processes market data through multiple analytical methods:
Dual EMA Analysis: Calculates fast and slow exponential moving averages with dynamic trend direction assessment and ATR-normalized strength measurement.
RSI Momentum Engine: Implements RSI-based momentum analysis with enhanced overbought/oversold detection and momentum velocity calculations.
Pivot-Based Structure: Identifies and tracks dynamic support and resistance levels using pivot point analysis with configurable level management.
Signal Integration: Combines trend direction, momentum characteristics, and structural proximity to generate high-probability trading signals.
Formula:
Fast EMA = EMA(Close, Fast Length)
Slow EMA = EMA(Close, Slow Length)
Trend Direction = Fast EMA > Slow EMA ? 1 : -1
Trend Strength = |Fast EMA - Slow EMA| / ATR(Period) × 100
RSI Momentum = RSI(Close, RSI Length)
Momentum Value = Change(Close, 5) / ATR(10) × 100
Pivot Support/Resistance = Dynamic pivot arrays with configurable lookback periods
Bullish Signal = Trend Change + Momentum Confirmation + Strength > 1%
Bearish Signal = Trend Change + Momentum Confirmation + Strength > 1%
🔶 DETAILS
Visual Features:
Trend EMAs: Fast and slow exponential moving averages with dynamic color coding (bullish/bearish)
Enhanced RSI: RSI oscillator with color-coded zones, gradient fills, and reference bands at overbought/oversold levels
Trend Fill: Dynamic gradient between EMAs indicating trend strength and direction
Support/Resistance Lines: Horizontal levels extending from pivot-based calculations with configurable maximum levels
Momentum Candles: Color-coded candlestick overlay reflecting combined trend and momentum conditions
Divergence Markers: Diamond-shaped signals highlighting bullish and bearish momentum divergences
Analysis Table: Real-time summary of trend direction, strength percentage, RSI value, and momentum reading
Interpretation:
Trend Direction: Bullish when Fast EMA crosses above Slow EMA with strength confirmation
Trend Strength > 1%: Strong trending conditions with institutional participation
RSI > 70: Overbought conditions, potential selling opportunity
RSI < 30: Oversold conditions, potential buying opportunity
Momentum Divergence: Price and momentum moving opposite directions signal potential reversals
Support/Resistance Proximity: Dynamic levels provide optimal entry/exit zones
Combined Signals: Trend changes with momentum confirmation generate high-probability opportunities
🔶 EXAMPLES
Trend Confirmation: Fast EMA crossing above Slow EMA with trend strength exceeding 1% and positive momentum confirms strong bullish conditions.
Example: During institutional accumulation phases, EMA crossovers with momentum confirmation have historically preceded significant upward moves, providing optimal long entry points.
15min
4H
Momentum Divergence Detection: RSI reaching overbought levels while momentum decreases despite rising prices signals potential trend exhaustion.
Example: Bearish divergence signals appearing at resistance levels have marked major market tops, allowing traders to secure profits before corrections.
Support/Resistance Integration: Dynamic pivot-based levels combined with trend and momentum signals create high-probability trading zones.
Example: Bullish trend changes occurring near established support levels offer optimal risk-reward entries with clearly defined stop-loss levels.
Multi-Dimensional Confirmation: The indicator's combination of trend, momentum, and structural analysis provides comprehensive market validation.
Example: When trend direction aligns with momentum characteristics near key structural levels, the confluence creates institutional-grade trading opportunities with enhanced probability of success.
🔶 SETTINGS
Customization Options:
Trend Analysis: Fast EMA Length (default: 12), Slow EMA Length (default: 26), Trend Strength Period (default: 14)
Support & Resistance: Pivot Length for level detection (default: 10), Maximum S/R Levels displayed (default: 3), Toggle S/R visibility
Momentum Settings: RSI Length (default: 14), Oversold Level (default: 30), Overbought Level (default: 70)
Visual Configuration: Color schemes for bullish/bearish/neutral conditions, transparency settings for fills, momentum candle overlay toggle
Display Options: Analysis table visibility, divergence marker size, alert system configuration
The Advanced Trend Momentum indicator provides traders with comprehensive insights into market dynamics through its sophisticated integration of trend analysis, momentum assessment, and structural level detection. By combining multiple analytical dimensions into a unified framework, this tool helps identify high-probability opportunities while filtering out market noise through its multi-confirmation approach, enabling traders to make informed decisions across various market cycles and timeframes.
RSI MTF HWThis Pine Script indicator is designed to provide a comprehensive view of market momentum by plotting the Relative Strength Index (RSI) from four different time frames simultaneously on a single chart. This allows traders to quickly identify alignment or divergence in momentum across various time horizons, which can be a powerful tool for confirming trade setups or spotting potential trend reversals.
Key Features:
Customizable Inputs: The indicator provides a flexible set of user inputs, including a dropdown menu to select the data source for the RSI calculation (e.g., close, open, high, low). You can also define four separate RSI lengths to analyze different periods.
Multi-Time Frame Analysis: A key feature is the ability to choose a time frame for each of the four RSI lines from a predefined list (Chart, 1 day, 1 week, 1 month). The script uses the request.security() function with lookahead enabled to ensure the most accurate, real-time data is used for each calculation, eliminating look-ahead bias and calculation errors.
Visual Levels: The indicator plots standard RSI levels at 30, 50, and 70, with a shaded background between the oversold (30) and overbought (70) zones to provide a clear visual reference.
Momentum Alignment Signals: The script includes an optional feature that highlights the chart's background with a red or green color when all four RSIs simultaneously enter an overbought or oversold state. This serves as an immediate visual alert for a strong, multi-time frame momentum condition.
This indicator is a robust tool for technical analysis, suitable for traders who use a top-down approach to their market analysis.
MagnetOsc Turbo by ZuperView.comMagnetOsc Turbo - Multi-timeframe momentum analysis
Unlike conventional oscillators, MagnetOsc Turbo analyzes momentum on two independent timeframes simultaneously (e.g., 100-tick & 5-minute).
Why it matters: Momentum alignment across timeframes is a key signal of trend strength or turning points.
It provides bullish and bearish signals with alerts and works on any chart or timeframe. Blue marker = Bullish. Red marker = Bearish.
MagnetOsc Turbo by ZuperviewMagnetOsc Turbo - Multi-timeframe momentum analysis
Unlike conventional oscillators, MagnetOsc Turbo analyzes momentum on two independent timeframes simultaneously (e.g., 100-tick & 5-minute).
Why it matters: Momentum alignment across timeframes is a key signal of trend strength or turning points.
MO and Stoch GOLD H4 V1 – Kim TradingMO and Stoch GOLD H4 V1 – Kim Trading
Slogan: “Trading Is a Profession, Trading Is Life”
Market: XAUUSD (spot gold) • Timeframe: H4 (4 hours)
Entry/Exit Rules
When a B, B1★ … (buy) or S, S1★ … (sell) signal appears, first reference the prevailing trend and consider applying DCA in the direction of that trend. In addition, combine with other methods to build the most optimal setup.
Signal Confidence Tiers
B — S
B1★ — S1★
B2★ — S2★
B3★ — S3★
Enter trades only when one of the four signal types above is printed.
Author: Kim Trading • Version: V1 • Date: 2025-08-22
#XAUUSD #Gold #H4 #MO #Stoch #KimTrading
PowerTrend Pro Strategy – Gold OptimizedTired of false signals on Gold?
PowerTrend Pro combines VWAP, Supertrend, RSI, and smart MA filters with trailing stops & break-even logic to deliver high-probability trades on XAUUSD.
PowerTrend Pro Strategy is a professional-grade trading system designed to capture high-probability swing and intraday opportunities on XAUUSD (Gold) and other volatile markets.
🔑 Core Features
VWAP Anchoring – institutional fair value reference to filter trades.
Supertrend (ATR-based) – adaptive trend filter tuned for Gold’s volatility.
Multi-Timeframe RSI – confirms momentum alignment across intraday and higher timeframe.
EMA + SMA Combo – ensures trades follow strong directional bias, reducing false signals.
Dynamic Risk Management
Adjustable Take Profit / Stop Loss (%)
Trailing Stop that locks in profits on extended moves
Break-Even Logic (stop loss moves to entry once price is in profit)
⚡ Gold-Tuned Presets
XAUUSD 1H → tighter TP/SL & faster entries for active intraday trading.
XAUUSD 4H → wider ATR filter & trailing stops to capture bigger swings.
Generic Mode → works on Forex, Indices, and Crypto (fully customizable).
🎯 Why It Works
Gold is notoriously volatile — quick spikes wipe out weak strategies. PowerTrend Pro solves this by combining:
✅ Institutional bias (VWAP)
✅ Adaptive trend filter (Supertrend)
✅ Momentum confirmation (RSI MTF)
✅ Robust trend structure (EMA + SMA)
✅ Smart exits (TP, SL, trailing & breakeven)
This multi-layer confirmation makes entries stronger and keeps risk under control.
🛠️ Usage
Add the strategy to your chart.
Choose a preset (XAUUSD 1H, 4H, or Generic).
Run Strategy Tester for performance metrics.
Optimize TP/SL and ATR values for your broker & market conditions.
🔥 Pro Tip: Combine this strategy with a session filter (London/NY overlap) or volume confirmation to boost accuracy in Gold.
FUMO 200 MagnetWhat it does
FUMO Magnet measures how far price has stretched away from its long-term “magnet” — a blended EMA/SMA moving average (200 by default).
It plots a logarithmic deviation (optionally normalized) as an oscillator around zero.
Above 0** → price is above the magnet (stretched up)
Below 0** → price is below the magnet (stretched down)
Guide levels** highlight potential overbought/oversold zones
---
Why log deviation?
Log returns make extremes comparable across cycles and compress exponential trends — especially useful for BTC and other crypto assets.
Normalization modes further adjust the scale, keeping the oscillator readable on any chart.
---
Inputs
**Base**
* Source (default: Close)
* Base Length (default: 200 EMA/SMA)
* EMA vs SMA weight (%) — 0% = pure SMA, 100% = pure EMA, 50% = blended
* EMA smoothing of deviation — acts as a noise filter
**Normalization**
* None (Log Deviation) — raw log stretch in % terms
* Z-score — deviation in standard deviations (σ)
* Robust Z (MAD) — deviation vs median absolute deviation, resistant to outliers
* Tanh squash — smooth nonlinear squash of extremes for compact scale
* Normalization window (for Z / MAD)
* Tanh scale (lower = stronger squash)
* Clamp after normalization — hard cap at ±X
**Levels**
* Guide levels (Upper / Lower) — visual thresholds (default ±12)
* Zero line toggle
---
### How to read it
* **Trend bias**: sustained time above 0 = uptrend, below 0 = downtrend
* **Stretch / mean reversion**: the farther from 0, the higher the reversion risk
* **Cross-checks**: combine with structure (HH/HL, LH/LL), volume, or momentum (RSI, MACD)
---
### Recommended settings by timeframe
**Long-term (1D / 1W)**
* Normalization: None (Log Deviation)
* Base Length: 200
* EMA vs SMA weight: 50% (adjust 35–65% for faster/slower magnet)
* Deviation smoothing: 20 (10–30 range)
* Guide levels: ±12 to ±20
* Use case: cycle extremes, portfolio rebalancing, trim/add logic
**Swing (4H – 1D)**
* Normalization: Z-score
* Window: 200 (100–250)
* Smoothing: 14–20
* Guide levels: ±2σ to ±3σ
* Use case: stretched conditions across regimes; ±3σ is rare, often mean-reverts
**Intraday / Active swing (1H – 4H)**
* Normalization: Robust Z (MAD)
* Window: 200 (150 for faster response)
* Smoothing: 10–16
* Guide levels: ±3 to ±4 (robust units)
* Use case: handles spikes better than σ, fewer false overbought/oversold signals
**Scalping / Universal readability (15m – 1H)**
* Normalization: Tanh squash
* Tanh scale: 6–10 (start with 8)
* Smoothing: 8–12
* Guide levels: ±8 to ±12
* Use case: compact panel across assets and timeframes; not % or σ, but visually consistent
---
### Optional
* Clamp: enable ±20 (or ±25) for strict bounded range (useful for public charts)
---
### Quick setups
**BTC Daily (“cycle view”)**
* Normalization: None
* Blend: 50%
* Smooth: 20
* Levels: ±12–15
**BTC 4H (“swing”)**
* Normalization: Z-score
* Window: 200
* Smooth: 16
* Levels: ±2.5σ to ±3σ
**Alts 1H (“volatile”)**
* Normalization: Robust Z (MAD)
* Window: 200
* Smooth: 12
* Levels: ±3.5 to ±4.5
**Mixed assets 15m (“compact panel”)**
* Normalization: Tanh squash
* Scale: 8
* Smooth: 10
* Levels: ±8–12
* Clamp: ±20
MagnetOsc Turbo by ninZa.coMagnetOsc Turbo - Multi-timeframe momentum analysis
Unlike conventional oscillators, MagnetOsc Turbo analyzes momentum on two independent timeframes simultaneously (e.g., 100-tick & 5-minute).
Why it matters: Momentum alignment across timeframes is a key signal of trend strength or turning points.
Sniper-2025 Sniper-2025 Indicator Explanation
Overview
The Sniper-2025 indicator is a versatile technical analysis tool designed for TradingView, combining a Hyper Wave oscillator, Smart Money Flow analysis, divergence detection, reversal signals, confluence visualization, and a machine learning-based k-Nearest Neighbors (k-NN) prediction model. It provides traders with actionable buy and sell signals, trend insights, and confluence indicators to enhance decision-making across various trading strategies. The indicator is highly customizable, allowing users to adjust sensitivity, colors, and display options to suit their preferences.
Key Features
1. Hyper Wave Oscillator: A normalized oscillator based on price data, smoothed with either a Simple Moving Average (SMA) or Exponential Moving Average (EMA), highlighting momentum and potential reversal points.
2. Smart Money Flow: Tracks bullish and bearish money flow using a smoothed Money Flow Index (MFI), providing insights into market strength and direction.
3. Divergence Detection: Identifies bullish and bearish divergences between price and the oscillator, with optional labels displaying price levels.
4. Reversal Signals: Detects major and minor reversal conditions based on volume, oscillator values, and RSI, visualized as triangles and circles on the chart.
5. Confluence Meter and Areas: Visualizes alignment between the oscillator and MFI, indicating bullish or bearish confluence with customizable colors and shaded areas.
6. Signal and Divergence Labels: Displays labels for key oscillator levels (e.g., Z-Buy, Z-V-Sell) and money flow conditions (e.g., C-Buy, T-Sell) with customizable visibility and sizes.
7. Trend and Control Table: Shows the current trend (Bullish/Bearish) and control (Bull/Bear) in a customizable table positioned on the chart.
8. k-NN Prediction: Uses a k-Nearest Neighbors algorithm to predict price movement direction based on RSI indicators, with adjustable prediction sensitivity.
9. Gradient Fills and Alerts: Visualizes overbought and oversold zones with gradient fills and provides alert conditions for key crossovers and crossunders.
How It Works
- Hyper Wave Oscillator: The oscillator is calculated by normalizing the close price relative to the highest, lowest, and average prices over a user-defined length (default: 15). It is smoothed using SMA or EMA (default: SMA, length 3) to generate a signal line. Crossovers and crossunders of the oscillator and signal line are plotted as circles, indicating potential buy or sell signals.
- Smart Money Flow: The MFI is calculated over a user-defined length (default: 10) and smoothed (default: 6). It tracks bullish (positive) or bearish (negative) money flow, with colors changing based on direction (blue for bullish, red for bearish). The indicator compares current MFI to its historical average to identify strong trends.
- Divergence Detection: The script identifies divergences by comparing oscillator peaks/troughs with price highs/lows. Bullish divergences (price makes lower lows, oscillator does not) and bearish divergences (price makes higher highs, oscillator does not) are plotted as lines, with optional labels showing the divergence type and price.
- Reversal Signals: Major reversals are detected when volume exceeds a threshold (based on a 7-period SMA and reversal factor, default: 4) and the oscillator exceeds ±4. Minor reversals consider RSI (±20) and oscillator crossovers. Signals are plotted as triangles (major) or circles (minor), with blue for bullish and red for bearish.
- Confluence Meter and Areas: The confluence meter, displayed on the right, shows alignment between the oscillator and MFI using a gradient from red (bearish) to blue (bullish). Shaded areas at ±55 highlight strong bullish or bearish confluence when both indicators align.
- Signal and Divergence Labels: Labels are plotted on the candlestick chart when the oscillator crosses key levels (±20, ±40) or when money flow conditions are met (e.g., MFI crossing 0 or ±20/±40). Users can toggle label visibility and adjust sizes (Small, Normal, Large, Huge).
- Trend and Control Table: A table displays the trend (based on oscillator SMA) and control (based on MFI direction), with customizable position (default: Top Right), text color, and background color. Sensitivity for trend and control calculations can be adjusted.
- k-NN Prediction: The k-NN algorithm predicts price movement direction by comparing current RSI values (5-period and 20-period WMAs) to historical data. The number of neighbors (default: 200) and trend length (default: 20) control prediction sensitivity. A green line shows the prediction, with gradient fills indicating overbought (lime) and oversold (red) zones.
- Gradient Fills and Alerts: Gradient fills highlight the prediction's position relative to overbought/oversold zones, calculated using a 2000-period lookback and standard deviation. Alerts are triggered for crossovers/crossunders of the prediction line with its WMA, overbought/oversold levels, or the zero line.
Usage Instructions
1. Add the Sniper-2025 indicator to your TradingView chart.
2. Interpret signals:
- Z-Buy/Z-V-Buy (green labels): Potential buy signals when the oscillator crosses below -20/-40.
- Z-Sell/Z-V-Sell (red labels): Potential sell signals when the oscillator crosses above 20/40.
- C-Buy/C-Sell (green/red labels): Money flow shifts to bullish/bearish when MFI crosses 0.
- T-Buy/T-Sell (green/red labels): Money flow crosses ±20, indicating stronger trends.
- T-V-Buy/T-V-Sell (green/red labels): Money flow crosses ±40, indicating very strong trends.
- Divergence Labels: Green (D-Bullish) or red (D-Bearish) labels indicate potential reversals.
- Reversal Signals: Blue triangles/circles for bullish reversals, red for bearish.
- Confluence Meter: Blue (bullish) or red (bearish) gradient indicates alignment strength.
- Table: Check "Trend" and "Control" for market direction (🟩/🟥 for trend, 🟢/🔴 for control).
- k-NN Prediction: Green line above 0 suggests bullish momentum; below 0 suggests bearish. Watch for crossovers with the WMA or overbought/oversold zones.
3. Set alerts for crossovers/crossunders of the prediction line, oscillator, or MFI to automate trading signals.
Customization Options
- Hyper Wave: Adjust Main Length (mL, default: 15) for oscillator sensitivity, Signal Type (sT, SMA/EMA), and Signal Length (sLHW, default: 3). Customize colors and transparency.
- Smart Money Flow: Set Money Flow Length (mfL, default: 10) and Smooth (mfS, default: 6) for MFI sensitivity. Choose bullish/bearish colors.
- Divergence: Modify Divergence Sensibility (dvT, default: 20) for short-term (lower) or long-term (higher) divergences. Toggle visibility and price display on labels.
- Reversal: Adjust Reversal Factor (rsF, default: 4) for signal strength (higher = fewer, stronger signals). Set colors for bullish/bearish signals.
- Confluence: Toggle Confluence Meter (sCNF) and Areas (sCNB), and customize colors.
- Labels: Enable/disable specific signal labels (e.g., showZBuy, showHSell) and adjust Label Size (default: Normal).
- Table: Toggle Trend and Control display, adjust sensitivities, and set position and colors.
- k-NN Prediction: Adjust Prediction Data (numNeighbors, default: 200) for sensitivity and Trend Length (momentumWindow, default: 20) for responsiveness.
Conclusion
The Sniper-2025 indicator is a powerful tool for traders seeking a comprehensive analysis of price momentum, money flow, divergences, reversals, and predictive signals. Its customizable settings and clear visualizations make it suitable for both novice and experienced traders. Use the indicator to identify high-probability trading opportunities, monitor market trends, and refine strategies with its machine learning-driven predictions.
SMT - Squeeze Momentum Trend📊 Squeeze Momentum Trend
An indicator that combines volatility, momentum, and trend to anticipate the market’s strongest moves. 🚀
✅ Squeeze → when Bollinger Bands tighten inside the Keltner Channel: the market is in compression, ready to “explode”.
✅ Momentum → shows direction and strength (green = bullish push, red = bearish push).
✅ Trend Filter → confirms direction using a higher timeframe EMA (to avoid false signals).
💡 In practice:
🔥 If price breaks out of a squeeze with positive momentum → potential long breakout.
❄️ If it breaks out with negative momentum → potential short breakout.
📌 Perfect for spotting key moments when the market stops “resting” and makes its next big move.
SMA+MACD+RSI+Stoch Entry📌 Tools Used:
• SMA 21, SMA 50, SMA 200
• MACD (12, 26, 9)
• Pivot Point Standard
• RSI (length 75)
• Stochastic (14, 3, 3)
Trading Timeframe:
• Usable on all timeframes
Chart Preparation:
• Analyze the overall market trend and the instrument being traded
• Set an appropriate timeframe according to the market
• Apply SMA 21, SMA 50, SMA 200
• Apply MACD and Pivot Point Standard
• Ensure a proper market trend by checking the position of SMA 21, SMA 50, and SMA 200 relative to each other
If there are too many crossings between SMA 21, SMA 50, and SMA 200, do not enter any trades until the market trend stabilizes
Conditions for Entering a Long Trade (Bullish Trigger):
• Candle closes above the pivot line
• Confirm an uptrend by checking that SMA 21 is above SMA 50, and SMA 50 is above SMA 200
• RSI is above the midpoint
• Presence of a suitable corrective step with normal slope, considering the strength of the previous step
• MACD histogram indicates bullish momentum
• Stochastic shows a bullish crossover from below
Conditions for Entering a Short Trade (Bearish Trigger):
• Candle closes below the pivot line
• Confirm a downtrend by checking that SMA 21 is below SMA 50, and SMA 50 is below SMA 200
• RSI is below the midpoint
• Presence of a suitable corrective step with normal slope, considering the strength of the previous step
• MACD histogram indicates bearish momentum
• Stochastic shows a bearish crossover from above
ETH Valuation Indicator╔═══════════════════════ RUBIXCUBE ════════════════════════════╗
This indicator combines multiple on-chain and market-based metrics into a single valuation score for Ethereum. It highlights periods of relative undervaluation (green zones) and overvaluation (red zones) by normalising several metrics into a 0–1 range and averaging them.
Price chart signals (top panel): Green arrows mark points where the indicator flagged historically attractive buying opportunities.
Valuation oscillator (bottom panel): Shows the combined score over time, cycling between undervalued and overvalued extremes.
Metric breakdown (side panel): Displays the contribution of each metric, their rate of change, and their current score.
This tool is designed for macro insight, not short-term trading. It helps contextualise Ethereum’s position in the market cycle and provides a data-driven framework for long-term investors.
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