Volume LevelFirst and only, volume is given a level and identified as bullish or bearish.
Level A means very strong
Level B means strong
Level C means neutral
Level D means weak
Level E means very weak
볼래틸리티
Frequency AnalyzerThis indicator is called a frequency analyzer to detect whale activity. It works to detect exploding candles, before they explode.
This indicator is called Frequency Analyzer, to analyze the movement of big money in the stock market. But this indicator cannot be on the Tradingview platform, you know why, because in tradingview there is no indicator called frequency, because buy and sell transactions can only be found in securities that are directly connected to the exchange. That's why we don't find the frequency indicator on the Tradingview platform. After several attempts, I finally found the right formula to define frequency in the tradingview pine editor, and I have also released the frequency indicator in my script. That was the beginning that then developed it and made this indicator "Frequency Analyzer."
What is its use, this indicator is useful for detecting large transactions made by whales. But we don't know, it's a buy or sell transaction. The indicator only describes large transactions made by whales. Of course this has an impact on whether the candle after that occurs a rally or a drop. Therefore, I describe in the "Frequency Analyzer" indicator script because the idea of this formula by Dean Earwicker.
That this is useful for detecting exploding candles before exploding, to detect super bullish before bullish.If the candle is in the support position and there is the highest bar, that is big buying by whales and of course the exploding candle becomes a rally. Conversely, if the candle position is in the resistance and there is the highest bar, that is big selling by whale then of course the candle becomes a drop. So this is an indicator to detect exploding candles before they explode, the candles become super rally or super drop.
It is also important that you look at the trend direction, whether it is downtrend, sideways, or uptrend. If you want to be safer, I suggest pressing long after breakout resistance, or pressing short after breakdown support.
Fibonacci Levels with MACD ConfirmationHow to Understand and Use the Fibonacci Levels with MACD Confirmation Script
This custom Pine Script is designed to give traders a clear visual framework by combining dynamic Fibonacci retracement levels, MACD histogram confirmation, and volatility-based swing zones. It aims to simplify trend analysis, improve entry timing, and adapt to various market conditions.
How to Interpret the 23.6% & 61.8% Labels
These Fibonacci levels represent key retracement zones where price often reacts during trend pullbacks or reversals.
The 23.6% level indicates a shallow retracement, useful in strong trends where price resumes early.
The 61.8% level is a deeper retracement, often a "last line of defense" before trend invalidation.
The script labels these zones with "CC 23.6" and "CC 61.8" when the price crosses them with MACD histogram confirmation:
Green label (CC) = bullish confirmation
Red label (CC) = bearish confirmation
How to Modify Inputs (Manual Adjustments)
Input Purpose Default How to Use
ATR Period Measures volatility 14 Increase for smoother, slower reactions; reduce for faster swings
Min Lookback Minimum bars for swing zone 20 Avoids short-term noise
Max Lookback Cap for swing zone scan 100 Avoids excessively wide retracement levels
Inverse Candle Chart Flips high/low logic false Enable for inverted analysis or backtesting "opposite logic"
How to Use the Inverse Candle Chart Option
Activating inverse mode flips candle logic:
Highs become negative lows, and vice versa.
Useful for:
Contrarian analysis
Inverse ETFs or short-biased views
Backtesting reverse-pattern behavior
How to Adjust the Style
You can manually personalize the script’s visual appearance:
Change line width in plot(..., linewidth=2) for bolder or thinner Fib levels.
Change colors from color.green, color.red, etc., to suit your theme.
Modify label.size, label.style, and label.color for different labeling visuals.
Customize MACD histogram style from plot.style_columns to other styles like style_histogram.
How the MACD is Set and Displayed
The MACD uses non-standard values:
Fast Length = 24
Slow Length = 52
Signal Smoothing = 18
These values slow down the indicator, reducing noise and aligning better with medium- to long-term trends.
MACD histogram is plotted directly on the main chart for faster, on-screen decision making.
Color-coded histogram:
Green/Lime = Bullish momentum increasing or steady
Red/Maroon = Bearish momentum increasing or steady
How to Use the Indicator in Real-World Trading
This indicator is most effective when used to:
✅ 1. Spot High-Probability Trend Continuation Zones
In a strong trend, price will often retrace to 23.6% or 61.8%, then resume.
Wait for:
Price to cross 23.6 or 61.8
MACD histogram rising (bullish) or falling (bearish)
"CC 23.6" or "CC 61.8" label to appear
🟢 Entry Example: Price retraces to Fib 61.8%, crosses up with green MACD histogram → take long position
✅ 2. Validate Reversal or Breakout Zones
These Fib levels also act as support/resistance.
If price crosses a Fib level but MACD fails to confirm, it may be a fake breakout.
Use confirmation labels only when MACD aligns.
✅ 3. Add Volatility Context (ATR) for Risk Management
The ATR label shows both value and %.
Use ATR to:
Set dynamic stop-losses (e.g., 1.5x ATR below entry)
Decide trade size based on volatility
How to Combine the Indicator With Other Tools
You can combine this script with other technical tools for a powerful trading framework:
🔁 With Moving Averages
Use 50/200 MA for overall trend direction
Take signals only in the direction of MA slope
🔄 With Price Action Patterns
Use the Fib/MACD signals at confluence points:
Support/resistance zones
Breakout retests
Candlestick patterns (pin bars, engulfing)
🔺 With Volume or Order Flow
Combine with volume spikes or order book signals
Confirm that Fib/MACD signals align with strong volume for conviction
✅ Trade Setup Summary
Criteria Long Setup Short Setup
Price at Fib Level At or crossing Fib 23.6 / 61.8 Same
MACD Histogram Rising and above previous bar Falling and below previous bar
Label Appears Green "CC 23.6" or "CC 61.8" Red "CC 23.6" or "CC 61.8"
Optional Filters Trend direction, ATR range, volume, price pattern Same
Mean Reversion Indicator + VIX MRI + VIX
A valid and good indicator to give you an analysis of the chart. Could be used for MRI and VIX chart analysis.
PONTE SERIO👊🤨'TALK TO JOEALGO' / Este indicador lo desarrolle para los "PANAS", gente de propósito, ser trillonario y tenerlo todo no es tener lujos, es la paz de saber que hay personas que aman y te estiman, hacer cosas que te apasionan demasiado... WILLY, JOEL, TIMBER, CHRIS... hermanos de verdad! de la ruina al propósito; tenemos la verdadera funda en las palma de nuestras manos.
'TALK TO JOEALGO' / I developed this indicator for the "PANAS", people with a purpose. Being a trillionaire and having it all isn't about luxury, it's about the peace of knowing there are people who love and appreciate you, doing things you're so passionate about... WILLY, JOEL, TIMBER, CHRIS... true brothers! From ruin to purpose; we have the real case in the palm of our hands.
Trend Reader - [JAYADEV RANA]📊 Trend Reader –
🔍 Overview
Trend Reader is a powerful all-in-one multi-tool trend analysis indicator designed for traders who want actionable trend signals, clear trade zones, volatility context, and high-confidence scalping setups — all in one screen.
It combines several key elements such as Supertrend-based signals, multi-timeframe trend dashboard, dynamic RSI heat mapping, and advanced visualization like Order Blocks, Reversal Signals, Smart TP/SL zones, and Channel Breakouts.
⚠️ This tool is built for visual clarity, scalping precision, and swing confluence with high customizability.
BINANCE:BTCUSDT
✅ Key Features
🔹 Smart Buy/Sell Signals
• Built with Supertrend + MA confluence
• Optional “Smart Signals” mode filters for stronger entries
🔹 Multi-Timeframe Trend Dashboard
• ADX-powered MTF trend status from 3-min to Daily
• Includes Volatility and RSI overlays for better context
🔹 Clean RSI-based Candle Coloring
• Color-coded candles with customizable RSI thresholds
• Heatmap overlays showing exhaustion zones (OB/OS)
🔹 EMA Cloud & Ribbon System
• 8-layer EMA Ribbon for identifying momentum zones
• 200 EMA plotted for long-term direction clarity
• Optional EMA150 vs EMA250 Cloud for trend structure
🔹 Order Block Detection (Experimental)
• Auto-plot demand/supply zones from pivot structures
• Tested/faded boxes auto-dim for clarity
• Gray zone cleanup available
🔹 Risk Manager: Entry, SL & TP Zones
• Displays Entry, SL, TP1, TP2, TP3 zones on chart
• Zones auto-adjust with price + can be toggled per trade
• TP logic is driven by dynamic RSI-based reversal setups
🔹 Reversal Signal Overlay
• Highlights RSI overbought/oversold crossovers for exit timing
• Custom reversal sensitivity input
🔹 Channel Breakouts
• Plots dynamic channel highs/lows based on recent pivots
• Excellent for identifying breakout zones
⚙️ Customizable Inputs
Main Settings
• Signal sensitivity, signal type (All vs Smart)
• Trend display options (Ribbon, Cloud, MA, Chaos Line)
Advanced Settings
• CleanScalper, Trend Ribbon, or EMA-based candle coloring
• RSI zones, reversal signal toggles, and dashboard positions
Risk Management Settings
• Adjustable Take Profit multipliers and SL logic
• Optional TP/SL labels and trend-triggered plotting
Order Block Settings
• Demand/supply zone detection options
• Toggle tested/filled zone handling and colors
🧠 How It Works
Signal Logic:
Signals are fired when the price crosses the dynamic Supertrend with confluence from short-term EMAs and position relative to the 200 EMA.
Trend Direction:
Uses crossover of fast/slow EMA and ADX-based analysis to determine strength and direction across timeframes.
Risk Zone Calculation:
Entry, SL, and TP targets are dynamically calculated using ATR and user-defined risk steps.
Reversal & Breakout Highlights:
RSI reversal crossovers and pivot-based breakouts help identify extreme conditions or upcoming momentum bursts.
🔔 Alerts
While alerts are not currently built-in, the structure allows easy implementation of alerts for:
Buy/Sell signals
Trend Direction Change
Reversal Points
Let us know in comments if you want alert-ready version.
🧩 Ideal Use Cases
Scalping: Use 1min/3min chart with Smart Signals and chaos trend for quick in-out trades.
Swing Trading: Use 15min to 1H timeframe with EMA cloud, OB zones, and multi-timeframe dashboard.
Trend Confirmation: Confirm entries using dashboard + trend ribbon + signal direction.
🧠 Tips
Turn off what you don’t need: dashboard, order blocks, chaos lines, or risk zones.
Start with the “Smart Signals” toggle on for clean, filtered entries.
Combine with volume or momentum indicators for best results.
⚠️ Disclaimer
This script is for educational and informational purposes only. Past performance does not guarantee future results. Always backtest before using in live trading. Author is not responsible for any financial decisions made using this tool.
✨ Credits
• Developed with ❤️ by Jayadev Rana (Quant OTC)
• Based on classic Supertrend, RSI, ADX, and EMA Ribbon methodologies
• Enhanced through feedback from traders across India’s active F&O community
👉 If you find this helpful, leave a like ❤️, follow for updates, or request more features in the comments.
Let's make trading smarter, not harder!
PG MA Crossover based Trend StrategyBuy (Long Entry) Logic:
A long trade is triggered when all the following conditions are met:
MA Trend is Rising:
The selected moving average (VWMA/EMA/SMA) is increasing, based on a customizable reversalThreshold.
Price Action Confirms Uptrend:
Current and previous candle closes are both above the MA.
Current close is above the previous high (momentum confirmation).
Price Is Not Overstretched:
Close is within 5% above the MA to avoid chasing.
Time Filter Active:
Trade happens only between 09:45 and 15:15.
Backtest Window:
Entry happens only if the bar’s timestamp falls within the user-defined backtesting period.
Re-Entry Logic (after stop-out):
If price dips below MA after an exit and then comes back above MA, it triggers a re-entry.
🛑 Stop-Loss Logic:
Triggered if price falls below a fixed percentage from the entry price:
Stop Loss % is customizable (default: 1.5%).
Example: Entry at ₹100 → SL triggered if price falls below ₹98.50.
A red label and alert are generated when this happens.
🔄 Trailing Stop Loss Logic:
Activated after entry, tracks the highest price and triggers exit if price falls below a trailing level:
Trailing Stop % is customizable (default: 0.8%).
If the price falls 0.8% below the highest price since entry, it exits the trade.
A purple label and alert are generated on this exit.
💡 Profit Target Exit Logic:
You’ve intentionally removed it, so the trade only exits via:
Fixed stop loss (customizable)
Trailing stop loss (customizable)
PTI 2025: ATR TREND TRACKER
This indicator helps traders follow trends while managing risk using a dynamic trailing stop based on volatility (ATR). It also adds a higher timeframe trend filter to avoid trading against the major trend.
OANDA:XAUUSD
How It Works
1. ATR Trailing Stop (Main Mechanism)
Calculates the Average True Range (ATR) over a long period (default: 250 bars).
Sets a trailing stop level at a multiple (default: 3x) of the ATR.
If price rises, the stop moves up, locking in profits.
If price falls, the stop stays fixed until broken.
The stop flips direction when price crosses it.
2. Higher Timeframe Trend Filter (Extra Confirmation)
Checks if the Daily (or selected HTF) close is above/below a 200-period EMA.
Green background = Uptrend (favor long trades).
Red background = Downtrend (favor short trades).
Optional: Can disable this filter if you want pure ATR signals.
3. Buy & Sell Signals
Buy Signal → Price crosses above the ATR stop + HTF trend is up (if filter is on).
Sell Signal → Price crosses below the ATR stop + HTF trend is down (if filter is on).
4. Visuals & Alerts
Trailing Stop Line (changes color based on trend direction).
Buy/Sell Labels (appear below/above candles).
Alerts (can notify you when signals trigger).
MTFThis is a variation of the denosied MFI ma cross script that allows for reductionist trend following memeing, but taking it to the next level. This combines multiple ma's and finds local bottoms and tops to find the optimum trend to catch and ride along. PM for access.
Apex Predator Algo🔷 Apex Predator Algo – Trend, Volume, and Momentum Fusion Strategy
🔔 Supports WonderTrading, 3Commas, Binance Alerts – with Multi-Exchange Compatibility
📌 Overview
Apex Predator Algo is an advanced trend-following and momentum-based trading strategy designed specifically for crypto markets. It fuses multiple non-repainting components to form a precision trading system with real-time alerts and dashboard analytics.
This script is not just a mashup, but a carefully optimized integration of:
🔹 TEMA (Triple EMA) for adaptive trend filtering
🔹 RMI (Relative Momentum Index) for directional trend confirmation
🔹 Vortex Indicator with dynamic strength & threshold filtering
🔹 ROC + CCI for real-time momentum alignment
🔹 Volume Spike Detection using SMA-based volatility confirmation
🔹 TP1/TP2 take-profit logic
🔹 Trend Weakness Detection for early exits
🔹 Integrated Bot-Ready Multi-Exchange Alerting System
🔹 Fully responsive performance dashboard (TP Hits, Win Rate, PnL Metrics)
⚙️ Core Components Explained
1. Trend Engine (TEMA + RMI Combo)
TEMA (Triple EMA) is used to identify fast-reacting trend direction.
RMI, a momentum-weighted version of RSI, provides confirmation of trend continuation vs. reversal, ensuring entries are taken with trend.
2. Momentum & Strength Filters
Rate of Change (ROC) and CCI validate trade timing.
This ensures entries only occur when momentum is increasing in the direction of the trend.
3. Vortex Trend Strength + Slope
The Vortex system detects trend strength by comparing +VI and -VI flows.
A threshold ensures only meaningful breakouts trigger trades.
(Optional: Can include Vortex slope filter for even more precision.)
4. Volume Spike Confirmation
Prevents false breakouts by ensuring volume is above a dynamically adjusted SMA average.
Acts as a real-time volatility gate to reduce drawdowns.
5. Take-Profit System (TP1/TP2)
TP1 closes 50% of position.
TP2 closes 100% – fully exits the trade.
Avoids dependency on stop-losses, while allowing scaling out profitably.
6. Early Exit Logic
Exits trades on trend weakening before reversal – reducing drawdowns.
Ensures all entries/exits are clean: no same-bar reversal allowed.
📊 Real-Time Dashboard
The script includes a customizable floating dashboard showing:
Current position (Long, Short, Flat)
Entry price
TP1 and TP2 status
Bars held since entry
Live win rate (%)
Profit Factor
Dashboard can be:
Toggled on/off
Repositioned (Top Right, Bottom Left, etc.)
Resized (Tiny to Huge text)
🔔 Alert System (Bot Ready)
Alerts fire once per bar close, and include:
ENTER-LONG
ENTER-SHORT
EXIT-LONG
EXIT-SHORT
All alert messages are editable for use with:
✅ WonderTrading
✅ 3Commas
✅ Binance Auto-trading bots
✅ Any webhook-supported trading platform
✅ 📣 How to Use
Apply to any 1H crypto chart (AVAX/USDT, BTC/USDT, etc.)
Enable alerts using the provided alert() messages
Monitor the real-time dashboard to track performance
Customize dashboard, thresholds, and TP levels as needed
⚠️ TradingView Publishing Disclaimer
Disclaimer: This strategy is for educational purposes only and does not constitute financial advice. Trading involves substantial risk and is not suitable for every investor. Past performance is not indicative of future results. Use at your own risk.
✅ Originality Justification (for PineCoders)
The script combines non-repainting versions of TEMA, RMI, CCI, Vortex, and Volume filters.
Each component plays a distinct role in trend validation, entry precision, and exit optimization.
It integrates a multi-level profit-taking system, an adaptive exit engine, and a bot-compatible alert structure, which makes this more than a mashup — it's a complete system designed for real-time crypto automation.
The inclusion of a fully featured dashboard adds transparency and real-time trade statistics, making this highly useful for live trading and backtesting performance optimization.
GREG NAS KILLER SIGNALShis Pine Script indicator, titled "GREG NAS KILLER SIGNALS," is designed to generate trading signals based on a combination of SuperTrend, Moving Averages (SMAs), and RSI-based candle coloring. It provides entry signals, trend confirmation, and risk management tools to assist traders in identifying potential buy and sell opportunities.
Key Features:
1. Signal Generation
Uses a modified SuperTrend indicator with adjustable sensitivity.
Confirms signals with 8-period and 9-period SMAs for additional trend strength validation.
Generates "Buy" / "Strong Buy" and "Sell" / "Strong Sell" labels based on trend conditions.
2. Trend Visualization
Trend Ribbon Cloud (optional) using 21-period and 34-period SMAs:
Green cloud indicates bullish momentum (21 SMA > 34 SMA).
Red cloud indicates bearish momentum (21 SMA < 34 SMA).
3. RSI-Based Candle Coloring
Custom RSI-based color gradient (from red to green) to visualize RSI strength:
Extreme red (RSI ≤ 20) → Oversold conditions.
Extreme green (RSI ≥ 59) → Overbought conditions.
Smooth gradient transition helps traders gauge momentum shifts.
4. Risk Management Tools
Take-Profit (TP) & Stop-Loss (SL) Levels (optional):
1:1, 2:1, and 3:1 Risk-Reward Ratios displayed as labels/lines.
ATR-based Stop Loss (adjustable length and risk %).
Customizable line styles (solid, dashed, dotted).
5. Alerts
Built-in alert conditions for Buy & Sell signals.
Input Settings:
Category Parameters
Sensitivity Adjusts SuperTrend responsiveness (1-20).
Trend Ribbon Toggles the SMA cloud overlay.
Risk Management - Show TP/SL levels
- ATR-based stop distance
- Line style customization
RSI Length Default 14-period RSI.
How It Works:
Buy Signal (Bullish):
Triggered when:
Price crosses above SuperTrend.
Confirmed by price above 13-period SMA.
Stronger confirmation if 8 SMA ≥ 9 SMA ("Strong Buy").
Plots a green "Buy" label near recent lows.
Sell Signal (Bearish):
Triggered when:
Price crosses below SuperTrend.
Confirmed by price below 13-period SMA.
Stronger confirmation if 8 SMA ≤ 9 SMA ("Strong Sell").
Plots a red "Sell" label near recent highs.
Risk Management:
Stop Loss (SL) = ATR-based distance from entry.
Take Profit (TP) = Multiples of risk (1:1, 2:1, 3:1).
Usage Recommendations:
Best suited for swing trading & trend-following strategies.
Combine with volume analysis & higher timeframe confirmation for better accuracy.
Adjust sensitivity based on market volatility (higher values = fewer signals, lower values = more signals).
Conclusion:
This indicator combines trend-following (SuperTrend + SMAs), momentum (RSI coloring), and risk management into a single tool. It helps traders identify high-probability entries while managing risk effectively.
XAUUSD IST SessionsThe script is designed to highlight specific time zones on your chart based on Indian Standard Time (IST):
✅ Morning session: 5:30 AM to 7:30 AM IST
✅ Evening session: 7:00 PM to 9:00 PM IST
Since TradingView scripts work on UTC (Coordinated Universal Time), we convert IST to UTC first.
📦 Breakdown of the Code:
🟦 indicator("XAUUSD IST Sessions", overlay=true)
This line tells TradingView to create a custom indicator and draw it on the price chart (overlay=true).
Pro Manipulation Detector [Serhio]This strategy detects potential market manipulation by identifying abnormal wick formations combined with volume spikes. It uses multiple filters to confirm valid entries.
Core Concept
Looks for long lower wicks (bullish reversal) and long upper wicks (bearish reversal) with volume spikes.
Requires wicks to be 2.5x larger than the candle body and volume 1.8x above average.
Optional Filters
Trend Filter (EMA 50) – Price must be above EMA for longs, below for shorts.
EMA Slope Filter – Confirms trend strength (rising EMA for longs, falling for shorts).
RSI Filter – Avoids overbought/oversold conditions (RSI > 45 for longs, RSI < 55 for shorts).
Trade Execution
Long Entry: Long lower wick + volume spike + bullish filters.
Short Entry: Long upper wick + volume spike + bearish filters.
Cooldown: Prevents repeated signals within 5 bars.
Visualization
Plots EMA trendline and slope EMA.
Marks entry signals with triangles (green for long, red for short).
This strategy aims to catch stop hunts and liquidity grabs while filtering out weak setups.
AI Liquidity Master[Serhio]This strategy combines smart money concepts, volume analysis, and trend confirmation to trade liquidity grabs with controlled risk.
Enhanced [Serhio]This strategy combines trend, volume, volatility, and momentum filters for high-probability entries with a favorable risk-reward ratio.
Trend Filter: Uses EMA(50) > EMA(200) for trend direction.
Liquidity Zones: Confirms with VWAP(20) (price above/below for trend bias).
Volume Confirmation: OBV (10-period SMA > 50-period SMA) validates trend strength.
Volatility Filter: ATR(14) must be above its 50-period SMA to avoid low-volatility trades.
RSI Filter: Avoids overbought (RSI > 65) and oversold (RSI < 35) zones.
Entry Conditions
Long:
Price crosses above EMA(50).
Uptrend (EMA(50) > EMA(200), price > VWAP, OBV bullish).
RSI < 65.
ATR confirms volatility.
Short:
Price crosses below EMA(50).
Downtrend (EMA(50) < EMA(200), price < VWAP, OBV bearish).
RSI > 35.
ATR confirms volatility.
Risk Management
Stop-Loss: ATR-based (1.2x ATR).
Take-Profit: 3x ATR (Risk-Reward = 1:3).
Visualization
Plots EMA(50) , EMA(200) , and VWAP(20) .
Smart Money Strategy [Trend Confirmed]Smart Money Strategy
Timeframes: Uses a higher (HTF) and lower (LTF) timeframe for trend confirmation.
Trend Confirmation: Requires price above/below EMA(50) on both HTF and LTF.
Entry Signals: Combines BOS (Break of Structure), CHoCH (Change of Character), and FVG (Fair Value Gap) for entries.
Risk Management: Uses swing highs/lows for stop-loss and a fixed risk-reward ratio (RR) for take-profit.
Trading Rules:
Long entries when trend is up and any signal (BOS/CHoCH/FVG) triggers.
Short entries when trend is down and any signal triggers.
Visualization: Plots EMA(50) for both HTF (blue) and LTF (orange).
The strategy executes 100% of equity per trade with adjustable RR and stop methods.
Long and Short by volume, adx and dmi Jav What does the “Long and Short by Volume, ADX and DMI – Jav” script do?
This is a multi-functional institutional-grade trading tool that combines Smart Money Concepts (SMC), volume anomalies, structure, and momentum into one script. Below is the full explanation:
⸻
🟢 1. Entry Signals: Long & Short
The indicator generates Long and Short entries based on:
• Volume anomalies (spikes in volume)
• Reversal and Continuation logic using:
• ADX and DMI (DI+ / DI-)
• Local trend based on EMA50 vs EMA200
• Customizable entry logic modes:
• One active at a time
• One per direction (Long/Short)
• All that meet conditions
Visual markers show:
• ☕ Long Entry
• ☕ Short Entry
⸻
⚡ 2. Aggressive Smart Money Entries (ChoCH + Mitigation)
Includes advanced Smart Money Concepts:
• ChoCH (Change of Character) detection
• Volume anomaly + ADX confirmation
• Mitigation zones
• Optional RSI-based reaction check
Visual markers:
• ⚡ Aggressive Long
• ⚡ Aggressive Short
⸻
📊 3. Smart Volume Filtering
Volume filters include:
• Detection of abnormal volume
• Option to compare against volume moving average
• Hardcoded minimum volume thresholds per asset and timeframe (BTC / ETH)
📊 Symbol appears when abnormal volume is detected.
⸻
🔁 4. Risk Management & Trailing Stop Logic
Includes:
• ATR-based SL/TP
• Trailing Stop Loss (TSL) with custom multiplier
• Configurable SL % limit
• TSL activates only after a % gain
Handles:
• Exit type: SL, TP, or TSL
• All data is stored and managed per position
⸻
🧱 5. Market Structure Detection (HH, LL, HL, LH)
Automatically detects and draws market structure swings:
• HH = Higher High
• LL = Lower Low
• HL = Higher Low
• LH = Lower High
Each label:
• Is offset from price
• Uses customizable color and text size
⸻
⛔ 6. Volume-Based Entry Blocking System
Prevents entries when volume is dangerously high.
Includes:
• Blocking logic by timeframe and asset
• Timeout countdown to prevent premature entries
• ⛔ Labels showing blocked bars
• Start/End labels for visual tracking
⸻
🧭 7. Multi-Timeframe Trend Table
On-chart table that shows EMA-based trend for:
• 15m
• 1H
• 4H
• Daily
Also paints the chart background based on 4H trend.
⸻
📐 8. Daily and Weekly Fibonacci Levels
Automatically draws Fibonacci levels:
• Daily: based on previous day’s range
• Weekly: based on previous week’s range
You can:
• Enable/disable each level
• Customize colors and labels
• Adjust font size and direction
⸻
📈 9. Custom EMAs (1–4)
Up to 4 moving averages, fully customizable:
• EMA or SMA
• Select which timeframes they display on (5m, 15m, 1H, etc.)
• Independent colors and periods
⸻
📉 10. VWAP (Session and Weekly)
• Session VWAP and Weekly VWAP plotted
• Dynamic labels that change color depending on price position
• Custom styling and visibility per timeframe
⸻
🔔 11. Built-in Alerts
It includes:
• Entry alerts per asset and timeframe
• Exit alerts (SL, TP, TSL)
• Aggressive entry alerts (⚡ ChoCH + Mitigation)
Compatible with TradingView alert system and can be used for bots or automation.
⸻
⚙️ Technical Extras
• All sections can be toggled on/off
• Auto adapts based on asset (ETH or BTC)
• Full multi-timeframe support
• Custom time-based filters and conditional execution
⸻
✅ Summary
This indicator combines:
✔️ Volume
✔️ Structure
✔️ Smart Money Logic
✔️ Risk Management
✔️ Visual Clarity
✔️ Institutional Tools
Perfect for:
• Scalping
• Intraday trading
• Breakout + mitigation strategies
• Avoiding traps with real volume-based filters
거미줄 자동매매 250227Okay, let's break down this TradingView Pine Script code, '거미줄 자동매매 250227' (Spiderweb Auto-Trading 250227).
This script implements a grid trading strategy for long positions in the USDT market. The core idea is to place a series of buy limit orders at progressively lower prices below an initial entry point, aiming to lower the average entry price as the price drops. It then aims to exit the entire position when the price rises a certain percentage above the average entry price.
Here's a detailed breakdown:
1. Strategy Setup (`strategy` function):
`'거미줄 자동매매 250227'`: The name of the strategy.
`overlay = true`: Draws plots and labels directly on the main price chart.
`pyramiding = 15`: Allows up to 15 entries in the same direction (long). This is essential for grid trading, as it needs to open multiple buy orders.
`initial_capital = 600`: Sets the starting capital for backtesting to 600 USDT.
`currency = currency.USDT`: Specifies the account currency as USDT.
`margin_long/short = 0`: Doesn't define specific margin requirements (might imply spot trading logic or rely on exchange defaults if used live).
`calc_on_order_fills = false`: Strategy calculations happen on each bar's close, not just when orders fill.
2. Inputs (`input`):
Core Settings:
`lev`: Leverage (default 10x). Used to calculate position sizes.
`per1`: Percentage of total capital to allocate to the initial grid (default 80%).
`per2`: Percentage of the *remaining* capital (100 - `per1`) to use for the "semifinal" entry (default 50%). The rest goes to the "final" entry.
`len`: Lookback period (default 4 bars) to determine the initial `maxPrice`.
`range1`: The total percentage range downwards from `maxPrice` where the grid orders will be placed (default -10%, meaning 10% down).
`tp`: Take profit percentage above the average entry price (default 0.45%).
`semifinal`: Percentage drop from `maxPrice` to trigger the "semifinal" larger entry (default 12%).
`final`: Percentage drop from `maxPrice` to trigger the "final" larger entry (default 15%).
Trading Mechanics:
`trail`: Boolean (true/false) to enable an ATR-based trailing stop only if just the first grid order ("Buy 1") has filled (default true).
`atrPeriod`, `atrMult`: Settings for the ATR calculation if `trail` is true.
Rounding & Display:
`roundprice`, `round`: Decimal places for rounding price and quantity calculations.
`texts`, `label_style`: User interface preferences for text size and label appearance on the chart.
Time Filter:
`startTime`, `endTime`: Defines the date range for the backtest.
3. Calculations & Grid Setup:
`maxPrice`: The highest price point for the grid setup. Calculated as the lowest low of the previous `len` bars only if no trades are open . If trades are open, it uses the entry price of the very first order placed in the current sequence (`strategy.opentrades.entry_price(0)`).
`minPrice`: The lowest price point for the grid, calculated based on `maxPrice` and `range1`.
`totalCapital`: The amount of capital (considering leverage and `per1`) allocated for the main grid orders.
`coinRatios`: An array ` `. This defines the *relative* size ratio for each of the 11 grid orders. Later orders (at lower prices) will be progressively larger.
`totalRatio`: The sum of all ratios (66).
`positionSizes`: An array calculated based on `totalCapital` and `coinRatios`. It determines the actual quantity (size) for each of the 11 grid orders.
4. Order Placement Logic (`strategy.entry`):
Initial Grid Orders:
Runs only if within the specified time range and no position is currently open (`strategy.opentrades == 0`).
A loop places 11 limit buy orders (`Buy 1` to `Buy 11`).
Prices are calculated linearly between `maxPrice` and `minPrice`.
Order sizes are taken from the `positionSizes` array.
Semifinal & Final Entries:
Two additional, larger limit buy orders are placed simultaneously with the grid orders:
`semifinal entry`: At `maxPrice * (1 - semifinal / 100)`. Size is based on `per2`% of the capital *not* used by the main grid (`1 - per1`).
`final entry`: At `maxPrice * (1 - final / 100)`. Size is based on the remaining capital (`1 - per2`% of the unused portion).
5. Visualization (`line.new`, `label.new`, `plot`, `plotshape`, `plotchar`):
Grid Lines & Labels:
When a position is open (`strategy.opentrades > 0`), horizontal lines and labels are drawn for each of the 11 grid order prices and the "final" entry price.
Lines extend from the bar where the *first* entry occurred.
Labels show the price and planned size for each level.
Dynamic Coloring: If the price drops below a grid level, the corresponding line turns green, and the label color changes, visually indicating that the level has been reached or filled.
Plotted Lines:
`maxPrice` (initial high point for the grid).
`strategy.position_avg_price` (current average entry price of the open position, shown in red).
Target Profit Price (`strategy.position_avg_price * (1 + tp / 100)`, shown in green).
Markers:
A flag marks the `startTime`.
A rocket icon (`🚀`) appears below the bar where the `final entry` triggers.
A stop icon (`🛑`) appears below the bar where the `semifinal entry` triggers.
6. Exit Logic (`strategy.exit`, `strategy.entry` with `qty=0`):
Main Take Profit (`Full Exit`):
Uses `strategy.entry('Full Exit', strategy.short, qty = 0, limit = target2)`. This places a limit order to close the entire position (`qty=0`) at the calculated take profit level (`target2 = avgPrice * (1 + tp / 100)`). Note: Using `strategy.entry` with `strategy.short` and `qty=0` is a way to close a long position, though `strategy.exit` is often clearer. This exit seems intended to apply whenever any part of the grid position is open.
First Order Trailing Stop (`1st order Full Exit`):
Conditional : Only active if `trail` input is true AND the *last* order filled was "Buy 1" (meaning only the very first grid level was entered).
Uses `strategy.exit` with `trail_points` and `trail_offset` based on ATR values to implement a trailing stop loss/profit mechanism for this specific scenario.
This trailing stop order is cancelled (`strategy.cancel`) if any subsequent grid orders ("Buy 2", etc.) are filled.
Final/Semifinal Take Profit (`final Full Exit`):
Conditional : Only active if more than 11 entries have occurred (meaning either the "semifinal" or "final" entry must have triggered).
Uses `strategy.exit` to place a limit order to close the entire position at the take profit level (`target3 = avgPrice * (1 + tp / 100)`).
7. Information Display (Tables & UI Label):
`statsTable` (Top Right):
A comprehensive table displaying grouped information:
Market Info (Entry Point, Current Price)
Position Info (Avg Price, Target Price, Unrealized PNL $, Unrealized PNL %, Position Size, Position Value)
Strategy Performance (Realized PNL $, Realized PNL %, Initial/Total Balance, MDD, APY, Daily Profit %)
Trade Statistics (Trade Count, Wins/Losses, Win Rate, Cumulative Profit)
`buyAvgTable` (Bottom Left):
* Shows the *theoretical* entry price and average position price if trades were filled sequentially up to each `buy` level (buy1 to buy10). It uses hardcoded percentage drops (`buyper`, `avgper`) based on the initial `maxPrice` and `coinRatios`, not the dynamically changing actual average price.
`uiLabel` (Floating Label on Last Bar):
Updates only on the most recent bar (`barstate.islast`).
Provides real-time context when a position is open: Size, Avg Price, Current Price, Open PNL ($ and %), estimated % drop needed for the *next* theoretical buy (based on `ui_gridStep` input), % rise needed to hit TP, and estimated USDT profit at TP.
Shows "No Position" and basic balance/trade info otherwise.
In Summary:
This is a sophisticated long-only grid trading strategy. It aims to:
1. Define an entry range based on recent lows (`maxPrice`).
2. Place 11 scaled-in limit buy orders within a percentage range below `maxPrice`.
3. Place two additional, larger buy orders at deeper percentage drops (`semifinal`, `final`).
4. Calculate the average entry price as orders fill.
5. Exit the entire position for a small take profit (`tp`) above the average entry price.
6. Offer a conditional ATR trailing stop if only the first order fills.
7. Provide extensive visual feedback through lines, labels, icons, and detailed information tables/UI elements.
Keep in mind that grid strategies can perform well in ranging or slowly trending markets but can incur significant drawdowns if the price trends strongly against the position without sufficient retracements to hit the take profit. The leverage (`lev`) input significantly amplifies both potential profits and losses.
PLUSEBOARD – ORDER BOOK Ax (Delta Edition)PLUSEBOARD – ORDER BOOK **Ax** (Delta Edition)
**Timeframe: 1m / 5m / 10m / 15m / 30m**
This is the **lower timeframe version** of the PLUSEBOARD ORDER BOOK, built for scalpers and short-term intraday traders. It delivers **real-time volume pressure data** in a clean, responsive table format — ideal for spotting fast market shifts early.
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🎯 Key Features:
Displays confluence across 5 lower timeframes using:
• CMF – Chaikin Money Flow
• OBV – On-Balance Volume
• VWMA – Volume-Weighted Moving Average
• MFI – Money Flow Index
• A/D Line – Accumulation/Distribution
• VOL SPIKE – Instant volume burst
• DELTA – Volume flow difference
• DOM (🔴/🟢) – Market domination signal
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⚡ Special Highlights:
• ⚡ = Real-time volume spike
• 🟢 / 🔴 / ⚪ = Delta direction change
• DOM = Summary of buy/sell pressure across volume indicators
• 1m Delta Alert = Warning when delta reverses direction
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👤 Recommended For:
• Scalpers needing multi-TF volume confirmation
• Intraday traders relying on volume-based setups
• Mobile users wanting a lightweight, fast dashboard
📌 NOTE:
This is the **Ax version**, focused on **lower timeframes (1m–30m)**.
Use **Bx version** for higher timeframes (45m–1D) if you're trading swing or longer setups.
Aurora Flow Oscillator [QuantAlgo]The Aurora Flow Oscillator is an advanced momentum-based technical indicator designed to identify market direction, momentum shifts, and potential reversal zones using adaptive filtering techniques. It visualizes price momentum through a dynamic oscillator that quantifies trend strength and direction, helping traders and investors recognize momentum shifts and trading opportunities across various timeframes and asset class.
🟢 Technical Foundation
The Aurora Flow Oscillator employs a sophisticated mathematical approach with adaptive momentum filtering to analyze market conditions, including:
Price-Based Momentum Calculation: Calculates logarithmic price changes to measure the rate and magnitude of market movement
Adaptive Momentum Filtering: Applies an advanced filtering algorithm to smooth momentum calculations while preserving important signals
Acceleration Analysis: Incorporates momentum acceleration to identify shifts in market direction before they become obvious
Signal Normalization: Automatically scales the oscillator output to a range between -100 and 100 for consistent interpretation across different market conditions
The indicator processes price data through multiple filtering stages, applying mathematical principles including exponential smoothing with adaptive coefficients. This creates an oscillator that dynamically adjusts to market volatility while maintaining responsiveness to genuine trend changes.
🟢 Key Features & Signals
1. Momentum Flow and Extreme Zone Identification
The oscillator presents market momentum through an intuitive visual display that clearly indicates both direction and strength:
Above Zero: Indicates positive momentum and potential bullish conditions
Below Zero: Indicates negative momentum and potential bearish conditions
Slope Direction: The angle and direction of the oscillator provide immediate insight into momentum strength
Zero Line Crossings: Signal potential trend changes and new directional momentum
The indicator also identifies potential overbought and oversold market conditions through extreme zone markings:
Upper Zone (>50): Indicates strong bullish momentum that may be approaching exhaustion
Lower Zone (<-50): Indicates strong bearish momentum that may be approaching exhaustion
Extreme Boundaries (±95): Mark potentially unsustainable momentum levels where reversals become increasingly likely
These zones are displayed with gradient intensity that increases as the oscillator moves toward extremes, helping traders and investors:
→ Identify potential reversal zones
→ Determine appropriate entry and exit points
→ Gauge overall market sentiment strength
2. Customizable Trading Style Presets
The Aurora Flow Oscillator offers pre-configured settings for different trading approaches:
Default (80,150): Balanced configuration suitable for most trading and investing situations.
Scalping (5,80): Highly responsive settings for ultra-short-term trades. Generates frequent signals and catches quick price movements. Best for 1-15min charts when making many trades per day.
Day Trading (8,120): Optimized for intraday movements with faster response than default settings while maintaining reasonable signal quality. Ideal for 5-60min or 4h-12h timeframes.
Swing Trading (10,200): Designed for multi-day positions with stronger noise filtering. Focuses on capturing larger price swings while avoiding minor fluctuations. Works best on 1-4h and daily charts.
Position Trading (14,250): For longer-term position traders/investors seeking significant market trends. Reduces false signals by heavily filtering market noise. Ideal for daily or even weekly charts.
Trend Following (16,300): Maximum smoothing that prioritizes established directional movements over short-term fluctuations. Best used on daily and weekly charts, but can also be used for lower timeframe trading.
Countertrend (7,100): Tuned to detect potential reversals and exhaustion points in trends. More sensitive to momentum shifts than other presets. Effective on 15min-4h charts, as well as daily and weekly charts.
Each preset automatically adjusts internal parameters for optimal performance in the selected trading context, providing flexibility across different market approaches without requiring complex manual configuration.
🟢 Practical Usage Tips
1/ Trend Analysis and Interpretation
→ Direction Assessment: Evaluate the oscillator's position relative to zero to determine underlying momentum bias
→ Momentum Strength: Measure the oscillator's distance from zero within the -100 to +100 range to quantify momentum magnitude
→ Trend Consistency: Monitor the oscillator's path for sustained directional movement without frequent zero-line crossings
→ Reversal Detection: Watch for oscillator divergence from price and deceleration of movement when approaching extreme zones
2/ Signal Generation Strategies
Depending on your trading approach, multiple signal strategies can be employed:
Trend Following Signals:
Enter long positions when the oscillator crosses above zero
Enter short positions when the oscillator crosses below zero
Add to positions on pullbacks while maintaining the overall trend direction
Countertrend Signals:
Look for potential reversals when the oscillator reaches extreme zones (±95)
Enter contrary positions when momentum shows signs of exhaustion
Use oscillator divergence with price as additional confirmation
Momentum Shift Signals:
Enter positions when oscillator changes direction after establishing a trend
Exit positions when oscillator direction reverses against your position
Scale position size based on oscillator strength percentage
3/ Timeframe Optimization
The indicator can be effectively applied across different timeframes with these considerations:
Lower Timeframes (1-15min):
Use Scalping or Day Trading presets
Focus on quick momentum shifts and zero-line crossings
Be cautious of noise in extreme market conditions
Medium Timeframes (30min-4h):
Use Default or Swing Trading presets
Look for established trends and potential reversal zones
Combine with support/resistance analysis for entry/exit precision
Higher Timeframes (Daily+):
Use Position Trading or Trend Following presets
Focus on major trend identification and long-term positioning
Use extreme zones for position management rather than immediate reversals
🟢 Pro Tips
Price Momentum Period:
→ Lower values (5-7) increase sensitivity to minor price fluctuations but capture more market noise
→ Higher values (10-16) emphasize sustained momentum shifts at the cost of delayed response
→ Adjust based on your timeframe (lower for shorter timeframes, higher for longer timeframes)
Oscillator Filter Period:
→ Lower values (80-120) produce more frequent directional changes and earlier response to momentum shifts
→ Higher values (200-300) filter out shorter-term fluctuations to highlight dominant market cycles
→ Match to your typical holding period (shorter holding time = lower filter values)
Multi-Timeframe Analysis:
→ Compare oscillator readings across different timeframes for confluence
→ Look for alignment between higher and lower timeframe signals
→ Use higher timeframe for trend direction, lower for earlier entries
Volatility-Adaptive Trading:
→ Use oscillator strength to adjust position sizing (stronger = larger)
→ Consider reducing exposure when oscillator reaches extreme zones
→ Implement tighter stops during periods of oscillator acceleration
Combination Strategies:
→ Pair with volume indicators for confirmation of momentum shifts
→ Use with support/resistance levels for strategic entry and exit points
→ Combine with volatility indicators for comprehensive market context
PRO Strategy 3TP (v2.1)**PRO Strategy 3TP (v2.1) - TradingView Strategy Guide**
**ENG | **
---
### **Strategy Overview**
The **PRO Strategy 3TP** combines multi-timeframe analysis, trend filters, and dynamic risk management to capture trends with precision. It uses EMA/HMA/SMA crossovers, CCI for overbought/oversold conditions, ADX for trend strength, and ATR-based stops/take-profits. The strategy’s uniqueness lies in its **three-tier profit-taking system**, adaptive multi-timeframe logic, and automatic stop-loss movement to breakeven after TP1.
---
### **Key Features**
1. **Multi-Timeframe Analysis**: Uses higher timeframe (e.g., 1H, 4H) indicators to filter entries on your chart’s timeframe.
2. **Trend Filters**: Combines EMA, HMA, and SMA to confirm trend direction.
3. **CCI + ADX Filters**: Avoids false signals by requiring momentum (CCI) and trend strength (ADX > threshold).
4. **ATR Volatility Adjustments**: Stop-loss (SL) and take-profits (TP1/TP2/TP3) adapt to market volatility.
5. **Breakeven Stop**: SL moves to entry price after TP1 is hit, locking in profits.
---
### **Setup & Configuration**
1. **Input Parameters**:
- **Trading Mode**: Choose LONG, SHORT, or BOTH.
- **Indicator Timeframe**: Select a higher timeframe (e.g., "60" for 1H).
- **EMA/HMA/SMA**: Toggle on/off and set lengths (default: 100, 50, 200).
- **CCI**: Set length (default: 4), overbought (+100), oversold (-100).
- **ADX**: Set length (default: 14) and threshold (default: 26).
- **ATR**: Period (default: 19), SL/TP multipliers (default: SL=5x, TP1=1x, TP2=1.3x, TP3=1.7x).
2. **Position Sizing**:
- **Always specify size in contracts**, not percentages. Calculate contracts based on your risk per trade (e.g., 1-2% of capital).
3. **Multi-Timeframe Logic**:
- Example: If your chart is 15M, set the indicator timeframe to 1H. Entries trigger when the 15M price aligns with the 1H trend.
---
### **How It Works**
- **Entry Conditions**:
- **Long**: Price > EMA/HMA/SMA + CCI < -100 (oversold) + ADX > 26 (strong trend).
- **Short**: Price < EMA/HMA/SMA + CCI > +100 (overbought) + ADX > 26.
- **Exits**:
- **SL**: 5x ATR from entry.
- **TP1**: 1x ATR profit. After TP1 hits, SL moves to breakeven.
- **TP2/TP3**: 1.3x and 1.7x ATR profit.
---
### **Example Configurations**
1. **Scalping (1-15M Chart)**:
- EMA=50, HMA=20, SMA=OFF, CCI=3, ATR=14, SL=3x, TP1=0.8x.
- Indicator TF: 5M.
2. **Swing Trading (1H-4H Chart)**:
- EMA=100, HMA=50, SMA=200, ADX=20, SL=5x, TP1=1x.
- Indicator TF: 1D.
3. **Trend Following (Daily Chart)**:
- SMA=200, ADX=25, CCI=OFF, SL=6x, TP3=2x.
---
### **ADX Explanation**
The ADX (Average Directional Index) measures trend strength. Values above 25 indicate a strong trend. The strategy uses ADX to avoid trading in sideways markets.
---
### **Risk Management**
- **Past results do NOT guarantee future performance**.
- **No universal settings**: Optimize for each asset (BTC vs. alts behave differently).
- Test settings in a demo account before live trading.
- Never risk more than 1-5% per trade.
---
### **FAQ**
**Q: Why specify position size in contracts?**
A: Contracts let you precisely control risk. For example, if your SL is 50 points and you risk $100, size = 100 / (SL distance * contract value).
**Q: How does the breakeven stop work?**
A: After TP1 (33% position closed), the SL moves to entry price, eliminating risk for the remaining position.
**Q: Can I use this on stocks/forex?**
A: Yes, but re-optimize ATR/SL/TP settings for each market’s volatility.
---
**ПРО Стратегия 3TP (v2.1) - Руководство для TradingView**
---
### **Описание стратегии**
**PRO Strategy 3TP** сочетает мультитаймфрейм-анализ, фильтры тренда и динамическое управление рисками. Уникальность: **три уровня тейк-профита**, адаптивные настройки под разные таймфреймы, автоматический перевод стопа в безубыток после TP1.
---
### **Особенности**
1. **Мультитаймфрейм**: Индикаторы строятся на старшем ТФ (например, 1H) для фильтрации сигналов.
2. **Тренд**: Комбинация EMA, HMA, SMA.
3. **CCI + ADX**: CCI определяет перекупленность/перепроданность, ADX — силу тренда.
4. **ATR**: Стопы и тейки адаптируются к волатильности.
5. **Стоп в безубыток**: После TP1 стоп двигается к цене входа.
---
### **Настройка**
1. **Параметры**:
- **Режим**: LONG, SHORT или LONG/SHORT.
- **Таймфрейм индикаторов**: Выберите старший ТФ (например, 1H).
- **EMA/HMA/SMA**: Длины (по умолчанию: 100, 50, 200).
- **CCI**: Уровни перекупленности (+100)/перепроданности (-100).
- **ADX**: Порог силы тренда (26).
- **ATR**: Период (19), множители SL/TP.
2. **Объем позиции**:
- Указывайте в **контрактах**, а не в процентах. Рассчитывайте на основе риска на сделку.
3. **Мультитаймфрейм**:
- Пример: На 15-минутном графике используйте индикаторы с 1H.
---
### **Логика работы**
- **Вход**:
- **Лонг**: Цена выше EMA/HMA/SMA + CCI < -100 + ADX > 26.
- **Шорт**: Цена ниже EMA/HMA/SMA + CCI > +100 + ADX > 26.
- **Выход**:
- **SL**: 5x ATR от цены входа.
- **TP1**: 1x ATR. После TP1 стоп двигается в безубыток.
- **TP2/TP3**: 1.3x и 1.7x ATR.
---
### **Примеры настроек**
1. **Скальпинг (1-15M)**:
- EMA=50, HMA=20, CCI=3, SL=3x, TP1=0.8x.
2. **Свинг (1H-4H)**:
- SMA=200, ADX=20, SL=5x.
3. **Тренд (Daily)**:
- ADX=25, SL=6x, TP3=2x.
---
### **Как работает ADX**
ADX измеряет силу тренда. Значения выше 25 сигнализируют о сильном тренде. Стратегия избегает входов при ADX < 26.
---
### **Риски**
- **Исторические результаты не гарантируют будущие**.
- **Нет универсальных настроек**: Оптимизируйте под каждый актив (BTC vs. альты).
- Тестируйте на демо-счете.
- Рискуйте не более 1-5% на сделку.
---
### **FAQ**
**В: Почему объем в контрактах?**
О: Чтобы точно контролировать риск. Пример: если стоп = 50 пунктов, а риск = $100, объем = 100 / (стоп * стоимость контракта).
**В: Как работает стоп в безубыток?**
О: После закрытия 33% позиции (TP1), стоп переносится на цену входа, защищая оставшуюся позицию.
**В: Подходит для акций/форекс?**
О: Да, но перенастройте ATR/SL/TP под волатильность рынка.
---
**⚠️ Warning / Предупреждение**: Trading involves high risk. Always backtest and optimize strategies. Use stop-losses. / Торговля связана с риском. Всегда тестируйте стратегии. Используйте стоп-лоссы.
Mean Reversion Indicator + VIX
// This is a mean reversion indicator that anticipates a local trend reversion,
// It is best used in candle-by-candle processing.
// Actually, it is a channel with the mid-line serving as a moving mean baseline.
// Each of the two curves run up and down within this channel bouncing off from the top and bottom bounds.
// Touching the bounds serves as an indication of a local trend reversal.
// The reversal signal is stronger when there exists a resonance (symmetry) in the two curves.
// The background histogram shows a Karobein oscillator that contributes support or resistance for the signal.
Mean Reversion Indicator + VIX // This is a mean reversion indicator that anticipates a local trend reversion,
// It is best used in candle-by-candle processing.
// Actually, it is a channel with the mid-line serving as a moving mean baseline.
// Each of the two curves run up and down within this channel bouncing off from the top and bottom bounds.
// Touching the bounds serves as an indication of a local trend reversal.
// The reversal signal is stronger when there exists a resonance (symmetry) in the two curves.
// The background histogram shows a Karobein oscillator that contributes support or resistance for the signal.
RSI STRATEGYThis Pine Script code is a complex trading strategy that combines multiple technical indicators including RSI, Cyclic RSI, CCI, Choppiness Index, and Bollinger Bands. Here's a breakdown of what it does:
Main Components:
Uses both standard RSI and Cyclic RSI (a modified version of RSI)
Implements pivot point trend lines (support/resistance)
Includes a "MOST" indicator (similar to SuperTrend) for trend following
Adds additional indicators like CCI, Choppiness Index, and Bollinger Bands %B
Key Features:
Plots RSI with a WMA (Weighted Moving Average) line
Identifies trend lines automatically based on pivot points
Generates buy/sell signals based on crossovers between RSI and its moving average
Includes noise filtering options for the RSI values
Has alert conditions for buy/sell signals
Visual Elements:
Stepped RSI line that changes color based on its position relative to the WMA
Trend lines (support/resistance) in different colors
Signal labels with emojis (🐻 for sell, 🚀 for buy)
A midline at 50 for reference
Custom Calculations:
Special VAR (Variable Index Dynamic Average) moving average type
Cyclic RSI calculation with vibration and torque parameters
Zigzag pattern detection for identifying swing highs/lows
Input Options:
Multiple choices for RSI type (standard or cyclic)
Different noise filtering options
Various moving average types (SMA, EMA, WMA, etc.)
Adjustable lengths for all indicators
The strategy appears to be designed for mean-reversion trading using RSI, with additional trend-following elements from the MOST indicator. The combination of multiple indicators suggests it's looking for confluence between different technical factors before generating signals.
Note that this is quite a complex script with many components, which could lead to overfitting if not properly tested. The effectiveness would depend heavily on the chosen parameters and market conditions.