RSI Swing + VWAP + EMA + Camarilla + PDH/PDL+CPRThis script provide the follwing -
1. Daily CPR level
2. Camarilla S3/R3
3. Previous Day High/Low (PDH/PDL)
4. Dynamic VWAP
5. Dynamic EMA 20/200
6. Dynamic RSi Swing
Dec 10
Release Notes
This script provide the follwing -
1. Daily CPR level
2. Camarilla S3/R3
3. Previous Day High/Low (PDH/PDL)
4. Dynamic VWAP
5. Dynamic EMA 20/200/36
6. Dynamic RSi Swing
Which is better: 36 EMA or 36 SMA for Support/Resistance?
✔ 36 EMA (Exponential Moving Average)
Better for intraday, short-term trading, scalping, and momentum trading.
Why?
Reacts faster to price.
Captures trend shifts early.
Works great when market is trending or volatile.
Most traders use EMA for dynamic support/resistance → works better because of crowd behavior.
Ideal for:
NIFTY, BANKNIFTY, FINNIFTY intraday | Options entries | Trend continuation trades.
Why 20 EMA is Important
The 20 EMA is one of the most widely used moving averages for intraday, swing, and positional trading because it captures short-term trend strength and momentum.
📌 20 EMA Works Best For
✔ Intraday trend identification
✔ Momentum continuation entries
✔ Dynamic support/resistance
✔ Quick reversal detection
✔ Options trading (NIFTY/BNF)
✔ Breakout & pullback trades
EMA 200 – Why It’s Extremely Important
The 200 EMA represents the long-term trend and is respected by:
Institutions
Algo systems
Big traders
Swing traders
Index traders
It acts like a major wall of support or resistance.
💡 What EMA 200 Tells You
✔ Long-term trend direction
Price above 200 EMA → Long-term uptrend
Price below 200 EMA → Long-term downtrend
✔ Strong trend reversal signals
When price crosses the 200 EMA on 15m/1h/1D charts → a deeper trend change is possible.
✔ Institutional support/resistance
Very powerful bounce/rejection zones
Many markets reverse exactly at 200 EMA
What is Previous Day High (PDH)?
The highest price the market reached in the previous trading session.
Why PDH is Important?
Acts as strong resistance
Breakout level for uptrend
Sellers often defend this zone
If broken with volume → strong bullish momentum
🔴 What is Previous Day Low (PDL)?
The lowest price the market reached in the previous trading session.
Why PDL is Important?
Acts as strong support
Breakdown level for downtrend
Buyers defend this level
If broken with volume → strong bearish trend
📌 How PDH/PDL Help in Intraday Trading
1️⃣ Range Breakout Trades
If price breaks PDH → bullish breakout (Buy CE)
If price breaks PDL → bearish breakdown (Buy PE)
What is Camarilla R3?
R3 = Resistance Level 3 in the Camarilla Pivot system.
Why R3 is important?
Acts as a major intraday resistance
Price often reverses from R3
If broken with force → strong uptrend starts
Many traders use R3 as a decision zone
Typical Market Behavior at R3
Rejection from R3 → Sell/PE opportunity
Break + Retest above R3 → CE opportunity
🔴 What is Camarilla S3?
S3 = Support Level 3 in the Camarilla Pivot system.
Why S3 is important?
Acts as a major intraday support
Buyers defend this zone
Breakdown of S3 → strong fall
S3 is often a bounce zone in the morning
Typical Market Behavior at S3
Bounce from S3 → Buy/CE opportunity
Break + Retest below S3 → PE opportunity
📌 Trader Logic: R3 & S3 Zones
⭐ 1. Range Reversal Strategy (Most Popular)
At R3 → Sell/PE
At S3 → Buy/CE
What is VWAP?
VWAP = Volume Weighted Average Price
It shows the average price at which most trading has happened during the day, based on both price and volume.
It resets every day at market open.
🔥 Why VWAP Is So Powerful?
VWAP is used by:
Institutions
Algo traders
Scalpers
Intraday traders
Dec 10
Release Notes
This script provide the follwing -
1. Daily CPR level
2. Camarilla S3/R3
3. Previous Day High/Low (PDH/PDL)
4. Dynamic VWAP
5. Dynamic EMA 20/200
6. Dynamic RSi Swing
3 hours ago
Release Notes
This script provide the follwing -
1. Daily CPR level
2. Camarilla S3/R3
3. Previous Day High/Low (PDH/PDL)
4. Dynamic VWAP
5. Dynamic EMA 20/200/36
6. Dynamic RSi Swing
Which is better: 36 EMA or 36 SMA for Support/Resistance?
✔ 36 EMA (Exponential Moving Average)
Better for intraday, short-term trading, scalping, and momentum trading.
Why?
Reacts faster to price.
Captures trend shifts early.
Works great when market is trending or volatile.
Most traders use EMA for dynamic support/resistance → works better because of crowd behavior.
Ideal for:
NIFTY, BANKNIFTY, FINNIFTY intraday | Options entries | Trend continuation trades.
Why 20 EMA is Important
The 20 EMA is one of the most widely used moving averages for intraday, swing, and positional trading because it captures short-term trend strength and momentum.
📌 20 EMA Works Best For
✔ Intraday trend identification
✔ Momentum continuation entries
✔ Dynamic support/resistance
✔ Quick reversal detection
✔ Options trading (NIFTY/BNF)
✔ Breakout & pullback trades
EMA 200 – Why It’s Extremely Important
The 200 EMA represents the long-term trend and is respected by:
Institutions
Algo systems
Big traders
Swing traders
Index traders
It acts like a major wall of support or resistance.
💡 What EMA 200 Tells You
✔ Long-term trend direction
Price above 200 EMA → Long-term uptrend
Price below 200 EMA → Long-term downtrend
✔ Strong trend reversal signals
When price crosses the 200 EMA on 15m/1h/1D charts → a deeper trend change is possible.
✔ Institutional support/resistance
Very powerful bounce/rejection zones
Many markets reverse exactly at 200 EMA
What is Previous Day High (PDH)?
The highest price the market reached in the previous trading session.
Why PDH is Important?
Acts as strong resistance
Breakout level for uptrend
Sellers often defend this zone
If broken with volume → strong bullish momentum
🔴 What is Previous Day Low (PDL)?
The lowest price the market reached in the previous trading session.
Why PDL is Important?
Acts as strong support
Breakdown level for downtrend
Buyers defend this level
If broken with volume → strong bearish trend
📌 How PDH/PDL Help in Intraday Trading
1️⃣ Range Breakout Trades
If price breaks PDH → bullish breakout (Buy CE)
If price breaks PDL → bearish breakdown (Buy PE)
What is Camarilla R3?
R3 = Resistance Level 3 in the Camarilla Pivot system.
Why R3 is important?
Acts as a major intraday resistance
Price often reverses from R3
If broken with force → strong uptrend starts
Many traders use R3 as a decision zone
Typical Market Behavior at R3
Rejection from R3 → Sell/PE opportunity
Break + Retest above R3 → CE opportunity
🔴 What is Camarilla S3?
S3 = Support Level 3 in the Camarilla Pivot system.
Why S3 is important?
Acts as a major intraday support
Buyers defend this zone
Breakdown of S3 → strong fall
S3 is often a bounce zone in the morning
Typical Market Behavior at S3
Bounce from S3 → Buy/CE opportunity
Break + Retest below S3 → PE opportunity
📌 Trader Logic: R3 & S3 Zones
⭐ 1. Range Reversal Strategy (Most Popular)
At R3 → Sell/PE
At S3 → Buy/CE
What is VWAP?
VWAP = Volume Weighted Average Price
It shows the average price at which most trading has happened during the day, based on both price and volume.
It resets every day at market open.
🔥 Why VWAP Is So Powerful?
VWAP is used by:
Institutions
Algo traders
Scalpers
Intraday traders
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Strat Structure Engine + Trapped TradersStrat Structure Engine + Trapped Traders – Detailed Description
This script identifies high-probability market structure patterns known as “The Strat” setups, specifically focusing on 3-bar → Failed 2, 2-bar → Failed 2, and Failed 2 → Failed 2 (“Dragon’s Tail”) sequences. It is designed to help traders visualize potential reversals, trapped traders, and exhaustion points directly on the chart, combining price action, volatility, and volume metrics to grade signal strength.
Key Features:
3-Bar → Failed 2 (Tiered Scoring):
Detects a 3-bar structure followed immediately by a strict Failed 2 bar.
Evaluates the setup using four criteria:
3-bar range relative to ATR
Failed 2 close position relative to the 3-bar midpoint
Failed 2 body-to-range ratio
Volume relative to recent average
Assigns a tier (A+, A, B, or —) to indicate reliability, giving traders a graded view of signal strength.
2-Bar → Failed 2 (A+ Only):
Identifies strict 2-bar structures immediately followed by a Failed 2 bar.
Uses a similar evaluation system as 3→F2 but filters only for the strongest A+ setups.
Highlights signals where price shows strong directional rejection and high probability for reversal.
Dragon’s Tail – Failed 2 → Failed 2:
Captures consecutive Failed 2 bars in opposite directions, a classic trapped-trader scenario.
Signals both bullish and bearish sequences on bar close, helping traders spot potential quick reversals.
How It Works:
Uses ATR to contextualize bar ranges and volatility.
Incorporates volume averaging to detect unusually high trading activity that validates the strength of a Failed 2 setup.
Strict bar evaluation ensures only fully-formed, confirmed patterns are labeled, reducing noise and false signals.
Optional labels and alerts allow traders to track these structures in real-time or on bar close.
Practical Trading Use:
Ideal for spotting short-term exhaustion points, trapped traders, and reversal zones.
Can be used alongside liquidity zones, VWAP, and fair value gaps to refine entries and exits.
Traders can focus on high-tier signals (A+ / A) for higher probability trades, while lower-tier signals (B) indicate caution or context setups.
Customization Options:
Toggle visibility for each pattern type (3→F2, 2→F2, F2→F2).
Adjust ATR length and volume average period for different instruments or timeframes.
Alerts are available for all major setups, enabling integration with automated monitoring or manual execution strategies.
Summary:
The Strat Structure Engine + Trapped Traders script combines price action structure, volatility, and volume analysis to visualize high-probability reversal setups. By highlighting both strict pattern confirmations and tiered reliability, it provides traders with actionable insight into potential turning points, trapped trader scenarios, and high-conviction market moves without relying on external scripts or assumptions.
VSA Persistent Zones with Arrows Purpose
This indicator is designed to analyze trading volume relative to price movement using the VSA (Volume Spread Analysis) methodology. It aims to:
Identify key price zones where there is strong price movement with high trading volume.
Plot arrows on high-volume candles for quick visual identification.
Keep these zones persistent until broken by price, helping traders make decisions based on real support and resistance levels.
Highs & LowsIntroduction: This indicator marks highs and lows from the previous New York, Asian, and London sessions, including the daily high and low. It is made to be as user friendly/adjustable as possible.
It was designed around trading during the New York morning session, using the 1 hour and 1 minute(or similar) timeframes in conjunction.
Settings: Common settings for the cleanest viewing are as follows:
1 Hour Chart Settings:
Box #3 "Label Vertical Offset" to "18".
Box #4 "Label X Offset" to "2".
1 Minute Chart Settings:
Box #3 "Label Vertical Offset" to "2".
Box #4 "Label X Offset" to "0".
Note: Adjusting text to the darkest "black" setting may provide the best contrast.
Multi-Fractal Trading Plan [Gemini] v22Multi-Fractal Trading Plan
The Multi-Fractal Trading Plan is a quantitative market structure engine designed to filter noise and generate actionable daily strategies. Unlike standard auto-trendline indicators that clutter charts with irrelevant data, this system utilizes Fractal Geometry to categorize market liquidity into three institutional layers: Minor (Intraday), Medium (Swing), and Major (Institutional).
This tool functions as a Strategic Advisor, not just a drawing tool. It calculates the delta between price and structural pivots in real-time, alerting you when price enters high-probability "Hot Zones" and generating a live trading plan on your dashboard.
Core Features
1. Three-Tier Fractal Engine The algorithm tracks 15 distinct fractal lengths simultaneously, aggregating them into a clean hierarchy:
Minor Structure (Thin Lines): Captures high-frequency volatility for scalping.
Medium Structure (Medium Lines): Identifies significant swing points and intermediate targets.
Major Structure (Thick Lines): Maps the "Institutional" defense lines where trend reversals and major breakouts occur.
2. The Strategic Dashboard A dynamic data panel in the bottom-right eliminates analysis paralysis:
Floor & Ceiling Targets: Displays the precise price levels of the nearest Support and Resistance.
AI Logic Output: The script analyzes market conditions to generate a specific command, such as "WATCH FOR BREAKOUT", "Near Lows (Look Long?)", or "WAIT (No Setup)".
3. "Hot Zone" Detection Never miss a critical test of structure.
Dynamic Alerting: When price trades within 1% (adjustable) of a Major Trend Line, the indicator’s labels turn Bright Yellow and flash a warning (e.g., "⚠️ WATCH: MAJOR RES").
Focus: This visual cue highlights the exact moment execution is required, reducing screen fatigue.
4. The Quant Web & Markers
Pivot Validation: Deep blue fractal markers (▲/▼) identify the exact candles responsible for the structure.
Inter-Timeframe Web: Faint dotted lines connect Minor pivots directly to Major pivots, visualizing the "hidden" elasticity between short-term noise and long-term trend anchors.
5. Enterprise Stability Engine Engineered to solve the "Vertical Line" and "1970 Epoch" glitches common in Pine Script trend indicators. This engine is optimized for Futures (NQ/ES), Forex, and Crypto, ensuring stability across all timeframes (including gaps on ETH/RTH charts).
Operational Guide
Consult the Dashboard: Before executing, check the "Strategy" output. If it says "WAIT", the market is in chop. If it says "WATCH FOR BOUNCE", prepare your entry criteria.
Monitor Hot Zones: A Yellow Label indicates price is testing a major liquidity level. This is your signal to watch for a rejection wick or a high-volume breakout.
Utilize the Web: Use the faint web lines to find "confluence" where a short-term pullback aligns with a long-term trend line.
Configuration
Show History: Toggles "Ghost Lines" (Blue) to display historical structure and broken trends.
Fractal Points: Toggles the geometric pivot markers.
Hot Zone %: Adjusts the sensitivity of the Yellow Warning system (Default: 1%).
Max Line Length: A noise filter that removes stale or "spiderweb" lines that are no longer statistically relevant.
SR Channel + EMA + RSI MTF + VolHighlight - Edited by MochiSR + Volume + RSI MTF – edited by Mochi
This indicator combines three tools into a single script:
SR Zones from Pivots
Automatically detects clusters of pivot highs/lows and groups them into support and resistance zones.
Zone width is tightened using a percentage of the pivot cluster range so levels are more precise and cleaner.
Each zone includes:
A colored box (SR area),
A dashed midline,
A POC line (price level with the highest traded volume inside the zone),
A label showing the zone price and distance (%) from current price.
Zone color is dynamic but simple and stable:
If price closes below the mid of the zone → it is treated as resistance (red).
If price closes above the mid of the zone → it is treated as support (green).
Box, lines, and label always share the same color.
Volume Inside the Zone + POC
Calculates buy/sell volume for candles whose close lies inside each zone.
Uses abs(buyVol − sellVol) / (buyVol + sellVol) to measure volume imbalance and control box opacity:
Stronger, more one‑sided volume → darker box (stronger zone).
POC is drawn as a thin line with the same color as the zone to highlight the best liquidity level for entries/TP.
Multi‑Timeframe RSI Dashboard
Shows RSI(14) values for multiple timeframes (1m, 5m, 15m, 30m, 1h, 4h, 8h, 1d), each can be toggled on/off.
Background color of each RSI cell:
RSI > 89 → red (strong overbought),
80–89 → orange (warning area),
RSI < 28 → lime (strong oversold),
Otherwise → white (neutral).
The goal of this script is to give traders a clear view of:
Key support/resistance zones,
Their volume quality and POC,
And multi‑TF overbought/oversold conditions via the RSI dashboard – all in one indicator to support retest/flip‑zone trading.
SFI Follow Trend Level 1 ( SFI Academy )“SFI Trading Level 1 Indicator is a proprietary indicator used by SFI Academy for its students, in combination with SFI Academy’s exclusive capital management toolset.”
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy
This Pine Script v6 strategy is designed for cryptocurrency markets operating on 5-minute and faster timeframes. It combines volatility regime detection, multi-path signal confirmation, and adaptive risk management to identify momentum-based trading opportunities in perpetual futures markets.
Core Design Principles
The strategy addresses three challenges specific to cryptocurrency trading:
24/7 market operation without session boundaries requires continuous monitoring and execution logic
Volatility regimes shift rapidly, demanding adaptive stop and target calculations
Tick-level responsiveness is critical for capturing momentum moves before they complete
Strategy Architecture
1. Signal Generation Stack
The strategy uses multiple technical indicators calibrated for cryptocurrency momentum:
MACD with parameters 8/21/5 (fast/slow/signal) optimized for crypto acceleration phases
EMA ribbon using 8/21/34 periods with slope analysis to assess trend structure
Volume impulse detection combining SMA baseline, standard deviation, and z-score filtering
RSI (21 period) and MFI (21 period) for momentum confirmation
Bollinger Bands and Keltner Channels for squeeze detection
2. Volatility Regime Classification
The strategy normalizes ATR as a percentage of price and classifies market conditions into three regimes:
Compression (< 0.8% ATR): Reduced position sizing, tighter stops (1.05x ATR), lower profit targets (1.6x ATR)
Expansion (0.8% - 1.6% ATR): Standard risk parameters, balanced risk-reward (1.55x stop, 2.05x target)
Velocity (> 1.6% ATR): Wider stops (2.1x ATR), amplified targets (2.8x ATR), tighter trailing offsets
ATR is calculated over 21 periods and smoothed with a 13-period EMA to reduce noise from wicks.
3. Multi-Path Entry System
Four independent signal pathways contribute to a composite strength score (0-100):
Trend Break (30 points): Requires EMA ribbon alignment, positive slope, and structure breakout above/below recent highs/lows
Momentum Surge (30 points): MACD histogram exceeds adaptive baseline, MACD line crosses signal, RSI/MFI above/below thresholds, with volume impulse confirmation
Squeeze Release (25 points): Bollinger Bands compress inside Keltner Channels, then release with momentum bias
Micro Pullback (15 points): Shallow retracements within trend structure that reset without breaking support/resistance
Additional scoring modifiers:
Volume impulse: +5 points when present, -5 when absent
Regime bonus: +5 in velocity, -2 in compression
Cycle bias: +5 when aligned, -5 when counter-trend
Trades only execute when the composite score reaches the minimum threshold (default: 55) and all filters agree.
4. Risk Management Framework
Position sizing is calculated from:
RiskCapital = Equity × (riskPerTradePct / 100)
StopDistance = ATR × StopMultiplier(regime)
Quantity = min(RiskCapital / StopDistance, MaxExposure / Price)
The strategy includes:
Risk per trade: 0.65% of equity (configurable)
Maximum exposure: 12% of equity (configurable)
Regime-adaptive stop and target multipliers
Adaptive trailing stops based on ATR and regime
Kill switch that disables new entries after 6.5% drawdown
Momentum fail-safe exits when MACD polarity flips or ribbon structure breaks
5. Additional Filters
Cycle Oscillator : Measures price deviation from 55-period EMA. Requires cycle bias alignment (default: ±0.15%) before entry
BTC Dominance Filter : Optional filter using CRYPTOCAP:BTC.D to reduce long entries during risk-off periods (rising dominance) and short entries during risk-on periods
Session Filter : Optional time-based restriction (disabled by default for 24/7 operation)
Strategy Parameters
All default values used in backtesting:
Core Controls
Enable Short Structure: true
Restrict to Session Window: false
Execution Session: 0000-2359:1234567 (24/7)
Allow Same-Bar Re-Entry: true
Optimization Constants
MACD Fast Length: 8
MACD Slow Length: 21
MACD Signal Length: 5
EMA Fast: 8
EMA Mid: 21
EMA Slow: 34
EMA Slope Lookback: 8
Structure Break Window: 9
Regime Intelligence
ATR Length: 21
Volatility Soothing: 13
Low Vol Regime Threshold: 0.8% ATR
High Vol Regime Threshold: 1.6% ATR
Cycle Bias Length: 55
Cycle Bias Threshold: 0.15%
BTC Dominance Feed: CRYPTOCAP:BTC.D
BTC Dominance Confirmation: true
Signal Pathways
Volume Baseline Length: 34
Volume Impulse Multiplier: 1.15
Volume Z-Score Threshold: 0.5
MACD Histogram Smoothing: 5
MACD Histogram Sensitivity: 1.15
RSI Length: 21
RSI Momentum Trigger: 55
MFI Length: 21
MFI Momentum Trigger: 55
Squeeze Length: 20
Bollinger Multiplier: 1.5
Keltner Multiplier: 1.8
Squeeze Release Momentum Gate: 1.0
Micro Pullback Depth: 7
Minimum Composite Signal Strength: 55
Risk Architecture
Risk Allocation per Trade: 0.65%
Max Exposure: 12% of Equity
Base Risk/Reward Anchor: 1.8
Stop Multiplier • Low Regime: 1.05
Stop Multiplier • Medium Regime: 1.55
Stop Multiplier • High Regime: 2.1
Take Profit Multiplier • Low Regime: 1.6
Take Profit Multiplier • Medium Regime: 2.05
Take Profit Multiplier • High Regime: 2.8
Adaptive Trailing Engine: true
Trailing Offset Multiplier: 0.9
Quantity Granularity: 0.001
Kill Switch Drawdown: 6.5%
Strategy Settings
Initial Capital: $100,000
Commission: 0.04% (0.04 commission_value)
Slippage: 1 tick
Pyramiding: 1 (no position stacking)
calc_on_every_tick: true
calc_on_order_fills: true
Visualization Features
The strategy includes:
EMA ribbon overlay (8/21/34) with customizable colors
Regime-tinted background (compression: indigo, expansion: purple, velocity: magenta)
Dynamic bar coloring based on signal strength divergence
Signal labels for entry points
On-chart dashboard displaying regime, ATR%, signal strength, position status, stops, targets, and risk metrics
Recommended Usage
Timeframes
The strategy is optimized for 5-minute charts. It can operate on 3-minute and 1-minute timeframes for faster scalping, or 15-minute for swing confirmation. When using higher timeframes, consider:
Increasing structure lookback windows
Raising RSI trigger thresholds above 58 to filter noise
Extending volume baseline length
Markets
Designed for high-liquidity cryptocurrency perpetual futures:
BTC/USDT, BTC/USD perpetuals
ETH perpetuals
Major L1 tokens with sufficient volume
For thinner order books, increase volume impulse multiplier and adjust quantity granularity to match exchange minimums.
Limitations and Compromises
Backtesting Considerations
TradingView strategy backtesting does not replicate broker execution. Actual fills, slippage, and commissions may differ
The strategy uses calc_on_every_tick=true and calc_on_order_fills=true to reduce bar-close distortions, but real execution still depends on broker infrastructure
At least 200 historical bars are required to stabilize regime classification, volume baselines, and cycle context
Market Structure Dependencies
BTC dominance feed ( CRYPTOCAP:BTC.D ) may lag during low-liquidity periods or weekends. Consider disabling the filter if data quality degrades
Volume impulse detection assumes consistent order book depth. During extreme volatility or exchange issues, volume signatures may be unreliable
Regime classification based on ATR percentage assumes normal volatility distributions. During black swan events, regime thresholds may not adapt quickly enough
Parameter Sensitivity
Default parameters are tuned for BTC/ETH perpetuals on 5-minute charts. Different assets or timeframes require recalibration
The composite signal strength threshold (55) balances selectivity vs. opportunity. Higher values reduce false signals but may miss valid setups
Risk per trade (0.65%) and max exposure (12%) are conservative defaults. Aggressive scaling increases drawdown risk
Execution Constraints
Same-bar re-entry requires broker support for rapid order placement
Quantity granularity must match exchange contract minimums
Kill switch drawdown (6.5%) may trigger during normal volatility cycles, requiring manual reset
Performance Expectations
This strategy is a framework for momentum-based cryptocurrency trading. Performance depends on:
Market conditions (trending vs. ranging)
Exchange execution quality
Parameter calibration for specific assets
Risk management discipline
Backtest results shown in publications reflect specific market conditions and parameter sets. Past performance does not indicate future results. Always forward test with paper trading or broker simulation before deploying live capital.
Code Structure
The strategy is organized into functional sections:
Configuration groups for parameter organization
Helper functions for position sizing and normalization
Core indicator calculations (MACD, EMA, ATR, RSI, MFI, volume analytics)
Regime classification logic
Multi-path signal generation and composite scoring
Entry/exit orchestration with risk management
Visualization layer with dashboard and chart elements
The source code is open and can be modified to suit your trading requirements. Everyone is encouraged to understand the logic before deploying and to test thoroughly in their target markets.
Modification Guidelines
When adapting this strategy:
Document any parameter changes in your publication
Test modifications across different market regimes
Validate position sizing logic for your exchange's contract specifications
Consider exchange-specific limitations (funding rates, liquidation mechanics, order types)
Conclusion
This strategy provides a structured approach to cryptocurrency momentum trading with regime awareness and adaptive risk controls. It is not a guaranteed profit system, but rather a framework that requires understanding, testing, and ongoing calibration to market conditions.
You should thoroughly understand the logic, test extensively in their target markets, and manage risk appropriately. The strategy's effectiveness depends on proper parameter tuning, reliable execution infrastructure, and disciplined risk management.
Disclaimer
This script and its documentation are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading advice of any kind. Trading cryptocurrencies and derivatives involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by backtesting, does not guarantee future results.
This strategy is provided "as is" without any warranties or guarantees of profitability
You should not rely solely on this strategy for making trading decisions
Always conduct your own research and analysis before making any financial decisions
Consider consulting with a qualified financial advisor before engaging in trading activities
The authors and contributors are not responsible for any losses incurred from using this strategy
Cryptocurrency trading can result in the loss of your entire investment
Only trade with capital you can afford to lose
Use this strategy at your own risk. The responsibility for any trading decisions and their consequences lies entirely with you.
Account GuardianAccount Guardian: Dynamic Risk/Reward Overlay
Introduction
Account Guardian is an open-source indicator for TradingView designed to help traders evaluate trade setups before entering positions. It automatically calculates Risk-to-Reward ratios based on market structure, displays visual Stop Loss and Take Profit zones, and provides real-time position sizing recommendations.
The indicator addresses a fundamental question every trader should ask before entering a trade: "Does this setup make mathematical sense?" Account Guardian answers this question visually and numerically, helping traders avoid impulsive entries with poor risk profiles.
Core Functionality
Account Guardian performs four primary functions:
Detects swing highs and swing lows to identify logical stop loss placement levels
Calculates Risk-to-Reward ratios for both long and short setups in real-time
Displays visual SL/TP zones on the chart for immediate trade planning
Computes position sizing based on your account size and risk tolerance
The goal is to provide traders with instant feedback on whether a potential trade meets their minimum risk/reward criteria before committing capital.
How It Works
Swing Detection
The indicator uses pivot point detection to identify recent swing highs and swing lows on the chart. These swing points serve as logical areas for stop loss placement:
For Long Trades: The most recent swing low becomes the stop loss level. Price breaking below this level would invalidate the bullish thesis.
For Short Trades: The most recent swing high becomes the stop loss level. Price breaking above this level would invalidate the bearish thesis.
The swing detection lookback period is configurable, allowing you to adjust sensitivity based on your trading timeframe and style.
It automatically adjusts the tp and sl when it is applied to your chart so it is always moving up and down!
Risk/Reward Calculation
Once swing levels are identified, the indicator calculates:
Entry Price: Current close price (where you would enter)
Stop Loss: Recent swing low (for longs) or swing high (for shorts)
Risk: Distance from entry to stop loss
Take Profit: Entry plus (Risk × Target Multiplier)
R:R Ratio: Reward divided by Risk
The R:R ratio is then evaluated against your configured thresholds to determine if the setup is valid, marginal, or poor.
Visual Elements
SL/TP Zones
When enabled, the indicator draws colored boxes on the chart showing:
Red Zone: Stop Loss area - the region between your entry and stop loss
Green/Gold/Red Zone: Take Profit area - colored based on R:R quality
The color coding provides instant visual feedback:
Green: R:R meets or exceeds your "Good R:R" threshold (default 3:1)
Gold: R:R meets minimum threshold but below "Good" (between 2:1 and 3:1)
Red: R:R below minimum threshold - setup should be avoided
Swing Point Markers
Small circles mark detected swing points on the chart:
Green circles: Swing lows (potential support / long SL levels)
Red circles: Swing highs (potential resistance / short SL levels)
Dashboard Panel
The dashboard in the top-right corner displays comprehensive trade planning information:
R:R Row: Current Risk-to-Reward ratio for long and short setups
Status Row: VALID, OK, BAD, or N/A based on R:R thresholds
Stop Loss Row: Exact price level for stop loss placement
Take Profit Row: Exact price level for take profit placement
Pos Size Row: Recommended position size based on your risk parameters
Risk $ Row: Dollar amount at risk per trade
Position Sizing Logic
The indicator calculates position size using the formula:
Position Size = Risk Amount / Risk per Unit
Where:
Risk Amount = Account Size × (Risk Percentage / 100)
Risk per Unit = Entry Price - Stop Loss Price
For example, with a $10,000 account risking 1% per trade ($100), if your entry is at 100 and stop loss at 98 (risk of 2 per unit), your position size would be 50 units.
Input Parameters
Swing Detection:
Swing Lookback: Number of bars to look back for pivot detection (default: 10). Higher values find more significant swing points but may be slower to update.
Target Multiplier: Multiplier applied to risk to calculate take profit distance (default: 2). A value of 2 means TP is 2× the distance of SL from entry.
Risk/Reward Thresholds:
Minimum R:R: Minimum acceptable Risk-to-Reward ratio (default: 2.0). Setups below this show as "BAD" in red.
Good R:R: Threshold for excellent setups (default: 3.0). Setups at or above this show as "VALID" in green.
Account Settings:
Account Size ($): Your trading account size in dollars (default: 10,000). Used for position sizing calculations.
Risk Per Trade (%): Percentage of account to risk per trade (default: 1.0%). Professional traders typically risk 0.5-2% per trade.
Display:
Show SL/TP Zones: Toggle visibility of the colored zone boxes on chart (default: enabled)
Show Dashboard: Toggle visibility of the information panel (default: enabled)
Analyze Direction: Choose to analyze Long only, Short only, or Both directions (default: Both)
How to Use This Indicator
Basic Workflow:
Add the indicator to your chart
Configure your account size and risk percentage in the settings
Set your minimum and good R:R thresholds based on your trading rules
Look at the dashboard to see current R:R for potential long and short entries
Only consider trades where the status shows "VALID" or at minimum "OK"
Use the displayed SL and TP levels for your order placement
Use the position size recommendation to determine lot/contract size
Interpreting the Dashboard:
VALID (Green): Excellent setup - R:R meets your "Good" threshold. This is the ideal scenario for taking a trade.
OK (Gold): Acceptable setup - R:R meets minimum but isn't optimal. Consider taking if other confluence factors align.
BAD (Red): Poor setup - R:R below minimum threshold. Avoid this trade or wait for better entry.
N/A (Gray): Cannot calculate - usually means no valid swing point detected yet.
Best Practices:
Use this indicator as a filter, not a signal generator. It tells you IF a trade makes sense, not WHEN to enter.
Combine with your existing entry strategy - use Account Guardian to validate setups from other analysis.
Adjust the swing lookback based on your timeframe. Lower timeframes may need smaller lookback values.
Be honest with your account size input - accurate position sizing requires accurate inputs.
Consider the target multiplier carefully. Higher multipliers mean larger potential reward but lower probability of hitting TP.
Alerts
The indicator includes four alert conditions:
Good Long Setup: Triggers when long R:R reaches or exceeds your "Good R:R" threshold
Good Short Setup: Triggers when short R:R reaches or exceeds your "Good R:R" threshold
Bad Long Setup: Triggers when long R:R falls below your minimum threshold
Bad Short Setup: Triggers when short R:R falls below your minimum threshold
These alerts can help you monitor multiple charts and get notified when favorable setups appear.
Technical Implementation
The indicator is built using Pine Script v6 and includes:
Pivot-based swing detection using ta.pivothigh() and ta.pivotlow()
Dynamic box drawing for visual SL/TP zones
Table-based dashboard for clean information display
Color-coded visual feedback system
Persistent variable tracking for swing levels
Code Structure:
// Swing Detection
float swingHi = ta.pivothigh(high, swingLen, swingLen)
float swingLo = ta.pivotlow(low, swingLen, swingLen)
// R:R Calculation for Long
float longSL = recentSwingLo
float longRisk = entry - longSL
float longTP = entry + (longRisk * targetMult)
float longRR = (longTP - entry) / longRisk
// Position Sizing
float riskAmount = accountSize * (riskPct / 100)
float posSize = riskAmount / longRisk
Limitations
The indicator uses historical swing points which may not always represent optimal SL placement for your specific strategy
Position sizing assumes you can trade fractional units - adjust accordingly for instruments with minimum lot sizes
R:R calculations assume linear price movement and don't account for gaps or slippage
The indicator doesn't predict price direction - it only evaluates the mathematical viability of a setup
Swing detection has inherent lag due to the lookback period required for pivot confirmation
Recommended Settings by Trading Style
Scalping (1-5 minute charts):
Swing Lookback: 5-8
Target Multiplier: 1-2
Minimum R:R: 1.5
Good R:R: 2.0
Day Trading (15-60 minute charts):
Swing Lookback: 8-12
Target Multiplier: 2
Minimum R:R: 2.0
Good R:R: 3.0
Swing Trading (4H-Daily charts):
Swing Lookback: 10-20
Target Multiplier: 2-3
Minimum R:R: 2.5
Good R:R: 4.0
Why Risk/Reward Matters
Many traders focus solely on win rate, but profitability depends on the combination of win rate AND risk/reward ratio. Consider these scenarios:
50% win rate with 1:1 R:R = Breakeven (before costs)
50% win rate with 2:1 R:R = Profitable
40% win rate with 3:1 R:R = Profitable
60% win rate with 1:2 R:R = Losing money
Account Guardian helps ensure you only take trades where the math works in your favor, even if you're wrong more often than you're right.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation.
Trading involves substantial risk of loss and is not suitable for all investors. The calculations provided by this indicator are based on historical price data and mathematical formulas that may not accurately predict future price movements.
Position sizing recommendations are estimates based on user inputs and should be verified before placing actual trades. Always consider factors such as leverage, margin requirements, and broker-specific rules when determining actual position sizes.
The Risk-to-Reward ratios displayed are theoretical calculations based on swing point detection. Actual trade outcomes will vary based on market conditions, execution quality, and other factors not captured by this indicator.
Past performance does not guarantee future results. Users should thoroughly test any trading approach in a demo environment before risking real capital. The authors and publishers of this indicator are not responsible for any losses or damages arising from its use.
Always consult with a qualified financial advisor before making investment decisions.
GEMINI Advanced SMA with Trend & AlertsDescription:
This indicator is a professional Trend & Signal analysis tool designed to help traders identify market direction, entries, and momentum strength at a glance. It combines a customizable dual Moving Average system with an advanced real-time Information Dashboard.
The script is built to keep charts clean while providing maximum data through the on-screen panel.
📈 Key Features
1. Dual Moving Average System
Fast MA (Signal Line): Acts as the primary trigger for entries.
Slow MA (Trend Baseline): Filters the overall market direction.
Visual Cloud: The area between the two MAs is filled with color (Green/Red) to visualize the trend strength and potential support/resistance zones.
Flexibility: You can choose between SMA, EMA, HMA, WMA, or RMA for both lines independently.
2. Professional Data Dashboard A customizable table positioned on your chart provides real-time analytics:
Price Action: Immediate Bullish/Bearish status.
MA Status: Shows if the Fast and Slow MAs are currently Rising or Falling.
Exact Levels: Displays the precise price values of the MAs.
Spread Analysis: Monitors the gap between the Fast and Slow MA ("Expanding" vs "Squeezing") to help identify momentum acceleration or exhaustion.
3. Signals & Alerts
BUY Signal: Generated when the Price crosses OVER the Fast MA.
SELL Signal: Generated when the Price crosses UNDER the Fast MA.
Alerts: Fully compatible with TradingView alerts for automation.
4. Multi-Timeframe (MTF) Support You can calculate the Moving Averages based on a higher timeframe (e.g., viewing 4-hour MAs while trading on a 15-minute chart) to stay aligned with the macro trend.
🛠 How to Use
Trend Identification: Look at the "Cloud" color. Green indicates an uptrend context; Red indicates a downtrend context.
Entry Points: Use the "BUY" and "SELL" labels.
Pro Tip: Take BUY signals only when the Cloud is Green (trading with the trend).
Pro Tip: Take SELL signals only when the Cloud is Red.
Momentum Check: Use the Dashboard to see if the Spread is "EXPANDING" (strong momentum) or "SQUEEZING" (potential consolidation or reversal).
⚙️ Settings
Fast/Slow Length & Type: Fully customizable periods and MA types.
MTF: Enable/Disable higher timeframe calculations.
Dashboard: You can toggle the table visibility, change its size (Tiny, Small, Normal, Large), and move it to any corner of the screen.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice.
Trend Dip-BuyerThis strategy is a simplified, high-probability Dip Buying System designed for active growth stocks. Instead of chasing breakouts at the top, it waits for the stock to take a "breather" (pullback) within an uptrend and buys the discount.
It combines a classic Trend Filter (50 EMA) with a sensitive Momentum Oscillator (RSI 2) to pinpoint the exact moment a pullback is likely to reverse back up.
How It Works:
1. The Trend Filter (50 EMA)
The strategy ONLY trades Long.
It requires the price to be above the 50-period Exponential Moving Average (EMA) (Blue Line). This ensures you are trading with the momentum of the market, not against it.
2. The Dip Signal (RSI 2)
It uses a fast 2-period RSI.
When RSI(2) drops below 50, it signals that the stock is temporarily "oversold" or resting. This is your cue that a discount entry is available.
3. Dynamic Exits
Profit Taking: The primary target is dynamic. The strategy looks to exit when RSI(2) spikes above 70, allowing you to capture the bulk of the momentum swing. (A fixed ATR target option is also included).
Safety: A 3x ATR Stop Loss protects the trade from sudden reversals.
✅ Simple Entry Checklist
Before taking a trade, ensure all 3 boxes are checked:
Trend Check: Is the current price ABOVE the Blue Line (50 EMA)?
Dip Check: Is the RSI (2) value BELOW 50?
Time Check: Is it past 12:00 PM? (Recommended for cleaner trends, but optional).
👉 If YES to all: Enter Long on the next candle open.
Best Settings (Customizable):
RSI Threshold: Default is 50 (Balanced). Lower to 30 for fewer, higher-quality trades.
Exit Method: "RSI > 70" is recommended for maximizing wins in strong trends.
Time Filter: "Trade > 12pm" is enabled by default to avoid morning volatility.
The Strat Candle Types (1 / 2U / 2D / 3)This script uses TheStrat candle numbers 1, 2D, 2U, 3 and places the text below or above. You can also change the text size. This also allows you to change the colors of the candles with two options for the 1 & 3 so you can color them in the direction they are going. For example a 1 that is green can be green and a 1 that is red can be red.
Anurag Institutional Swing Trader Pro [Robust]nstitutional Swing Flow is a comprehensive, multi-timeframe system designed for swing traders who want to align with "Smart Money" rather than fight against it.
Unlike standard indicators that rely solely on price crossovers, this script analyzes the underlying order flow—tracking stealth accumulation, volume anomalies, and institutional footprints—to generate high-probability swing setups.
Key Features (The "Smart Money" Logic)
1. Institutional Footprints
Stealth Accumulation/Distribution: Detects when price is held in a tight range despite high volume (a classic sign of institutions building a position).
Smart Money Divergence: Identifies when price makes a lower low but Money Flow (OBV/Accumulation-Distribution) makes a higher high.
Fair Value Gaps (FVG): Automatically plots Bullish and Bearish imbalance zones where price is likely to retrace before continuing the trend.
2. Safety First (Risk Management)
Real Earnings Detection: Automatically checks upcoming earnings dates. If an earnings report is within 5 days (adjustable), the script blocks new signals to prevent gambling on binary events.
Visual Exits: Plots dynamic Stop Loss and Take Profit levels on the chart the moment a trade is taken, along with "SL Hit" or "TP Hit" markers for visual backtesting.
3. The "Confluence Score" Dashboard A sophisticated dashboard in the top-right corner rates every setup on a scale of 0 to 100 based on:
Multi-Timeframe Trend: Is the Weekly, Daily, and 4H trend aligned?
Relative Strength: Is the asset outperforming the SPY benchmark?
Volatility: Is the asset in a "Squeeze" (Bollinger Band compression)?
Momentum: RSI, MACD, and CMF confirmation.
Only setups with a score > 65 (adjustable) trigger a BUY or SELL signal.
How to Use
Timeframe: Optimized for 4-Hour (4H) and Daily (D) charts. (Avoid using on <15m charts due to multi-timeframe calculations).
The Signal: Wait for a large "CALL" or "PUT" label.
The Confirmation: Check the Dashboard. Ideally, look for a "Squeeze: YES" combined with a high Institutional Buy Score.
The Exit: Follow the Red (Stop Loss) and Green (Take Profit) lines plotted automatically.
Disclaimer
This tool is for educational purposes only. Swing trading involves risk. Always confirm signals with your own analysis and risk management rules.
SpectreSPECTRE - Precision Reversal Detection System
OVERVIEW
Spectre is a channel breakout indicator designed to identify high-probability reversal points by combining Donchian channel breaches with momentum confirmation. It generates BUY signals at oversold extremes and SELL signals at overbought extremes, filtered by trend strength to avoid low-conviction setups.
This indicator replaces the Regime Engine, which will continue to evolve independently as an experimental platform for testing new strategies and enhancements. Spectre was selected as the production replacement based on extensive backtesting across multiple assets and timeframes, which demonstrated superior win rates compared to alternative sell logic approaches (RSI-based exits outperformed CMO-based exits in 13 of 18 test configurations).
SIGNAL LOGIC
BUY CONDITIONS (all must be true):
Price touches or breaks below Donchian lower band
RSI is at or below oversold threshold (default: 35)
ADX confirms sufficient trend strength (default: ≥22)
BBWP confirms adequate volatility (default: ≥20%)
Cooldown period has elapsed since last buy
Cascade limit not reached
SELL CONDITIONS (all must be true):
Price touches or breaks above Donchian upper band
RSI is at or above overbought threshold (default: 70)
ADX confirms sufficient trend strength (default: ≥22)
BBWP confirms adequate volatility (default: ≥20%)
Cooldown period has elapsed since last sell
Cascade limit not reached
Price is not underwater (if protection enabled)
KEY FEATURES
NON-REPAINTING DONCHIAN CHANNELS
Uses previous bar's high/low extremes to prevent signal repainting. What you see in history is what you would have seen in real-time.
MULTI-FACTOR CONFIRMATION
Signals require agreement between price action (Donchian), momentum (RSI), and trend strength (ADX) to filter out low-quality setups.
VOLATILITY FILTER (BBWP)
Bollinger Band Width Percentile measures current volatility relative to historical norms. Low BBWP indicates compressed ranges where breakouts are less reliable - signals are blocked until volatility returns.
CASCADE PROTECTION
Limits consecutive signals in the same direction to prevent overexposure during extended trends. Resets when a signal fires in the opposite direction.
UNDERWATER PROTECTION (Unique to Spectre)
Tracks average entry price of recent buys and blocks sell signals when price has fallen significantly below this level. This prevents locking in large losses during drawdowns and allows positions to recover before exiting.
REGIME DETECTION
Visual background shading indicates current market regime based on Directional Indicator spread and On-Balance Volume trend. Green indicates bullish regime (+DI > -DI, OBV rising). Red indicates bearish regime (-DI > +DI, OBV falling). White/Gray indicates neutral or ranging conditions.
RECOMMENDED SETTINGS BY TIMEFRAME
For 5-minute charts, use RSI Buy 30-35, RSI Sell 70-75, ADX 20-24.
For 15-minute charts, use RSI Buy 30-35, RSI Sell 68-72, ADX 22-26.
For 30-minute charts (default), use RSI Buy 32-38, RSI Sell 68-72, ADX 22-26.
For 1-hour charts, use RSI Buy 35-40, RSI Sell 65-70, ADX 20-24.
For 4-hour charts, use RSI Buy 35-40, RSI Sell 65-70, ADX 18-22.
These are starting points - optimize for your specific assets.
INFO PANEL GUIDE
Regime shows current market bias (Bullish/Bearish/Neutral). RSI shows current value with buy/sell threshold status. ADX shows trend strength categorized as Weak (<15), Range (15-24), Trend (24-34), or Strong (>34). BBWP shows volatility percentile with a warning symbol when below minimum. Donchian shows price position relative to channel bands. Avg Buy shows average entry price and underwater status. Cascade shows current consecutive signal counts versus limits.
USAGE TIPS
Works best in ranging or mean-reverting markets
Reduce RSI thresholds in strong trends (tighter = fewer signals)
Increase ADX minimum in choppy markets to filter noise
Enable underwater protection for swing trading, disable for scalping
Use regime background to contextualize signals (buy in green, sell in red)
Combine with support/resistance levels for additional confirmation
Gann Octave Pro - Angles & Time Cycles 🎯 Gann Octave Pro - Angles & Time Cycles
## Complete Gann Trading System - Price, Angles & Time in One Indicator
A professional-grade Gann analysis tool combining **Octave Price Levels**, **Gann Angles (1x1, 2x1, 1x2)**, and **Advanced Time Cycle Projections**. Perfect for traders seeking precision market timing through geometric confluence.
---
## 🌟 Key Features
### 📐 Octave Price Levels
- **5 Key Levels**: 0%, 25%, 50%, 75%, 100%
- **Color-Coded**: Green (support) → Blue (50% pivot) → Red (resistance) → Black (boundaries)
- **Dynamic Updates**: Auto-adjusts to swing structure
- **Trading Edge**: 50% level is the most powerful reversal zone
### 📏 Gann Angles
- **1x1 Angle** (Black) - Natural 45° trend line
- **2x1 Angle** (Red) - Steep acceleration zone
- **1x2 Angle** (Red) - Gradual support/resistance
- **Customizable Extension**: Fixed bars or % of swing length
### ⏰ Advanced Time Cycles
**Three Calculation Methods:**
1. **Angle-Level Confluence** ⭐ (Recommended)
- Calculates intersections of Gann angles with octave levels
- Most sophisticated timing system
- Based on price-time geometry
2. **Swing Duration** - Uses actual swing bar length
3. **Harmonic (Swing/8)** - Classic Gann harmonic division
**Cycle Visualization:**
- **Full Cycles** (Purple, solid) - Major turning points, labeled "◆ FC1 (176 bars) "
- **Sub-Cycles** (Blue, dotted) - Minor pivots, labeled "S1 "
- **Mid-Cycles** (Orange, dashed) - Half-cycle inflection points
- **Past Display**: Shows 4 complete past cycles for validation
- **Future Projection**: Projects 8 future cycles for anticipation
---
## 🎯 How to Use
### Quick Start
1. Apply to chart (works all timeframes/instruments)
2. Select period: Default 44 bars (adjust based on timeframe)
3. Choose cycle method: "Angle-Level Confluence" for best results
4. Observe past cycles to validate timing accuracy
### Trading Strategies
**Triple Confluence Setup** (Highest Probability)
- Price at octave level (especially 50%)
- Price touches Gann angle (1x1 most reliable)
- Time cycle arrives (full cycle preferred)
- **Entry**: On confluence | **Stop**: Below/above octave level | **Target**: Next level
**Cycle Anticipation**
- Enter 1-2 bars before cycle line if price at octave level
- Exit at next cycle or target octave level
- **Edge**: Anticipate cycles instead of reacting
**Angle Breakout + Cycle**
- Price breaks 1x1 angle + next cycle within 20 bars
- Hold through cycle, exit at 2x1 angle or next major level
---
## ⚙️ Customization
### Period Selection (88-Based)
11 harmonic options: 3, 6, 11, 22, **44**, 88, 176, 352, 704, 1408, 2816 bars
- **Intraday** (15m-1h): Period 3-4
- **Swing Trading** (4h-Daily): Period 4-5
- **Position Trading** (Daily-Weekly): Period 5-6
### Visual Controls
- **Colors**: Independent for all elements
- **Line Widths**: Separate controls (1-5) for levels, angles, cycles
- **Label Size**: Tiny/Small/Normal/Large (unified)
- **Label Position**: Top/Middle/Bottom
- **Show/Hide**: Toggle any component
### Alerts
- 50% octave level breakouts
- Customizable messages
---
## 💡 Pro Tips
1. **Validate First**: Observe 2-3 past cycles before trading
2. **Adjust to Volatility**: High volatility = lower period (22-44), Low = higher (88-176)
3. **Multiple Timeframes**: Apply on different timeframes for confirmation
4. **Respect 50% Level**: Most powerful reversal zone in Gann theory
5. **Focus on Full Cycles**: Highest probability setups (◆ FC markers)
6. **Combine with Price Action**: Indicator shows WHERE/WHEN, price action shows HOW
---
## 🚀 What Makes It Unique
✅ **Intelligent Confluence Cycles** - Unique angle-level intersection calculation
✅ **Historical Validation** - See past cycles to trust future projections
✅ **Professional Design** - Color-coded hierarchy, clean labels, no clutter
✅ **Complete Automation** - Everything updates in real-time
✅ **Three-Dimensional Analysis** - Price + Angles + Time = complete picture
---
## 📊 Best Markets
- Stock indices (S&P 500, NASDAQ, Dow)
- Forex majors (EUR/USD, GBP/USD, USD/JPY)
- Commodities (Gold, Silver, Oil)
- Crypto (BTC, ETH)
- Liquid stocks
✅ Complete Gann system (price + angles + time)
✅ 3 time cycle methods
✅ Auto swing detection
✅ 4 past + 8 future cycle projections
✅ Professional visualization
✅ Extensive customization
✅ Real-time alerts
✅ Works all markets/timeframes
---
## ⚠️ Disclaimer
This indicator is for educational purposes and applies W.D. Gann methodology principles. Not financial advice. Always use proper risk management, position sizing, and stop losses. Practice on paper before live trading. Past performance doesn't guarantee future results.
---
**The market moves in patterns of price and time. This indicator helps you see them.**
Trade with geometry. Trade with time. Trade with confidence.
MSO - Market Stress Oscillator [WavesUnchained]MSO - Market Stress Oscillator
Bidirectional stress oscillator built on WVF + Z-score, with JMA/ADX filters, regime bias, and validated follow-through. Designed to expose downside panic vs upside euphoria and measure whether the market accepts or rejects each stress event.
Quick Setup
- Stress Color Mode : Intuitive (Downside=green, Upside=red) or Technical (classic colors).
CORE CONCEPT
- Downside stress : price flushes below WVF baseline (panic)
- Upside stress : price stretches above WVF baseline (euphoria)
- Stress is normalized via Z-score for cross-asset/timeframe robustness
ENGINE (BI-WVF + Z-SCORE)
- WVF Long and Short computed separately (panic vs euphoria)
- Z-score window normalizes extremes
- Thresholds are TF-aware (15m / 1h / 4h / D / W / M)
QUALITY FILTERS
- JMA trend filter (slope-based, low-lag)
- ADX minimum for trend strength
- Min Extreme Duration to avoid 1-bar noise
- Cooldown to prevent signal clustering
ACCEPT / REJECT LOGIC
- Events are evaluated after reactBars (forward follow-through)
- Accepted : follow-through >= minFollowATR
- Rejected : follow-through < minFollowATR
- Scores (0..1) optionally plotted as acceptance strength
BIAS / REGIME CONTEXT
- Bias line : zL - zS (who dominates)
- Bias band : regime threshold (only meaningful outside band)
- HTF Wind : higher-timeframe bias flip (JMA smoothed)
- Clarity Label : regime entry aligned with HTF + absBias threshold
VISUALIZATION
- Stress Lines : Red = downside stress (panic), Green = upside stress (euphoria)
- Bias Line : zL - zS (who dominates). Neutral inside band, colored outside.
- Bias Band : regime threshold. Fill shows when bias is usable.
- Zones : boxes at peak events (history preserved, FIFO capped)
- Chart Labels : DA/DR/UA/UR (or LA/LR/SA/SR) at peaks
- Lines : reaction window + peak level lines (FIFO capped)
STRESS COLOR MODE
- Intuitive : Downside stress = green, Upside stress = red (opportunity mapping)
- Technical : Downside stress = red, Upside stress = green (classic convention)
- This setting is visual only ; logic, bias, and signals are unchanged
HOW TO USE
1. Read the stress lines : red spikes = panic risk, green spikes = euphoria risk.
2. Check bias : outside the band = usable regime; inside = noise.
3. Use DA/DR/UA/UR :
- DA/UA = stress accepted (follow-through confirmed)
- DR/UR = stress rejected (weak follow-through)
4. Add HTF wind : prefer signals aligned with HTF bias.
5. Tune presets by TF; use manual TF override for testing.
PRESETS & UI
- Full TF preset table (15m / 1h / 4h / D / W / M)
- Manual TF override for testing
- Preset summary panel (optional)
LOGGING (CSV)
- Pivot and stress logs for validation
- Early/First-pivot classification options
- Label IDs included for chart-to-log tracing
BEST USE CASES
- Panic/euphoria detection with follow-through validation
- Regime-aware context (bias + HTF wind)
- Multi-timeframe stress mapping (15m to Weekly)
Version: 1.0.0
Author: WavesUnchained
Pine Script: v6
Educational use only. Test thoroughly before live trading.
NQ Hourly Retracements - 12y Stats with LevelsHour Stats with Levels - TradingView Indicator Description
IMPORTANT: NQ FUTURES ONLY
This indicator is specifically designed for and calibrated to NQ (Nasdaq-100 E-mini) futures only. The statistical data is derived exclusively from 13 years of NQ price action (2013-2025). Do not use this indicator on any other asset, ticker, or market as the statistics will not be applicable and may lead to incorrect trading decisions.
Overview
"Hour Stats with Levels" is a statistical analysis indicator that provides real-time probability-based insights into hourly price behavior patterns. The indicator combines historical pattern recognition with live price action to help traders anticipate potential sweep and reversal scenarios within each trading hour.
Originality and Core Concept
This indicator is based on a comprehensive statistical analysis of 12y years of 1-minute NQ futures data, examining a specific price pattern: when an hourly candle opens inside the previous hour's range. Unlike generic support/resistance indicators, this tool provides hour-specific, context-aware probabilities based on 30,000+ historical occurrences of this pattern.
The originality lies in three key areas:
Pattern-Specific Statistics: Rather than applying generic technical analysis, the indicator only activates when the current hour opens within the previous hour's range, providing relevant statistics for this exact scenario.
Context-Aware Probabilities: Statistics are differentiated based on whether the current hour opened above or below the previous hour's open, recognizing that bullish and bearish opening contexts produce different behavioral patterns.
Comprehensive Retracement Tracking: The indicator tracks four independent retracement levels after a sweep occurs, showing the probability of price returning to: the swept level itself (90+% probability), the 50% level, the current hour's open, and the opposite extreme.
How It Works
The Core Pattern
The indicator monitors a specific price structure:
Setup Condition: The current hourly candle opens inside (between) the previous hour's high and low
Sweep Event: Price then breaks above the previous high (high sweep) or below the previous low (low sweep)
Retracement Analysis: After a sweep, the indicator tracks whether price retraces to key levels
Statistical Foundation
The underlying analysis processed 1-minute bar data from 2013-2025, identifying every instance where an hourly candle opened inside the previous hour's range. For each occurrence, the system tracked:
Whether the high, low, or both were swept during that hour
The distance of the sweep measured as a percentage of the previous hour's range
Whether price retraced to four key levels: the swept level, the 50% point, the current open, and the opposite extreme
These measurements were aggregated for all 24 hours of the trading day, with separate statistics for bullish contexts (opening above previous open) and bearish contexts (opening below previous open), creating 48 unique statistical profiles.
Sweep Distance Percentiles
The "reversal levels" are drawn based on historical sweep distance distributions:
25th Percentile: 75% of historical sweeps were larger than this distance. This represents a conservative reversal zone where smaller, contained sweeps typically reverse.
Median (50th Percentile): The midpoint of all historical sweep distances. Half of all sweeps reversed before reaching this level, half extended beyond it.
75th Percentile: Only 25% of sweeps extended beyond this distance. This represents an extended sweep zone where price has historically shown exhaustion.
For example, if the previous hour's range was 20 points and the median high sweep distance is 40% of range, the median reversal level would be placed 8 points above the previous high.
How to Use the Indicator
Sweeps were calculated using 1m data - as such, it's recommended to use the indicator on a 1min chart
Visual Components
Hour Delimiter (Gray Vertical Line)
Marks the start of each new hour
Helps identify when new statistics become active
Sweep Markers
Green "H" label: High sweep has occurred this hour
Red "L" label: Low sweep has occurred this hour
Markers appear on the exact bar where the sweep happened
Target Levels (Blue Lines)
Prev Open: Previous hour's opening price
Prev High: Previous hour's highest price (sweep target)
Prev Low: Previous hour's lowest price (sweep target)
Prev 50%: Midpoint of previous hour's range
Current Open: Current hour's opening price (key retracement target)
Reversal Levels (Purple Dashed Lines)
Positioned beyond the previous high/low based on historical sweep percentiles
Three levels above previous high (for high sweeps)
Three levels below previous low (for low sweeps)
These represent statistically-derived zones where sweeps typically exhaust
The Statistics Table
The table dynamically updates each hour and displays different statistics based on whether the current hour opened above or below the previous hour's open.
Status Row
Shows current state: waiting for sweep, or which sweep(s) have occurred
If waiting, indicates which sweep is more probable based on historical data
SWEEP PROBABILITIES Section
High Sweep: Historical probability (%) that price will sweep the previous high this hour
Low Sweep: Historical probability (%) that price will sweep the previous low this hour
Both Sweeps: Historical probability (%) that price will sweep both levels this hour
These probabilities are derived from counting how many times each pattern occurred in similar historical contexts. For example, "High Sweep: 73.18%" means that in 73.18% of historical occurrences where the hour opened in this same context (same hour of day, same position relative to previous open), price swept the previous high before the hour closed.
AFTER HIGH SWEEP → Section
These statistics activate only after a high sweep has occurred. They show the probability of price retracing to various levels:
→ Prev High: Probability that price returns to (or below) the level it just swept. This is typically 90%+ because sweeps often act as "false breakouts" or liquidity grabs before reversal.
→ 50% Level: Probability that price retraces at least halfway back into the previous hour's range. This represents a moderate retracement.
→ Current Open: Probability that price retraces all the way back to where the current hour opened. This indicates a complete reversal of the sweep move.
→ Prev Low: Probability that price retraces entirely through the previous range to touch the opposite extreme. This represents a full reversal pattern.
AFTER LOW SWEEP → Section
Mirror of the above, but for low sweeps:
→ Prev Low: Retracement to the swept low level (90%+ probability)
→ 50% Level: Retracement to middle of range
→ Current Open: Full retracement to current hour's open
→ Prev High: Complete reversal to opposite extreme
Important Note on Retracement Statistics: These percentages are tracked independently. A 90% probability of returning to the swept level doesn't mean there's only a 10% chance of deeper retracement. Price can (and often does) retrace through multiple levels sequentially. The percentages show how many times price reached at least that level, not where it stopped.
Trading Applications
Anticipating Sweeps
When an hour opens inside the previous range, check the probabilities. If "High Sweep: 70%" and "Low Sweep: 30%", you know there's a 70% historical likelihood of an upside sweep occurring this hour. This doesn't guarantee it will happen, but provides statistical context for potential setups.
Reversal Trading
The most reliable pattern in the data is the 90%+ retracement probability to swept levels. When a sweep occurs, traders can anticipate a retracement back to at least the swept level in the vast majority of cases. The reversal level percentiles help identify where sweeps may exhaust.
Position Management
The retracement probabilities help manage existing positions. For example, if you're long and a high sweep occurs, you know there's a 90%+ chance of at least some retracement to the swept level, which might inform profit-taking or stop-loss decisions.
Confluence with Current Open
The "Current Open" retracement statistics (typically 60-70%) highlight the magnetic quality of the hour's opening price. After a sweep, price frequently returns to test this level.
Customization Options
The indicator offers extensive visual customization:
Toggle on/off: hour delimiters, sweep markers, target levels, reversal levels, statistics table
Customize colors, line widths, and styles for all visual elements
Adjust label sizes and table position
Show/hide individual target levels and reversal percentiles
Limitations and Considerations
Pattern-Specific: The indicator only provides statistics when the current hour opens inside the previous hour's range. If the hour opens outside this range (gaps up or down), the statistics are not applicable.
Historical Probabilities: The percentages represent historical frequencies, not predictions. A 70% probability means it happened 70% of the time historically, not that it will definitely happen 7 out of 10 times going forward.
NQ-Specific Calibration: All statistics are derived from NQ futures data. Market behavior, volatility, and patterns differ across assets.
Hour-Specific Behavior: Different hours show dramatically different statistics. For example, the 9 AM EST hour (market open) shows much higher sweep probabilities (80%+) than the 5 PM EST hour (30-50%) due to differing liquidity and volatility conditions.
No Guarantee of Execution: While a 90% retracement probability is high, it means 10% of the time, price did NOT retrace. Always use proper risk management.
Technical Notes
The indicator uses hourly timeframe data via request.security() to determine previous hour values
Sweep detection occurs in real-time on the chart's timeframe
Statistics are hardcoded from the comprehensive backtested analysis (not calculated on-the-fly)
The indicator stores static values at the start of each hour to ensure consistency as the hour progresses
All percentage values are rounded to one decimal place for clarity
This indicator provides a statistically-grounded framework for understanding hourly price behavior in NQ futures. By combining real-time pattern detection with comprehensive historical analysis, it offers traders probabilistic insights to inform decision-making process within the specific context of each trading hour.
RSI Divergence + MTF Table + Price Wicks Lines - V2This script combines a classic RSI divergence indicator with a multi–timeframe RSI dashboard.
Main features:
Detects and plots:
Regular bullish & bearish RSI divergence
Hidden bullish & hidden bearish RSI divergence
Dynamic RSI line color:
Green in strong bullish zone
Red in strong bearish zone
Yellow in neutral zone
Standard RSI levels:
70 / 30 overbought–oversold
50 midline with highlighted band
MTF RSI table:
Compact RSI dashboard on the right side of the chart
Timeframes: 1m, 5m, 15m, 30m, 1h, 4h, 8h, 12h, 1D (each can be turned on/off)
Background color highlights extreme RSI:
Red / orange for overbought
Lime for oversold
This tool is designed to help traders quickly see divergence signals on the current chart while also monitoring RSI conditions across multiple timeframes in one place.
TRADING NAVIGATOR📘 TRADING NAVIGATOR OPERATIONS MANUAL
This manual is designed to turn the script into your complete trading plan.
1. The Golden Rule: Planetary Alignment
Success with this script is not about trading every signal, but waiting for the confluence. Golden Trick: Do not trade on low timeframes (15M) if the trend on the higher timeframe (4H or D) is contrary. The Master Signal: Enter when the RELIABILITY column marks "HIGH" on at least 3 consecutive timeframes.
2. How to open a LONG (Buy) position: Look for these exact conditions on the board: TREND: It should say "BULLISH" (Price above the 200 EMA). ACTION: It should be marked LONG. ENTRY: The price should be near or touching the value indicated in the SUPPORT column. RSI: Ideally between 35 and 45 (healthy pullback) or crossing above 30. Execution: Place your limit order at the ENTRY price on the chart. The TP and SL are your mandatory exit coordinates.
3. How to open a SHORT (Sell) position: Look for these exact conditions on the board: TREND: It should say "BEARISH" (Price below the 200 EMA). ACTION: It should be marked SHORT. ENTRY: The price should be near or touching the value indicated in the RESIST column. (Resistance). RSI: Ideally between 55 and 65 or crossing below 70. Execution: Limit order at the ENTRY price on the chart. Don't chase the price; let it rise to the resistance to enter.
4. Golden Tricks to Gain Consistency: The Volatility Filter: If the VOLAT column shows "HIGH," reduce your position size by half. High volatility means sharp movements that can hit your SL before reaching the TP. The Timeframe Jump: If you see a LONG position on the 15M chart but the trend on the D (Daily) chart is BEARISH, that trade is high risk (pure Scalping). If both are BULLISH, you have a "High Probability Trade." RSI as a sentinel: If the RSI is at 50, the market is indecisive. Wait for it to approach the extremes (30 or 70) so that the Navigator's ACTION has more rebound strength.
5. Recommended Markets:
The TRADING NAVIGATOR is a structure and volatility algorithm, so it works where there is liquidity: Market | Effectiveness | Why |
Cryptocurrencies | ⭐⭐⭐⭐⭐ ATR volatility is best exploited in BTC and ETH. |
Indices (Nasdaq/SP500) | ⭐⭐⭐⭐ Ideal for following the TREND column (EMA 200). |
Forex (Majors) | ⭐⭐⭐ Use it on high-volume pairs (EURUSD, GBPUSD). |
Gold / Oil | ⭐⭐⭐⭐ Very sensitive to the support and resistance levels calculated by the script. |
6. Risk Management (Psychology) | Accepts Stop Loss: The script calculates the SL at 2.0x ATR to give the price "breathing room". If it is touched, the structure has been broken. Don't move the Stop Loss. Partial Taking: When the price has moved 50% of the way to the Take Profit, move your Stop Loss to the ENTRY (Breakeven) price. This ensures that the trade can no longer result in losses.
Harmonic Patterns [kingthies]Harmonic Patterns
This indicator scans price swings for classic X-A-B-C-D harmonic patterns and plots the structure plus a PRZ (Potential Reversal Zone) to help you frame areas where reactions are statistically more likely. It supports both bullish and bearish setups and can trigger alerts when a new D pivot confirms a pattern.
What it does
Builds a pivot-based swing map (ZigZag-style) using a configurable Pivot Length .
Evaluates the most recent 5 swing points (X, A, B, C, D) against harmonic ratio rules with a user-defined tolerance .
Detects: Gartley, Bat, Butterfly, Crab, Deep Crab, Cypher, Shark (loose) .
Draws the pattern legs (X-A-B-C-D), labels the detection with ratio readouts, and projects a PRZ using 3 target levels (derived from XA/BC logic per pattern).
Offers two rendering modes:
Best only : picks the closest match (lowest score) to reduce clutter.
Show all : plots every valid match (uses filled PRZ boxes to keep object usage under control).
PRZ (Potential Reversal Zone)
PRZ is built from three target levels and expanded into a zone.
Optional padding uses ATR (ATR multiplier) to widen/narrow the zone for volatility.
Display modes: Off, Box, Lines, Both .
Zones can be extended forward by a configurable number of bars to keep the area visible as price develops.
How to use
Start with Confirm only when D pivot forms enabled (recommended) to reduce false positives while patterns are still forming.
Adjust Pivot Length based on timeframe:
Lower values = more swings, more signals, more noise.
Higher values = cleaner structures, fewer signals.
Use Ratio Tolerance to control strictness:
Lower tolerance = fewer, higher-confidence matches.
Higher tolerance = more matches, potentially lower quality.
Treat harmonics as context , not a standalone entry system:
Look for confluence (HTF levels, structure, volume, momentum/RSI divergence, etc.).
Use your own confirmation and risk plan (invalidations beyond PRZ / beyond D).
Settings overview
Swings (Pivot ZigZag)
Pivot Length: pivot sensitivity.
Use Wicks: uses High/Low; if off, uses Close.
Max Stored Swings: limits stored pivots for performance/object control.
Harmonic Detection
Ratio Tolerance (%): allowed deviation around ideal ratios.
Confirm only when D pivot forms: reduces repaint-like behavior.
When multiple match: Best only vs Show all.
Pattern Filters enable/disable each pattern type.
PRZ
PRZ Display: Off / Box / Lines / Both.
PRZ Padding (ATR multiplier): volatility-adjusted zone padding.
PRZ Extend (bars): how far to project the zone.
Visuals
Draw Legs: draws X-A-B-C-D.
Show Pattern Label: prints pattern name, direction, ratios, and score.
Label Offset: shift label forward if you want more space.
Alerts
“Bullish/Bearish Harmonic (Any)” triggers on any detected pattern.
Per-pattern alerts are included for each supported pattern type.
Notes
This indicator is educational and intended to assist with pattern recognition and confluence mapping.
Harmonic patterns do not guarantee reversals—always manage risk and confirm with your own process.
MACDTraditional MACD
Used in Kinetic Momentum Theory
The histogram is 2 times higher than the Tradingview default MACD
Clock&Flow: Elements of Cycle Analysis 1st partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite
Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework.
The suite consists of two complementary modules:
🔹 ECA 1 – Cycles, Structure, and Volatility (Overlay: True)
ECA 1 is dedicated to the structural and temporal analysis of the market.
Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to:
Index: Standard quotes (e.g., Cash sessions).
Future: Extended quotes (24h).
50-200: Classic institutional references for the medium-long term.
ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions.
Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context.
Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions.
🔹 ECA 2 – Market Excesses, Strength, and Energy
ECA 2 analyzes how the market moves within the cyclic structure.
Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle.
Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed.
Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors:
Price Velocity
Normalized Volume
Volatility (ATR relative to price)
These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement.
Operational Convergence
The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase.
When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation.
Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction.
Entries should always be accompanied by proper risk management.
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Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa
Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo.
La suite è composta da due moduli complementari:
🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true)
ECA 1 è dedicato all’analisi strutturale e temporale del mercato.
SMA cicliche (ratio ciclica)
Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori).
Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo
Canali ciclici dinamici basati su ATR
I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR).
La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni.
Info Table e Quick Guide
Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso.
Time Bands (Weekly / Daily)
La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo.
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🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato
ECA 2 analizza come il mercato si muove all’interno della struttura ciclica.
Eccessi e divergenze (Stochastic ciclico)
Oscillatore calibrato sulla stessa ratio ciclica della suite.
Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo.
Directional Movement System (DMS)
L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione.
L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa.
Market Pulse – Energia reale del mercato
Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione:
velocità del prezzo
volume normalizzato
volatilità (ATR rapportato al prezzo)
I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce.
La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista.
Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento.
La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato.
Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa.
È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato.
I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni.
In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione.
Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
Gemini Smart SMA Pro + Wyckoff V2 (Enhanced Cloud)The Smart SMA Pro + Wyckoff V2 is an advanced trend-following and market-cycle indicator built for traders who utilize Wyckoff Theory and Volume Spread Analysis (VSA). It is specifically designed to identify the transition from "Cause" (Squeeze/Accumulation) to "Effect" (Expansion/Markup).
By analyzing the volatility spread between two customizable Moving Averages and validating movements with relative volume, this tool helps traders stay out of sideways markets and enter only when high-conviction momentum is present.
Key Features
Wyckoff Phase Detection: Automatically detects Squeeze (Accumulation/Distribution) and Expansion (Markup/Markdown) phases.
Intelligent Dynamic Cloud: The cloud between the MAs changes its transparency dynamically based on the Volume Ratio and trend slope. Darker colors indicate high-volume trend confirmation.
Dual-Layered SOS/SOW Signals: * SOS (Sign of Strength): A Yellow Dot appears on a bullish squeeze breakout. A Yellow Arrow is added only if the move is validated by High Relative Volume.
SOW (Sign of Weakness): An Orange Dot appears on a bearish breakout, with an Orange Arrow appearing only if supported by high volume.
Live Multi-Data Dashboard: A real-time table displaying the status of Fast/Slow MAs, the current market cycle stage, and the Volume Ratio.
Professional Alerts: Built-in alerts for Sign of Strength (SOS) and Sign of Weakness (SOW) breakouts.
How to Trade with it
Grey Cloud (Squeeze): Market is building a "Cause." Avoid trading and prepare for a breakout.
Yellow Dot + Arrow: This is a Confirmed SOS. It indicates institutional participation and a high probability of a new Markup phase.
Buy/Sell Labels: Standard trend entries based on price crossing the Signal Line (Fast MA). Use these to join an already established trend.
Dashboard Monitoring: Check the "Vol. Ratio" to see if the current move has enough strength to sustain the expansion.
How this Indicator was Created
This project is the result of a cutting-edge collaborative development process between a human trader and Gemini (Google’s AI).
Logic Synthesis: We combined traditional technical analysis with AI-optimized algorithms to calculate the Volatility Ratio, ensuring the "Squeeze" detection is more accurate than standard Bollinger-based tools.
Conditional Visuals: The logic was refined through multiple iterations to create a "Smart Visual" system. For instance, the Volume-Validated Arrow was an architectural decision to separate minor breakouts from high-conviction institutional moves.
Code Optimization: The entire script was written in Pine Script® V6, ensuring maximum performance, low latency on charts, and a clean, responsive Dashboard interface using advanced table objects.
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The Partnership: This indicator represents the perfect synergy between human market intuition and AI’s computational precision, resulting in a tool that is both mathematically sound and visually intuitive for professional use.
