Multi-EMA with ToggleMulti-EMA with ToggleMulti-EMA with ToggleMulti-EMA with ToggleMulti-EMA with ToggleMulti-EMA with ToggleMulti-EMA with ToggleMulti-EMA with ToggleMulti-EMA with Toggle
インジケーターとストラテジー
Real-Time Risk Calculator (v6) - FixedRisk calculator based on account size and a low of day stop loss
Crypto Mean Reversion System (Pullback & Bounce)Mean Reversion Theory
The indicator operates on the principle that extreme price movements in crypto markets tend to revert toward their mean over time.
Consider this a valuable aid for your dollar-cost averaging strategy, effectively identifying periods ripe for accumulating or divesting from the market.
Research shows that:
Short-term momentum often persists briefly after surges, but extreme moves trigger mean reversion
Sharp drops exhibit strong bounce patterns, especially after capitulation events
Longer timeframes (7-day) show stronger mean reversion tendencies than shorter ones (1-day)
Timeframe Analysis
1-Day Timeframe
Pullback probabilities: 45-85% depending on surge magnitude
Bounce probabilities: 55-95% depending on drop severity
Captures immediate overextension and panic selling
More volatile but faster signal generation
7-Day Timeframe
Pullback probabilities: 50-90% (higher confidence)
Bounce probabilities: 50-90% (slightly moderated)
Filters out noise and identifies sustained trends
Stronger mean reversion signals due to extended moves
Probability Tiers
Pullback Risk (After Surges)
Moderate (45-60%): 5-10% surge → Expected -3% to -12% pullback
High (55-70%): 10-15% surge → Expected -5% to -18% pullback
Very High (65-80%): 15-25% surge → Expected -10% to -25% pullback
Extreme (75-90%): 25%+ surge → Expected -15% to -40% pullback
Bounce Probability (After Drops)
Moderate (55-65%): -5% to -10% drop → Expected +3% to +10% bounce
High (65-75%): -10% to -15% drop → Expected +6% to +18% bounce
Very High (75-85%): -15% to -25% drop → Expected +10% to +30% bounce
Extreme (85-95%): -25%+ drop → Expected +18% to +45% bounce
The probability ranges are derived from:
Crypto volatility patterns: Higher volatility than traditional assets creates stronger mean reversion
Behavioral finance: Extreme moves trigger emotional trading (FOMO/panic) that reverses
Historical backtesting: Probability estimates based on typical reversion patterns in crypto markets
Timeframe correlation: Longer timeframes show increased reversion probability due to reduced noise
Key Features
Dual-direction signals: Identifies both overbought (pullback) and oversold (bounce) conditions
Multi-timeframe confirmation: 1D and 7D analysis for different trading styles
Customizable thresholds: Adjust sensitivity based on asset volatility
Visual alerts: Color-coded labels and table for quick assessment
Risk categorization: Clear severity levels for position sizing
特典インジケーター (ボリンジャーバンド+移動平均線)BTCやSP500向けのチャート解析ツールです。
- ボリンジャーバンド(オレンジ上下線、水色中央線)
- EMA5(青線)、EMA25(黄色線)、EMA200(赤線)
使い方のポイント
- トレンド判定: EMA200(赤)より上なら上昇基調、下なら下降基調が優勢。
- 短中期の勢い: EMA5(青)とEMA25(黄)のゴールデンクロス/デッドクロスで勢いの変化を確認。
- ボラティリティと逆張り: ボリンジャーバンドの上限/下限タッチは伸びの継続か反転の初動かを、中央線(基準・水色)復帰でフォロー確認。
- 時間軸: 1時間~4時間は短期、日足は中期のトレンド確認に適合。複数時間軸で整合性を取ると精度が上がります。
ツールの解説
ボリンジャーバンド(Bollinger Bands)
ボリンジャーバンドは、20期間の単純移動平均(SMA)を中央線とし、その上下に標準偏差×2のバンドを配置します。
- 上限バンド:相場の上振れが過熱している可能性を示すレジスタンスライン
- 下限バンド:相場の下振れが過冷却している可能性を示すサポートライン
- バンド幅の拡大:ボラティリティ上昇局面を示唆
- バンド幅の収縮:レンジ相場や転換前の低ボラティリティを示唆
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EMA5(Exponential Moving Average 5)
EMA5は直近5本の価格により重み付けされた指数移動平均です。
- 非常に短期的な価格の変化を捉え、エントリーや還流のタイミングに敏感
- EMA25とのクロスオーバーで、短期モメンタムの変化を判断
EMA25(Exponential Moving Average 25)
EMA25は中期的なトレンドを表す指数移動平均です。
- EMA5との位置関係でトレンドの強さや方向性を評価
- 価格がEMA25を上回れば短期的な買い優勢、下回れば売り優勢
EMA200(Exponential Moving Average 200)
EMA200は長期トレンドの大局を示す指数移動平均です。
- プロのトレーダーにも重要視されるサポート/レジスタンスライン
- 価格がEMA200を上回ると長期的に強気、市場全体のセンチメント確認に利用
Chart Analysis Tool for BTC and S&P500
- Bollinger Bands (orange upper/lower lines, light blue middle line)
- EMA5 (blue line), EMA25 (yellow line), EMA200 (red line)
Green & Red Bar AlertsThis indicator identifies when a bar (candle) closes green or red and provides visual markers plus alert notifications.
CPR by VictorVCentral Pivot Range
Where price is vs CPR
Above TC: bullish bias; TC/BC act as support. Hold above TC → trend day likely.
Inside CPR (BC–TC): balanced/choppy; expect mean reversion between edges until a clean break.
Below BC: bearish bias; BC/TC act as resistance.
Width of the CPR
Narrow: energy coiled → higher chance of breakout/trend day.
Wide: balanced market → range-bound behavior more likely.
Shift vs yesterday
CPR shifted up: bullish undertone.
Shifted down: bearish undertone.
Overlapping: neutral/indecisive.
Intraday tells
Acceptance: Several candles holding outside BC/TC = expansion in that direction.
Rejection: Wicks through BC/TC that close back inside = likely fade back toward the opposite edge.
Pivot (P) magnet: On non-trend days, price often gravitates back to P.
DM Super AlgoHere’s what each row in the Summary Table means and how you’d use it:
Mode
Shows your selected trade style (Scalp / Day trade / Swing) plus the ATR settings tied to it.
Use it to remember what volatility context you set the algo to (it also informs some visuals/OB stats under the hood).
ADX
Current trend strength from the Wilder ADX. It also labels the regime: WEAK / MODERATE / STRONG / VERY STRONG.
When ADX is below your “ADX min” input, the algo treats trend as weak; unified signals only fire when trend is strong.
Vol >MA*x
Whether current volume is UNUSUAL (above SMA(volume, flowVolLen) × flowVolMult) or NORMAL.
UNUSUAL volume = better odds a move can follow through; it also contributes a “vote.”
RSI(len)
Shows RSI value or zone: Overbought / OB Zone / Oversold / OS Zone / number.
Above 50 adds a bull vote; below 50 adds a bear vote. OB/OS text just gives quick context.
ATR(len)
Shows the ATR and (optionally) the ATR % of price (e.g., “1.23 (0.65%)”).
Higher ATR = more noise/range; useful for setting stops/targets sized to current volatility.
DM Total BUY
Rolling total of estimated buy volume over your lookback window (formatted in K/M/B).
Bigger than SELL suggests net buying pressure recently.
DM Total SELL
Rolling total of estimated sell volume over the same window.
Bigger than BUY suggests net selling pressure recently.
DM Buy Dom%
The share of buy volume in total (BUY / (BUY+SELL)), as a percentage.
>50% favors bulls; <50% favors bears. It also feeds a vote.
Votes (B/Bear)
The bull vs bear tally from 5 components:
Price vs EMA(Trend)
RSI vs 50
DM dominance (>50%)
CVD slope (last 5 bars)
Volume condition
When trend is strong (ADX filter passes) and one side has ≥3 votes AND more than the other, the script plots its triangle marker.
How to use the table (quick workflow)
Check ADX: If not “STRONG/VERY STRONG,” be cautious—signals won’t print unless trend passes your ADX threshold.
Scan Votes: A clear majority (e.g., 4/1) is stronger than 3/2.
Confirm with Volume: “UNUSUAL” volume increases conviction.
Gauge Volatility: Use ATR (and ATR%) to size stops/targets.
Read DM & Dominance: BUY vs SELL totals and DM Buy Dom% tell you whether the recent flow supports the direction.
Stop Hunt Candlesticks (Liquidity Wicks)🕯️ Stop Hunt Candlesticks
Wick Highlighter – Spot Extreme Wicks Instantly
This indicator highlights candles where the upper or lower wick exceeds a customizable percentage of the asset’s price — perfect for quickly spotting strong rejections, liquidity grabs, stop hunts or exhaustion moves.
💡 Key Features
Visual Background Highlight: Automatically colors the chart background when a wick surpasses your defined % threshold (default 1%).
Customizable Threshold: Adjust wick sensitivity to suit different assets or timeframes.
Upper & Lower Wick Filters: Choose whether to track upper wicks, lower wicks, or both.
Dynamic Price Basis: Compare wick size relative to Close, Open, HL2, or OC2.
Optional Labels: Display the exact wick percentage directly on the chart.
Alerts Ready: Get notified whenever a candle shows an extreme wick condition.
⚙️ How It Works
The script measures each candle’s wick size relative to your chosen price basis:
Upper wick % = (High − max(Open, Close)) / Basis × 100
Lower wick % = (min(Open, Close) − Low) / Basis × 100
If the result exceeds your chosen threshold, the chart background changes color.
Red for upper wicks, green for lower wicks by default.
🎯 Use Cases
Identify strong rejections or stop hunts near key levels.
Confirm price exhaustion or potential reversals.
Filter fake breakouts or high-volatility events.
🧩 Customization
Tweak colors, transparency, and label visibility to fit seamlessly into your chart setup.
NQ → NAS100The NQ → NAS100 Converter is a practical utility designed for traders who trade both the Nasdaq futures (NQ) and Nasdaq CFD (NAS100) markets.
It calculates and displays the converted stop-loss distance and price level on the NAS100 chart, based on a chosen number of NQ points.
This helps traders align their risk and position management between futures and CFD markets with precision.
🧮 Core Features:
Real-time conversion between NQ (CME) and NAS100 (OANDA) prices.
Automatic stop calculation for both Long and Short trade setups.
Optional display of NQ price, NAS price, and converted stop price.
Flexible visualization modes:
Candle-attached label that moves with price.
Chart-fixed panel for a clean dashboard-style view.
Full customization of colors, text size, alignment, and display position.
⚙️ How It Works:
Enter your NQ stop distance (in points).
The script converts that distance into the equivalent NAS100 distance, using the current NQ/NAS ratio.
The final converted NAS100 stop price is automatically displayed.
⚠️ Important Note:
This script does not place or execute trades.
It is designed solely for analysis and educational use to assist with risk management and cross-market price mapping.
Always confirm levels independently before trading.
📊 Recommended For:
Traders managing correlated exposure between NQ Futures and NAS100 CFDs.
Prop firm traders using NAS100 as a futures-correlated proxy.
Anyone seeking a clear, visual way to match stop distances across the two markets.
Pivot Points StandardTraditional Pivot Points, I am unsure why i have to make a longer description than that, but apparently i do so here i am making the description longer.
Key Levels with RTH-Only Lines and End-of-Line LabelsThis script plots important market structure levels such as Premarket High/Low, Previous Day High/Low, Monday High/Low, Weekly and Monthly Highs/Lows — but only during Regular Trading Hours (RTH) to keep the chart clean and focused on the active session.
Each level is automatically updated based on session data and is visually extended across the current trading day using line breaks (plot.style_linebr). At the start of each RTH session, the script also places end-of-line labels identifying each level (e.g., PDH, PDL, Mon High, Mon Low, Weekly High/Low, Monthly High/Low), allowing traders to quickly reference key zones without clutter.
This tool is ideal for:
Futures and equity traders who rely on session-based support and resistance levels.
Identifying reaction points where liquidity often builds — such as prior highs/lows or weekly extremes.
Maintaining focus on live market structure while avoiding noise from premarket or overnight price action.
Additional features:
All levels and labels are plotted only during RTH for visual clarity.
Supports custom labeling and alert logic extensions for breakout or retest strategies.
Built with scalability in mind — works across different symbols and timeframes.
Bitcoin Halving Cycle Strategy ProBitcoin Halving Cycle Strategy Pro - Advanced Market Cycle Analysis Tool
This professional indicator analyzes Bitcoin's 4-year halving cycles using precise mathematical calculations. It identifies bull and bear market phases based on 500 days before and 560 days after each halving event, providing traders with data-driven market cycle insights.
Key Features:
• Automatic Bull/Bear Market Zone Detection with color-coded areas
• Historical Halving Analysis (2012-2028) with future projections
• Live Performance Tracking during bull phases (returns, max drawdown)
• Customizable cycle parameters (days before/after halving)
• Interactive info table showing current cycle phase and metrics
• Visual timeline markers for halving dates and cycle boundaries
Perfect for long-term Bitcoin investors, cycle analysts, and traders who want to understand market psychology and timing based on historical halving patterns. Uses proven 1060-day cycle theory backed by empirical data.
Uptrick: Volatility Adjusted TrailIntroduction
The "Uptrick: Volatility Adjusted Trail" is a dynamic trailing band indicator. It adapts in real time to changing market conditions by adjusting both to volatility and trend consistency. Inspired by Supertrend-style logic, it enhances traditional approaches by introducing adaptive mechanisms for more context-sensitive behavior in both trending and consolidating environments.
Overview
This indicator combines an exponential moving average (EMA) as its basis with an Average True Range (ATR)-derived multiplier that adjusts dynamically. Unlike fixed-multiplier tools, this indicator modifies its band distances in real time according to volatility expansion and trend persistence. The result is a trailing system that adapts to the prevailing market regime, providing traders with clearer signals for trend bias, stop placement, and potential momentum shifts.
Originality
The script’s originality lies in its multi-layered approach to trail calculation. It introduces a real-time ATR multiplier adjustment driven by two factors: a volatility expansion ratio and a trend persistence model. The expansion ratio compares the current ATR to its moving average, making the indicator more sensitive during volatile conditions and less sensitive during quieter periods. The trend persistence model assesses directional consistency to widen the bands during sustained trends. This dual adjustment method creates a system that evolves with market behavior, making it more responsive and adaptive than static-band or fixed-multiplier alternatives.
Components & Inspiration
This indicator was designed with specific components that work together:
Exponential Moving Average (EMA): Chosen as the central baseline because it responds faster to recent price changes than a simple moving average, providing a more current reference for trailing bands.
Average True Range (ATR): Used as the volatility measure because it accounts for both intraday and gap movement, making it a robust and widely accepted standard for market volatility.
Dynamic Multiplier: The multiplier is adjusted by both volatility expansion and trend persistence to produce bands that tighten during low volatility and widen during consistent trends. This combination was chosen to give the indicator the ability to self-regulate across different market regimes.
Trend Persistence Model: Integrated to assess directional consistency, ensuring the bands expand during strong trends, which can prevent premature stop-outs.
Flip Confirmation Logic: Added to filter out noise by requiring multiple bar closes beyond a band before confirming a state change, reducing false reversals.
For inspiration, the indicator draws on the core idea behind Supertrend—using a baseline and volatility-derived bands to define trailing stop levels. However, while Supertrend uses a fixed ATR multiplier, this indicator introduces a dynamic multiplier system and persistence weighting, making it more adaptive and suited for varying conditions.
Inputs and Parameters
Basis EMA Length
Defines the period for the EMA that serves as the core price reference.
ATR Length
Sets the lookback period for the Average True Range calculation used in band spacing.
Base ATR Mult
The base multiplier applied to ATR before adjustments. Forms the starting scale of the band offset.
Volatility Expansion Sensitivity
Controls how strongly the band spacing reacts to short-term volatility bursts. Higher values create more pronounced band expansions or contractions.
Trend Persistence Window
Determines how many bars are used to calculate directional trend consistency using a smoothed step function.
Persistence Impact
Scales how much influence the trend persistence has on band widening. Values range from 0 (no effect) to 1 (maximum effect).
Min Effective Mult
Sets the minimum value that the adjusted multiplier can reach. Prevents the bands from becoming too narrow.
Max Effective Mult
Sets the maximum value the adjusted multiplier can reach. Prevents the bands from over-expanding during high volatility.
Bars Above/Below to Confirm Flip
Number of consecutive bars required to close above or below the opposing trail before confirming a bullish or bearish flip. Helps reduce noise and false signals.
Show Flip Labels
Enables or disables the display of flip markers on the chart.
Label Size
Allows users to adjust the size of flip labels from Tiny to Huge.
Label ATR Offset
Adjusts the vertical placement of flip labels in relation to the trail using an ATR-based offset.
Features and Logic
EMA Basis: All calculations stem from an EMA that tracks the centerline of price action.
Dynamic ATR Multiplier: The ATR multiplier adjusts in real time based on volatility expansion and trend persistence.
Clamped Multiplier: The adjusted multiplier is limited between user-defined minimum and maximum values to keep the band scale practical.
Upper and Lower Bands: Bands are plotted above and below the EMA using the dynamic multiplier and ATR values.
Trailing Logic: The script uses Supertrend-style trailing logic, updating the active band in the current trend direction and resetting the opposite band.
Trend State Detection: A state variable tracks the current market regime (bullish, bearish, or neutral). Transitions are confirmed only after a user-specified number of bars close beyond the respective bands.
Visual Elements: Trail lines and fill zones are color-coded (bullish cyan, bearish magenta). Candlestick and bar colors match the trend state. Optional flip labels mark confirmed transitions.
Alerts: Built-in alert conditions allow users to receive real-time notifications for bullish or bearish flips.
Usage Guidelines
This indicator can be used for:
Defining context-aware dynamic stop levels that adjust with market behavior.
Identifying trend direction and reversal points based on adaptive logic.
Filtering entry or exit signals during trending vs. consolidating conditions.
Supplementing trade management strategies with responsive visual markers.
Entering long or short positions based on the appearance of flip labels and managing stop losses by following the adaptive trail.
Traders may tune the parameters to suit different trading styles or timeframes. For example, lower ATR and EMA values may suit intraday setups, while longer settings may benefit swing or positional trading.
Summary
The "Uptrick: Volatility Adjusted Trail" provides a flexible, adaptive trailing band system that accounts for both volatility and directional consistency. By combining an EMA baseline with a dynamic ATR multiplier influenced by volatility expansion and trend persistence, it creates a context-sensitive trailing system that aligns with changing market conditions. Customizable confirmation, flip labels, alerts, and dynamic visual cues make it a versatile tool for trend-following, breakout filtering, and trailing stop logic.
Disclaimer
This indicator is provided for educational and research purposes only. It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own analysis and risk management before making trading decisions.
Rebound Sigma Pro - IndicatorOverview
Rebound Sigma Pro is a mean-reversion indicator that detects statistically oversold conditions in trending markets.
It helps traders identify potential short-term rebounds based on momentum exhaustion and volatility-adjusted entry zones.
Concept
The indicator combines two quantitative components:
Short-term momentum to detect short-term exhaustion
Trend filter to ensure setups align with the long-term direction
When a stock in an uptrend becomes temporarily oversold, a limit-entry signal is plotted.
The trade is then tracked until short-term conditions normalize or a time-based exit occurs.
Visual Signals
Green Triangle: Suggests placing a limit order for the next session
Green Circle: Confirms entry was filled
Red Triangle: Signals an exit for the next session’s open
Orange Background: Pending order
Green Background: Position active
Red Background: Exit phase
Yellow Line: Entry reference price
User Inputs
Limit Entry (% below previous close) – Default 1 %
Use Limit Entry – Switch between limit or market entries
Enable Time Exit – Optional holding-period constraint
Maximum Holding Days
All other internal parameters (momentum length, filters) are pre-configured.
Alerts
Limit Order Signal: New setup detected
Entry Confirmed: Order filled
Exit Signal: Exit expected next day
Usage
Designed for liquid equities and ETFs
Works best in confirmed uptrends
Backtesting encouraged to adapt parameters per symbol and timeframe
Notes
Not an automated strategy; manual order execution required
Past behavior does not imply future performance
Always apply sound position sizing and risk management
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or performance assurance.
MOM Buy/Sell + MACD Histogram Signal Tableeatures:
Combined Signal Analysis - Shows when both indicators align for STRONG BUY or STRONG SELL signals
Sortable Columns - Click any column header to sort by that metric
Filter Buttons - Quickly filter to see only Strong Buy, Strong Sell, or all signals
Color-Coded Values - Green for bullish, red for bearish, gray for neutral
Visual Icons - Trending arrows for easy signal recognition
KING AMUN Short and Long 📊 How to Use the Indicator:
Buy Conditions:
Fast Average Above Slow Average
Price Above Averages
RSI in Oversold Zone
Sell Conditions:
Fast Average Below Slow Average
Price Below Averages
RSI in Overbought Zone
⚙️ Recommended Settings:
Time Frames: M1, M5, M15
Gold Pair: XAUUSD
Trading Time: European and American Sessions
💡 Important Tips:
Wait for Candle Confirmation Before Entering
Use a 15-20 pip Stop Loss
Take Profit 25-35 pip
Avoid Major Economic News
This indicator provides clear and reliable signals while minimizing false signals. Try it on lower time frames and see the results!
3-1-2 Strat Combo by NaturalBelleThe 3-1-2 Strat Combo by NaturalBelle automatically detects and highlights one of The Strat’s most powerful reversal patterns — the 3-1-2 setup.
When a 3 (outside bar) is followed by a 1 (inside bar) and then a 2 that breaks direction, this script plots yellow triangles and draws yellow box zones across the sequence, giving traders a clean visual cue for potential reversals or continuations.
Features:
Highlights both bullish (3-1-2-Up) and bearish (3-1-2-Down) sequences
Draws yellow boxes covering the 3-1-2 structure for easy zone recognition
Optional text labels for clarity
Adjustable box extension and transparency
Built-in alert conditions for both up and down setups
This clean, no-clutter version focuses purely on price action — no indicators, no noise. Just the pattern.
🟡 Best used on: Any timeframe
🟡 Strategy: Combine with market structure, EMAs, or supply & demand zones for confirmation
Created by NaturalBelle — keeping Strat analysis simple, visual, and precise.
Zay Gwet Alert (Breakout→Retest→Confirm)EMA 9, VWAP, ORB (15-minute), Breakout, and Retest alerts are available within this application. It is particularly suitable for options day traders. Please note that this indicator is intended for educational purposes only and does not constitute financial advice. Trading involves inherent risks; therefore, it is essential to conduct your own research prior to making any trading decisions.
Uptrick: Relative Strength Rotation SystemIntroduction
The Uptrick: Relative Strength Rotation System is an indicator engineered to implement a regime-aware tactical allocation strategy across a predefined set of user-specified assets. It visualizes a simulated equity curve produced by a closed, managed rotation engine. The system is designed to identify relative strength relationships dynamically and rotate into stronger-performing assets, while offering an optional fallback into a defensive state when market conditions are deemed unfavorable by the logic.
Overview
This indicator allocates capital by continuously evaluating the relative strength between all asset pairs within the selected group. Unlike simplistic momentum models or rank-based selectors, this system uses internally calculated scores that compare each asset across multiple dimensions, forming a comprehensive decision matrix. These scores are evaluated through a regime-aware layer that determines whether the system should remain invested or move into an idle allocation. The rotation logic is implemented through a rebalancing structure that maintains exposure to a single asset at any time, or transitions into a fallback asset such as cash or PAXG based on internal conditions. Outputs include a dynamically colored equity curve, context-sensitive labels, and optional overlays comparing buy-and-hold performance of the selected assets.
Originality
The indicator utilizes a scoring matrix based on custom asset-to-asset comparative ratios, resulting in a relational framework that evaluates assets in the context of each other rather than in isolation. Each asset is analyzed through multiple statistical dimensions, including trend strength and normalized deviation using Z-score calculations. These metrics form the foundation of an adaptive matrix used to derive consensus leadership. A key differentiator lies in the optional routing of idle allocations to PAXG—a tokenized gold asset—offering a non-cash defensive alternative that introduces both diversification and risk modulation not typically seen in rotation models. The engine also includes an override layer that filters decisions through market state awareness, adding tactical discipline during ambiguous or bearish regimes. Taken together, these features form a self-contained rotation mechanism with multiple embedded controls and fallback logic, all of which are abstracted from the user.
Inputs and Features
Exponential Length (EMA Length)
Specifies the smoothing length used by one of the internal scoring models. Lower values allow for more responsive asset comparisons, while longer values smooth out short-term volatility in score changes.
Z Score
Controls the statistical lookback length used for normalized relative comparisons. This Z-score is a cornerstone of the system’s comparative matrix, standardizing inter-asset ratio behaviors to detect statistically significant deviations from recent behavior. It allows the rotation engine to isolate and prioritize sustained leadership across assets, regardless of price volatility.
Rebalance Every N Bars
Sets how frequently the system evaluates potential changes in leadership. This controls the cadence of reallocation and can be tuned for faster or slower responsiveness.
When Bearish / Neutral, go to
Lets the user select how the system behaves during non-confirmed or bearish conditions. It can either route to a flat cash-equivalent state or into a user-defined defensive asset (such as PAXG), introducing an added layer of optional protection.
Cash Filter
Activates an override that forces the system into an idle state during unfavorable market regimes, even if a leader is otherwise present. This regime-aware mechanism adds another layer of conditional control to mitigate exposure risk.
Start Date
Defines the point in history from which the equity simulation begins. All calculations and equity values prior to this point are excluded.
Asset Inputs (Asset 1 to Asset 4)
Allow the user to specify up to four assets to be evaluated within the rotation universe. These may include crypto, forex, or other tradable symbols supported by TradingView.
PAXG Fallback Asset
Specifies the asset used as a fallback when the idle state is active and the defensive mode is set to PAXG rather than cash.
Color Settings
Users can customize the chart color palette for each asset and idle condition for enhanced clarity.
HODL Curve Toggles
Enable buy-and-hold equity curves for each input asset to be plotted for direct performance comparison with the system’s output.
Simple Mode
Reduces visual noise by simplifying the chart’s appearance and removing optional elements.
Background Color and Shadow Equity Fill
Offer additional styling options that reflect the system's current allocation, enhancing chart readability.
COLORED EQUITY CURVE - PAXG
COLORED EQUITY CURVE - CASH
SYSTEM
Current System Text Color
Allows further customization of label text for visibility across different asset themes.
Summary
The Uptrick: Relative Strength Rotation System is a rotation engine that leverages a proprietary scoring matrix to simulate tactical asset allocation. It analyzes inter-asset behavior through pairwise ratio metrics and statistically normalized scoring methods, enabling it to identify leadership dynamics within a defined universe. The inclusion of PAXG as a defensive fallback, regime-aware cash filtering, and customizable rebalancing cadence gives the system adaptability beyond traditional relative strength models. Users are provided with transparent visual feedback through an equity curve, contextual labels, buy-and-hold overlays, and real-time equity statistics. The system is not designed to disclose its internal mechanics, but it enables full visualization of its output and decisions for comparative analysis.
Disclaimer
This script is intended solely for educational and informational purposes. It does not constitute financial advice, trading signals, or an offer to buy or sell any financial instrument. Trading and investing carry risk, and past performance does not guarantee future outcomes. Users should perform their own research and consult a licensed financial advisor before making trading decisions.
ICT + SMT Liquidity & FVG Template v6 MNQ1/MES1Marking out ict concepts on mnq and marking smt divergences with mes
Cycle VTLs – with Scaled Channels "Cycle VTLs – with Scaled Channels" for TradingView plots Valid Trend Lines (VTLs) based on Hurst's Cyclic Theory, connecting consecutive price peaks (downward VTLs) or troughs (upward VTLs) for specific cycles. It uses up to eight Simple Moving Averages (SMAs) (default lengths: 25, 50, 100, 200, 400, 800, 1600, 1600 bars) with customizable envelope bands to detect pivots and draw VTLs, enhanced by optional parallel channels scaled to envelope widths.
Key Features:
Valid Trend Lines (VTLs):
Upward VTLs: Connect consecutive cycle troughs, sloping upward.
Downward VTLs: Connect consecutive cycle peaks, sloping downward.
Hurst’s Rules:
Connects consecutive cycle peaks/troughs.
Must not cross price between points.
Downward VTLs:
No longer-cycle trough between peaks.
Invalid if slope is incorrect (upward VTL not up, downward VTL not down).
Expired VTLs: Historical VTLs (crossed by price) from up to three prior cycle waves.
SMA Cycles:
Eight customizable SMAs with envelope bands (offset × multiplier) for pivot detection.
Channels:
Optional parallel lines around VTLs, width set by channelFactor × envelope half-width.
Pivot Detection:
Fractal-based (pivotPeriod) on envelopes or price (usePriceFallback).
Customization:
Toggle cycles, VTLs, and channels.
Adjust SMA lengths, offsets, colors, line styles, and widths.
Enable centered envelopes, slope filtering, and limit stored lines (maxStoredLines).
Usage in Hurst’s Cyclic TheoryAnalysis:
VTLs identify cycle trends; upward VTLs suggest bullish momentum, downward VTLs bearish.
Price crossing below an upward VTL confirms a peak in the next longer cycle; crossing above a downward VTL confirms a trough.
Trading:
Buy: Price bounces off upward VTL or breaks above downward VTL.
Sell: Price rejects downward VTL or breaks below upward VTL.
Use channels for support/resistance, breakouts, or stop-loss/take-profit levels.
Workflow:
Add indicator on TradingView.
Enable desired cycles (e.g., 50-bar, 1600-bar), adjust pivotPeriod, channelFactor, and showOnlyCorrectSlope.
Monitor VTL crossings and channels for trade signals.
NotesOptimized for performance with line limits.
Ideal for cycle-based trend analysis across markets (stocks, forex, crypto).
Debug labels show pivot counts and VTL status.
This indicator supports Hurst’s Cyclic Theory for trend identification and trading decisions with flexible, cycle-based VTLs and channels.
Use global variable to scale to chart. best results use factors of 2 and double. try 2, 4, 8, 16...128, 256, etc until price action fits 95% in smallest cycle.