K-TREND Strategy k trend is very useful and high profitablility , it gives entry signals with buy/sell entry signalwith stoploss and targets
Циклический анализ
NYC Candle Times Grid Muestra el horario de apertura de las velas en diferentes time frames.
Displays the opening hours of the candles in different time frames.
VWAP Suite v1.0.5This is the latest script by Kenny at The Nexus Discord. ONLY available to members in The Nexus, please DM Kenny to be approved for the script.
VWAP Suite gives you many different vwaps and Anchored Vwaps to choose from also being able to set your own custom ones from important timeframes. Trump pump? Yep. Major lows, Yup.
Also can email kenny@aceindicators.com for questions.
BTC Regime Phase [HY|YC|GLI]The correlation between global liquidity and INDEX:BTCUSD has attracted a lot of attention. Building on this insight, I developed an indicator that not only tracks global liquidity but also integrates the high‑yield spread and yield‑curve slope to capture credit risk and growth expectations.
Essence and Logic
At its core, the Risk‑On Composite Z‑Score converts three macro factors global liquidity momentum, the US high‑yield spread and the slope of the US yield curve into standardized Z‑scores, weights them, and tracks moving‑average crossovers. Each factor has a rationale: high‑yield spreads are powerful business‑cycle indicators and often outperform other financial variables (Gertler & Lown, 2000). Yield‑curve steepness reflects investor optimism and prompts shifts toward riskier assets global liquidity drives cross‑border flows and risk sentiment (Goldberg, 2023; Lee, 2024). Combining these measures gives a composite signal that has historically aligned well with Bitcoin’s tops and bottoms. Usable also for other crypto coins: INDEX:ETHUSD CRYPTO:SOLUSD CRYPTO:LINKUSD
Limitations and My Current Model Outlook
I want to be transparent: the three model sections are highly correlated. Currently, the high‑yield spread and yield curve data come only from the US; I may add Euro or Japanese spreads later. I’m also aware that macro dynamics are evolving. Fiscal policy and political choices could shorten bear markets and make the current sell signals less relevant. In a stagflationary world, inflation‑adjusted liquidity may swing more violently and require an asset‑inflation adjustment. Yet, the model has captured Bitcoin’s tops and bottoms almost to the week—future patterns may rhyme, not repeat.
Questions and Ideas:
Do you think this model will still be useful as fiscal and monetary regimes shift?
Should I add a stagnation modulation perhaps real yields or inflation‑adjusted liquidity—to better capture a stagflation scenario?
Are there high‑yield spreads on TV beyond the US that I should include? (Euro and Japan indices do exist.)
Would it make sense to incorporate Bitcoin halving events or a stock‑to‑flow module?
The indicator is free to use. If it brings you value, you’re welcome to follow for updates. I appreciate your support and feedback. When you are interested in the source code, feel free to contact me for more details. When you feel like supporting me with some sats, contact me and I will give you a Lightning address. I am a student and that would help a lot – but please only if you can afford it!
♡ Thanks to everyone who contributes insight on TradingView ♡
© Robinhodl21
Features: Users can enable or disable each component, adjust weights and choose a short‑tenor (1‑year or 2‑year) for the yield curve. The script automatically scales lookback windows based on the chart timeframe (daily, weekly or monthly). It offers visual plots of each Z‑score, the composite score, and smoothed moving averages, with background colours highlighting regimes and markers for entries and exits. Trade logic includes optional dip‑buy triggers when the composite falls below a threshold, Friday‑only execution on daily charts to reduce whipsaws. A trend table summarises current Z‑scores and their trends. Settings are tuned for BTC weekly data but should be adjusted for other assets or timeframes. Because some inputs (e.g., GLI weights) have limited historical data, long backtests may be less reliable when using on other Risk On Assets like NASDAQ:NDX NCDEX:COPPER
‼ Disclaimer: This indicator is for educational purposes and does not constitute investment advice. Markets involve risk; past performance is not indicative of future results. Users should not rely solely on this script for trading decisions. Always test and adapt settings to your asset, timeframe and risk tolerance. The author assumes no liability for any trading losses.
Literature:
Gertler, M., & Lown, C. S. (2000). The information in the high yield bond spread for the business cycle: Evidence and some implications. NBER Working Paper 7549.
Lee, B. (2024). Staying ahead of the yield curve. CME Group.
McCauley, R. N. (2012). Risk‑on/risk‑off, capital flows, leverage and safe assets. BIS Working Paper 382.
Goldberg, L. (2023). Global liquidity: Drivers, volatility and toolkits. Federal Reserve Bank of New York Staff Report 1064.
FRED (2025). ICE BofA Euro High Yield Index Option‑Adjusted Spread (BAMLHE00EHYIOAS). St. Louis Fed Data.
Office of Financial Research (2025). Financial Stress Index sources: High yield indices..
Tashev, T. (2025). The Bitcoin Stock‑to‑Flow Model: A comprehensive guide. Webopedia.
Daily Separator & Killzone marker (L3J)The “Daily Separator (L3J)” is a tool built for day traders who want a clean intraday structure around key U.S. market times and a professional trading-day model. It visually segments trading days, marks critical intraday timestamps (pre-market, cash open, killzone), and aligns with routines inspired by ICT concepts.
Important note: internal code comments and notes are written in French.
What the script does
Draws clear, configurable vertical lines to separate each trading day.
Supports two trading-day models:
- CME 18:00–17:00 (anchored on the Asian session, common for indices/futures)
- Calendar 00:00–23:59 (midnight-to-midnight)
Plots four key intraday rays in UTC‑4:
- 08:30 — U.S. pre-market open
- 09:30 — U.S. cash market open
- 09:50 — killzone start (per my routine)
- 10:30 — killzone end (per my routine)
Smart display logic: each day’s marker stays visible until the time is reached, then auto-hides to keep charts clean.
Object-budget control: caps the number of historical separators to preserve performance.
Day trading strengths (ICT-friendly)
Robust CME anchoring: day switches at the Asian session start in UTC‑4, which better reflects U.S. liquidity flow than calendar midnight.
Focused killzone: highlights 09:50–10:30 for impulse setups, rebalancing, and liquidity events around the open.
Clean readability: fully customizable colors, styles, and widths; markers auto-remove after their window.
Inputs (end‑user labels in French)
- Timezone: choose the time zone (default UTC‑4) for session alignment.
- Day separator:
- Day type: “CME 18:00–17:00” or “Calendrier 00:00–23:59”
- Color, style (solid, dashed, dotted), width
- Max number of visible separators (performance control)
Session (CME): Asian session window used as the anchor (default 18:00–16:00 UTC‑4)
ndependent intraday markers:
- Pre‑Market Open 08:30
- Market Open 09:30
- Killzone Open 09:50
- Killzone Close 10:30
- Each with show/hide, color, style, and width settings
Best practices
U.S. indices ( CME_MINI:ES1! , CME_MINI:NQ1! ) and U.S. equities: favor the “CME 18:00–17:00” mode for a more liquidity‑centric read.
ICT day trading: form directional bias around 09:30, execute between 09:50–10:30 as initial volatility structures.
Multi‑timeframe use: keep it on execution charts (1–5 min) and context charts (15–60 min) for time alignment.
Technical notes
Created by L3J.
Pine Script v6, overlay=true, controlled object budget.
Deterministic time calculations via Pine built‑ins.
All times are expressed in UTC‑4 to align with U.S. practice; adjust the timezone input as needed.
- Internal code comments/notes are written in French.
If this script helps you structure your sessions better, consider leaving a like and sharing it with other intraday traders.
Happy trading, everyone!
Volume Wave AnalyzerWave Buy vs Sell Volume (with Box) analyzes the buying and selling volume within a selected range of past candles. It sums volume from bullish bars (where close > open) as buy volume, bearish bars (close < open) as sell volume, and splits volume evenly for neutral (doji) bars. The indicator displays:
Buy Volume and Sell Volume totals over the chosen candle range
Delta (difference between buy and sell volumes)
Buy Percentage representing buying pressure strength
A visual box on the chart highlighting the selected candle range
This helps traders quickly assess market sentiment and volume dominance during recent price movements, supporting more informed trading decisions.
MO and Stoch GOLD H4 V1 – Kim TradingMO and Stoch GOLD H4 V1 – Kim Trading
Slogan: “Trading Is a Profession, Trading Is Life”
Market: XAUUSD (spot gold) • Timeframe: H4 (4 hours)
Entry/Exit Rules
When a B, B1★ … (buy) or S, S1★ … (sell) signal appears, first reference the prevailing trend and consider applying DCA in the direction of that trend. In addition, combine with other methods to build the most optimal setup.
Signal Confidence Tiers
B — S
B1★ — S1★
B2★ — S2★
B3★ — S3★
Enter trades only when one of the four signal types above is printed.
Author: Kim Trading • Version: V1 • Date: 2025-08-22
#XAUUSD #Gold #H4 #MO #Stoch #KimTrading
[blackcat] L1 Dual Ehlers Bandpass FilterOVERVIEW
The Dual Ehlers Bandpass Filter combines two bandpass filters tuned to the dominant and subdominant market cycles, creating a powerful signal extraction tool. This indicator uses John Ehlers' advanced digital signal processing techniques to isolate specific frequency components from price data. By mixing the outputs of two bandpass filters, it provides a smoother, more responsive signal that captures both primary and secondary market cycles. The indicator includes divergence detection capabilities and multiple mixing methods for customizable signal extraction.
FEATURES
- Dual bandpass filtering with dominant and subdominant cycle detection
- Multiple dominant cycle calculation methods (HoDyDC, PhAcDC, DuDiDC, CycPer, BPZC)
- Flexible mixing options: weighted, sum, difference, dominant-only, or subdominant-only
- Adjustable bandwidth parameters for both filters
- Built-in divergence detection with customizable lookback periods
- Optional display of individual filter components
- Color-coded signals and alerts for bullish/bearish divergences
HOW TO USE
1. Select your preferred price source (close, high, low, etc.)
2. Choose the dominant cycle calculation method from the available options
3. Set the subdominant cycle ratio (typically 0.1-0.9 of the dominant cycle)
4. Adjust bandwidth parameters for both filters (0.1-1.0 range)
5. Select your preferred mixing method:
- Weighted: Mix based on adjustable weights
- Sum: Add both filter outputs
- Difference: Subtract subdominant from dominant
- Dominant: Show only the dominant filter
- Subdominant: Show only the subdominant filter
6. Enable divergence detection to identify potential trend reversals
7. Optionally enable individual filter plots for analysis
LIMITATIONS
- The indicator requires sufficient historical data for accurate cycle detection
- Dominant cycle calculations may vary significantly during low volatility periods
- Divergence signals are lagging indicators and should be used with confirmation
- Bandpass filters may produce false signals during choppy market conditions
- The indicator is not suitable for all trading styles and timeframes
NOTES
- The indicator uses the blackcat1402/dc_ta library for advanced cycle calculations
- Zero line crossing can indicate potential trend changes
- Positive values typically suggest bullish momentum, negative values bearish momentum
- Divergence signals appear as colored dots and labels on the chart
- Alert conditions are available for both bullish and bearish divergences
THANKS
Special thanks to John Ehlers for his pioneering work in digital signal processing for financial markets.
Ludvig Indicator PROThe Ludvig Indicator is designed to identify high-probability breakout setups by combining trend, volume, volatility, and relative strength filters. It helps you enter stocks (or ETFs/crypto) when institutional money is likely flowing in, while avoiding false breakouts and weak trends.
🔑 Core Features
Zero-Lag EMA (ZLEMA)
Faster, less lagging trend detection compared to traditional EMAs.
Used as the basis for dynamic ATR bands.
ATR Volatility Bands
Adaptive bands based on the Average True Range (ATR).
Define the zone where price must close outside to confirm trend strength.
Breakout Confirmation
Requires price to close above recent highs (lookback configurable).
Ensures signals are “true breakouts,” not just noise around moving averages.
Volume Filter (Relative Volume)
Validates breakouts with significantly higher volume than average.
Prevents low-liquidity signals from triggering.
Trend Strength (ADX)
Built-in ADX calculation ensures only strong, trending moves are considered.
Default filter: ADX ≥ 18 (configurable).
Relative Strength vs. Benchmark
Compares the asset’s momentum against a benchmark (default: SPY).
Only signals when the asset is outperforming the benchmark.
Useful for sector rotation and picking leaders instead of laggards.
Alerts & Signals
Breakout entries are marked with small green triangles.
Built-in alerts for automated notifications (TradingView alerts).
Sweep2Trade Pro [CHE]Sweep2Trade Pro \ — Liquidity Sweep → Trend → Confirmation
Sweep2Trade Pro \ helps you catch high-probability reversals or continuations that start with a liquidity sweep, align with the T3 trend, and finalize with a structure confirmation (BOS). It’s designed to reduce noise, time your entries, and keep you out of weak, chop-driven signals.
What’s a “sweep”?
A liquidity sweep happens when price briefly breaks a prior swing high/low (where many stops sit), triggers those stops, and then snaps back. This “stop-hunt” creates liquidity for bigger players and often precedes a sharp move in the opposite direction if the break fails, or fuels continuation if structure actually shifts.
What’s a BOS (Break of Structure)?
A BOS is a price action event where the market takes out a recent swing level in the trend’s direction, signaling continuation and confirming that structure has shifted (bullish BOS through a recent swing high, bearish BOS through a recent swing low).
How the indicator works (at a glance)
1. Regime Filter (T3 + R²)
T3 Moving Average: A smoother, faster-responding moving average that aims to reduce lag while filtering noise, so trend direction changes are clearer.
R² (Coefficient of Determination): Measures how “linear” the recent price path is (0→1). Higher values = stronger, cleaner trend; lower values = more chop. Used here to allow trades only when trend quality exceeds a user-set threshold.
2. Sweep Detection
Bullish sweep: price pokes below a prior swing low and closes back above it.
Bearish sweep: price pokes above a prior swing high and closes back below it.
Lookback length is configurable.
3. Sequence Lock (built-in FSM)
The script manages state in phases so you don’t jump the gun:
Phase 1: Sweep detected → wait for T3 to turn in the corresponding direction.
Phase 2: T3 direction confirmed → show “SWEEP OK” and wait for final confirmation.
Trade Signal: Only fires if confirmation arrives before a timeout.
4. Confirmation Layer
BOS via wick or close (you choose),
Strong close toward the signal (top/bottom quartile of the candle),
Optional “close above/below T3” condition.
These checks help avoid weak sweeps that immediately fade.
5. Alerts & Visuals
“SWEEP OK” markers show when the sweep + T3 direction align.
Final BUY/SELL arrows appear only when the confirmation layer passes.
Ready-made alert conditions for automation.
What you can do with it
Time reversals after sweeps: Enter when a stop-hunt fades and structure confirms.
Ride continuations: Use BOS with the T3 trend to pyramid or re-enter with structure on your side.
Filter chop: Let R² gate entries to periods with cleaner directional drift.
Automate: Use the included alerts with your platform or webhook setup.
Inputs (key settings)
Regime Filter
T3 Length / Volume Factor: Controls smoothness and responsiveness. Smaller length → faster, more sensitive; higher volume factor → smoother curve.
R² Lookback & Threshold: Length of the linear fit window and the minimum “trend quality” required. Higher thresholds mean fewer, cleaner signals.
Sweep / Sequence
Swing Lookback: How far back to define the “reference” high/low for sweeps.
Timeout: Maximum bars allowed between phases to keep signals fresh.
Restart timeout on Phase 2: Optional safety so entries don’t go stale.
Confirmation
BOS Lookback: Micro-pivot window for structure breaks.
Wick vs Close BOS: Conservative traders may prefer close.
Require close above/below T3: Tightens confirmation with trend alignment.
Practical guide (quick start)
1. Timeframe & markets: Works across majors, indices, and crypto. Start with 5m–1h intraday or 1h–4h swing; adjust R² threshold upward on noisier pairs.
2. Entry recipe (Long):
Bullish sweep of a prior low → T3 turns up → BOS/strong close.
Optional: enable “close above T3” for extra confirmation.
3. Entry recipe (Short): Mirror the above.
4. Stops: Common choices are just beyond the sweep wick (tighter) or past the BOS invalidation (safer).
5. Targets: Previous structural levels, measured move, or a T3 trail (exit when price closes back through T3).
6. Avoid low-quality contexts: If R² is very low, market is likely ranging erratically—skip or widen filters.
Tips & best practices
Context first: The same sweep means different things in a strong trend vs. flat regime; that’s why the T3+R² filter exists.
BOS choice: Wick-based BOS is earlier but noisier; close-based BOS is slower but cleaner. Tune per market.
Backtest -> Forward test: Validate settings per symbol/timeframe; then paper trade before going live.
Risk: Fixed fractional risk with asymmetric R\:R (e.g., 1:1.5–1:3) generally performs better than “all-in” discretionary sizing.
Behind the scenes (for the curious)
T3 is a multi-stage EMA construction that produces a smooth curve with reduced lag versus simple/standard EMAs.
R² is the square of correlation (0–1). Here it’s used as a moving gauge of how well price aligns to a linear path—our “trend quality” dial.
Stop-hunts / sweeps are a recognized microstructure phenomenon where clustered stops provide the liquidity that fuels the next move.
Disclaimer
No indicator guarantees profits. Sweep2Trade Pro \ is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Happy trading
Chervolino
Custom Support & Resistance Levels (Manual Input)This indicator lets you plot your own support levels (and can be extended for resistance) directly on the chart by entering them as comma-separated values.
📌 Supports manual input for multiple price levels.
📊 Lines are extended across the chart for clear visualization.
🎨 Dynamic coloring:
Green if the current price is above the level.
Red if the current price is below the level.
🧹 Old lines are automatically cleared to avoid clutter.
This tool is ideal if you:
Prefer to mark your own key zones instead of relying only on auto-detected levels.
Want clean and simple visualization of critical price areas.
👉 Coming soon: Resistance levels input (commented in the code, can be enabled).
Same Day Past CandlesSame-Day Past Candles
This indicator is a tool that plots the shapes of the candles from the same date one and two years ago directly on the current chart. By visually comparing past price movements, it can help you analyze seasonality and cyclical patterns.
Key Features
Plots Past Candles: Displays candles from the same date one and two years ago on your current chart.
Toggle Visibility: You can individually turn the display of the "1 year ago candle" and "2 years ago candle" on or off in the indicator's settings.
Candle Shape: The open, high, low, and close prices of the past candles are plotted, scaled to the current price range.
How to Use
Add this indicator to a daily chart for best results. The plotted candles are slightly offset upwards so they don't overlap with the current price, making it easier to compare the shape of the past candles with the current chart movement.
Visually checking how specific past price changes are reflected on the same day this year can provide insights for your trading strategy.
I do not speak English at all. Please understand that if you send me a message, I may not be able to reply, or my reply may have a different meaning. Thank you for your understanding.
Buy/Sell Volume VWAP with Liquidity and Price SensitivityBuy/Sell Volume VWAP with Liquidity & Price Sensitivity
A dual-VWAP overlay that separates buy-side vs sell-side pressure using lower-timeframe volume and recent price behavior. It shows two adaptive VWAP lines and a bias cloud to make trend and imbalance easy to see—no params fussing required.
What you’ll see
Buy VWAP (green) and Sell VWAP (red) plotted on the chart
Slope-aware coloring : brighter when that side is improving, darker when easing
Bias cloud: green when Buy > Sell, red when Sell > Buy
Optional last-value bubbles on the price scale for quick readouts
How it works
Looks inside each bar (lower timeframe, e.g., 1-second) to estimate buy vs sell pressure
Blends that pressure with recent price movement to keep the lines responsive but stable
Maintains separate VWAP tracks for buy-side and sell-side and resets daily or at a time you choose
How to use it
Trend & bias: When Buy VWAP stays above Sell VWAP (green cloud), buyers have the upper hand; the opposite (red cloud) favors sellers.
Conviction: A wider gap between the two lines often means a stronger imbalance.
Context: Use alongside structure (higher highs/lows, key levels) for confirmation—this is not a stand-alone signal.
Inputs
Timeframe: Lower-TF sampling (default 1S).
Reset Time: Defaults to 09:30 (session open); set to your market.
Appearance: Two-shade palettes for buy/sell, line width, last-value bubbles, and cloud opacity.
Tips
Works on most symbols and intraday timeframes; lower-TF sampling can be heavier on resources.
If the cloud flips frequently, consider viewing on a slightly higher chart timeframe for cleaner structure.
Disclaimer
For educational use only. Not investment advice. Test on replay/paper before live decisions.
PCV2 imgoatedlines on lines, grid on grid.
25s chatter. 50s hum. 100s chant.
the 500s throb, the 1000s scream.
hidden in the block: 250 / 750, the off-beat echoes.
stare too long and the candles turn to teeth.
price does not move, you move.
support? resistance? it’s just the lattice, the cage, the whisper.
they say this will help you “find confluence”…
no. this will help you get your first dookie butt.
don’t explain it. just add it. let the grid cook.
PCV2 waitimgoatedlines on lines, grid on grid.
25s chatter. 50s hum. 100s chant.
the 500s throb, the 1000s scream.
hidden in the block: 250 / 750, the off-beat echoes.
stare too long and the candles turn to teeth.
price does not move, you move.
support? resistance? it’s just the lattice, the cage, the whisper.
they say this will help you “find confluence”…
no. this will help you get your first dookie butt.
don’t explain it. just add it. let the grid cook.
SHHHHHHH“Round Numbers — 100/50/25”
lines… endless lines… they whisper in 25s, scream in 50s, collapse in 100s.
price dances on the grid, you don’t trade it, it trades you.
blue for the void. orange for the in-between. green for the fracture.
extend both. never stop. above and below. above and below.
do not ask why 25. do not ask why 50. the 100s already know.
quarter. half. whole. repeat until delirium.
add it to chart → stare too long → numbers start staring back.
Path of the Planets🪐 Path of the Planets
Path of the Planets is an open-source Pine Script™ v6 indicator. It is inspired by W.D. Gann’s Path of Planets chart, specifically the Chart 5-9 artistic replica by Patrick Mikula "shown below". The script visualizes planetary positions so you can explore possible correlations with price. It overlays geocentric and heliocentric longitudes and declinations using the AstroLib library and includes an optional positions table that shows, at a glance, each body’s geocentric longitude, heliocentric longitude, and declination. This is an educational tool only and not trading advice.
Key Features
Start point: Choose a date and time to begin plotting so studies can align with market events.
Adjustments: Mirror longitudes and shift by 360° multiples to re-frame cycles.
Planets: Toggle geocentric and heliocentric longitudes and declinations for Sun, Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto. Moon declination is available.
Positions table: Optional color-coded table (bottom-right) with three columns labeled Geo, Helio, and Dec. Values show degrees with the zodiac sign for the longitudes and degrees for declinations.
Visualization: Solid lines for geocentric longitudes, circles for heliocentric longitudes, and columns for declinations. Includes a zero-declination reference line.
How It Works
Converts bar timestamps to Julian days via AstroLib.
Fetches positions with AstroLib types: geocentric (0), heliocentric (1), and declination (3).
Normalizes longitudes to the −180° to +180° range, applies optional mirroring and 360° shifts, and converts longitudes to zodiac sign labels for the table.
Plots and the table update only on and after the selected start time.
Usage Tips
Apply on daily or higher timeframes when studying broader cycles. For degrees, use the left scale.
Limitations at the moment: default latitude, longitude, and timezone are set to 0; aspects and retrogrades are not included; the focus is on raw paths.
License and Credits
Dependency: @BarefootJoey Astrolib
Contributions and observations are welcome.
GOLDEN SCALP DEXDescription:
This tool is designed for traders who want to capture momentum shifts that occur within larger timeframe structures. The strategy identifies unique breakout opportunities inside the HTF cycle and provides precise entry and exit signals without cluttering the chart.
The system focuses on:
Pinpointing immediate momentum breakouts
Clean chart visualization with intuitive buy/sell markers
Full backtesting capability through TradingView’s Strategy Tester
Customizable position sizing for futures, forex, and crypto traders
It is especially useful for traders who prefer fast, rule-based signals during high-impact intraday moves.
⚠️ Disclaimer: This is a trading tool, not financial advice. Results may vary depending on market conditions, and proper risk management is essential.
ETH/SOL 1D Dynamic Trend Core - Indicator v46🚀 Dynamic Trend Core
The Dynamic Trend Core is a sophisticated, multi-layer trading engine designed to identify high-probability, trend-following opportunities. It offers both a quantitative backtesting engine and a rich, intuitive visual interface.
Its core philosophy is simple: confirmation. The system seeks to filter out market noise by requiring a confluence of conditions—trend, momentum, price action, and volume—to be in alignment before a signal is considered valid.
⚙️ Core Logic Components
Primary Trend Analysis (SAMA): The foundation is a Self-Adjusting Moving Average (SAMA) that determines the underlying market trend (Bullish, Bearish, or Consolidation).
Confirmation & Momentum: Signals are confirmed with a blend of the Natural Market Slope and a Cyclic RSI to ensure momentum aligns with the primary trend.
Advanced Filtering Layers: A suite of optional filters allows for robust customization:
Volume & ADX: Ensure sufficient market participation and trend strength.
Market Regime: Uses the total crypto market cap to gauge broad market health.
Multi-Timeframe (MTF): Aligns signals with the dominant weekly trend.
BTC Cycle Analysis: Uses Halving or Mayer Multiple models to position trades within historical macro cycles.
Delta Zones: An additional filter to confirm signals with recent buy or sell pressure detected in candle wicks.
📊 The On-Chart Command Center
The strategy's real power comes from its on-chart visual feedback system, which provides full transparency into the engine's decision-making process.
Note: For the dashboard to update in real-time, you must enable "Recalculate on every tick" in the script's settings.
Power Core Gauge: Located at the bottom-center, this gauge is the heart of the system. It displays the number of active filter conditions met (e.g., 6/7) and "powers up" by glowing brightly as a signal becomes fully confirmed.
Live Conditions Panel: In the bottom-right corner, this panel acts as a detailed pre-flight checklist. It shows the real-time status of every single filter, helping you understand exactly why a trade is (or is not) being triggered.
Energized Trendline: The main SAMA trendline changes color and brightness based on the strength and direction of the trend, providing immediate visual context.
Halving Cycle Visualization: An optional visual guide to the phases of the Bitcoin halving cycle.
Delta Zone Pressure Boxes: A visual guide that draws boxes around candles exhibiting significant buying or selling pressure.
🛠️ How to Use
Operation Mode: "Alerts-Only Mode" for generating live signals.
Configure Strategy: Start with the default filters. If a potential trade setup is missed, check the Live Conditions Panel to see exactly which filter blocked the signal. Adjust the filters to suit your specific asset and timeframe.
Manage Risk: Adjust the Risk & Exit settings to match your personal risk tolerance.
BTC Dynamic Trend Core - Indicator v46🚀 Dynamic Trend Core
The Dynamic Trend Core is a sophisticated, multi-layer trading engine designed to identify high-probability, trend-following opportunities. It offers both a quantitative backtesting engine and a rich, intuitive visual interface.
Its core philosophy is simple: confirmation. The system seeks to filter out market noise by requiring a confluence of conditions—trend, momentum, price action, and volume—to be in alignment before a signal is considered valid.
⚙️ Core Logic Components
Primary Trend Analysis (SAMA): The foundation is a Self-Adjusting Moving Average (SAMA) that determines the underlying market trend (Bullish, Bearish, or Consolidation).
Confirmation & Momentum: Signals are confirmed with a blend of the Natural Market Slope and a Cyclic RSI to ensure momentum aligns with the primary trend.
Advanced Filtering Layers: A suite of optional filters allows for robust customization:
Volume & ADX: Ensure sufficient market participation and trend strength.
Market Regime: Uses the total crypto market cap to gauge broad market health.
Multi-Timeframe (MTF): Aligns signals with the dominant weekly trend.
BTC Cycle Analysis: Uses Halving or Mayer Multiple models to position trades within historical macro cycles.
Delta Zones: An additional filter to confirm signals with recent buy or sell pressure detected in candle wicks.
📊 The On-Chart Command Center
The strategy's real power comes from its on-chart visual feedback system, which provides full transparency into the engine's decision-making process.
Note: For the dashboard to update in real-time, you must enable "Recalculate on every tick" in the script's settings.
Power Core Gauge: Located at the bottom-center, this gauge is the heart of the system. It displays the number of active filter conditions met (e.g., 6/7) and "powers up" by glowing brightly as a signal becomes fully confirmed.
Live Conditions Panel: In the bottom-right corner, this panel acts as a detailed pre-flight checklist. It shows the real-time status of every single filter, helping you understand exactly why a trade is (or is not) being triggered.
Energized Trendline: The main SAMA trendline changes color and brightness based on the strength and direction of the trend, providing immediate visual context.
Halving Cycle Visualization: An optional visual guide to the phases of the Bitcoin halving cycle.
Delta Zone Pressure Boxes: A visual guide that draws boxes around candles exhibiting significant buying or selling pressure.
🛠️ How to Use
Indicator version of BTC DTC Strategy: "Alerts-Only Mode" for generating live signals.
Configure Strategy: Start with the default filters. If a potential trade setup is missed, check the Live Conditions Panel to see exactly which filter blocked the signal. Adjust the filters to suit your specific asset and timeframe.
Manage Risk: Adjust the Risk & Exit settings to match your personal risk tolerance.
Ichimoku Trading Signals 2Swing Trading (Strategy 1, H4+ timeframes)
Use the Kumo Cloud to identify the trend: price above a green cloud = uptrend; price below a red cloud = downtrend.
Entry signals occur when price or the Tenkan-sen line crosses the Kijun-sen line, confirmed by Chikou Span momentum.
Exit triggers when price crosses back through the Kijun-sen or when Tenkan-sen crosses back below (for long positions) or above (for short positions).
Place stop-loss orders just beyond the nearest swing low/high candle cluster to manage risk tightly.
Smart Money Time (SMT)SMT Divergence – 90m / 30m / 10m (Prev-Cycle, Real-Time, Trailing)
Purpose:
This indicator finds SMT (Smart Money Technique) divergences between two related markets (e.g., CME_MINI:NQ1! vs CME_MINI:ES1! ). It does this per 90m/30m/10m cycles and only compares the current cycle to the immediately previous cycle —never older. It supports three cycle granularities:
90-minute cycles (9 blocks from 02:30–16:00 NY time)
30-minute sub-cycles (27 blocks)
10-minute sub-cycles (81 blocks; exactly 3 per 30-minute cycle)
For each cycle, the script tracks each symbol’s extreme (highest high for potential bearish SMT, lowest low for potential bullish SMT). When the leader sets a new extreme vs its own previous cycle while the lagger fails to do so vs its previous cycle, an SMT divergence is formed and plotted on the chart in real time. Lines trail as price makes new extremes within the same cycle.
What you’ll see on the chart:
A line from the previous cycle’s extreme to the current cycle’s extreme on the symbol pane where the indicator is applied (Primary A).
An optional text label at the current extreme (e.g., “90m SMT”, “30m SMT”, “10m SMT”).
Lines update (“trail”) as the current cycle goes on. When a new cycle begins, tracking resets for that cycle.
Default styling (editable):
90m SMT: solid, width 1, black
30m SMT: solid, width 1, black
10m SMT: dotted, width 1, black
You can toggle the text on/off and change width, style, and colors separately for 90m, 30m, and 10m.
Signals (definitions)
Bearish SMT: One market makes a Higher High vs its own previous cycle, while the other fails to make a Higher High vs its previous cycle.
Bullish SMT: One market makes a Lower Low vs its own previous cycle, while the other fails to make a Lower Low vs its previous cycle.
The line is drawn on Primary A by default.
Settings (explained)
Symbols
Primary Symbol A – the chart’s “leader/lagger” pane the script draws on.
Comparison Symbol B – the second market used for SMT checks.
Detection toggles
Detect SMT: 90m / 30m / 10m – turn on/off detection for each timeframe.
Note: The script always compares current cycle ↔ previous cycle only.
Validate candle direction
When enabled, the bar that makes the new extreme must also close in the confirming direction on that same market:
Bearish SMT: the bar that made the new Higher High must be a down close (close < open).
Bullish SMT: the bar that made the new Lower Low must be an up close (close > open).
This filter removes many “wick-only” probes and reduces false positives.
Turn off if you prefer to register SMTs on any intrabar extreme, regardless of bar close.
Delete SMT when invalidated
After an SMT forms, if the lagger later breaks the previous extreme it initially failed to break, the divergence is considered invalid and the script deletes the line and its label. (An “SMT invalidated” alert can fire if alerts are enabled.)
Enable alerts
Fires on SMT formed (separate messages for 90m/30m/10m and bullish/bearish) and on SMT invalidated.
To use, click Create Alert on the indicator and choose “Any alert() function call”. Use “Once per bar” (or per bar close) to taste.
Appearance – per timeframe (90m / 30m / 10m)
Bullish/Bearish colors, Line width, Line style, Show text (toggle subtitle label).
Text Options
Text color, Text size, Text offset (vertical spacing from the extreme).
How to use
Add to chart and select two related markets, e.g., NQ (A) vs ES (B).
Choose which cycles to monitor (90m / 30m / 10m).
Optionally enable Validate candle direction to demand a confirming close on the bar that made the extreme.
Watch for plotted SMTs:
Bearish SMT (HH vs no HH) often signals potential weakness
Bullish SMT (LL vs no LL) often signals potential strength
Use SMTs as context/confluence—e.g., near session highs/lows, liquidity pools, PD arrays, or your own levels. Combine with structure, order flow, and risk rules.
Turn on alerts to be notified when SMTs form or are invalidated in real time.
Notes & behavior
New-York session timing: Cycles are fixed windows in America/New_York and automatically handle DST.
Real-time & trailing: Lines trail to the most recent extreme within the same cycle but there’s no look-ahead across cycles.
No repaint across cycles: Each signal is strictly current cycle vs previous cycle.
Cleanup: On invalidation the script deletes the label first, then the line, preventing orphan labels.
Tips
10m SMTs are more frequent/noisier; 90m are fewer but more meaningful. Many traders look for multi-frame agreement (e.g., a 30m SMT aligning with a fresh 10m SMT).
If you want fewer signals, keep Validate candle direction on; if you want maximum sensitivity, turn it off.
Disclaimer: Educational use only. Markets are risky; do your own research and manage risk responsibly.
