BTC Coinbase Premium Index (Adjusted for USDC/USDT)BTC Coinbase Premium Index (Adjusted for USDC/USDT)：
監測Coinbase（美國主流交易所）和Binance（全球最大交易所）之間的BTC價格溢價，讓你及時判斷美國投機者的市場情緒或趨勢轉向。與外面類似指標不同的是，它考慮了USDT的匯率波動（透過USDC/USDT調整），避免了USDT脫鉤導致的假訊號，讓數據更精準可靠。
BTC Coinbase Premium Index (Adjusted for USDC/USDT):
This index monitors the BTC price premium between Coinbase (a major US exchange) and Binance (the world's largest exchange), allowing you to promptly assess US speculator sentiment or trend shifts. Unlike similar indicators, it incorporates USDT exchange rate fluctuations (adjusted via USDC/USDT), avoiding false signals caused by USDT decoupling and ensuring more accurate and reliable data.
頻帶和通道
Support and resistance channelsSupport and resistance channels on the wick which represents support and resistance
VWAP Session and NY CashAuto Anchored VWAPs with Label options
Session starts at 1800 EST
Cash Open or NY Session starts 0930 EST
MA Candle ColorsSelectable sma or ema length combine with candle, when candle is above moving average, both green signals to buy, and when candle is below moving average, both red signals to sell...educational and entertainment only
Berkusa trend 2This is a strategy created purely for educational and testing purposes. It is not recommended for buy/sell decisions. You can test it and provide feedback to see whether it works for trend-following. It is written with a simple logic similar to SuperTrend. I believe it might be useful for scalping. However, do not use it for trading without careful observation.
Smart Money Breakout Signals [GILDEX]Introducing the Smart Money Breakout Signals, a cutting-edge trading indicator designed to identify key structural shifts and breakout opportunities in the market. This tool leverages a blend of smart money concepts like Break of Structure (BOS) and Change of Character (CHoCH) to provide traders with actionable insights into market direction and potential entry or exit points.
Key Features:
✨ Market Structure Analysis: Automatically detects and labels BOS and CHoCH for trend confirmation and reversals.
🎨 Customizable Visualization: Tailor bullish and bearish colors for breakout lines and signals to suit your preferences.
📊 Dynamic Take-Profit Targets: Displays three tiered take-profit levels based on breakout volatility.
🔔 Real-Time Alerts: Stay ahead of the game with notifications for bullish and bearish breakouts.
📋 Performance Dashboard: Monitor signal statistics, including win rates and total signals, directly on your chart.
How to Use:
Add the Indicator: Add the script to your favourites ⭐ and customize settings like market structure horizon and confirmation type.
Tony O's Euler BandsTony O’s Euler Bands is a volatility-based overlay that uses the mathematical constant e (~2.71828) to scale price bands in a non-linear way. Unlike traditional Bollinger Bands or Keltner Channels, these bands are spaced by exponential functions of volatility (σ), creating zones that expand and contract more dynamically across different market regimes.
How it works:
A configurable moving average (EMA/SMA/RMA/WMA) is used as the basis.
Volatility (σ) is calculated as the standard deviation of returns over a user-defined lookback.
Four band levels are plotted above and below the basis at distances equal to:
basis × 𝑒^(𝑚⋅𝜎⋅𝑘)
where m is a user multiplier and k = {2, 4, 6, 8} for each successive band.
This produces inner bands that highlight mild deviations and outer bands that signal extreme moves.
What makes it unique:
Uses e as the base for band expansion instead of linear multiples or Fibonacci ratios.
Bands scale multiplicatively, making them more consistent across assets and price scales.
Multiple symmetric bands per side, color-coded from green (mild) to purple (extreme) for intuitive visual cues.
Optional transparent fill to show volatility envelopes without obscuring price action.
How to use:
Trend monitoring: Sustained closes beyond an inner band can indicate momentum; closes beyond outer bands can signal overextension.
Reversion spotting: Touches on extreme bands (level 4) can highlight potential exhaustion points.
Works on any asset/timeframe; adjust basis length, volatility lookback, and multiplier to suit your market.
BB Squeeze + Keltner Breakout + VolumeHow the Strategy Works
Bollinger Bands Squeeze: The strategy first looks for a "squeeze" in the Bollinger Bands. This happens when the bands narrow significantly, indicating a period of low market volatility and potential consolidation. The bbSqueeze variable becomes true when the Bollinger Bandwidth falls below a set
Elliott Wave Oscillator + PSAR + VolumeStrategy Logic
1. Indicators
Elliott Wave Oscillator (EWO): This oscillator measures the difference between a 5-period and a 35-period exponential moving average (EMA). It's used to identify momentum shifts and potential wave structures. A buy signal is triggered when the EWO crosses above its signal line (a 5-period simple moving average). A sell signal is triggered when it crosses below.
Parabolic SAR (PSAR): This indicator shows potential reversals in price direction. A buy signal requires the PSAR to be below the current price, indicating an uptrend. A sell signal requires the PSAR to be above the current price, indicating a downtrend.
Volume: The strategy checks for significant changes in volume compared to its 20-period simple moving average (SMA). A buy signal requires a volume increase of at least 20% above the SMA. A sell signal requires a volume decrease of at least 20% below the SMA.
EMA 200: This long-term moving average is used to determine the overall market trend. A buy signal is only considered when the EMA 200 is rising (uptrend). A sell signal is only considered when the EMA 200 is falling (downtrend).
2. Entry and Exit Conditions
Long (Buy) Entry: A long position is entered if all of the following conditions are met:
EWO crosses its signal line upwards.
PSAR is below the price.
Volume has increased significantly.
The EMA 200 is rising.
The current candle is a bullish candle (close > open).
Short (Sell) Entry: A short position is entered if all of the following conditions are met:
EWO crosses its signal line downwards.
PSAR is above the price.
Volume has decreased significantly.
The EMA 200 is falling.
The current candle is a bearish candle (close < open).
Exit Conditions: Both long and short positions have a fixed 1% take profit and a 1% stop loss to manage risk.
In summary, the strategy only enters trades when a combination of momentum (EWO), trend (PSAR, EMA 200), and volume indicators align in the same direction, with strict risk management in place.
FFH_Golden Gate StrategyThe FFH_Golden Gate Strategy is a method designed to help identify strong opportunities to enter and exit the market with discipline. It works by following the natural flow of price movements and identifying when prices are trending higher in a consistent way. The strategy uses a special average that adapts to the market, helping to separate meaningful trends from random fluctuations.
A buy signal is generated when the price moves significantly above this average, indicating strong upward momentum. This approach ensures that trades are only taken when the market shows clear strength, rather than during sideways or uncertain conditions.
An exit signal occurs when the price falls below the average, suggesting that the upward trend may be weakening. This allows the strategy to lock in gains and avoid holding positions when the market is turning against you.
Overall, the strategy is based on the simple idea of following the trend, entering on strength, and exiting before losses grow, providing a structured and disciplined approach to trading without relying on guesswork or emotional decisions.
Smart Money Breakout Moving Strength [GILDEX]🟠OVERVIEW
This script draws breakout detection zones called “Smart Money Breakout Channels” based on volatility-normalized price movement and visualizes them as dynamic boxes with volume overlays. It identifies temporary accumulation or distribution ranges using a custom normalized volatility metric and tracks when price breaks out of those zones—either upward or downward. Each channel represents a structured range where smart money may be active, helping traders anticipate key breakouts with added context from volume delta, up/down volume, and a visual gradient gauge for momentum bias.
🟠CONCEPTS
The script calculates normalized price volatility by measuring the standard deviation of price mapped to a scale using the highest and lowest prices over a set lookback period. When normalized volatility reaches a local low and flips upward, a boxed channel is drawn between the highest and lowest prices in that zone. These boxes persist until price breaks out, either with a strong candle close (configurable) or by touching the boundary. Volume analysis enhances interpretation by rendering delta bars inside the box, showing volume distribution during the channel. Additionally, a real-time visual “gauge” shows where volume delta sits within the channel range, helping users spot pressure imbalances.
Smart Money Breakout Moving Strength [GILDEX]🟠OVERVIEW
This script draws breakout detection zones called “Smart Money Breakout Channels” based on volatility-normalized price movement and visualizes them as dynamic boxes with volume overlays. It identifies temporary accumulation or distribution ranges using a custom normalized volatility metric and tracks when price breaks out of those zones—either upward or downward. Each channel represents a structured range where smart money may be active, helping traders anticipate key breakouts with added context from volume delta, up/down volume, and a visual gradient gauge for momentum bias.
🟠CONCEPTS
The script calculates normalized price volatility by measuring the standard deviation of price mapped to a scale using the highest and lowest prices over a set lookback period. When normalized volatility reaches a local low and flips upward, a boxed channel is drawn between the highest and lowest prices in that zone. These boxes persist until price breaks out, either with a strong candle close (configurable) or by touching the boundary. Volume analysis enhances interpretation by rendering delta bars inside the box, showing volume distribution during the channel. Additionally, a real-time visual “gauge” shows where volume delta sits within the channel range, helping users spot pressure imbalances.
Extended AM Range w/ Breakout Markerscreates a range from market starting till 10 am (half an hour into the market
Indicador Millo SMA20-SMA200-AO-RSI M1This indicator is designed for scalping in 1-minute timeframes on crypto pairs, combining trend direction, momentum, and oscillator confirmation.
Logic:
Trend Filter:
Only BUY signals when price is above the SMA200.
Only SELL signals when price is below the SMA200.
Entry Trigger:
BUY: Price crosses above the SMA20.
SELL: Price crosses below the SMA20.
Confirmation Window:
After the price cross, the Awesome Oscillator (AO) must cross the zero line in the same direction within a maximum of N bars (configurable, default = 4).
RSI must be > 50 for BUY and < 50 for SELL at the moment AO confirms.
Cooldown:
A cooldown period (configurable, default = 10 bars) prevents multiple signals of the same type in a short time, reducing noise in sideways markets.
Features:
Works on any crypto pair and can be used in other markets.
Adjustable confirmation window, RSI threshold, and cooldown.
Alerts ready for BUY and SELL conditions.
Can be converted into a strategy for backtesting with TP/SL.
Suggested Use:
Pair: BTC/USDT M1 or similar high-liquidity asset.
Combine with manual support/resistance or higher timeframe trend analysis.
Recommended to confirm entries visually and with additional confluence before trading live.
Bollinger Bands x SmartBlackGirlBollinger Bands — Volatility & Breakout Zones
This Bollinger Bands tool dynamically adapts to market volatility, giving traders a visual framework for spotting overbought/oversold conditions, squeezes, and breakout opportunities.
Key Features
Dynamic Volatility Channels – Upper and lower bands expand during high volatility and contract during quiet periods.
Mean Reversion & Trend Trading – Price touching or piercing the bands can signal potential reversals or strong trend continuation.
Squeeze Detection – Narrowing bands indicate compression, often preceding explosive moves.
Fully Customizable – Adjust period, standard deviation, and colors to match your strategy.
Multi-Timeframe Friendly – Works on any chart, from scalping to swing trading.
How to Use
Squeeze Plays – Watch for band tightening; breakouts often follow.
Reversal Signals – Extreme touches combined with candlestick rejection may indicate turning points.
Trend Riding – Price “walking the band” can confirm strong momentum.
This indicator is ideal for traders who want a clear visual of volatility shifts, helping to anticipate when markets are likely to break out or revert to the mean.
Trading Sessionsconst string TZ_TOOLTIP_TEXT = "The session's time zone, specified in either GMT notation (e.g., 'GMT-5') or as an IANA time zone database name (e.g., 'America/New_York')."
smcCore Positioning
A comprehensive trading tool integrating trend tracking, price action, and Smart Money Concepts (SMC). Suitable for multiple assets like cryptocurrencies and forex, it specializes in scalping and swing trading, directly usable on the TradingView platform.
Key Features
Trend Identification
Supertrend: Generates buy/sell signals (🚀 for long, 🐻 for short) when price crosses the trend channel, indicating trend direction.
Cirrus Cloud: Green denotes bullish trends, red for bearish trends, visually reflecting trend strength.
Market Structure Analysis
Identifies BOS (Break of Structure) and CHoCH (Change of Character) to mark short-term (internal structure) and long-term (swing structure) price turning points.
Order Blocks (OB) & Fair Value Gaps (FVG): Highlights institutional capital concentration zones and price gaps, signaling potential support/resistance levels.
Risk Management
Automatically calculates 3 take-profit levels (TP1-TP3) and 1 stop-loss (SL), dynamically adjusted based on ATR. Specific prices and lines are displayed on the chart.
Auxiliary Tools
ADX Indicator: Judges trend strength; purple marks sideways ranges (low signal reliability).
Multi-timeframe compatibility: Optimized for 15-minute charts to adapt to high volatility in cryptocurrencies, with adjustable parameters to filter noise.
Use Cases
Scalping: Combine 15-minute FVG fills and order block breakouts for quick entries/exits.
Swing Trading: Leverage trend cloud + structure breakout signals to capture medium-term trends.
Suitability: Ideal for traders comfortable with short-term volatility and basic technical analysis.
Bollinger Bands x SamrtBlackGirlBollinger Bands — Volatility & Breakout Zones
This Bollinger Bands tool dynamically adapts to market volatility, giving traders a visual framework for spotting overbought/oversold conditions, squeezes, and breakout opportunities.
Key Features
Dynamic Volatility Channels – Upper and lower bands expand during high volatility and contract during quiet periods.
Mean Reversion & Trend Trading – Price touching or piercing the bands can signal potential reversals or strong trend continuation.
Squeeze Detection – Narrowing bands indicate compression, often preceding explosive moves.
Fully Customizable – Adjust period, standard deviation, and colors to match your strategy.
Multi-Timeframe Friendly – Works on any chart, from scalping to swing trading.
How to Use
Squeeze Plays – Watch for band tightening; breakouts often follow.
Reversal Signals – Extreme touches combined with candlestick rejection may indicate turning points.
Trend Riding – Price “walking the band” can confirm strong momentum.
This indicator is ideal for traders who want a clear visual of volatility shifts, helping to anticipate when markets are likely to break out or revert to the mean.
Pajinko DivergencePJK DIVERGENCE is a custom indicator designed to detect market divergence with high precision by combining multiple key market metrics.
It analyzes the relationship between Price Action and key momentum/trend indicators such as RSI, MACD, ADX, and Volume to highlight potential reversal or trend continuation opportunities.
This multi-layer approach allows traders to:
Spot bullish divergence (when price makes lower lows but momentum makes higher lows).
Spot bearish divergence (when price makes higher highs but momentum makes lower highs).
Filter out weak signals by confirming with trend strength (ADX) and volume activity.
How It Works
The script continuously compares price swings with momentum oscillators to identify divergence.
Bullish signals appear when momentum shows strength despite falling prices.
Bearish signals appear when momentum weakens despite rising prices.
ADX is used to confirm trend conditions, and Volume is analyzed to validate market participation.
How to Use
Apply PJK DIVERGENCE to your chart.
Look for bullish or bearish divergence markers and confirm with trend/volume conditions.
Use divergence signals as an early warning for possible trend reversals or as confirmation for existing trade setups.
For best results, combine with the Semi-Auto EA “Cyborg” to manage entries, exits, and risk.
Example Use Cases
Swing Trading: Spot reversal zones before major price movements.
Trend Following: Use divergence to identify potential pullbacks within a trend.
Breakout Trading: Confirm breakout strength by checking for the absence of bearish divergence.
FlowScape PredictorFlowScape Predictor is a non-repainting, regime-aware entry qualifier that turns complex market context into two readiness scores (Long & Short, each 0/25/50/75/100) and clean, confirmed-bar signals. It blends three orthogonal pillars so you act only when trend energy, momentum, and location agree:
Regime (energy): ATR-normalized linear-regression slope of a smooth HMA → EMA baseline, gated by ADX to confirm when pressure is meaningful.
Momentum (push): RSI slope alignment so price has directional follow-through, not just drift.
Structure (location): proximity to pivot-confirmed swings, scaled by ATR, so “ready” appears near constructive pullbacks—not mid-trend chases.
A soft ATR cloud wraps the baseline for context. A yellow Predictive Baseline extends beyond the last bar to visualize near-term trajectory. It is visual-only: scores/alerts never use it.
What you see
Baseline line that turns green/red when regime is strong in that direction; gray when weak.
ATR cloud around the baseline (context for stretch and pullbacks).
Scores (Long & Short, 0–100 in steps of 25) and optional “L/S” icons on bar close.
Yellow Predictive Baseline that extends to the right for a few bars (visual trajectory of the smoothed baseline).
The scoring system (simple and transparent)
Each side (Long/Short) sums four binary checks, 25 points each:
Regime aligned: trendStrong is true and LR slope sign favors that side.
Momentum aligned: RSI side (>50 for Long, <50 for Short) and RSI slope confirms direction.
Baseline side: price is above (Long) / below (Short) the baseline.
Location constructive: distance from the last confirmed pivot is healthy (ATR-scaled; not overstretched).
Valid totals are 0, 25, 50, 75, 100.
Best-quality signal: 100/0 (your side/opposite) on bar close.
Good, still valid: 75/0, especially when the missing block is only “location” right as price re-engages the cloud/baseline.
Avoid: 75/25 or any opposition > 0 in a weak (gray) regime.
The Predictive (Kalman) line — what it is and isn’t
The yellow line is a visual forward extension of the smoothed baseline to help you see the current trajectory and time pullback resumptions. It does not predict price and is excluded from scores and alerts.
How it’s built (plain English):
We maintain a one-dimensional Kalman state x as a smoothed estimate of the baseline. Each bar we observe the current baseline z.
The filter adjusts its trust using the Kalman gain K = P / (P + R) and updates:
x := x + K*(z − x), then P := (1 − K)*P + Q.
Q (process noise): Higher Q → expects faster change → tracks turns quicker (less smoothing).
R (measurement noise): Higher R → trusts raw baseline less → smoother, steadier projection.
What you control:
Lead (how many bars forward to draw).
Kalman Q/R (visual smoothness vs. responsiveness).
Toggle the line on/off if you prefer a minimal chart.
Important: The predictive line extends the baseline, not price. It’s a visual timing aid—don’t automate off it.
How to use (step-by-step)
Keep the chart clean and use a standard OHLC/candlestick chart.
Read the regime: Prefer trades with green/red baseline (trendStrong = true).
Check scores on bar close:
Take Long 100 / Short 0 or Long 75 / Short 0 when the chart shows a tidy pullback re-engaging the cloud/baseline.
Mirror the logic for shorts.
Confirm location: If price is > ~1.5 ATR from its reference pivot, let it come back—avoid chasing.
Set alerts: Add an alert on Long Ready or Short Ready; these fire on closed bars only.
Risk management: Use ATR-buffered stops beyond the recent pivot; target fixed-R multiples (e.g., 1.5–3.0R). Manage the trade with the baseline/cloud if you trail.
Best-practice playbook (quick rules)
Green light: 100/0 (best) or 75/0 (good) on bar close in a colored (non-gray) regime.
Location first: Prefer entries near the baseline/cloud right after a pullback, not far above/below it.
Avoid mixed signals: Skip 75/25 and anything with opposition while the baseline is gray.
Use the yellow line with discretion: It helps you see rhythm; it’s not a signal source.
Timeframes & tuning (practical defaults)
Intraday indices/FX (5m–15m): Demand 100/0 in chop; allow 75/0 when ADX is awake and pullback is clean.
Crypto intraday (15m–1h): Prefer 100/0; 75/0 on the first pullback after a regime turn.
Swing (1h–4h/D1): 75/0 is often sufficient; 100/0 is excellent (fewer but cleaner signals).
If choppy: raise ADX threshold, raise the readiness bar (insist on 100/0), or lengthen the RSI slope window.
What makes FlowScape different
Energy-first regime filter: ATR-normalized LR slope + ADX gate yields a consistent read of trend quality across symbols and timeframes.
Location-aware entries: ATR-scaled pivot proximity discourages mid-air chases, encouraging pullback timing.
Separation of concerns: The predictive line is visual-only, while scores/alerts are confirmed on close for non-repainting behavior.
One simple score per side: A single 0–100 readiness figure is easier to tune than juggling multiple indicators.
Transparency & limitations
Scores are coarse by design (25-point blocks). They’re a gatekeeper, not a promise of outcomes.
Pivots confirm after right-side bars, so structure signals appear after swings form (non-repainting by design).
Avoid using non-standard chart types (Heikin Ashi, Renko, Range, etc.) for signals; use a clean, standard chart.
No lookahead, no higher-timeframe requests; alerts fire on closed bars only.
