EMA Envelope + SMA + Purple DotThis indicator combines three tools into one:
📈 EMA Envelope with wedge and range contraction signals to highlight volatility squeezes.
🔵 SMA with optional smoothing (SMA/EMA/WMA/SMMA/VWMA) and optional Bollinger Bands.
🟣 Purple Dot “PowerBars” that mark strong momentum bars when price ROC (%) and volume exceed user-defined thresholds.
It also includes:
Background highlighting of contraction zones (bullish/bearish/neutral colors).
A summary table showing PowerBar count and return (%) over custom lookback periods.
Flexible display settings (table position, dark/light theme, highlight toggle).
Designed for traders who want to track momentum bursts, volatility contraction, and trend strength all in one tool.
Jalur dan Saluran
EMA 3 vs EMA 21 % Difference AdjustableTitle: EMA 3 vs EMA 21 % Difference with Adjustable Labels
Description:
This script calculates the percentage difference between EMA 3 and EMA 21 and displays it directly on the chart as a label. Labels are shown only when the difference exceeds a user-defined threshold, helping traders easily spot significant deviations.
Features:
Calculates EMA 3 and EMA 21.
Displays percentage difference as labels above or below candles.
Adjustable label style and size.
User-defined percentage threshold for label visibility.
Plots EMA lines for visual reference.
Ideal for traders who want to monitor short-term EMA divergence relative to a longer-term trend in a clean and customizable way.
Preston Pysh - BTC Power Law in Any Fiat CurrencyThis tool helps a user understand what the power law suggests the expected annual CAGR is for any currency (can be adjusted in the settings). It also shows the project price (in said fiat currency) for the next ten years.
Logarithmic Bollinger Bands with Secondary BandThe Logarithmic Bollinger Bands indicator is a variation of standard Bollinger Bands that applies the calculation on a logarithmic scale rather than directly on price values. This approach is particularly useful in markets where assets experience exponential growth or large percentage-based moves, as it allows the bands to adapt proportionally instead of being distorted by absolute price changes. The indicator calculates a moving average of the log-transformed price (the basis), then adds and subtracts multiples of the standard deviation of the log price to form the upper and lower bands. Finally, the results are converted back to normal price scale for plotting. In addition to the primary bands set at 2.0 standard deviations, this version includes a secondary band set at 0.5 standard deviations, offering a closer inner envelope around the mean.
To use this indicator
Traders can observe how price interacts with both the inner and outer bands. The outer 2.0 standard deviation bands represent traditional Bollinger-style boundaries, highlighting potential overbought or oversold conditions when price pushes beyond them.
The inner 0.5 bands provide an earlier signal of price compression and breakout potential, as moves outside these tighter bands often precede larger volatility expansions.
Together, these dual layers give traders a way to monitor both short-term fluctuations and broader trend extremes, making it easier to spot opportunities for entries, exits, or risk management in markets where percentage-based scaling is more meaningful than raw price levels.
My scriptadvanced indicators layered into your existing multi-indicator strategy. This version is built for serious precision and trend validation.
TheWave + Supertrend Hybrid w/ Signals• Green triangle below bar → Long entry signal
• Red triangle above bar → Short entry signal
• Small lime cross above/below → Take-profit hit
• Small maroon cross above/below → Stop-loss hit
• SMA5 and Supertrend lines for trend context
This version makes all entries and exits visually obvious while keeping the hybrid TheWave + Supertrend logic intact.
TheWaveStrategy v6 - QQE + ATR (Optional Trailing)New Version Of the wave with QQE and ATR
• Compiles cleanly in Pine v6.
• Optional trailing stop toggle via useTrailingATR.
• Market exit uses strategy.close() properly.
• ATR spike filter uses 5m ATR.
• QQE confluence with 30m timeframe included.
MA Ribbon ExtendedCombines multiple moving averages (SMA, EMA, WMA, ALMA, HMA, DEMA, TEMA, SMMA, KAMA, FRAMA, McGinley) and VWAP ±σ bands into one indicator. The indicator is fully customizable based on type, period length, timeframe, visibility, and color settings.
Simple Volume Analyzer..This is a simple yet powerful volume indicator that colors volume bars based on whether they are above or below a moving average. Useful for identifying breakouts and low-volume zones.
EMA Cross + KC Breakout + ATR StopThis uses an adjustable EMA Cross with an adjustable Keltner Channel breakout filter to identify trend breakouts for Long/Short entries. An adjustable ATR Stop is also provided for your entries.
Auto-Anchored MA with Deviation BandsAuto-Anchored MA with Deviation Bands
✨ Features
📈 Auto-Anchored MA: Calculates moving averages (EMA, SMA, EWMA, WMA, VWAP, TEMA) anchored to user-defined periods (Hour, Day, Week, etc.).📏 Deviation Bands: Plots upper/lower bands using Percentage or Standard Deviation modes for volatility analysis.⚙️ Customizable Timeframes: Choose anchor periods from Hour to Year for flexible trend analysis.🎨 Visuals: Displays MA and bands with gradient fills, customizable colors, and adjustable display bars.⏱️ Countdown Table: Shows bars since the last anchor for easy tracking.🛠️ Smoothing: Applies smoothing to bands for cleaner visuals.
🛠️ How to Use
Add to Chart: Apply the indicator on TradingView.
Configure Inputs:
Anchor Settings: Select anchor period (e.g., Day, Week).
MA Settings: Choose MA type (e.g., VWAP, TEMA).
Deviation Settings: Set deviation mode (Percentage/Std Dev) and multipliers.
Display Settings: Adjust bars to display, colors, and gradient fill.
Analyze: View MA, deviation bands, and countdown table on the chart.
Track Trends: Use bands as dynamic support/resistance and monitor anchor resets.
🎯 Why Use It?
Dynamic Analysis: Auto-anchors MA to key timeframes for adaptive trend tracking.
Volatility Insight: Deviation bands highlight potential breakouts or reversals.
Customizable: Tailor MA type, timeframe, and visuals to your trading style.
User-Friendly: Clear visuals and countdown table simplify analysis.
📝 Notes
Ensure sufficient bars for accurate MA and deviation calculations.
Gradient fill enhances readability but can be disabled for simplicity.
Best used with complementary indicators like RSI or Bollinger Bands for robust strategies.
Happy trading! 🚀📈
MoneyZone_SmartEleZone of action which helps identify smart money actioned. This bands help identify possible areas to expect action.
Strong Levels (Safe Version)Strong Levels (Safe Version)
This indicator automatically detects and plots strong support and resistance levels based on pivot highs/lows and the number of touches. It’s designed to highlight only the most reliable levels by filtering with ATR tolerance and minimum touch requirements.
Features:
Detects pivot-based support and resistance zones
Adjustable left/right candles for pivot sensitivity
Minimum touches filter to confirm significant levels
ATR-based tolerance for flexible clustering of nearby levels
Maximum levels limit for cleaner charts
Automatic color coding (teal = support, red = resistance)
Safe version with optimized handling of line objects (up to 500 lines)
Parameters:
Left / Right candles – sensitivity of pivot detection
Min. touches – minimum confirmations required to display a level
ATR period & multiplier – tolerance range for grouping nearby levels
Max levels – limits the number of active levels
Colors – customize support and resistance lines
Usage:
This tool helps traders quickly identify the strongest price levels where market reactions are most likely. Use it to find high-probability entry, exit, or stop-loss zones in any market and timeframe.
PCV (Darren.L-V2)Description:
This indicator combines Bollinger Bands, CCI, and RVI to help identify high-probability zones on M15 charts.
Features:
Bollinger Bands (BB) – displayed on the main chart in light gray. Helps visualize overbought and oversold price levels.
CCI ±100 levels + RVI – displayed in a separate sub-window:
CCI only shows the ±100 reference lines.
RVI displays a cyan main line and a red signal line.
Valid Zone Detection:
Candle closes outside the Bollinger Bands.
RVI crosses above +100 or below -100 (CCI level reference).
Candle closes back inside the BB, confirming a price rebound.
Requires two touches in the same direction to confirm the zone.
Only zones within 20–30 pips range are considered valid.
Usage:
Helps traders spot reversal or bounce zones with clear visual signals.
Suitable for all indices, Forex, and crypto on M15 timeframe.
VWAP Pro v6 (Color + Bands)AI helped me code VWAP
When price goes above VWAP line, VWAP line will turn green to indicate buyers are in control.
When price goes below VWAP line, VWAP line will turn red to indicate sellers are in control.
VWAP line stays blue when price is considered fair value.
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools.
Recommended Input Parameters
These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading.
Fast EMA Length (emaFastLen): 9
Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe.
Slow EMA Length (emaSlowLen): 21
Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction.
RSI Length (rsiLen): 14
Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes.
RSI Overbought (rsiOverbought): 75
Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets.
RSI Oversold (rsiOversold): 25
Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals.
MACD Fast Length (macdFast): 12
Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals.
MACD Slow Length (macdSlow): 26
Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much.
MACD Signal Smoothing (macdSignal): 9
Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart.
Bollinger Bands Length (bbLen): 20
Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets.
Bollinger Bands Multiplier (bbMult): 2.0
Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets.
Stop Loss % (slPerc): 0.8%
Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable.
Take Profit % (tpPerc): 1.5%
Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits.
Use Candlestick Patterns (useCandlePatterns): True
Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets.
Use Volume Filter (useVolumeFilter): True
Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets.
Signal Arrow Size (signalSize): 2.0
Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action.
Background Highlight Transparency (bgTransparency): 85
Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter.
How to Apply These Parameters
Copy the Script: Use the Pine Script provided in the previous response.
Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart."
Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields.
Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart.
Fine-Tuning for Optimal Performance
To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features:
Backtesting:
Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance).
Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester.
Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways).
Parameter Optimization:
In the Strategy Tester, click the settings gear next to the strategy name.
Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0).
Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data.
Market-Specific Adjustments:
Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings.
Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better.
Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends.
Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise.
Forward Testing:
After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions.
Important Notes
No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices.
Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance.
Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare.
Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds.
If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
Sinyal Gabungan Lengkap (TWAP + Vol + Waktu)Sinyal Gabungan Lengkap (TWAP + Vol + Waktu) volume btc dan total3 dan ema
Playbook//@version=6
indicator('Playbook', overlay = true, scale = scale.right)
// === Inputs ===
useYesterdayPOC = input.bool(true, 'Use Yesterday\'s POC (else Today’s Developing)')
atrLength = input.int(14, 'ATR Length', minval = 1)
stretchMult = input.float(1.5, 'Stretch Threshold (in ATRs)', minval = 0.1, step = 0.1)
showBands = input.bool(true, "Show Stretch Bands")
useAnchoredVWAP = input.bool(true, "Show Anchored VWAP")
anchorDate = input.time(timestamp("01 Jan 2023 00:00 +0000"), "VWAP Anchor Date")
// === ATR ===
atr = ta.atr(atrLength)
isNewDay = ta.change(time('D')) != 0
// === VWAP as POC Approximation ===
todayVWAP = ta.vwap
var float yVWAP = na
if isNewDay
yVWAP := todayVWAP
activePOC = useYesterdayPOC and not na(yVWAP) ? yVWAP : todayVWAP
// === Stretch Bands ===
upperBand = activePOC + atr * stretchMult
lowerBand = activePOC - atr * stretchMult
// Plot stretch bands
pocColor = color.yellow
bandFill = plot(upperBand, "Upper Band", color=color.red, linewidth=1, display=showBands ? display.all : display.none)
bandFill2 = plot(lowerBand, "Lower Band", color=color.green, linewidth=1, display=showBands ? display.all : display.none)
pocLine = plot(activePOC, "POC Target", color=pocColor, linewidth=2)
fill(bandFill, bandFill2, color=color.new(color.gray, 90))
// === Anchored VWAP ===
anchoredVWAP = ta.vwap(ta.change(time) >= anchorDate ? close : na)
plot(useAnchoredVWAP ? anchoredVWAP : na, "Anchored VWAP", color=color.blue, linewidth=2)
// === STATUS TABLE ===
var table statusTable = table.new(position.bottom_right, 1, 1, border_width=1, border_color=color.gray)
insideBands = close <= upperBand and close >= lowerBand
statusText = insideBands ? "WAIT" : "TRADE AVAILABLE"
statusColor = insideBands ? color.orange : color.green
table.cell(statusTable, 0, 0, statusText, text_color=color.rgb(5, 4, 4), bgcolor=statusColor)
// === Heatmap ===
bgcolor(close > upperBand ? color.new(color.red, 80) : close < lowerBand ? color.new(color.green, 80) : color.new(color.orange, 90))
On-Chain Metrics & Z-Mode SelectionThis indicator provides an on-chain metric analysis framework for cryptocurrencies (currently limited to) BTC and ETH; allowing users to select from popular metrics such as SOPR, Profit Addresses %, NUPL, or MVRV.
It enables various analyses on the chosen metric to capture momentum and rate of change dynamics over time.
Analyses include:
Normalization techniques utilizing Mean or Median with standard deviation, as well as a 'Robust' method using interquartile range-based Z-scoring to accommodate skewed distributions, or raw values without normalization.
An optional differential calculation that highlights the rate of change (first derivative) of the metric.
Moving average smoothing with up to two passes, supporting EMA, SMA, or WMA types.
Optional sigmoid-based compression that scales and centers the indicator output, improving interpretability, mitigating extreme outliers, and allowing the user to scale the output so that the step size or increment of the long and short thresholds remains within a workable range.
Buy and sell signals are generated based on configurable long and short thresholds applied to the processed output.
Visual components such as trend colouring, threshold lines, background shading, and labels make it simple for traders to identify entry signals.
This indicator is suitable for those looking to integrate blockchain behavioral insights into their trading decisions.
Overall, this script transforms complex on-chain data into actionable trade signals by combining adaptive normalization and smoothing techniques. Its versatility and multi-metric support make it a valuable tool for both market monitoring and strategy development.
No financial decisions should be made based solely on this indicator. Always conduct your own research. .
Acknowledgements
Inspiration drawn from: CipherDecoded
