Argentum Flag [AGP]Ver.2.1Technical Description of the "Argentum Flag " Indicator
The "Argentum Flag " is a multifaceted trading indicator designed to provide a comprehensive view of market dynamics by combining elements of trend, volatility, momentum, and volume analysis. Its architecture is built on the synergy of multiple technical tools, allowing traders to make more informed decisions by reducing market noise and focusing on high-probability inflection points.
1. Dynamic AGP Bands (EMA 36 and Percentage Levels)
The core of the indicator is a 36-period Exponential Moving Average (EMA), which acts as the price's baseline and center of gravity. From this EMA, the script plots dynamic bands at predefined percentages (Base, Prime, and Vortex).
Logic: These bands are not static like Bollinger Bands; they expand and contract in response to the underlying EMA. This methodology helps identify relative volatility and trend strength. When the price trades within these bands, it's considered to be in a range or a controlled consolidation.
Benefit to the Trader: They provide a quick visual of dynamic support and resistance levels. A price movement beyond the Vortex band can signal an extreme market imbalance, suggesting potential trend exhaustion or a high-energy breakout.
2. Breakout Signals (Signals)
The indicator generates plotshape signals when the price stays outside the volatility bands for a specific number of consecutive bars (2 for the Prime band and 3 for the Vortex band).
Logic: These signals act as an overextension detection system. The underlying principle is that once the price breaks and holds outside these zones, the probability of a pullback or a reversal increases significantly. The lastSignalBarIndex logic prevents signal overload and ensures a cooling-off period, eliminating noise from consecutive signals.
Benefit to the Trader: It provides clear visual alerts for taking profits or looking for potential reversals. A trader can use the Vortex band exit signal (⌾) as confirmation to close a long or short position, while the Prime band signal (⍲) can indicate a potential pullback for a trend-following entry.
3. Bar Volume Analysis (Barcolor)
The script introduces a sophisticated bar coloring system that classifies volume activity relative to a 50-period Simple Moving Average (SMA).
Logic: The coloring is based not only on whether the bar is bullish or bearish but also on the magnitude of the volume. For instance, extreme volume (more than 3.5 times the average volume) is colored blue, indicating institutional participation or a high-impact event. High (1.8x) or average (0.6x - 1.7x) volume is distinguished with other colors, providing a visual map of the underlying strength behind each price move.
Benefit to the Trader: It allows for a quick identification of bars with the highest market conviction. A bearish price bar with extreme volume (extreme_volume_bearish) might signal significant liquidation, while a bullish bar with extreme volume (extreme_volume_bullish) could suggest strong accumulation.
4. Real-Time Monitoring Tables (EMA and RSI)
The indicator includes two data tables in the bottom corner of the screen, acting as a dashboard for multi-timeframe analysis.
EMA Table (Fibonacci): This table shows the current values of a series of Fibonacci-based EMAs (13, 21, 34, etc.). The background color of each cell indicates whether the current price is above (white) or below (blue) the corresponding EMA.
Logic: This table allows traders to assess the trend bias across different timeframes, from short to long-term. An alignment of multiple EMAs in the same direction (e.g., all white) confirms a strong trend.
Benefit to the Trader: It provides a quick check for trend confirmation. For example, before opening a long position on a 5-minute chart, a trader can verify if the overall trend on higher timeframes (e.g., 4h or 1D) is also bullish.
RSI Table (Multi-Timeframe): This table shows the Relative Strength Index (RSI) values across multiple timeframes, from 1 minute to monthly. The cell lights up orange if the RSI is in the overbought zone (> 77) or white if it's in the oversold zone (< 23).
Logic: The use of request.security enables the fetching of data from other timeframes on the current bar. This is a crucial component for multi-timeframe divergence analysis.
Benefit to the Trader: It helps identify overbought or oversold conditions across different trading horizons, which is vital for spotting large-scale reversals. If the 1D and 4h RSIs are overbought, a long position on a lower timeframe could be high-risk.
Competitive Advantages for Traders
The "Argentum Flag " is not just a simple indicator; it's a consolidated technical analysis suite that saves time and effort. Instead of overlaying multiple indicators, a trader gets all the relevant information in a single view. The contextualized volume analysis and volatility-based signals are invaluable tools for filtering out low-quality entries and exits. Finally, the real-time monitoring tables provide a multi-timeframe perspective that is fundamental for validating market direction and managing risk.
In trading, the convergence of multiple technical data points is key to increasing the probability of success. This indicator provides precisely that convergence, enabling both novice and experienced traders to make more precise and strategic decisions.
Risk Warning (Disclaimer)
Trading in financial markets carries a significant risk of loss and is not suitable for all investors. The information and signals provided by this indicator are for educational and analysis purposes only and should not be construed as financial advice. The past performance of any trading system or methodology is not necessarily indicative of future results. The user assumes all responsibility for their own trading decisions and any resulting losses or gains.
バンドとチャネル
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.
TradeIQ 3.29 • Smart Market Direction [TH]TradeIQ is designed to guide traders with predictive arrows that highlight potential market peaks and reversal zones. It also provides entry point guidance along with suggested TP/SL zones, giving you a practical framework for trade planning.
✅ Key Features:
• Predictive arrows for possible turning points
• Visual guide for entry opportunities
• Suggested TP/SL zones for trade management
• Works across Forex, Gold, Crypto, and Indices
• Fully customizable to match your trading style
Built from years of trading experience, TradeIQ gives traders a clear visual roadmap to support decision-making — not rigid signals.
👉 Perfect for traders who want guidance, structure, and clarity in the markets.
TradeIQ 3.29 • Smart Market Direction [EN]TradeIQ is designed to guide traders with predictive arrows that highlight potential market peaks and reversal zones. It also provides entry point guidance along with suggested TP/SL zones, giving you a practical framework for trade planning.
✅ Key Features:
• Predictive arrows for possible turning points
• Visual guide for entry opportunities
• Suggested TP/SL zones for trade management
• Works across Forex, Gold, Crypto, and Indices
• Fully customizable to match your trading style
Built from years of trading experience, TradeIQ gives traders a clear visual roadmap to support decision-making — not rigid signals.
👉 Perfect for traders who want guidance, structure, and clarity in the markets.
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.
SMC + FVG + EMA + TrendlinesSMC + FVG + EMA + Trendlines legRange = math.abs(structureHigh - structureLow) // <-- เปลี่ยนชื่อจาก range -> legRange
if showCurrentStruct and not na(structureHigh) and not na(structureLow)
if na(curHighLine) == false
line.delete(curHighLine)
if na(curLowLine) == false
line.delete(curLowLine)
curHighLine := line.new(sHighIdx, structureHigh, bar_index, structureHigh, xloc.bar_index, color=currentStructColor, style=currentStructStyle, width=currentStructWidth)
curLowLine := line.new(sLowIdx, structureLow, bar_index, structureLow, xloc.bar_index, color=currentStructColor, style=currentStructStyle, width=currentStructWidth)
// ---------- Fibonacci on current leg ----------
if showFibo and legRange > 0
for k = 0 to array.size(fLevels) - 1
lvl = array.get(fLevels, k)
price = sDir == 1 ? structureHigh - (legRange - legRange * lvl)
: structureLow + (legRange - legRange * lvl)
l = line.new(sDir == 1 ? sHighIdx : sLowIdx, price, bar_index, price, xloc.bar_index, color=fiboColorMain, style=fiboStyle, width=fiboWidth)
label.new(bar_index + 10, price, str.tostring(lvl) + " (" + str.tostring(price) + ")", style=label.style_none, textcolor=fiboColorMain)
LUCEO ENVLUCEO ENV — 순차 분할매수 & 타임아웃·익절 관리 인디케이터
개요
LUCEO ENV는 중심선(SMA) 기준 하단 엔벨로프(L1/L2/L3)에 닿을 때 1·2·3차 순차 분할매수를 가정하고, 체결마다 평단을 재계산하여 **평단대비 목표익절(TP)**을 제시합니다. 각 단계 진입 후에는 **타임아웃(예: 20시간)**이 독립적으로 적용되어, 목표가 도달 전 일정 시간이 지나면 강제 종료(타임아웃 청산) 신호를 제공합니다.
동일 봉에서 L1·L2·L3가 동시에 충족되면 동시에 모두 체결될 수 있도록 설계되어 있습니다.
핵심 기능
엔벨로프 기반 3단계 분할매수: L1/L2/L3(%)에 도달 시 단계별 가중치(w1/w2/w3)만큼 매수 가정
동일 봉 다중 체결 허용: L1·L2·L3가 한 캔들에서 동시에 충족되어도 순차/동시 체결 처리
평단/익절 자동 갱신: 체결마다 평단가 및 익절 목표가(평단 × (1+TP%)) 재계산
단계별 타임아웃 종료: 1·2·3차 각각의 마지막 진입 시각으로부터 설정 시간 경과 시 “타임아웃 종료”
리셋 조건 단순화: 익절 또는 타임아웃 시에만 상태·평단·TP 전부 초기화 (중심선 돌파 리셋 없음)
알림(Alerts): 1차/2차/3차 매수, 익절, 타임아웃에 대한 즉시 알림 제공
---------------------------------------------------------------------------------------------------------------------
LUCEO ENV — Sequential Scale-In & Timeout / Take-Profit Management Indicator
Overview
LUCEO ENV assumes 1st/2nd/3rd staged entries when price touches the lower envelopes (L1/L2/L3) built from an SMA baseline. After each fill, it recalculates the weighted average entry and projects a take-profit relative to the average entry (TP). An independent timeout (e.g., 20 hours) starts after each stage is filled; if price fails to hit the target before the timer expires, a forced exit (timeout close) signal is generated.
If L1/L2/L3 are all touched within the same candle, the script allows all stages to fill in that bar.
Key Features
Envelope-based 3-stage scale-in: When price reaches L1/L2/L3 (%), assumes a buy with the corresponding weights (w1/w2/w3).
Same-bar multi-fills allowed: If L1–L3 are met within a single candle, sequential/simultaneous fills are handled.
Auto average/TP updates: After each fill, recalculates the average entry and updates the TP (Average × (1 + TP%)).
Stage-specific timeouts: From the last fill time of each stage; once elapsed, emits a “Timeout Exit”.
Simplified reset logic: Fully resets state/average/TP only on take-profit or timeout (no SMA-cross reset).
Alerts: Instant alerts for 1st/2nd/3rd buy, take-profit, and timeout.
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
PCV Setup (By Darren.L)The PCV Setup is designed for M15 scalping trading.
It combines Bollinger Bands (volatility), CCI (momentum), and RVI (trend confirmation) to filter false signals and improve accuracy.
Most-Crossed Channels (FAST • Top-K • Flexible Window)//@version=5
indicator("Most-Crossed Channels (FAST • Top-K • Flexible Window)", overlay=true, max_boxes_count=60, max_labels_count=60)
// ---------- Inputs ----------
windowMode = input.string(defval="Last N Bars", title="Scan Window", options= )
barsLookback = input.int(defval=800, title="If Last N Bars → how many?", minval=100, maxval=5000)
sess = input.session(defval="0830-1500", title="Session (exchange tz)")
sessionsBack = input.int(defval=1, title="If Last N Sessions → how many?", minval=1, maxval=10)
minutesLookback = input.int(defval=120, title="If Last X Minutes → how many?", minval=5, maxval=24*60)
sinceTs = input.time(defval=timestamp("2024-01-01T09:30:00"), title="Since time (chart tz)")
channelsK = input.int(defval=3, title="How many channels (Top-K)?", minval=1, maxval=10)
binTicks = input.int(defval=8, title="Bin width (ticks)", minval=1, maxval=200) // NQ tick=0.25; 8 ticks = 2.0 pts
minSepTicks = input.int(defval=12, title="Min separation between channels (ticks)", minval=1, maxval=500)
countSource = input.string(defval="Wick (H-L)", title="Count bars using", options= )
drawMode = input.string(defval="Use Candle", title="Draw channel as", options= )
anchorPart = input.string(defval="Body", title="If Use Candle → part", options= )
fixedTicks = input.int(defval=8, title="If Fixed Thickness → thickness (ticks)", minval=1, maxval=200)
extendBars = input.int(defval=400, title="Extend to right (bars)", minval=50, maxval=5000)
showLabels = input.bool(defval=true, title="Show labels with counts")
// ---------- Colors ----------
colFill = color.new(color.blue, 78)
colEdge = color.new(color.blue, 0)
colTxt = color.white
// ---------- Draw caches (never empty) ----------
var box g_boxes = array.new_box()
var label g_lbls = array.new_label()
// ---------- Helpers ----------
barsFromMinutes(mins, avgBarMs) =>
ms = mins * 60000.0
int(math.max(2, math.round(ms / nz(avgBarMs, 60000.0))))
// First (oldest) candle in whose selected part contains `level`
anchorIndexForPrice(level, useBody, scanNLocal) =>
idx = -1
for m = 1 to scanNLocal - 1
k = scanNLocal - m // oldest → newest
o = open
c = close
h = high
l = low
topZ = useBody ? math.max(o, c) : h
botZ = useBody ? math.min(o, c) : l
if level >= botZ and level <= topZ
idx := k
break
idx
// ---------- Window depth ----------
inSess = not na(time(timeframe.period, sess))
sessStartIdx = ta.valuewhen(inSess and not inSess , bar_index, 0)
sessStartIdxN = ta.valuewhen(inSess and not inSess , bar_index, sessionsBack - 1)
sinceStartIdx = ta.valuewhen(time >= sinceTs and time < sinceTs, bar_index, 0)
avgBarMs = ta.sma(time - time , 50)
depthRaw = switch windowMode
"Last N Bars" => barsLookback
"Today (session)" => bar_index - nz(sessStartIdx, bar_index)
"Last N Sessions" => bar_index - nz(sessStartIdxN, bar_index)
"Last X Minutes" => barsFromMinutes(minutesLookback, avgBarMs)
"Since time" => bar_index - nz(sinceStartIdx, bar_index)
avail = bar_index + 1
scanN = math.min(avail, math.max(2, depthRaw))
scanN := math.min(scanN, 2000) // performance cap
// ---------- Early guard ----------
if scanN < 2
na
else
// ---------- Build price histogram (O(N + B)) ----------
priceMin = 10e10
priceMax = -10e10
for j = 0 to scanN - 1
loB = math.min(open , close )
hiB = math.max(open , close )
lo = (countSource == "Body only") ? loB : low
hi = (countSource == "Body only") ? hiB : high
priceMin := math.min(priceMin, nz(lo, priceMin))
priceMax := math.max(priceMax, nz(hi, priceMax))
rng = priceMax - priceMin
tick = syminfo.mintick
binSize = tick * binTicks
if na(rng) or rng <= 0 or binSize <= 0
na
else
// Pre-allocate fixed-size arrays (never size 0)
MAX_BINS = 600
var float diff = array.new_float(MAX_BINS + 2, 0.0) // +2 so iH+1 is safe
var float counts = array.new_float(MAX_BINS + 1, 0.0)
var int blocked = array.new_int(MAX_BINS + 1, 0)
var int topIdx = array.new_int()
binsN = math.max(1, math.min(MAX_BINS, int(math.ceil(rng / binSize)) + 1))
// reset slices
for i = 0 to binsN + 1
array.set(diff, i, 0.0)
for i = 0 to binsN
array.set(counts, i, 0.0)
array.set(blocked, i, 0)
array.clear(topIdx)
// Range adds
for j = 0 to scanN - 1
loB = math.min(open , close )
hiB = math.max(open , close )
lo = (countSource == "Body only") ? loB : low
hi = (countSource == "Body only") ? hiB : high
iL = int(math.floor((lo - priceMin) / binSize))
iH = int(math.floor((hi - priceMin) / binSize))
iL := math.max(0, math.min(binsN - 1, iL))
iH := math.max(0, math.min(binsN - 1, iH))
array.set(diff, iL, array.get(diff, iL) + 1.0)
array.set(diff, iH + 1, array.get(diff, iH + 1) - 1.0)
// Prefix sum → counts
run = 0.0
for b = 0 to binsN - 1
run += array.get(diff, b)
array.set(counts, b, run)
// Top-K with spacing
sepBins = math.max(1, int(math.ceil(minSepTicks / binTicks)))
picks = math.min(channelsK, binsN)
if picks > 0
for _ = 0 to picks - 1
bestVal = -1e9
bestBin = -1
for b = 0 to binsN - 1
if array.get(blocked, b) == 0
v = array.get(counts, b)
if v > bestVal
bestVal := v
bestBin := b
if bestBin >= 0
array.push(topIdx, bestBin)
lB = math.max(0, bestBin - sepBins)
rB = math.min(binsN - 1, bestBin + sepBins)
for bb = lB to rB
array.set(blocked, bb, 1)
// Clear old drawings safely
while array.size(g_boxes) > 0
box.delete(array.pop(g_boxes))
while array.size(g_lbls) > 0
label.delete(array.pop(g_lbls))
// Draw Top-K channels
sz = array.size(topIdx)
if sz > 0
for t = 0 to sz - 1
b = array.get(topIdx, t)
level = priceMin + (b + 0.5) * binSize
useBody = (drawMode == "Use Candle")
anc = anchorIndexForPrice(level, useBody, scanN)
anc := anc == -1 ? scanN - 1 : anc
oA = open
cA = close
hA = high
lA = low
float topV = na
float botV = na
if drawMode == "Use Candle"
topV := (anchorPart == "Body") ? math.max(oA, cA) : hA
botV := (anchorPart == "Body") ? math.min(oA, cA) : lA
else
half = (fixedTicks * tick) * 0.5
topV := level + half
botV := level - half
left = bar_index - anc
right = bar_index + extendBars
bx = box.new(left, topV, right, botV, xloc=xloc.bar_index, bgcolor=colFill, border_color=colEdge, border_width=2)
array.push(g_boxes, bx)
if showLabels
txt = str.tostring(int(array.get(counts, b))) + " crosses"
lb = label.new(left, topV, txt, xloc=xloc.bar_index, style=label.style_label_down, textcolor=colTxt, color=colEdge)
array.push(g_lbls, lb)
Sinyal Gabungan Lengkap (TWAP + Vol + Waktu)Sinyal Gabungan Lengkap (TWAP + Vol + Waktu) volume btc dan total3 dan ema
Order Blocks & FVG (Kostya)the indicator is the attempt to visualize the trading opportunities - price magnets and potential reversal zones for intraday and swing trading.
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
IFVG Extended + Entry/TPs IFVG Extended + Entry/TPs this is high winrate hands free just follow the system
Trader Marks Trailing SL + TP (BE @ 66%)📌 Title
Trader Marks Trailing SL + TP (BE @ 66%)
📌 Description
This indicator combines Stop-Loss, Take-Profit, and Trailing Stop management into one tool.
It offers two different modes:
S/L+ EXACT → Reproduces the classic ATR Trailing Stop Indicator (by ZenAndTheArtOfTrading) with full accuracy.
Advanced (Delay + BE + Ratchet) →
Uses a fixed SL until X hours after entry
Then switches to ATR-based trailing stop (ratchet, never reverses)
Moves the stop to Break-Even once Y% of the distance to the target has been reached
📌 Features
✅ Two modes: Classic & Advanced
✅ Works for both Long & Short trades
✅ Manual entry, SL and TP levels
✅ Start delay for trailing (e.g. 12 hours)
✅ ATR-based ratcheting (never moves backwards)
✅ Automatic Break-Even stop at 66% of the way to TP (adjustable)
✅ Visual plots for Entry, SL, TP, current Stop, and 66%-threshold
✅ Alerts for Stop-Hit, TP-Hit, and BE activation
📌 Parameters
Setup
Direction: Long / Short
Entry Price
Stop-Loss
Take-Profit (manual)
Mode
S/L+ EXACT
Advanced (Delay+BE+Ratchet)
S/L+ Parameters
ATR Length (default 14)
High/Low lookback (default 7)
ATR Multiplier (default 1.0)
Basis: High/Low, Close, or Open
Advanced Parameters
ATR Length (e.g. 14)
ATR Multiplier (e.g. 1.0)
Update only on bar close (true/false)
Start delay in hours (e.g. 12)
BE Threshold in % of distance to TP (default 66%)
Option to stop trailing after BE
📌 Alerts
Stop Hit (Long)
Stop Hit (Short)
TP Reached (Long)
TP Reached (Short)
Break-Even Active
📌 Recommended Defaults
Mode: Advanced (Delay+BE+Ratchet)
ATR Length: 14
Lookback: 7
ATR Multiplier: 1.0
Start Delay: 12 hours
Break-Even Threshold: 66%
rockstarluvit's a stochastics and trend indicator, where rockstars csan trade like winnners and stay away from crazy divergewnces.
