Penunjuk dan strategi
ATR Dashboard (Pane Only)🔧 Core Logic
ATR Source: Multi-timeframe ATR (default 1H while trading 5m/15m).
Threshold Rule:
TREND = ATR > (ATR_SMA × k)
NORMAL = otherwise
Sessions: Only evaluates during London (02:00–07:00 ET) and New York (07:00–11:30 ET) by default.
Smoothing: ATR compared against its SMA (default 10-period).
k Multiplier: Controls sensitivity (default 1.20).
🖥️ Visuals
✅ TREND: Green label (or green background if enabled).
⚪ NORMAL: Gray label.
⏸️ OUT OF SESSION: Dim label, so you don’t force trades off-hours.
📊 Optional panel shows ATR, ATR_SMA, and Threshold values in real time.
📊 Dashboard + Overlay Combo
Use this overlay on your chart TF for tactical entries.
Pair with an ATR Dashboard (pane) on a higher TF (like 1H) for the strategic backdrop.
Overlay TREND + Dashboard TREND → High conviction trending environment.
Overlay TREND but Dashboard NORMAL → Fragile breakout, trade smaller or pass.
Both NORMAL → Chop/range → stick to 1:1.4 BE rules.
⚖️ Trading Playbook Integration
NORMAL Mode (ATR below threshold)
50% partial at 1R.
BE @ 1:1.4.
Runner capped at 2R.
TREND Mode (ATR above threshold)
50% partial at 1R.
BE @ 1:1.6.
Remainder trails ATR ×1.5.
Reserve ~15% of trend trades as no-partials for fat-tail home runs (4R–6R+).
🔔 Alerts
ATR Trend ON (in session) → “ATR > Threshold → Switch to TREND BE (1:1.6).”
ATR Trend OFF (in session) → “ATR ≤ Threshold → Switch to NORMAL BE (1:1.4).”
Perfect for getting pinged the moment volatility regime flips.
📌 Tips
k = 1.20 → balanced (default).
k = 1.10–1.15 → more TREND calls (sensitive).
k = 1.30+ → only strongest trends count.
Run it with overlay ON chart TF for execution, and dashboard on HTF for context.
Best used during active London/NY sessions.
✅ This isn’t a signal generator. It’s a regime filter + risk manager.
It keeps you from chasing chop and helps you mechanically switch BE rules without hesitation.
⚡ Pro tip: Combine with a Trend Continuation HUD, Elliott Wave Convergence overlay, or a Bollinger+RSI/MFI reversal scanner for a full tactical playbook.
ATR Trend Switch (ATR > k*ATR_SMA) - Overlay + Session Windows🔧 Core Logic
ATR Source: Multi-timeframe ATR (default 1H while trading 5m/15m).
Threshold Rule:
TREND = ATR > (ATR_SMA × k)
NORMAL = otherwise
Sessions: Only evaluates during London (02:00–07:00 ET) and New York (07:00–11:30 ET) by default.
Smoothing: ATR compared against its SMA (default 10-period).
k Multiplier: Controls sensitivity (default 1.20).
🖥️ Visuals
✅ TREND: Green label (or green background if enabled).
⚪ NORMAL: Gray label.
⏸️ OUT OF SESSION: Dim label, so you don’t force trades off-hours.
📊 Optional panel shows ATR, ATR_SMA, and Threshold values in real time.
📊 Dashboard + Overlay Combo
Use this overlay on your chart TF for tactical entries.
Pair with an ATR Dashboard (pane) on a higher TF (like 1H) for the strategic backdrop.
Overlay TREND + Dashboard TREND → High conviction trending environment.
Overlay TREND but Dashboard NORMAL → Fragile breakout, trade smaller or pass.
Both NORMAL → Chop/range → stick to 1:1.4 BE rules.
⚖️ Trading Playbook Integration
NORMAL Mode (ATR below threshold)
50% partial at 1R.
BE @ 1:1.4.
Runner capped at 2R.
TREND Mode (ATR above threshold)
50% partial at 1R.
BE @ 1:1.6.
Remainder trails ATR ×1.5.
Reserve ~15% of trend trades as no-partials for fat-tail home runs (4R–6R+).
🔔 Alerts
ATR Trend ON (in session) → “ATR > Threshold → Switch to TREND BE (1:1.6).”
ATR Trend OFF (in session) → “ATR ≤ Threshold → Switch to NORMAL BE (1:1.4).”
Perfect for getting pinged the moment volatility regime flips.
📌 Tips
k = 1.20 → balanced (default).
k = 1.10–1.15 → more TREND calls (sensitive).
k = 1.30+ → only strongest trends count.
Run it with overlay ON chart TF for execution, and dashboard on HTF for context.
Best used during active London/NY sessions.
✅ This isn’t a signal generator. It’s a regime filter + risk manager.
It keeps you from chasing chop and helps you mechanically switch BE rules without hesitation.
⚡ Pro tip: Combine with a Trend Continuation HUD, Elliott Wave Convergence overlay, or a Bollinger+RSI/MFI reversal scanner for a full tactical playbook.
EC_FVG_V8_Cryptonautixcandlestick patterns+FV+ full candle control, number of candles , interactions
Harmonic Patterns + Fib [CRT Trader]Overview
The Harmonic Patterns Fibonacci indicator is an advanced technical analysis tool designed to automatically detect and visualize Fibonacci-based harmonic patterns on financial charts. This indicator helps traders identify high-probability reversal zones and potential entry/exit points based on precise mathematical relationships.
Supported Patterns
5-Point Patterns (X-A-B-C-D Structure)
Gartley Pattern: The most common harmonic pattern with reliable reversal signals
AB/XA = 0.618, BC/AB = 0.618, CD/BC = 1.272, AD/XA = 0.786
Butterfly Pattern: Strong reversal pattern indicating potential trend changes
AB/XA = 0.786, BC/AB = 0.618, CD/BC = 1.618, AD/XA = 1.270
Bat Pattern: Medium-term reversal pattern with high accuracy
AB/XA = 0.382, BC/AB = 0.886, CD/BC = 1.618, AD/XA = 0.886
Crab Pattern: Aggressive reversal pattern with extended D point
AB/XA = 0.618, BC/AB = 0.886, CD/BC = 2.240, AD/XA = 1.618
Shark Pattern: Trend continuation or reversal pattern
AB/XA = 0.618, BC/AB = 1.130, CD/BC = 1.618, AD/XA = 0.886
4-Point Pattern (A-B-C-D Structure)
ABCD Pattern: Basic harmonic structure forming the foundation of all patterns
BC/AB = 0.382-0.886, CD/BC = 1.130-2.618
Key Features
Fibonacci Validation
Each pattern is validated against precise Fibonacci ratios with customizable tolerance
Mathematical accuracy ensures reliable pattern recognition
Eliminates false signals through strict ratio requirements
Performance Optimization
Pivot Detection: Automatically identifies significant highs and lows
Scan Frequency Control: Adjustable scanning intervals to optimize performance
Early Exit Algorithms: Efficient computation to reduce processing load
Pattern Limit: Control maximum number of patterns displayed
Visual Elements
Pattern Lines: Clear visualization of pattern structure with colored lines
Fill Areas: Highlighted zones between pattern legs
Point Labels: X, A, B, C, D markers for easy identification
Fibonacci Levels: Optional Fibonacci retracement/extension levels
Bullish/Bearish Colors: Green for bullish, red for bearish patterns
Customizable Settings
Pattern Selection: Enable/disable specific pattern types
Tolerance Adjustment: Fine-tune pattern recognition sensitivity (5-30%)
Color Customization: Personalize visual appearance
Information Table: Optional statistics display
Trading Applications
Entry Signals
Reversal Zones: Identify high-probability reversal areas at pattern completion
Confluence Trading: Combine with other technical indicators for confirmation
Risk Management: Use pattern structure to define stop-loss levels
Market Analysis
Support/Resistance: Pattern points often act as future S/R levels
Price Targets: Fibonacci extensions provide potential profit targets
Market Structure: Understand underlying market geometry and rhythm
Strategy Integration
Swing Trading: Ideal for medium-term position entries
Position Trading: Long-term trend reversal identification
Day Trading: Intraday reversal patterns on lower timeframes
How to Use
Add to Chart: Apply the indicator to any timeframe and instrument
Configure Settings: Adjust tolerance, colors, and pattern types as needed
Wait for Completion: Patterns are valid only when D point is formed
Confirm with Volume: Look for volume confirmation at pattern completion
Set Stop Loss: Place stops beyond X point for 5-point patterns, or A point for ABCD
Target Levels: Use Fibonacci extensions for profit targets
Important Notes
Pattern Completion: Wait for full pattern formation before taking action
Market Context: Consider overall market trend and conditions
Risk Management: Always use appropriate position sizing and stops
Backtesting: Test the indicator on historical data before live trading
Multiple Timeframes: Analyze patterns across different timeframes for confirmation
Technical Requirements
Lookback Period: Adjustable pivot detection sensitivity
Depth Setting: Controls how far back the algorithm searches for patterns
Memory Efficient: Optimized for real-time performance without lag
This indicator is suitable for all experience levels, from beginners learning harmonic patterns to advanced traders seeking automated pattern recognition. The combination of mathematical precision and visual clarity makes it an essential tool for harmonic trading strategies.
MACD/ATR with Histogram(MACD-VH)MACD cannot be used directly as it is non-stationary and needs to be divided by ATR.
The values such as color, style, and ATR can all be modified.
XAU 1H Clean Confluence — Micro Table v2XAU 1H Clean Confluence — Micro Table
What it is
A clean, low-clutter 1-hour XAUUSD indicator that summarizes confluences in a compact on-chart table. It’s designed for traders who want structure + momentum + location without covering the chart in drawings.
Best used on: ICMARKETS:XAUUSD or your broker’s XAUUSD feed, 1H timeframe.
Style: Table-only by default (optional EMA200 line and tiny signal markers).
How signals are built (long example; shorts mirror)
A Long Confluence is printed when all of the below are true:
Trend alignment: EMA20 > EMA50 > EMA200
Pullback & re-engage: price crossed back above EMA20 after a pullback
RSI regime: RSI(14) crosses up through 50 (trend confirmation)
Displacement/imbalance: a 3-candle Bull FVG exists (low > high )
Structure: either a BOS up or CHOCH up via swing pivots (pivotLen input)
Sweep (optional): if enabled, require a sweep of Asian Low and/or PDL first
Time gating (optional): only during London/NY windows and outside news windows
Short signals use the mirrored conditions (EMA stack down, cross back below EMA20, RSI cross down through 50, Bear FVG, BOS/CHOCH down, optional Asian High/PDH sweep).
NYC Candle Times Grid - Swing Fixed Marca las horas de apertura de las velas en los diferentes timeframes.
Marks the opening hours of the candles on the different timeframes.
Lunar calendar day Crypto Trading StrategyLunar calendar day Crypto Trading Strategy
This strategy explores the potential impact of the lunar calendar on cryptocurrency price cycles.
It implements a simple but unconventional rule:
Buy on the 5th day of each lunar month
Sell on the 26th day of the lunar month
No trades between January 1 (solar) and Lunar New Year’s Day (holiday buffer period)
Research background
Several academic studies have investigated the influence of lunar cycles on financial markets. Their findings suggest:
Returns tend to be higher around the full moon compared to the new moon.
Periods between the full moon and the waning phase often show stronger average returns than the waxing phase.
This strategy combines those observations into a practical implementation by testing fixed entry (lunar day 5) and exit (lunar day 26) points, while excluding the transition period from solar New Year to Lunar New Year, effectively capturing mid-month lunar effects.
How it works
The script includes a custom lunar date calculation function, reconstructing lunar months and days for each year (2020–2026).
On lunar day 5, the strategy opens a long position with 100% of equity.
On lunar day 26, the strategy closes the position.
No trades are executed between Jan 1 and Lunar New Year’s Day.
All trades include:
Commission: 0.1%
Slippage: 3 ticks
Position sizing uses the entire equity (100%) for simplicity, but this is not recommended for live trading.
Why this is original
Unlike mashups of built-in indicators, this script:
Implements a full lunar calendar system inside Pine Script.
Translates academic findings on lunar effects into an applied backtest.
Adds a realistic trading filter (holiday gap) based on cultural/seasonal calendar rules.
Provides researchers and traders with a framework to explore non-traditional, time-based signals.
Notes
This is an experimental, research-oriented strategy, not financial advice.
Results are highly dependent on the chosen period (2020–2026).
Using 100% equity per trade is for simplification only and is not a viable money management practice.
The purpose is to investigate whether cyclical patterns linked to lunar time can provide any statistical edge in ETHUSDT.
Institutional Interest DisplayIndicator Overview:
This dashboard helps evaluate stocks quickly based on Market Cap, 52-week positioning, and liquidity metrics. It combines price strength with volume demand signals for breakout or institutional interest.
Logic Implemented:
1. Market Cap Classification:
- Market Cap = close × shares_outstanding (built-in value if available)
- Large-cap: ≥ ₹20,000 Cr
- Mid-cap: ₹5,000 – 20,000 Cr
- Small-cap: < ₹5,000 Cr
2. 52-Week Range (% from High/Low):
- 52W High = ta.highest(high, 252)
- 52W Low = ta.lowest(low, 252)
- % from 52W High = (Close ÷ 52W High – 1) × 100
- % from 52W Low = (Close ÷ 52W Low – 1) × 100
- CANSLIM logic → Prefer stocks near highs, avoid near lows
3. Average Daily Volume (ADV):
- ADV = ta.sma(volume, 50)
- Chosen 50D (more reliable than 20/30D, smooths anomalies)
4. Breakout Volume Confirmation:
- Volume Signal = Current Volume ÷ ADV
- Breakout Threshold = >1.5 × ADV
- Helps detect demand-driven price breakouts
5. % Change in Volume vs ADV:
- %Chg = ((Current Vol ÷ ADV) – 1) × 100
- Indicates abnormal activity vs typical trading
6. Up/Down Volume Ratio (U/D Ratio):
- Defined as: (Sum of volume on up days ÷ Sum of volume on down days)
- 50-day window
- U/D > 1 = net buying pressure
- U/D > 1.2 = stronger institutional demand
7. Up Days with Volume ≥ 1.5 × ADV:
- Counts number of up days (Close > Previous Close) in last 50 days where Volume ≥ 1.5 × ADV
8. Average Turnover:
- AvgTurnover = Avg Volume × Price
- Thresholds:
- Large-cap ≥ 1000M
- Mid-cap ≥ 200M
- Small-cap ≥ 50M
Table Layout:
- 4 Columns:
- Col 1 → Category, Market Cap, % from 52W Low, % from 52W High
- Col 2 → Values for above
- Col 3 → Avg Volume, Vol Today, %Chg Vol, U/D Ratio
- Col 4 → Values for above + Up Days >1.5 × ADV, Avg Turnover
Color Coding:
- Value cells have distinct background colors
- Labels = black text, grey background
- Green highlights signify thresholds met
RSI deyvidholnik
📊 Overview
RSI deyvidholnik is an advanced technical indicator that combines the power of traditional RSI (Relative Strength Index) with automatic divergence detection to identify potential market reversal points. This indicator was developed by kingthies and offers clear visual analysis of overbought/oversold conditions along with highly precise divergence signals.
🔧 Key Features
Customizable RSI
Data Source: Configurable (default: close)
Period: Adjustable (default: 14)
Moving Average: Multiple types available (SMA, EMA, SMMA, WMA, VWMA, MMS)
MA Period: Configurable (default: 14)
Divergence Detection
The indicator identifies four types of divergences:
🟢 Bullish Divergence
Occurs when price makes lower lows, but RSI makes higher lows
Indicates possible trend reversal from bearish to bullish
Signaled with green dots on RSI
🔴 Bearish Divergence
Occurs when price makes higher highs, but RSI makes lower highs
Indicates possible trend reversal from bullish to bearish
Signaled with red dots on RSI
🟢 Hidden Bullish Divergence (Optional)
Price makes higher lows while RSI makes lower lows
Confirms continuation of bullish trend
Useful in trending markets
🔴 Hidden Bearish Divergence (Optional)
Price makes lower highs while RSI makes higher highs
Confirms continuation of bearish trend
Useful in trending markets
⚙️ Pivot Settings
Optimized Default Configuration
Right Bars: 1 (quick confirmation)
Left Bars: 5 (noise filtering)
Maximum Bars Between Pivots: 60
Minimum Bars Between Pivots: 3
These settings have been adjusted to provide:
✅ Faster and more responsive signals
✅ Reduction of false signals
✅ Better identification of significant pivots
🎨 Visual Interface
RSI Levels
Line 70: Overbought zone (red)
Line 50: Neutral centerline
Line 30: Oversold zone (green)
Gradient fill: Visually intensifies extreme zones
Graphical Elements
RSI: Main line in white
Moving Average: Smoothed yellow line
Divergence Points: Colored markers on pivots
Background: Subtle fill for better readability
📈 How to Use
For Reversal Trading
Enable only: Bullish and Bearish (default)
Look for: Divergences in overbought/oversold zones
Confirm with: Other indicators or price analysis
For Trend Trading
Enable: Hidden Bull and Hidden Bear
Use in: Markets with clear established trends
Combine with: Market structure analysis
Alert Configuration
The indicator includes automatic alerts for:
⚠️ Bullish Divergence
⚠️ Bearish Divergence
⚠️ Hidden Bullish Divergence
⚠️ Hidden Bearish Divergence
💡 Main Advantages
✅ Automatic Detection: Identifies divergences without manual interpretation
✅ Optimized Configuration: Default values tested for maximum efficiency
✅ Clean Interface: Clear and professional visual
✅ Integrated Alerts: Automatic signal notifications
✅ Flexibility: Multiple customization options
✅ Performance: Optimized code for efficient execution
🎯 Recommended Timeframes
Scalping: 1m, 5m (with more sensitive settings)
Intraday: 15m, 30m, 1h (default configuration)
Swing: 4h, 1D (for medium-term signals)
⚠️ Important Considerations
Not infallible: Always use in conjunction with other analysis methods
Sideways markets: More effective in markets with directional movement
Confirmation: Always wait for signal confirmation before trading
Risk management: Always implement adequate stop-loss and take-profit
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets.
🎯 How It Works:
The strategy defines a trading range at the beginning of the trading session based on a selected number of candles.
It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close.
It filters signals using the SuperTrend indicator for trend confirmation.
It utilizes trading volume to filter out false breakouts.
⚡ Strategy Features
📈 Entry Points:
Long: Candle close above the upper range boundary + SuperTrend confirmation
Short: Candle close below the lower range boundary + SuperTrend confirmation
🛡️ Risk Management:
Stop-Loss: Set at the opposite range boundary.
Take-Profit: Calculated based on a risk/reward ratio (3:1 by default).
Position Size: 10 contracts (configurable).
⚠️ IMPORTANT SETTINGS
🕐 Time Parameters:
Set the correct time and time zone!
❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session.
📊 This strategy is optimized for trading TESLA stock!
Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session.
📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant.
⚠️ For other assets, the following is required:
Testing and parameter optimization
Adjustment of time intervals and the number of candles forming the range
Calibration of stop-loss and take-profit levels
⚠️ Limitations and Drawbacks
🔗 Automation Constraints:
❌ Cannot be directly connected via Webhook to CFD brokers!
Additional IT solutions are required for automation, thus only manual trading based on signals is possible.
📉 Risk Management:
Do not risk more than 2-3% of your account per trade.
Test on historical data before live use.
Start with a demo account.
💪 Strategy Advantages
✅ Combined approach – multiple signal filters
✅ Clear entry and exit rules
✅ Visual signals on the chart
✅ Volume-based false breakout filtering
✅ Automatic position management
🎯 Usage Recommendations
Always test the strategy on historical data.
Start with small trading volumes.
Ensure time settings are correct.
Adapt parameters to current market volatility.
Use only for stocks – futures and Forex require adaptation.
📚 Suitable Timeframes - M1-M15
Only highly liquid stocks
🍀 I wish all subscribers good luck in trading and steady profits!
📈 May your charts move in the right direction!
⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Long Elite Squeeze (LES) — H.H 22 Lindsay (AI)LES (Long Elite Squeeze)
LES (Long Elite Squeeze) is a trading framework designed to capture the highest-probability long setups. It’s not just another signal script — it’s a structured system built to filter noise, manage risk, and keep you aligned with real momentum.
🔹 Core Logic
Breakout Confirmation – Ensures moves have structure, not just random spikes.
Relative Volume (RVOL) – Confirms participation and fuel behind the move.
RSI Alignment – Avoids overextended traps and fakeouts.
Squeeze Momentum – The backbone of LES. Signals fire only after a defined squeeze pattern shift (6+ dark green bars followed by a light green bar).
🔹 Trade Management Built In
Automated Sell Signals – Trigger on either:
2 consecutive dark green bars on Squeeze Momentum
WaveTrend cross down
(only valid after a Buy signal — no random shorts)
HUD Entry Checklist – Live conditions shown on chart.
Status Tracker HUD – Flips between “Waiting for Entry” and “In Trade” for clear context.
🔹 Flexibility
3 switchable squeeze versions (V1, V2, V3) for different market conditions.
Customizable EMA & ATR settings (with color options).
Session-aware logic — filter signals to prime trading hours.
🔹 Blueprint & Credits
LES is a fusion of proven concepts, standing on the shoulders of respected creators:
-Squeeze Momentum – LazyBear
-WaveTrend Oscillator – LazyBear
-Relative Volume – LonesomeTheBlue
Breakout/structural logic – refined from classic frameworks
Their work laid the foundation — LES expands and integrates them into a complete trading system.
⚡ Why LES Stands Out
LES wasn’t coded overnight. It’s the result of countless hours of live testing, rebuilding, and refining. Every feature earned its place by proving value in real trading, not theory.
LES is more than an indicator. It’s a disciplined framework — crafted to turn chaos into structure, randomness into probability, and noise into clarity.
⚠️ Disclaimer: This is a trading framework, not financial advice. Performance depends on trader discipline, risk management, and market conditions.
Symbol Comparison with Multiplier//@version=5
indicator("Symbol Comparison with Multiplier", overlay=true)
// パラメーター設定
symInput = input.symbol("EURUSD", "比較する銘柄")
multiplier = input.float(1.0, "価格乗数", minval=0.001, step=0.1)
// 比較する銘柄の価格データを取得
compPrice = request.security(symInput, timeframe.period, close)
// 乗数を適用した価格を計算
adjustedPrice = compPrice * multiplier
// 調整後の価格をプロット
plot(adjustedPrice, title="調整後の比較銘柄", color=color.blue, linewidth=2)
サヤ取り分析 + テクニカル//@version=5
indicator("サヤ取り分析 + テクニカル", overlay=false)
// パラメーター設定
symbol2 = input.symbol("USDJPY", "比較する銘柄")
ma_length1 = input.int(5, "短期MA")
ma_length2 = input.int(25, "中期MA")
ma_length3 = input.int(75, "長期MA")
bb_length = input.int(20, "ボリンジャーバンド期間")
bb_std1 = input.float(2.0, "BB標準偏差1")
bb_std2 = input.float(3.0, "BB標準偏差2")
corr_length = input.int(20, "相関係数の期間", minval=2)
// 2つの銘柄の価格データを取得
price1 = close
price2 = request.security(symbol2, timeframe.period, close)
// サヤ比の計算
spread_ratio = price1 / price2
// 移動平均線の計算
sma1 = ta.sma(spread_ratio, ma_length1)
sma2 = ta.sma(spread_ratio, ma_length2)
sma3 = ta.sma(spread_ratio, ma_length3)
// ボリンジャーバンドの計算
bb_basis = ta.sma(spread_ratio, bb_length)
bb_dev1 = ta.stdev(spread_ratio, bb_length) * bb_std1
bb_dev2 = ta.stdev(spread_ratio, bb_length) * bb_std2
bb_upper1 = bb_basis + bb_dev1
bb_lower1 = bb_basis - bb_dev1
bb_upper2 = bb_basis + bb_dev2
bb_lower2 = bb_basis - bb_dev2
// 相関係数の計算
correlation = ta.correlation(price1, price2, corr_length)
// アラート条件
upperTouch1 = ta.crossover(spread_ratio, bb_upper1)
lowerTouch1 = ta.crossunder(spread_ratio, bb_lower1)
upperTouch2 = ta.crossover(spread_ratio, bb_upper2)
lowerTouch2 = ta.crossunder(spread_ratio, bb_lower2)
// アラートメッセージの設定
if upperTouch1
alert("上側ボリンジャーバンド(2σ)にタッチ", alert.freq_once_per_bar)
if lowerTouch1
alert("下側ボリンジャーバンド(2σ)にタッチ", alert.freq_once_per_bar)
if upperTouch2
alert("上側ボリンジャーバンド(3σ)にタッチ", alert.freq_once_per_bar)
if lowerTouch2
alert("下側ボリンジャーバンド(3σ)にタッチ", alert.freq_once_per_bar)
// プロット
plot(spread_ratio, title="サヤ比", color=color.purple, linewidth=2)
plot(sma1, title="短期MA", color=color.red)
plot(sma2, title="中期MA", color=color.yellow)
plot(sma3, title="長期MA", color=color.blue)
plot(bb_upper1, title="BB上限1", color=color.green)
plot(bb_lower1, title="BB下限1", color=color.green)
plot(bb_upper2, title="BB上限2", color=color.orange)
plot(bb_lower2, title="BB下限2", color=color.orange)
// 相関係数を右上に表示
var corrTable = table.new(position.top_right, 1, 1, bgcolor=color.new(color.black, 70))
table.cell(corrTable, 0, 0, "相関係数 (" + str.tostring(corr_length) + "): " + str.tostring(correlation, "#.####"), text_color=correlation >= 0 ? color.green : color.red, text_size=size.normal)
Auto Daily High/Low/50%This indicator automatically plots the current daily high and low, as well as the midrange.
SingleBarFastMagetAutomatically conduct quick transactions to the magnet based on the conditions of the magnet, i b s and trend bar
基于磁体、IBS和趋势K的条件自动进行急赴磁体的交易
NYC Candle Times Grid 1.2Marca las horas de apertura de las velas en los diferentes timeframes.
Marks the opening hours of the candles on the different timeframes.
ASI - Meme-CoinsAltcoin Season Indicator (ASI) — Meme Coins (Multi-Timeframe)
Purpose-built for meme coins, which often move off-cycle, with explosive volatility and crowd-driven momentum.
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Why this preset:
Tuned for fast, outsized swings and sharper euphoria/capitulation than standard altcoins.
Prioritizes early trend confirmation and strict overheating exits to help avoid round-trips.
Designed to keep you rational when headlines and social spikes dominate price.
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Usage:
Timeframes: 1D for established memes; 8h for active phases/younger listings; 1h optional for event-driven bursts (expect more noise—confirm with 8h/1D).
Best fit: high-volatility meme coins with sufficient trading activity/liquidity.
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Reading:
Green zone → Entry (credible bottoming / early impulse)
Red zone → Exit (overheating / distribution risk)
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Who is it for?
Intermediate to advanced crypto traders who focus on memes and want a disciplined, visual BUY/EXIT framework that captures big moves while respecting risk.
*(ASI is a timing tool, not financial advice.)*
Nifty_JFS_75_Aug25lets review found genune understanding and reviewed with well back tested
enjoy the journey
Trend Continuation — Compact HUD Pane 🖥️ Trend Continuation HUD Panel — Multi-Factor Dashboard
This panel is your trend continuation command center ⚡. Instead of guessing which filters are in play, the HUD shows you a real-time checklist of up to 6 confluence filters — with clear ✔ and ✖ signals.
🔍 What it shows
Each row = one filter. Green ✔ means it’s passing in the trend direction, red ✖ means it’s failing, grey ✖ means neutral/inactive.
✔ Ichimoku (9/26/52/26) → Above/Below cloud + Tenkan/Kijun order
✔ MACD (12/26/9) → Histogram slope & zero-line alignment
✔ RSI / MFI (14) → Momentum ≥60 bull / ≤40 bear
✔ ADX (14) → Strength ≥20 and rising
✔ EMA Alignment (9/21/55/233) (optional) → Stack order confirms trend engine
✔ ATR Slope (14) (optional) → Expanding volatility filter
📊 Score Line (0–6 scale)
At the bottom of the HUD you’ll see a colored score plot:
🟢 5–6 = A-Grade Trend Environment → strongest continuation regimes
🟡 3–4 = Mixed Bag → wait for clarity
🔴 0–2 = Fail Zone → stay flat, no trend support
🎯 How to use it
Scan the HUD first → wait until Score ≥5 and most rows are ✔ green.
Then check Overlay labels/arrows → only take signals while HUD is green (trend environment confirmed).
Adjust strictness with minChecks:
• Normal Days → Score ≥4 acceptable (partial TP style).
• Trend Days → Demand Score ≥5 (stacked, high-conviction runs).
🧩 Best Practices
⏰ Focus on London & NY sessions (HUD grays out off-hours).
🔄 Keep the HUD & Overlay in sync (same EMA/ATR/session settings).
⚡ Use the HUD as your filter, Overlay as your trigger → keeps you aligned with your trading plan and risk model.
Parabolic CCI Pro — Long & Short + ATR Risk — [AlphaFinansData]English Description (Enhanced)
🔹 CCI + Parabolic SAR Strategy (Long & Short, Smart Risk Management)
This indicator combines the power of CCI (Commodity Channel Index) and Parabolic SAR, creating a highly reliable trading system that adapts to market conditions.
🚀 How It Works:
Trend Hunting: CCI detects weakening momentum and potential reversal zones.
Confirmation: Parabolic SAR confirms the trend direction, reducing false signals.
Smart Risk Management: Offers both fixed-percentage and ATR-based dynamic Stop Loss & Take Profit, adjusting to volatility automatically.
Performance Dashboard: Tracks win rate, average profit/loss, max drawdown, and winning/losing streaks for deeper strategy insights.
⚡ Who Is It For?
Day traders looking for quick entries and exits,
Swing traders seeking to capture trend reversals,
Risk-conscious investors who want disciplined SL/TP management.
💡 More than just a signal generator, this indicator provides traders with a structured trading framework that helps maintain consistency and discipline.
