XRP Non-Stop Strategy (TP 25% / SL 15%)This strategy performs continuous automated trading exclusively on XRP. It opens long positions during favorable trend conditions, using a fixed Take Profit target of 25% above the entry price and a fixed Stop Loss of 15% below the entry. Once a trade is closed (either TP or SL), the strategy automatically re-enters on the next valid signal, enabling uninterrupted trading.
The script includes:
Dynamic Take Profit & Stop Loss lines
Optional EMA trend filter
Visual BUY and EXIT markers
TradingView alerts for automation or notifications
This strategy is built for traders who want a simple, price-action-driven system without fixed price levels, relying only on percentage-based movement from each entry.
Indicatori e strategie
KENW Liq Sweep 17This indicator is designed to alert on potential liquidity sweep events:
- In uptrends, it tracks Sell-Side Liquidity (SSL) by marking swing lows that occur during negative MACD histogram periods. It generates a long entry alert when price makes a lower low in SSL (i.e., the most recent SSL level is below the prior one), suggesting a sweep of sell-side liquidity before a potential bullish continuation.
- In downtrends, it tracks Buy-Side Liquidity (BSL) by marking swing highs that occur during positive MACD histogram periods. It generates a short entry alert when price makes a higher high in BSL (i.e., the most recent BSL level is above the prior one), indicating a sweep of buy-side liquidity before a potential bearish continuation.
BTC Mon 8am Buy / Wed 2pm Sell (NY Time, Daily + Intraday)This strategy implements a fixed weekly time-based trading schedule for Bitcoin, using New York market hours as the reference clock. It is designed to test whether a consistent pattern exists between early-week accumulation and mid-week distribution in BTC price behavior.
Entry Rule — Monday 8:00 AM (NY Time)
The strategy enters a long position every Monday at exactly 08:00 AM Eastern Time, one hour after the U.S. equities market pre-open activity begins influencing global liquidity.
This timing attempts to capture early-week directional moves in Bitcoin, which sometimes occur as traditional markets come online.
Exit Rule — Wednesday 2:00 PM (NY Time)
The strategy closes the position every Wednesday at 2:00 PM Eastern Time, a point in the week where:
U.S. equity markets are still open
BTC often experiences mid-week volatility rotations
Liquidity is generally high
This exit removes exposure before later-week uncertainty and gives a consistent, measurable time window for each trade.
Timeframe Compatibility
Works on intraday charts (recommended 1h or lower) using precise time-based triggers.
Also runs on daily charts, where entries and exits occur on the Monday and Wednesday bars respectively (daily charts cannot show intraday timestamps).
All timestamps are synced to America/New_York regardless of the exchange’s native timezone.
Trading Frequency
Exactly one trade per week, preventing overtrading and allowing comparison of weekly performance across years of historical BTC price data.
Purpose of the Strategy
This is not a value-based or trend-following system, but a behavioral/time-cycle analysis tool.
It helps evaluate whether a repeating short-term edge exists based solely on:
Weekday timing
Liquidity cycles
Institutional market influence
BTC’s habitual early-week momentum patterns
It is ideal for:
Backtesting weekly BTC behavior
Studying time-based edges
Comparing alternative weekday/time combinations
Visualizing weekly P&L structure
Risk Notes
This strategy does not attempt to predict price direction and should not be assumed profitable without robust backtesting.
Time-based edges can appear, disappear, or invert depending on macro conditions.
There is no stop loss or risk management included by default, so the strategy reflects raw timing-based performance.
Growth Breakout PRO“Unofficial growth-stock breakout scanner inspired by William O’Neil’s CAN SLIM concepts. Highlights RS leaders near highs with volume, ADL sponsorship, and Stage 2 trends. Not affiliated with Investor’s Business Daily or William O’Neil + Co.”
ICT Core LibraryBibliothèque de fonctions ICT 2022
Library "ICTCore"
detectFVG()
detectOrderBlock()
getOBScore(ob)
Parameters:
ob (OrderBlock)
getLatestOB(obs, direction, currentPrice)
Parameters:
obs (array)
direction (string)
currentPrice (float)
detectLiquiditySweep(swingLength)
Parameters:
swingLength (simple int)
detectMSS()
calculateOTEFromOB(ob)
Parameters:
ob (OrderBlock)
isInOTE(price, ob)
Parameters:
price (float)
ob (OrderBlock)
detectConfirmationCandle(direction)
Parameters:
direction (string)
getTrendHTF(timeframe)
Parameters:
timeframe (simple string)
isInSession(sessionName)
Parameters:
sessionName (string)
FVG
Fields:
top (series float)
bottom (series float)
bar_index (series int)
mitigated (series bool)
direction (series string)
OrderBlock
Fields:
high (series float)
low (series float)
bar_index (series int)
broken (series bool)
direction (series string)
hasVolume (series bool)
hasFVG (series bool)
quality (series string)
SwingPoint
Fields:
price (series float)
bar_index (series int)
type (series string)
WRB - ATR Candle Wide Range Bar indicator is design to mark impulse candle for your LTF confirmation
Risk/Reward Position SizerWith this position calculator, set an entry, stop loss, and dollar amount you'd like to risk. The indicator will automatically calculate how many shares your position should be to risk your chosen dollar amount. Additionally, the total amount of capital required will be calculated so you can verify you have enough available margin to enter your position. Works for long or short positions.
Matt's Multi-Timeframe MACD Direction AlertThe indicator monitors the direction of the Moving Average Convergence Divergence (MACD) lines on four specific timeframes: 1-hour, 15-minute, 5-minute, and 1-minute.
It only generates a signal when the MACD in all four timeframes is trending in the same direction (either all are bullish, or all are bearish). This alignment suggests a strong, synchronized market momentum from short-term scalping views up to immediate-term swing views.
Key Features:
Multi-Timeframe Confirmation: Uses TradingView's request.security() function to fetch data from different timeframes (1h, 15m, 5m, 1m), preventing the need to manually switch charts.
Visual Dashboard: A dashboard table is displayed on your chart, providing an immediate visual status (Bullish/Bearish/Neutral) for each of the four timeframes.
On-Chart Signals: The indicator plots visual shapes (green triangles for bullish alignment, red triangles for bearish alignment) directly on the sub-chart when the condition is met.
Custom Alert Integration: It includes a built-in alertcondition() function, allowing traders to set up real-time, hands-free notifications whenever a synchronized trading opportunity arises.
This tool helps filter out noise and potential false signals that might appear on a single timeframe, focusing instead on robust signals confirmed by a consensus of time perspectives.
TSD Trend DotsThis script is a modified version of the original “Trend Strength Directional (TSD)” by Trebor_Namor. All core logic, idea, and inspiration come from Trebor_Namor’s work – this version simply adds a clearer alert framework.
TSD combines a wave-based momentum filter with a custom MFI to show the strength and direction of money flow. The “black” wave tracks price momentum, while the MFI color shows whether capital is flowing into (green) or out of (red) the market.
In this edition, the dots are separated into explicit signals:
Green Dot – bullish cross (momentum turning up, potential buy/entry area).
Red Dot – bearish cross (momentum turning down, potential take-profit/exit area).
Separate alertcondition events are provided for Green and Red dots so traders can set individual alerts for long and short bias, while still respecting the original TSD concept. This script is for educational and research purposes only – always combine it with your own analysis and risk management.
KWP EMA ribbonEMA
ma8 = ta.sma(close,9)
ma21 = ta.sma(close,21)
ma200 = ta.sma(close,200)
ema74 = ta.ema(close,74)
ma610 = ta.sma(close,610)
ema987 = ta.ema(close,987)
ema34 = ta.ema(close,34)
ema89 = ta.ema(close,89)
v = ta.vwap(close)
plot(ma8, "ma9", color=color.aqua, linewidth=2)
plot(ma21, "ma21", color=color.fuchsia, linewidth=2)
plot(ma200, "ma200", color=color.rgb(202, 14, 14), linewidth=1)
plot(ema74, "ema74", color=color.maroon, linewidth=4)
plot(ma610, "ma610", color=color.blue, linewidth=3)
plot(ema987, "ema987", color=color.green, linewidth=2)
plot(ema34, "ema34", color=color.yellow, linewidth=4)
plot(ema89, "ema89", color=color.rgb(0, 166, 28), linewidth=2)
plot(v, "VWAP", color=color.orange, linewidth=4)
VWAP mit StdDev + 0,25 Bändern (dezent)This indicator displays the Volume Weighted Average Price (VWAP) together with standard deviation bands and additional ±0.25 offset bands. VWAP serves as the central reference line, while the deviation bands show how far price typically moves away from VWAP.
1 standard deviation (±1σ) covers roughly 68% of all price movements around VWAP.
2 standard deviations (±2σ) cover about 95% of price movements.
3 standard deviations (±3σ) cover approximately 99.7% of price movements.
Around VWAP and the first deviation level, extra ±0.25 offset bands are added to highlight tighter ranges. These shaded zones help traders identify areas of expected price concentration, potential support and resistance, and volatility boundaries.
Purpose: The tool provides a statistical framework for intraday trading. VWAP shows the average traded price weighted by volume, while the deviation bands indicate probability zones where price is most likely to remain.
Sessions + VWAP + MA [Kilesa]This tool visualizes global trading sessions directly on the chart by plotting real-time session ranges, VWAP levels, and customizable moving averages. It highlights session highs and lows using dynamic range boxes with selectable border styles, and allows traders to track trends with both standard and fixed-timeframe MAs. Designed for clarity and precision, the indicator helps identify liquidity zones, volatility windows, session-to-session structure, and intraday directional bias across any timeframe.
Q2A_CandlestickPatterns# Q2A Candlestick Patterns Library
A comprehensive Pine Script v6 library for detecting 44 candlestick patterns with trend detection and property calculations.
## 📋 Overview
The **Q2A_CandlestickPatterns** library provides a complete toolkit for identifying traditional Japanese candlestick patterns in TradingView. It includes both reversal and continuation patterns, organized by the number of candles required (1, 2, 3, and 5 candles).
### Key Features
- ✅ **44 Pattern Detection Functions** - Comprehensive coverage of major candlestick patterns
- ✅ **Organized by Candle Count** - Easy navigation (1, 2, 3, and 5 candle patterns)
- ✅ **Bullish/Bearish/Neutral Classification** - Clear signal categorization
- ✅ **Detailed Pattern Descriptions** - Each pattern returns name, type, and explanation
- ✅ **Property Calculation Helper** - Core function for analyzing candle characteristics
- ✅ **Clean Q2A Code Style** - Professional, maintainable, and well-documented
## 🚀 Quick Start
### Installation
```pinescript
import Quant2Alpha/Q2A_CandlestickPatterns/1 as candlePatterns
```
### Basic Usage Example
```pinescript
//@version=6
indicator("Candlestick Pattern Detector", overlay=true)
import Quant2Alpha/Q2A_CandlestickPatterns/1 as cp
// Calculate candle properties
= cp.calculateCandleProperties(open, close, high, low, ta.ema(close - open, 14), 5.0, 10.0, 10.0)
// Define trend
upTrend = close > ta.sma(close, 50)
downTrend = close < ta.sma(close, 50)
// Detect patterns
= cp.detectHammerBullish(smallBody, body, bodyLo, hl2, dnShadow, 2.0, hasUpShadow, downTrend)
= cp.detectShootingStarBearish(smallBody, body, bodyHi, hl2, upShadow, 2.0, hasDnShadow, upTrend)
// Visualize
if hammerDetected
label.new(bar_index, low, hammerName, style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small, tooltip=hammerDesc)
if shootingStarDetected
label.new(bar_index, high, shootingStarName, style=label.style_label_down, color=color.red, textcolor=color.white, size=size.small, tooltip=shootingStarDesc)
```
## 📚 Library Structure
### Core Function
#### `calculateCandleProperties()`
Calculates essential candlestick properties for pattern detection.
**Parameters:**
- `p_open`, `p_close`, `p_high`, `p_low` - OHLC prices
- `bodyAvg` - Average body size (e.g., EMA of body sizes)
- `shadowPercent` - Minimum shadow size as % of body (typically 5.0)
- `shadowEqualsPercent` - Tolerance for equal shadows (typically 10.0)
- `dojiBodyPercent` - Max body size as % of range for doji (typically 10.0)
**Returns:** 17 properties including body dimensions, shadows, and candle characteristics
## 📊 Available Patterns
### Single Candle Patterns (13 patterns)
#### Bullish (5)
| Pattern | Function | Description |
| --------------------- | -------------------------------- | ----------------------------------------------------------- |
| **Hammer** | `detectHammerBullish()` | Small body at top, long lower shadow, forms in downtrend |
| **Inverted Hammer** | `detectInvertedHammerBullish()` | Small body at bottom, long upper shadow, forms in downtrend |
| **Marubozu White** | `detectMarubozuWhiteBullish()` | Long green body with little to no shadows |
| **Long Lower Shadow** | `detectLongLowerShadowBullish()` | Lower shadow is 75%+ of total range |
| **Dragonfly Doji** | `detectDragonflyDojiBullish()` | Doji with long lower shadow, no upper shadow |
#### Bearish (5)
| Pattern | Function | Description |
| --------------------- | -------------------------------- | --------------------------------------------------------- |
| **Hanging Man** | `detectHangingManBearish()` | Small body at top, long lower shadow, forms in uptrend |
| **Shooting Star** | `detectShootingStarBearish()` | Small body at bottom, long upper shadow, forms in uptrend |
| **Marubozu Black** | `detectMarubozuBlackBearish()` | Long red body with little to no shadows |
| **Long Upper Shadow** | `detectLongUpperShadowBearish()` | Upper shadow is 75%+ of total range |
| **Gravestone Doji** | `detectGravestoneDojiBearish()` | Doji with long upper shadow, no lower shadow |
#### Neutral (3)
| Pattern | Function | Description |
| ---------------------- | -------------------------- | --------------------------------------------- |
| **Doji** | `detectDoji()` | Open equals close, indicates indecision |
| **Spinning Top White** | `detectSpinningTopWhite()` | Small green body with long shadows both sides |
| **Spinning Top Black** | `detectSpinningTopBlack()` | Small red body with long shadows both sides |
### Two Candle Patterns (15 patterns)
#### Bullish (7)
| Pattern | Function | Description |
| ------------------------ | ------------------------------ | ------------------------------------------------------ |
| **Rising Window** | `detectRisingWindowBullish()` | Gap up between two candles in uptrend |
| **Tweezer Bottom** | `detectTweezerBottomBullish()` | Two candles with identical lows in downtrend |
| **Piercing** | `detectPiercingBullish()` | Green candle closes above midpoint of prior red candle |
| **Doji Star Bullish** | `detectDojiStarBullish()` | Doji gaps down after red candle in downtrend |
| **Engulfing Bullish** | `detectEngulfingBullish()` | Large green candle engulfs prior small red candle |
| **Harami Bullish** | `detectHaramiBullish()` | Small green candle contained in prior large red candle |
| **Harami Cross Bullish** | `detectHaramiCrossBullish()` | Doji contained in prior large red candle |
#### Bearish (8)
| Pattern | Function | Description |
| ------------------------ | ------------------------------- | ------------------------------------------------------ |
| **On Neck** | `detectOnNeckBearish()` | Small green closes near prior red candle's low |
| **Falling Window** | `detectFallingWindowBearish()` | Gap down between two candles in downtrend |
| **Tweezer Top** | `detectTweezerTopBearish()` | Two candles with identical highs in uptrend |
| **Dark Cloud Cover** | `detectDarkCloudCoverBearish()` | Red candle closes below midpoint of prior green candle |
| **Doji Star Bearish** | `detectDojiStarBearish()` | Doji gaps up after green candle in uptrend |
| **Engulfing Bearish** | `detectEngulfingBearish()` | Large red candle engulfs prior small green candle |
| **Harami Bearish** | `detectHaramiBearish()` | Small red candle contained in prior large green candle |
| **Harami Cross Bearish** | `detectHaramiCrossBearish()` | Doji contained in prior large green candle |
### Three Candle Patterns (14 patterns)
#### Bullish (7)
| Pattern | Function | Description |
| -------------------------- | ----------------------------------- | ------------------------------------------------ |
| **Upside Tasuki Gap** | `detectUpsideTasukiGapBullish()` | Three candles with gap that fails to close |
| **Morning Doji Star** | `detectMorningDojiStarBullish()` | Red, gapped doji, green - stronger morning star |
| **Morning Star** | `detectMorningStarBullish()` | Red, small middle, green - classic reversal |
| **Three White Soldiers** | `detectThreeWhiteSoldiersBullish()` | Three consecutive long green candles |
| **Abandoned Baby Bullish** | `detectAbandonedBabyBullish()` | Doji gaps away from both surrounding candles |
| **Tri-Star Bullish** | `detectTriStarBullish()` | Three dojis with gaps between them |
| **Kicking Bullish** | `detectKickingBullish()` | Black marubozu followed by gapped white marubozu |
#### Bearish (7)
| Pattern | Function | Description |
| -------------------------- | ---------------------------------- | ------------------------------------------------ |
| **Downside Tasuki Gap** | `detectDownsideTasukiGapBearish()` | Three candles with gap that fails to close |
| **Evening Doji Star** | `detectEveningDojiStarBearish()` | Green, gapped doji, red - stronger evening star |
| **Evening Star** | `detectEveningStarBearish()` | Green, small middle, red - classic reversal |
| **Three Black Crows** | `detectThreeBlackCrowsBearish()` | Three consecutive long red candles |
| **Abandoned Baby Bearish** | `detectAbandonedBabyBearish()` | Doji gaps away from both surrounding candles |
| **Tri-Star Bearish** | `detectTriStarBearish()` | Three dojis with gaps between them |
| **Kicking Bearish** | `detectKickingBearish()` | White marubozu followed by gapped black marubozu |
### Five Candle Patterns (2 patterns)
#### Bullish (1)
| Pattern | Function | Description |
| ------------------------ | ----------------------------------- | ----------------------------------------------------- |
| **Rising Three Methods** | `detectRisingThreeMethodsBullish()` | Long green, three small reds inside range, long green |
#### Bearish (1)
| Pattern | Function | Description |
| ------------------------- | ------------------------------------ | --------------------------------------------------- |
| **Falling Three Methods** | `detectFallingThreeMethodsBearish()` | Long red, three small greens inside range, long red |
## 💡 Advanced Usage Examples
### Multi-Pattern Strategy
```pinescript
//@version=6
strategy("Multi-Pattern Strategy", overlay=true)
import Quant2Alpha/Q2A_CandlestickPatterns/1 as cp
// Setup
bodyAvg = ta.ema(math.abs(close - open), 14)
= cp.calculateCandleProperties(open, close, high, low, bodyAvg, 5.0, 10.0, 10.0)
// Trends
sma50 = ta.sma(close, 50)
sma200 = ta.sma(close, 200)
upTrend = close > sma50 and sma50 > sma200
downTrend = close < sma50 and sma50 < sma200
// Detect bullish patterns
= cp.detectHammerBullish(smallBody, body, bodyLo, hl2, dnShadow, 2.0, hasUpShadow, downTrend)
= cp.detectEngulfingBullish(downTrend, whiteBody, longBody, blackBody, smallBody, close, open)
= cp.detectMorningStarBullish(longBody, smallBody, downTrend, blackBody, whiteBody, bodyHi, bodyLo, bodyMiddle)
// Detect bearish patterns
= cp.detectShootingStarBearish(smallBody, body, bodyHi, hl2, upShadow, 2.0, hasDnShadow, upTrend)
= cp.detectDarkCloudCoverBearish(upTrend, whiteBody, longBody, blackBody, open, high, close, bodyMiddle)
= cp.detectEveningStarBearish(longBody, smallBody, upTrend, whiteBody, blackBody, bodyLo, bodyHi, bodyMiddle)
// Entry signals
bullishSignal = hammer or engulfing or morningStar
bearishSignal = shootingStar or darkCloud or eveningStar
// Execute trades
if bullishSignal and strategy.position_size == 0
strategy.entry("Long", strategy.long)
if bearishSignal and strategy.position_size > 0
strategy.close("Long")
```
### Pattern Scanner Indicator
```pinescript
//@version=6
indicator("Pattern Scanner", overlay=true)
import Quant2Alpha/Q2A_CandlestickPatterns/1 as cp
// Configuration
showBullish = input.bool(true, "Show Bullish Patterns")
showBearish = input.bool(true, "Show Bearish Patterns")
showNeutral = input.bool(false, "Show Neutral Patterns")
// Calculate properties
bodyAvg = ta.ema(math.abs(close - open), 14)
= cp.calculateCandleProperties(open, close, high, low, bodyAvg, 5.0, 10.0, 10.0)
// Trends
upTrend = close > ta.sma(close, 50)
downTrend = close < ta.sma(close, 50)
// Scan for all patterns and display
// (Add pattern detection and visualization logic here)
```
## 🔧 Configuration Best Practices
### Recommended Parameter Values
| Parameter | Typical Value | Description |
| ---------------------- | ----------------------------- | ------------------------------- |
| `bodyAvg` | `ta.ema(abs(close-open), 14)` | 14-period EMA of body size |
| `shadowPercent` | `5.0` | 5% of body for shadow detection |
| `shadowEqualsPercent` | `10.0` | 10% tolerance for equal shadows |
| `dojiBodyPercent` | `10.0` | Body ≤10% of range = doji |
| `factor` (hammer/star) | `2.0` | Shadow should be 2x body size |
### Trend Definition
```pinescript
// Simple SMA crossover
upTrend = close > ta.sma(close, 50)
downTrend = close < ta.sma(close, 50)
// Double SMA confirmation
upTrend = close > ta.sma(close, 50) and ta.sma(close, 50) > ta.sma(close, 200)
downTrend = close < ta.sma(close, 50) and ta.sma(close, 50) < ta.sma(close, 200)
// EMA trend
upTrend = close > ta.ema(close, 20)
downTrend = close < ta.ema(close, 20)
```
## 📖 Function Return Format
All pattern detection functions return a tuple with 4 elements:
```pinescript
```
- **detected** (bool) - `true` if pattern is found, `false` otherwise
- **name** (string) - Pattern name (e.g., "Hammer", "Shooting Star")
- **type** (string) - "Bullish", "Bearish", or "Neutral"
- **description** (string) - Detailed explanation of the pattern
### Example
```pinescript
= cp.detectHammerBullish(...)
if isHammer
log.info("Pattern: " + patternName) // "Hammer"
log.info("Type: " + patternType) // "Bullish"
log.info("Info: " + patternInfo) // Full description
```
## 🎯 Pattern Reliability
### High Reliability (Strong Signals)
- Engulfing patterns (Bullish/Bearish)
- Morning/Evening Star formations
- Three White Soldiers / Three Black Crows
- Hammer / Shooting Star (with confirmation)
### Medium Reliability (Use with Confirmation)
- Harami patterns
- Piercing / Dark Cloud Cover
- Tweezer Top/Bottom
- Doji Star patterns
### Context-Dependent (Require Trend Analysis)
- Window patterns (gaps)
- Kicking patterns
- Tasuki Gap patterns
- Three Methods patterns
## 📝 Notes
- **Trend Context is Critical**: Most reversal patterns require proper trend identification for accuracy
- **Confirmation Recommended**: Wait for next candle confirmation before taking action
- **Volume Matters**: Consider volume alongside patterns (not included in this library)
- **Multiple Timeframes**: Check patterns across multiple timeframes for stronger signals
- **Risk Management**: Always use stop losses regardless of pattern strength
## 🔗 Integration with Other Indicators
This library works well with:
- Moving averages (trend confirmation)
- RSI/Stochastic (overbought/oversold)
- Volume indicators (confirmation)
- Support/Resistance levels (context)
- ATR (position sizing)
## 📄 License
This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
## 👤 Author
© Quant2Alpha
## 🆘 Support
For issues, questions, or contributions, please refer to the QUANT2ALPHA documentation or community channels.
---
**Version:** 1.0
**Pine Script Version:** 6
**Last Updated:** 2025
2 MACD VISUEL — 4H / 1H / 15M + CONFIRMATION 5M//@version=6
indicator("MTF MACD VISUEL — 4H / 1H / 15M + CONFIRMATION 5M", overlay=true, max_labels_count=500)
// ─────────────────────────────
// Fonction MACD Histogram
// ─────────────────────────────
f_macd(src) =>
fast = ta.ema(src, 12)
slow = ta.ema(src, 26)
macd = fast - slow
signal = ta.ema(macd, 9)
hist = macd - signal
hist
// ─────────────────────────────
// MTF MACD HISTOGRAM
// ─────────────────────────────
h4 = request.security(syminfo.tickerid, "240", f_macd(close))
h1 = request.security(syminfo.tickerid, "60", f_macd(close))
h15 = request.security(syminfo.tickerid, "15", f_macd(close))
h5 = request.security(syminfo.tickerid, "5", f_macd(close))
// Signes
s4 = h4 > 0 ? 1 : h4 < 0 ? -1 : 0
s1 = h1 > 0 ? 1 : h1 < 0 ? -1 : 0
s15 = h15 > 0 ? 1 : h15 < 0 ? -1 : 0
s5 = h5 > 0 ? 1 : h5 < 0 ? -1 : 0
// Conditions
three_same = (s4 == s1) and (s1 == s15) and (s4 != 0)
five_same = three_same and (s5 == s4)
// BUY / SELL logiques
isBUY = five_same and s4 == 1
isSELL = five_same and s4 == -1
// ─────────────────────────────
// DASHBOARD VISUEL (en haut du graphique)
// ─────────────────────────────
var table dash = table.new(position.top_right, 4, 2, border_color=color.black)
table.cell(dash, 0, 0, "4H", bgcolor = s4 == 1 ? color.green : s4 == -1 ? color.red : color.gray)
table.cell(dash, 1, 0, "1H", bgcolor = s1 == 1 ? color.green : s1 == -1 ? color.red : color.gray)
table.cell(dash, 2, 0, "15M", bgcolor = s15 == 1 ? color.green : s15 == -1 ? color.red : color.gray)
table.cell(dash, 3, 0, "5M", bgcolor = s5 == 1 ? color.green : s5 == -1 ? color.red : color.gray)
table.cell(dash, 0, 1, s4 == 1 ? "↑" : s4 == -1 ? "↓" : "·", bgcolor=color.new(color.black, 0), text_color=color.white)
table.cell(dash, 1, 1, s1 == 1 ? "↑" : s1 == -1 ? "↓" : "·", bgcolor=color.new(color.black, 0), text_color=color.white)
table.cell(dash, 2, 1, s15 == 1 ? "↑" : s15 == -1 ? "↓" : "·", bgcolor=color.new(color.black, 0), text_color=color.white)
table.cell(dash, 3, 1, s5 == 1 ? "↑" : s5 == -1 ? "↓" : "·", bgcolor=color.new(color.black, 0), text_color=color.white)
// ─────────────────────────────
// SIGNES VISUELS SUR LE GRAPHIQUE
// ─────────────────────────────
plotshape(isBUY, title="BUY", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.large, text="BUY")
plotshape(isSELL, title="SELL", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.large, text="SELL")
// Histogramme du MACD 5M en couleur tendance
plot(h5, title="MACD Hist 5M", color = h5 >= 0 ? color.green : color.red, style=plot.style_columns)
// ─────────────────────────────
// Alerte Webhook (message constant OBLIGATOIRE)
// ─────────────────────────────
alertcondition(isBUY, title="Signal BUY Confirmé", message="MTF_MACD_BUY")
alertcondition(isSELL, title="Signal SELL Confirmé", message="MTF_MACD_SELL")
MyLibrary with listLibrary "MyLibrary"
fun(x)
- This has a dot
1. This has a number
Parameters:
x (float) : TODO:
- This has a dot
1. This has a number
1MTF MACD Alignement XAUUSD - Webhook v6//@version=6
indicator("MTF MACD Alignement XAUUSD - Webhook v6", overlay=false)
// ===== Paramètres utilisateur =====
fast_len = input.int(12, "Fast Length")
slow_len = input.int(26, "Slow Length")
signal_len = input.int(9, "Signal Length")
repl_secret = input.string(title="Webhook secret (doit matcher WEBHOOK_SECRET)", defval="Covid-19@2020")
// ===== Fonction MACD histogramme =====
f_macd_hist(src) =>
macd = ta.ema(src, fast_len) - ta.ema(src, slow_len)
signal = ta.ema(macd, signal_len)
hist = macd - signal
hist
// ===== Récupération multi-timeframe =====
hist4h = request.security(syminfo.tickerid, "240", f_macd_hist(close), lookahead=barmerge.lookahead_off)
hist1h = request.security(syminfo.tickerid, "60", f_macd_hist(close), lookahead=barmerge.lookahead_off)
hist15m = request.security(syminfo.tickerid, "15", f_macd_hist(close), lookahead=barmerge.lookahead_off)
hist5m = request.security(syminfo.tickerid, "5", f_macd_hist(close), lookahead=barmerge.lookahead_off)
// ===== Signes de MACD =====
s4 = hist4h > 0 ? 1 : (hist4h < 0 ? -1 : 0)
s1 = hist1h > 0 ? 1 : (hist1h < 0 ? -1 : 0)
s15 = hist15m > 0 ? 1 : (hist15m < 0 ? -1 : 0)
s5 = hist5m > 0 ? 1 : (hist5m < 0 ? -1 : 0)
// ===== Vérification alignement TF supérieurs =====
three_same = (s4 != 0) and (s4 == s1) and (s1 == s15)
// ===== Confirmation 5M =====
five_in_same = three_same and (s5 == s4)
// ===== Préparation du JSON pour webhook =====
signal_type = s4 == 1 ? "BUY" : (s4 == -1 ? "SELL" : "NEUTRAL")
alert_json = '{"secret":"'+repl_secret+'","symbol":"'+syminfo.ticker+'","signal":"'+signal_type+'","time":"'+str.tostring(time, "yyyy-MM-dd HH:mm:ss")+'","aligned": }'
// ===== Alertcondition compilable =====
// v6 n’accepte pas message dynamique, donc on met un message fixe
alertcondition(five_in_same and ta.change(five_in_same), title="MACD Align + 5M confirm", message="MACD alignement détecté")
// ===== Affichage optionnel des histogrammes =====
plot(hist4h, title="hist 4H", color=color.new(color.green, 0), linewidth=1)
plot(hist1h, title="hist 1H", color=color.new(color.blue, 0), linewidth=1)
plot(hist15m, title="hist 15M", color=color.new(color.orange, 0), linewidth=1)
plot(hist5m, title="hist 5M", color=color.new(color.purple, 0), linewidth=1)
Trillotron 5000 Checklist AssistantTrillotron 5000’s Checklist Assistant is a complete multi-factor trading confirmation system designed to help traders avoid low-quality entries and only take high-probability setups.
The indicator evaluates market structure, multi-timeframe EMA alignment, volume, ATR, key levels, and candle confirmation to determine whether a chart meets the full criteria for a CALL (bullish) or PUT (bearish) setup.
When all conditions align, the indicator highlights the chart with a colored background (green for CALL, red for PUT) and prints a clear signal label on the bar. This tool helps reinforce discipline, reduce impulsive trades, and support consistent decision-making across all timeframes.
Moving Averages (all Types) MTF colored! by Moin-TradingEnglish 🇬🇧
Title: Moving Averages (all Types) MTF colored!
Short Description:
By Moin-Trading. A customizable Moving Average Ribbon that automatically colors the lines green if the closing price is above the MA, and red if the price is below it. Based on the classic "MA Ribbon" indicator.
Description:
This indicator, provided by Moin-Trading, is based on the structure of the popular "Moving Average Ribbon" (MA Ribbon) indicator, but enhances it with powerful dynamic color coding and full MA type flexibility.
It offers a visually intuitive tool for market analysis. It plots four individually adjustable moving averages (MAs) on your chart and applies dynamic color coding based on current price action.
Key Features:
Dynamic Coloring: Each MA line automatically turns green if the current close price is greater than or equal to the MA (bullish sentiment), and red if the price is below it (bearish sentiment). This allows for a quick visual assessment of the trend relative to multiple timeframes.
Four Customizable MAs: Track up to four different moving averages simultaneously (defaulting to 20, 50, 100, 200 periods).
MA Type Flexibility: The indicator supports all MA types (SMA, EMA, RMA, WMA, VWMA), with EMA set as the default.
MTF (Multi-Timeframe): The timeframe = "" setting allows you to run the indicator on any desired timeframe to view higher-timeframe MAs on your current chart.
MACD nothing newThere’s nothing new in this indicator, but I strongly recommend hiding the signal line and the histogram.
TREND_34EMA_RDTREND_34EMA_RD - Enhanced 34 EMA Trend Suite (Ryan DeBraal)
This indicator overlays a trend-adaptive 34 EMA along with optional ATR-based
volatility bands, trend-strength scoring, and crossover alerts. It is built
to give a clean, fast visual read on the current trend direction, volatility,
and momentum quality.
FEATURES
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• Core 34 EMA Trend Line
- Standard EMA calculation (default length 34)
- Aqua coloring for clean visibility
- Adjustable line thickness
• ATR-Based Volatility Bands
- Upper and lower bands derived from ATR
- Adjustable ATR length and multiplier
- Optional shaded channel for volatility visualization
- Helps identify trend stability and over-extension
• Trend Strength Score
- Measures slope of the EMA over a lookback window
- Normalizes slope using ATR for consistency across markets
- Outputs a 0–100 score
- Auto-updating label placed at the latest bar
• Gray for weak trend
• Orange for moderate trend
• Green for strong trend
• Optional Crossover Signals
- Detects when price crosses above or below the EMA
- Can display arrows on the chart
- Built-in alert conditions
PURPOSE
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This suite provides a clean, minimalistic way to monitor directional bias,
volatility, and trend quality. Ideal for:
• Identifying early trend shifts
• Confirming trend continuation
• Filtering trades based on trend strength
• Detecting over-extension using volatility bands
Global M2(USD) V2This indicator tracks the total Global M2 Money Supply in USD. It aggregates economic data from the world's four largest central banks (Fed, PBOC, ECB, BOJ). The script automatically converts non-USD money supplies (CNY, EUR, JPY) into USD using real-time exchange rates to provide a unified view of global liquidity.
Usage
Macro Analysis: Overlay this on assets like Bitcoin or the S&P 500 to see if price appreciation is driven by fiat currency debasement ("money printing").
Liquidity Trends: A rising orange line indicates expanding global liquidity (generally bullish for risk assets), while a falling line suggests monetary tightening.
Real-time Data: A label at the end of the line displays the exact raw total in USD for precise tracking.
该脚本旨在追踪以美元计价的全球 M2 货币供应总量。它聚合了四大央行（美联储、中国央行、欧洲央行、日本央行）的经济数据，并通过实时汇率将非美货币（人民币、欧元、日元）统一折算为美元，从而构建出一个标准化的全球流动性指标。
用法
宏观对冲： 将其叠加在比特币或股票图表上，用于判断资产价格的上涨是否由全球法币“大放水”推动。
趋势研判： 橙色曲线向上代表全球流动性扩张（通常利好风险资产），向下则代表流动性紧缩。
数据直观： 脚本会在图表末端生成一个标签，实时显示当前全球 M2 的具体美元总额。
S&P 500 Breadth: Bull vs Bear (20DMA)S&P 500 Breadth: Bull vs Bear (20DMA)
Use as simple market breadth
