Close Above Prev High / Below Prev LowIdentifies candles that close above the previous candle's high (bullish) and candles that close below the previous candle's low (bearish). Helps with decisions for entry and exit.
Penunjuk dan strategi
✅ 200 EMA + RSI Pullback + Volume Surge (Full Strategy)200 EMA Trend + RSI Pullback + Volume Surge Strategy (Advanced)
📖 Strategy Description:
This strategy is designed to identify high-probability entries in trending markets using a combination of trend-following and momentum re-entry principles. It works effectively for intraday and swing trading on equities, indices, and crypto.
🔍 Entry Logic:
✅ Long Entry Conditions:
Trend Confirmation:
Price must be above the 200 EMA, indicating a bullish trend.
RSI Pullback:
RSI must drop below a defined level (default 40), indicating a healthy pullback in an uptrend.
Volume Surge:
Current volume must be above 1.5× the 20-period average, confirming strong buying activity.
Entry Triggered on Candle Close:
Ensures reliable confirmation instead of premature entries.
Short Entry Conditions (reverse logic):
Price below the 200 EMA
RSI above threshold (default 60)
Volume surge
Entry only after candle close
Exit Conditions:
Take Profit (TP):
Book profits at 2% move (configurable).
Stop Loss (SL):
Protect capital at 1% loss (configurable).
Trailing Stop Loss (TSL):
Follows the price with a 1.5% trail to lock in profits.
Time-Based Exit:
Closes position automatically after a fixed number of candles (default: 5 bars).
Alerts:
Built-in alerts notify when a Long or Short setup is triggered, allowing traders to act or automate execution.
Best Used On:
Timeframes: 15-minute, 1-hour, or Daily
Markets: NIFTY, BANKNIFTY, RELIANCE, INFY, BTC/USD, ETH/USD
Styles: Intraday, Swing, Trend-followinG
Ideal For:
Traders who follow pullback entries in strong trends
Users looking for automated alerts and exits
Strategies requiring volume confirmation + trend bias
CMF Hybrid Scalper (1m Optimized)CMF Hybrid SCALPER That measures the change of CMF and smoothen it with EMA. Gives green zone zero and vise versa
Smart Money Trap SignalSmart Money Trap Signal – Indicator Description
The Smart Money Trap Signal is a precision-based trading tool designed to identify areas where institutional traders (smart money) are likely to trap retail traders through false breakouts and liquidity grabs. These traps often occur near key highs and lows, where retail traders are lured into trades just before price reverses sharply.
🔍 Key Features:
Liquidity Sweep Detection
Identifies false breakouts of recent swing highs or lows, signaling potential liquidity grabs by large players.
Reversal Confirmation
Confirms the trap using a classic price action reversal pattern (bullish or bearish engulfing), helping filter out weak signals.
Optional Volume Spike Filter
Allows additional confirmation based on a significant spike in volume, indicating potential institutional involvement.
Buy and Sell Trap Signals
🔴 Smart Money Short (SMT↓) – Triggered when price sweeps a high and reverses down.
🟢 Smart Money Long (SMT↑) – Triggered when price sweeps a low and reverses up.
Alerts & Labels
Real-time alert conditions and on-chart labels to help you catch setups without missing opportunities.
📈 How to Use:
Apply on Higher Timeframes (1H, 4H, Daily) for cleaner signals.
Look for SMT signals at key supply/demand zones or market structure points.
Combine with your existing trading strategy, such as order blocks or break of structure (BoS), for higher accuracy.
Use volume filter only if you're analyzing markets where volume data is reliable.
⚠️ Disclaimer:
This tool is meant to assist with trade identification, not trade execution. Always use proper risk management and validate setups with your trading plan.
Moving Average ExponentialThis indicator plots 8 Exponential Moving Averages (EMAs) with customizable lengths: 20, 25, 30, 35, 40, 45, 50, and 55. It also includes optional smoothing using various moving average types (SMA, EMA, WMA, etc.) and an optional Bollinger Bands overlay based on the EMA. It helps identify trend direction, momentum, and potential reversal zones.
Boomerang Trading Indicator# Boomerang News Trading Indicator
## Overview
The Boomerang Trading Indicator is designed to identify potential reversal opportunities following major economic news releases. This indicator analyzes the initial market reaction to news events and provides visual cues for potential counter-trend trading opportunities based on Fibonacci retracement levels.
## How It Works
### News Event Detection
- Automatically detects major news release times (NFP, CPI, FOMC, etc.)
- Analyzes the first significant price movement following news releases
- Requires minimum candle size threshold to filter out weak reactions
### First Move Analysis
The indicator employs multiple analytical methods to determine the initial market direction:
**Simple Analysis (High Confidence):**
- When the news candle has ≥70% body-to-total ratio, uses straightforward bullish/bearish classification
**Advanced Analysis (Complex Cases):**
- Volume-weighted direction analysis
- Momentum and wick pattern analysis
- Market structure and gap analysis
- Weighted voting system combining all methods
### Entry Signal Generation
Based on the "boomerang" concept where markets often reverse after initial news reactions:
**For Bullish First Moves (Price Up Initially):**
- Generates SHORT entry signals when price retraces to 1.25-1.5 Fibonacci levels
- Visual: Red triangles above price bars
**For Bearish First Moves (Price Down Initially):**
- Generates LONG entry signals when price retraces to -0.25 to -0.5 Fibonacci levels
- Visual: Green triangles below price bars
## Key Features
### Visual Elements
- **Fibonacci Levels**: Displays key retracement levels based on the initial reaction range
- **Entry Zones**: Clear visual marking of optimal entry areas
- **Direction Arrows**: Shows the initial market reaction direction
- **Target Levels**: Displays profit target zones at 50% and 100% retracement levels
### Information Panel
Real-time display showing:
- Current setup status
- First move direction and body percentage
- Recommended trade direction
- Key price levels (reaction high/low)
- Profit targets with historical success rates
### Alert System
- Pre-news warnings (customizable timing)
- News event notifications
- Setup activation alerts
- Entry signal notifications
### Success Tracking
- Visual "BOOM!" animations when targets are hit
- Target 1 (50% level): ~95% historical success rate
- Target 2 (Main target): ~80% historical success rate
## Configuration Options
### Time Settings
- News release hour and minute (customizable for different events)
- Pre-news alert timing
- Setup duration (default 60 bars after news)
### Fibonacci Levels
- Adjustable retracement percentages
- Customizable target levels
- Mid-level importance weighting
### Risk Management
- Minimum reaction candle size filter
- Maximum risk point setting
- Visual risk/reward display
### Display Options
- Toggle Fibonacci level visibility
- Toggle target level display
- Toggle animation effects
- Customizable alert preferences
## Applicable News Events
This indicator is designed for high-impact economic releases:
- Non-Farm Payrolls (NFP) - First Friday, 8:30 AM ET
- Consumer Price Index (CPI) - Monthly, 8:30 AM ET
- Producer Price Index (PPI) - Monthly, 8:30 AM ET
- Gross Domestic Product (GDP) - Quarterly, 8:30 AM ET
- FOMC Interest Rate Decisions - 8 times yearly, 2:00 PM ET
## Trading Strategy Framework
### Core Principle
Markets often overreact to news initially, then reverse toward more rational price levels. This "boomerang effect" creates short-term trading opportunities.
### Entry Strategy
1. Wait for significant initial reaction (>10 points minimum)
2. Identify the initial direction using multi-factor analysis
3. Trade opposite to the initial reaction when price reaches sweet spot zones
4. Use Fibonacci retracement levels as entry triggers
### Risk Management
- Always use appropriate position sizing
- Set stop losses beyond recent swing levels
- Consider market volatility and news importance
- Monitor for setup invalidation signals
## Important Notes
### Educational Purpose
This indicator is for educational and analytical purposes. Users should:
- Thoroughly test strategies in demo environments
- Understand the risks involved in news trading
- Consider market conditions and volatility
- Use proper risk management techniques
### Market Considerations
- High volatility during news events increases both opportunity and risk
- Spreads may widen significantly during news releases
- Different brokers may have varying execution conditions
- Economic calendar timing may vary between sources
### Limitations
- Past performance does not guarantee future results
- Market conditions can change, affecting strategy effectiveness
- News events may have unexpected outcomes affecting normal patterns
- Technical analysis should be combined with fundamental analysis
## Version Information
- Compatible with TradingView Pine Script v5
- Designed for 1-minute timeframe optimal performance
- Works on major forex pairs, indices, and commodities
- Regular updates based on market condition changes
---
**Disclaimer:** This indicator is provided for educational purposes only. Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. Users should conduct their own research and consider their financial situation before making trading decisions.
ZYTX GKDDThe ZYTX High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
ZYTX CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
Close vs 50SMA % (Bars colored by 20SMA)This indicator plots the percentage difference between the Close price and the 50-period Simple Moving Average (SMA50), and colors each bar based on whether the Close is above or below the 20-period SMA (SMA20).
Intraday TWAP SimpleSlivKurs. This script implements a classic VWAP using ChatGPT (OpenAI). Purely a home project.
Perfect MA Touch – Full Setup 1,3,5,7,8,9 v2This indicator helps you track a precise candle countdown from a moving average touch, labeling key bars (1, 3, 5, 7, 8, 9) for timing entries and momentum setups — with optional coloring, alerts, and full customization.
What It Detects
1. MA Touch Trigger
The sequence starts when any selected moving average (up to 6 MAs, customizable) is touched by the candle's high/low range.
This "perfect touch" initiates the count and labels that candle as "1".
2. Candle Number Labels
After a perfect MA touch:
Candle 1 = the bar that touches the MA
Candle 3 = two bars after Candle 1
Candle 5 = the fifth bar after the touch
Candle 7 = third bar after Candle 5
Candle 8 = fourth bar after Candle 5
Candle 9 = fifth bar after Candle 5
It creates a time-based sequence you can use to anticipate reactions or momentum shifts.
3. Customization
You can:
Choose between EMA or SMA for each MA (6 total)
Set custom lengths for each MA (9, 20, 50, 100, 150, 200)
Choose which candle numbers (1, 3, 5, 7, 8, 9) to highlight
Pick font size and label color
4. Highlighting and Alerts
Highlight candles (with color) when certain bars (like 3, 5, 7) print
Alerts are available for all tracked bars (1, 3, 5, 7, 8, 9)
Use Case Example
Let’s say you want to enter trades on the 3rd candle after a perfect MA touch:
You set the script to highlight candle 3.
When a candle hits your chosen MA (say EMA 9), it’s labeled “1”.
Two bars later, bar 3 appears — giving you a timed signal to enter if price behavior aligns.
This method is especially useful when paired with:
Volume confirmation
Breakout or reversal patterns
Support/resistance or order block zones
ADX > 20 and Price Rejection from 50 SMAindicator to show price rejections at 50 SMA with adx above 20
JG | RSI Overbought/OversoldRSI Overbought/Oversold Indicator
Shows backgrounds for each condition and allows alerts as well.
Enjoy ^-^
Mariam 5m Scalping Breakout StrategyPurpose
A 5-minute scalping breakout strategy designed to capture fast 3-5 pip moves with high probability, using premium/discount zone filters and market bias conditions. Developed for traders seeking consistent scalps with a proven win rate above 95–98% in optimal conditions.
How It Works
The script monitors price action in 5-minute intervals, forming a 15-minute high and low range by tracking the highs and lows of the first 3 consecutive 5-minute candles starting from a custom time. In the next 3 candles, it waits for a breakout above the 15m high or below the 15m low while confirming market bias using custom equilibrium zones.
Buy signals trigger when price breaks the 15m high while in a discount zone
Sell signals trigger when price breaks the 15m low while in a premium zone
The strategy simulates trades with fixed 3-5 pip take profit and stop loss values (configurable). All trades are recorded in a table with live trade results and an automatically updated win rate, typically achieving over 90–95% accuracy in favorable market conditions.
Features
Designed exclusively for the 5-minute timeframe
Custom 15-minute high/low breakout logic
Premium, Discount, and Equilibrium zone display
Built-in backtest tracker with live trade results, statistics, and win rate
Customizable start time, take profit, and stop loss settings
Real-time alerts on breakout signals
Visual markers for trade entries and failed trades
Consistent win rate exceeding 90–95% on average when following market conditions
Usage Tips
Use strictly on 5-minute charts for accurate signal performance. Avoid during high-impact news releases.
Important: Once a trade is opened, manually set your take profit at +3 to +5 pips immediately to secure the move, as these quick scalps often hit the target within a single candle. This prevents missed exits during rapid price action.
Historical Volatility with HV Average & High/Low TrendlinesHere's a detailed description of your Pine Script indicator:
---
### 📊 **Indicator Title**: Historical Volatility with HV Average & High/Low Trendlines
**Version**: Pine Script v5
**Purpose**:
This script visualizes market volatility using **Historical Volatility (HV)** and enhances analysis by:
* Showing a **moving average** of HV to identify volatility trends.
* Marking **high and low trendlines** to highlight extremes in volatility over a selected period.
---
### 🔧 **Inputs**:
1. **HV Length (`length`)**:
Controls how many bars are used to calculate Historical Volatility.
*(Default: 10)*
2. **Average Length (`avgLength`)**:
Number of bars used for calculating the moving average of HV.
*(Default: 20)*
3. **Trendline Lookback Period (`trendLookback`)**:
Number of bars to look back for calculating the highest and lowest values of HV.
*(Default: 100)*
---
### 📈 **Core Calculations**:
1. **Historical Volatility (`hv`)**:
$$
HV = 100 \times \text{stdev}\left(\ln\left(\frac{\text{close}}{\text{close} }\right), \text{length}\right) \times \sqrt{\frac{365}{\text{period}}}
$$
* Measures how much the stock price fluctuates.
* Adjusts annualization factor depending on whether it's intraday or daily.
2. **HV Moving Average (`hvAvg`)**:
A simple moving average (SMA) of HV over the selected `avgLength`.
3. **HV High & Low Trendlines**:
* `hvHigh`: Highest HV value over the last `trendLookback` bars.
* `hvLow`: Lowest HV value over the last `trendLookback` bars.
---
### 🖍️ **Visual Plots**:
* 🔵 **HV**: Blue line showing raw Historical Volatility.
* 🔴 **HV Average**: Red line (thicker) indicating smoothed HV trend.
* 🟢 **HV High**: Green horizontal line marking volatility peaks.
* 🟠 **HV Low**: Orange horizontal line marking volatility lows.
---
### ✅ **Usage**:
* **High HV**: Indicates increased risk or potential breakout conditions.
* **Low HV**: Suggests consolidation or calm markets.
* **Cross of HV above Average**: May signal rising volatility (e.g., before breakout).
* **Touching High/Low Levels**: Helps identify volatility extremes and possible reversal zones.
---
Let me know if you’d like to add:
* Alerts when HV crosses its average.
* Shaded bands or histogram visualization.
* Bollinger Bands for HV.
Exponential Moving Averages📘 Exponential Moving Averages – Clean & Focused Trend Tool
This script displays five Exponential Moving Averages (EMAs) — 10, 20, 50, 100, and 200 — that are commonly used by professional traders to identify short-, medium-, and long-term trend directions. It offers a simple, no-setup-needed solution for visualizing market momentum and price structure on any timeframe.
🧠 Why This Script Was Created
Previously, many users faced confusion with built-in moving average scripts, where they had to manually change the type to EMA from the default SMA (Simple Moving Average). This extra step was unintuitive for newer users and could lead to misinterpretation of signals.
To solve this, we’ve created a dedicated script that only plots Exponential Moving Averages — no configuration needed. EMAs are more responsive to price changes and widely used in real-world trading setups, especially for intraday and swing strategies.
🔍 How It Works
EMA 10 & 20 – Detect short-term momentum shifts.
EMA 50 & 100 – Help visualize medium-term trend strength.
EMA 200 – Tracks long-term trend direction and institutional positioning.
Each EMA is plotted with distinct colors and line thickness to make trend tracking fast and intuitive.
⚙️ How to Use
Use across any timeframe (5m, 1H, 1D, etc.).
Watch for crossovers between shorter and longer EMAs.
Observe price interaction with EMAs as dynamic support/resistance levels.
Combine with other tools like RSI, volume, or price action patterns for confirmation.
🌟 What Makes It Unique
No settings confusion: Always uses EMA — no manual adjustments needed.
Multiple EMAs in one: Avoid clutter by combining essential levels in a clean overlay.
Practical by design: Built for traders who prefer responsive, real-time trend signals.
Opening Candle Indicator V4
Details of this release:
1. Add an alert with two conditions:
- Price breaks the highest candlestick opening and closing above it.
- Price breaks the VWAP indicator value.
2. Integrate the VWAP indicator and the 200 EMA with the main indicator.
3. Display buy and sell signals based on specific conditions related to the VWAP breakout.
4. Increase target lines to five.
5. Most importantly, I added custom windows in the settings to apply the indicator to other markets based on adding the opening and closing times for any market with a daily opening and closing time.
Important note: The second buy signal, which comes after a sell signal appears, is based on two conditions: a close above the high of the previous sell signal and a close above VWAP
Warning - Buy or sell signals are only warning signals and the user is responsible for evaluating and studying this signal.
**Fixed some errors in the previous script
تفاصيل هذا الإصدار:
1-أضفت تنبيه يحتوي على شرطين
-إختراق السعر الأعلى لشمعة الإفتتاح والإغلاق فوقها.
-إختراق السعر لقيمة مؤشر vwap.
2-دمج مؤشر vwap والمتوسط الأسي 200 مع المؤشرالرئيسي
3- إظهار إشارات الشراء والبيع بشروط معينة مرتبطة بإختراق vwap
4-زيادة خطوط الأهداف إلى خمس.
5- وهي الأهم أضفت نوافذ مخصصة في الاعدادت لتطبيق المؤشر على الأسواق الأخرى بناء على إضافة وقت الإفتتاح والإغلاق لأي سوق له وقت إفتتاح ووقت إغلاق يومي.
ملاحظة مهمة:إشارة الشراء الثانية والتي تأتي بعد ظهور إشارة بيع وضعت بناء على شرطين وهما الاغلاق فوق الاعلى لإشارة البيع السابقة والاغلاق فوق مؤشر VWAP
تحذير-إشارات الشراء أو البيع ليست إلا إشارات تحذيرية والمستخدم هو المسئول عن تقييم ودراسة هذه الإشارة
**اصلاح بعض الاخطاء في السكربت الماضي
Price Density Strategy ScoreBased on the rules we defined, a composite score (-3 to +3) is calculated and displayed as colored bars below the chart:
Dark green (+3): Strong buy signal
Light green (+1, +2): Mildly bullish
Gray (0): Neutral
Light red (-1, -2): Mildly bearish
Dark red (-3): Strong sell signal
根据我们定义的规则,计算一个综合分数(-3 到 +3),并在图表下方用不同颜色的柱状图显示出来:
深绿色 (+3):强力买入信号
浅绿色 (+1, +2):温和看涨
灰色 (0):中性
浅红色 (-1, -2):温和看跌
深红色 (-3):强力卖出信号
📈 Smart Alert System — EMA/MA/Volume/SMC AlertsHere's a detailed description of your custom TradingView **Pine Script v6**:
---
### 📌 **Title**: Smart Alert System — Webhook Ready (with EMA, MA, Volume, and SMC)
This script is designed to **monitor price behavior**, detect important **technical analysis events**, and **send real-time alerts via webhook to a Telegram bot**.
---
## 🔧 SETTINGS
| Setting | Description |
| ----------------------- | ------------------------------------------------------------------------------ |
| `volumeSpikeMultiplier` | Multiplier to determine a volume spike compared to the 20-bar average volume |
| `testAlert` | If `true`, sends a test alert when the indicator is first applied to the chart |
---
## 🔍 COMPONENT BREAKDOWN
### 1. **EMA & MA Calculations**
These indicators are calculated and plotted on the chart:
* **EMAs**: 13, 25, 30, 200 — used for trend and touch detection
* **MAs**: 100, 300 — used for break and retest detection
```pinescript
ema_13 = ta.ema(close, 13)
ema_200 = ta.ema(close, 200)
ma_100 = ta.sma(close, 100)
```
---
### 2. **📈 Volume Spike Detection**
* A volume spike is identified when the current bar's volume is **2x (default)** greater than the 20-period average.
* A red triangle is plotted above such candles.
* A **JSON alert** is triggered.
```pinescript
volSpike = volume > avgVol * volumeSpikeMultiplier
```
---
### 3. **📊 EMA Touch Alerts**
* The script checks if the current close is:
* Within 0.1% of an EMA value **OR**
* Has crossed above/below it.
* If so, it sends an alert with the EMA name.
```pinescript
touch(val, crossed) =>
math.abs(close - val) / val < 0.001 or crossed
```
---
### 4. **📉 MA Break and Retest Alerts**
* A **break** is when price falls **below** a moving average.
* A **retest** is when price climbs **above** the same average after breaking below.
```pinescript
breakBelow(ma) => close > ma and close < ma
```
---
### 5. 🧠 **SMC Alerts (Break of Structure \ & Change of Character \ )**
These follow **Smart Money Concepts (SMC)**. The script identifies:
* **BOS**: New higher high in uptrend or lower low in downtrend
* **CHOCH**: Opposite of trend, e.g. lower low in uptrend or higher high in downtrend
```pinescript
bos = (high > high ) and (low > low ) and (low > low )
choch = (low < low ) and (high < high ) and (high < high )
```
---
### 6. 🧪 Dummy Test Alert (1-time fire)
* Sends a `"✅ Test Alert Fired"` to verify setup
* Executes **once only** after adding the indicator
```pinescript
var bool sentTest = false
if testAlert and not sentTest
```
---
### 7. 🚀 Alert Delivery (Webhook JSON)
All alerts are sent as a JSON payload that looks like this:
```json
{
"pair": "BTCUSD",
"event": "🔺 Volume Spike",
"timeframe": "15",
"timestamp": "2024-06-29T12:00:00Z",
"volume": "654000"
}
```
This format makes it compatible with your **Telegram webhook server**.
---
### 🔔 Alerts You Can Create in TradingView
* Set **Webhook URL** to your `https://xxxx.ngrok-free.app/tradingview-webhook`
* Use alert condition: `"Any alert()`" — because all logic is internal.
* Select **"Webhook URL"** and leave the message body blank.
---
### 🛠️ Use Cases
* Notify yourself on **EMA interaction**
* Detect **trend shifts or retests**
* Spot **volume-based market interest**
* Get real-time **BOS/CHOCH alerts** for Smart Money strategies
* Alert through **Telegram using your Node.js webhook server**
---
Would you like me to break down the full Pine Script block-by-block as well?
MACD Triple divergence signalsThis script is a basic combination of several scripts that I found very useful. It's a MACD divergence on steroids. Instead of using only one plot as a source for detecting divergence, I use all of the plots.
The idea is that if more divergence signals appear—especially after a prolonged downtrend or uptrend—they can be interpreted as a strong divergence signal.
The third divergence signal is taken from the MACD signal line. It has a longer-term lookback range, which could provide a more reliable divergence signal.
The default minimum lookback range is 15, much greater than the usual value of 5. This makes it more suitable for long-term trading or for lower timeframes (lower than 4H) to reduce noise from excessive signals. For timeframes higher than 4H, the setting can be reduced to around 10 or even 5.
For the 1W (weekly) timeframe, try using a value of 3.
I also added a band to give a clear visual of overbought and oversold areas. It works similarly to Bollinger Bands (BB). You can spot when the price is ranging or when a stop-loss hunt occurs (i.e., the price breaks the band).
Please do your homework—backtest it yourself to find which timeframe suits you best. You can also tweak the settings if you find the default values too aggressive or too mild.
I’ve found that MACD is more reliable on timeframes greater than 1H. Personally, I use it on the 4H and 1D timeframes.
in bahasa:
MACD dengan 3 sinyal divergence, kalau muncul lebih banyak, bisa jadi sinyal lebih menyakinkan.
Minimum lookback range default-nya 15 agar tidak muncul terlalu banyak sinyal. 15 lebih panjang, lebih ok. Kalau main di higher timeframe seperti 1D, bisa 5-10, kalau weeky timeframe = 3.
Untuk band, cek ketika plot-nya keluar dari band, itu bisa jadi jackpot, apalagi kalau plot-nya membentuk double bottom.
Backtest sendiri, siapa tahu kalian bisa dapet setting sendiri.
MACD with upper and lower band will give you a clear visual of price movements
More divergence signals are generated and when the price breaks out of the oversold band = jackpot.
Amavasya High Lows"This script plots Higher Highs and Lower Lows following each Amavasya trading date."
Zero Lag Trend Signals (MTF) [AlgoAlpha]// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © AlgoAlpha
//@version=5
indicator("Zero Lag Trend Signals (MTF) ", shorttitle="AlgoAlpha - 0️⃣Zero Lag Signals", overlay=true)
length = input.int(70, "Length", tooltip = "The Look-Back window for the Zero-Lag EMA calculations", group = "Main Calculations")
mult = input.float(1.2, "Band Multiplier", tooltip = "This value controls the thickness of the bands, a larger value makes the indicato less noisy", group = "Main Calculations")
t1 = input.timeframe("5", "Time frame 1", group = "Extra Timeframes")
t2 = input.timeframe("15", "Time frame 2", group = "Extra Timeframes")
t3 = input.timeframe("60", "Time frame 3", group = "Extra Timeframes")
t4 = input.timeframe("240", "Time frame 4", group = "Extra Timeframes")
t5 = input.timeframe("1D", "Time frame 5", group = "Extra Timeframes")
green = input.color(#00ffbb, "Bullish Color", group = "Appearance")
red = input.color(#ff1100, "Bearish Color", group = "Appearance")
src = close
lag = math.floor((length - 1) / 2)
zlema = ta.ema(src + (src - src ), length)
volatility = ta.highest(ta.atr(length), length*3) * mult
var trend = 0
if ta.crossover(close, zlema+volatility)
trend := 1
if ta.crossunder(close, zlema-volatility)
trend := -1
zlemaColor = trend == 1 ? color.new(green, 70) : color.new(red, 70)
m = plot(zlema, title="Zero Lag Basis", linewidth=2, color=zlemaColor)
upper = plot(trend == -1 ? zlema+volatility : na, style = plot.style_linebr, color = color.new(red, 90), title = "Upper Deviation Band")
lower = plot(trend == 1 ? zlema-volatility : na, style = plot.style_linebr, color = color.new(green, 90), title = "Lower Deviation Band")
fill(m, upper, (open + close) / 2, zlema+volatility, color.new(red, 90), color.new(red, 70))
fill(m, lower, (open + close) / 2, zlema-volatility, color.new(green, 90), color.new(green, 70))
plotshape(ta.crossunder(trend, 0) ? zlema+volatility : na, "Bearish Trend", shape.labeldown, location.absolute, red, text = "▼", textcolor = chart.fg_color, size = size.small)
plotshape(ta.crossover(trend, 0) ? zlema-volatility : na, "Bullish Trend", shape.labelup, location.absolute, green, text = "▲", textcolor = chart.fg_color, size = size.small)
plotchar(ta.crossover(close, zlema) and trend == 1 and trend == 1 ? zlema-volatility*1.5 : na, "Bullish Entry", "▲", location.absolute, green, size = size.tiny)
plotchar(ta.crossunder(close, zlema) and trend == -1 and trend == -1 ? zlema+volatility*1.5 : na, "Bearish Entry", "▼", location.absolute, red, size = size.tiny)
s1 = request.security(syminfo.tickerid, t1, trend)
s2 = request.security(syminfo.tickerid, t2, trend)
s3 = request.security(syminfo.tickerid, t3, trend)
s4 = request.security(syminfo.tickerid, t4, trend)
s5 = request.security(syminfo.tickerid, t5, trend)
s1a = s1 == 1 ? "Bullish" : "Bearish"
s2a = s2 == 1 ? "Bullish" : "Bearish"
s3a = s3 == 1 ? "Bullish" : "Bearish"
s4a = s4 == 1 ? "Bullish" : "Bearish"
s5a = s5 == 1 ? "Bullish" : "Bearish"
if barstate.islast
var data_table = table.new(position=position.top_right, columns=2, rows=6, bgcolor=chart.bg_color, border_width=1, border_color=chart.fg_color, frame_color=chart.fg_color, frame_width=1)
table.cell(data_table, text_halign=text.align_center, column=0, row=0, text="Time Frame", text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=0, text="Signal", text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=0, row=1, text=t1, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=1, text=s1a, text_color=chart.fg_color, bgcolor=s1a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=2, text=t2, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=2, text=s2a, text_color=chart.fg_color, bgcolor=s2a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=3, text=t3, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=3, text=s3a, text_color=chart.fg_color, bgcolor=s3a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=4, text=t4, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=4, text=s4a, text_color=chart.fg_color, bgcolor=s4a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=5, text=t5, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=5, text=s5a, text_color=chart.fg_color, bgcolor=s5a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
/////////////////////////////////////////ALERTS FOR SMALL ARROWS (ENTRY SIGNALS)
alertcondition(ta.crossover(close, zlema) and trend == 1 and trend == 1, "Bullish Entry Signal",
message="Bullish Entry Signal detected. Consider entering a long position.")
alertcondition(ta.crossunder(close, zlema) and trend == -1 and trend == -1, "Bearish Entry Signal",
message="Bearish Entry Signal detected. Consider entering a short position.")
/////////////////////////////////////////ALERTS FOR TREND CONDITIONS
alertcondition(ta.crossover(trend, 0), "Bullish Trend")
alertcondition(ta.crossunder(trend, 0), "Bearish Trend")
alertcondition(ta.cross(trend, 0), "(Bullish or Bearish) Trend")
alertcondition(ta.crossover(s1, 0), "Bullish Trend Time Frame 1")
alertcondition(ta.crossunder(s1, 0), "Bearish Trend Time Frame 1")
alertcondition(ta.cross(s1, 0), "(Bullish or Bearish) Trend Time Frame 1")
alertcondition(ta.crossover(s2, 0), "Bullish Trend Time Frame 2")
alertcondition(ta.crossunder(s2, 0), "Bearish Trend Time Frame 2")
alertcondition(ta.cross(s2, 0), "(Bullish or Bearish) Trend Time Frame 2")
alertcondition(ta.crossover(s3, 0), "Bullish Trend Time Frame 3")
alertcondition(ta.crossunder(s3, 0), "Bearish Trend Time Frame 3")
alertcondition(ta.cross(s3, 0), "(Bullish or Bearish) Trend Time Frame 3")
alertcondition(ta.crossover(s4, 0), "Bullish Trend Time Frame 4")
alertcondition(ta.crossunder(s4, 0), "Bearish Trend Time Frame 4")
alertcondition(ta.cross(s4, 0), "(Bullish or Bearish) Trend Time Frame 4")
alertcondition(ta.crossover(s5, 0), "Bullish Trend Time Frame 5")
alertcondition(ta.crossunder(s5, 0), "Bearish Trend Time Frame 5")
alertcondition(ta.cross(s5, 0), "(Bullish or Bearish) Trend Time Frame 5")
alertcondition(ta.crossover(close, zlema) and trend == 1 and trend == 1, "Bullish Entry")
alertcondition(ta.crossunder(close, zlema) and trend == -1 and trend == -1, "Bearish Entry")
bullishAgreement = s1 == 1 and s2 == 1 and s3 == 1 and s4 == 1 and s5 == 1
bearishAgreement = s1 == -1 and s2 == -1 and s3 == -1 and s4 == -1 and s5 == -1
alertcondition(bullishAgreement, "Full Bullish Agreement", message="All timeframes agree on bullish trend.")
alertcondition(bearishAgreement, "Full Bearish Agreement", message="All timeframes agree on bearish trend.")