Aggregate PDH High Break Alert**Aggregate PDH High Break Alert**
**Overview**
The “Aggregate PDH High Break Alert” is a lightweight Pine Script v6 indicator designed to instantly notify you when today’s price breaks above any prior-day high in a user-defined lookback window. Instead of manually scanning dozens of daily highs, this script automatically loops through the last _N_ days (up to 100) and fires a single-bar alert the moment price eclipses a specific day’s high.
**Key Features**
- **Dynamic Lookback**: Choose any lookback period from 1 to 100 days via a single `High-Break Lookback` input.
- **Single Security Call**: Efficiently retrieves the entire daily-high series in one call to avoid TradingView’s 40-call security limit.
- **Automatic Looping**: Internally loops through each prior-day high, so there’s no need to manually code dozens of lines.
- **Custom Alerts**: Generates a clear, formatted alert message—e.g. “Crossed high from 7 day(s) ago”—for each breakout.
- **Lightweight & Maintainable**: Compact codebase (<15 lines) makes tweaking and debugging a breeze.
**Inputs**
- **High-Break Lookback (days)**: Number of past days to monitor for high breaks. Valid range: 1–100.
**How to Use**
1. **Add to Chart**: Open TradingView, click “Indicators,” then “Create,” and paste in the code.
2. **Configure Lookback**: In the script’s settings, set your desired lookback window (e.g., 20 for the past 20 days).
3. **Enable Alerts**: Right-click the indicator’s name on your chart, select “Add Alert on Aggregate PDH High Break Alert,” and choose “Once per bar close.”
4. **Receive Notifications**: Whenever price crosses above any of the specified prior-day highs, you’ll get an on-screen and/or mobile push alert with the exact number of days ago.
**Use Cases**
- **Trend Confirmation**: Confirm fresh bullish momentum when today’s high outpaces any of the last _N_ days.
- **Breakout Trading**: Automate entries off multi-day highs without manual chart scanning.
- **System Integration**: Integrate with alerts to trigger orders in third-party bots or webhook receivers.
**Disclaimer**
Breakouts alone do not guarantee sustained moves. Combine with your preferred risk management, volume filters, and other indicators for higher-probability setups. Use on markets and timeframes where daily breakout behavior aligns with your strategy.
Cari dalam skrip untuk "bot"
Alpha Trigger CoreAlpha Trigger Core — Trend Momentum Strategy with Dual Take Profit System
Alpha Trigger Core is a precision-engineered trend-following strategy developed for crypto and altcoin markets. Unlike simple indicator mashups, this system was built from the ground up with a specific logic framework that integrates trend, momentum, volatility, and structure validation into a single unified strategy.
It is not a random combination of indicators, but rather a coordinated system of filters that work together to increase signal quality and minimize false positives. This makes it especially effective on trending assets like BTC, ETH, AVAX, and SOL on the 1-hour chart.
🔍 How It Works
This strategy fuses multiple advanced filters into a cohesive signal engine:
🔹 Trend Identification
A hybrid model combining:
Kalman Filter — Smooths price noise with predictive tracking.
SuperTrend Overlay — Confirms directional bias using ATR.
ZLEMA Envelope — Defines dynamic upper/lower bounds based on price velocity.
🔹 Momentum Filter
Uses a ZLEMA-smoothed CCI to identify accelerating moves.
Long entries require a rising 3-bar CCI sequence.
Short entries require a falling 3-bar CCI sequence.
🔹 Volatility Strength Filter (Vortex Indicator)
Validates entries only when Vortex Diff exceeds a customizable threshold.
Prevents low-volatility "chop zone" trades.
🔹 Wick Trap Filter
Filters out false breakouts driven by liquidity wicks.
Validates that body structure supports the breakout.
📈 Entry & Exit Logic
Long Entry: All trend, momentum, volatility filters must align bullishly and wick traps must be absent.
Short Entry: All filters must align bearishly, with no wick rejection.
Early Exit: Uses ZLEMA slope crossover to exit before a full trend reversal is confirmed.
🎯 Take Profit System
TP1: Takes 50% profit at a user-defined % target.
TP2: Closes remaining 100% at second target.
Cooldown: Prevents immediate reentry and ensures clean position transitions.
📊 Real-Time Strategy Dashboard
Tracks and displays:
Position status (Long, Short, Flat)
Entry Price
TP1/TP2 Hit status
Win Rate (%)
Profit Factor
Bars Since Entry
Fully customizable position & font size
🤖 Bot-Ready Multi-Exchange Alerts
Compatible with WonderTrading, 3Commas, Binance, Bybit, and more.
Customizable comment= tags for entry, exit, TP1, and TP2.
Fully alert-compatible for webhook integrations.
📌 Suggested Use
Best used on trending crypto pairs with moderate-to-high volatility. Recommended on the 1H timeframe for altcoins and majors. Can be used for manual confirmation or automated trading.
🔒 Script Transparency
This is a closed-source script. However, the description above provides a transparent breakdown of the strategy’s core logic, filters, and execution model — ensuring compliance with TradingView’s publishing guidelines.
⚠️ Trading Disclaimer
This script is for educational purposes only and is not financial advice. Always conduct your own analysis before making investment decisions. Past performance does not guarantee future results. Use this strategy at your own risk.
Michael's EMA (Selectable TF) by Koenigsegg📌 Michael’s EMA (Selectable TF) by Koenigsegg
A multi-timeframe EMA crossover trend tool for clear market direction.
🔍 CORE LOGIC & PURPOSE
This indicator visualizes the trend based on two Exponential Moving Averages (EMAs) — fast and slow — from a user-defined timeframe.
Referencing a higher timeframe strengthens the trend signal and reduces the noise from short-term volatility.
Perfect for traders seeking cleaner entries and exits , especially those who get faked out by lower timeframe chop.
✅ KEY FEATURES
1. Multi-Timeframe EMA Calculation
- Fetches EMAs from any timeframe using `request.security()`.
- Selecting a higher timeframe makes signals more meaningful and decisive .
2. Customizable EMAs
- Small EMA (default: 12) and Big EMA (default: 21).
- Clear logic:
- Uptrend = Small EMA ≥ Big EMA
- Downtrend = Small EMA < Big EMA
3. Dynamic Trend Coloring
- EMAs change color based on the trend:
- Uptrend: Green (customizable)
- Downtrend: Red (customizable)
4. Crossover Detection & Arrows
- Clean visual arrows on trend flips only.
- Optional visibility, customizable size & color.
- Built with a debounce mechanic to avoid spam signals.
5. Built-In Alerts
- Trend Up Alert when fast EMA crosses above slow EMA.
- Trend Down Alert when fast EMA crosses below slow EMA.
- Compatible with automation, bots, and manual strategies.
⚠️ PRO TIP
Using a higher timeframe (e.g., 1H on a 15m chart, or 15m on a 5m chart as visually represented on the chart) makes trend flips more decisive and reliable, helping you avoid being faked out by short-term volatility. When the higher TF flips red — that’s your true trend shift, not just noise.
🏷️ HASHTAGS
#EMA #MovingAverage #MultiTimeframe #TrendIndicator #TradingViewScript #TradingTools
#TechnicalAnalysis #PriceAction #ForexTrader #CryptoTrader #StockTrader
#AlgoTrading #TrendFlip #SmartMoney #SwingTrading #DayTrading #MarketStructure #TradingEdge #ProfMichaelG #Koenigsegg #Bitcoin
⚠️ DISCLAIMER
This script is provided for educational and informational purposes only .
It does not constitute financial advice , investment advice, or a recommendation to buy or sell any financial instruments.
Always do your own research and consult with a licensed financial advisor before making any trading decisions.
Use this tool at your own risk.
Signal Indicator + SAR + 30min Trend Background🔹 BTC/USD 3-Minute Trend Signal Indicator + SAR + 30-Minute Background Trend
📌 Overview
This indicator is designed for high-precision BTC/USD trading on the 3-minute timeframe. It integrates multiple trend confirmation tools to improve signal accuracy, reduce false entries, and help traders align with higher timeframe trends.
⚡ Key Features & Enhancements
✅ Multi-Timeframe Trend Confirmation:
Uses 3-minute EMA trend filter + 30-minute EMA confirmation.
Background color changes dynamically based on 30-minute trend.
✅ Smart Parabolic SAR Filter (Optional):
Reduces false signals with an adjustable confirmation delay.
Helps avoid premature exits in strong trends.
✅ Momentum & Trend Strength Analysis:
Uses MACD for directional confirmation.
RSI filtering to avoid overbought/oversold conditions.
ADX filter ensures trades are taken in strong trends.
✅ Breakout Confirmation & Heikin-Ashi Filtering:
Detects breakouts from key resistance & support levels.
Uses Heikin-Ashi candle trend confirmation for smoother signals.
✅ Bollinger Bands Trend Validation:
Filters trades based on price position relative to Bollinger Bands.
Avoids choppy market conditions.
✅ Session Time Filtering:
Limits trades to high-liquidity trading hours (9 AM - 8 PM UTC).
✅ BUY/SELL Alerts & Labels:
Displays BUY/SELL labels on the chart when conditions are met.
TradingView Alerts for automated bot integration.
🛠️ How It Works
1️⃣ Trend Confirmation
Short-term (3-min) trend: Calculated using EMA(20).
Higher timeframe (30-min) trend: Acts as a filter (optional background color).
Valid BUY/SELL signals must align with the higher timeframe trend.
2️⃣ Entry Signals (BUY & SELL Conditions)
🚀 BUY Signal
Price breaks above resistance (last 20 candles).
MACD bullish crossover.
EMA Trend + Higher TF EMA confirms uptrend.
Bollinger Bands validation (trading above mid-band).
SAR confirms uptrend (optional).
Heikin-Ashi trend aligns bullish.
ADX > 20 (ensures strong trend).
Time filter active (9 AM - 8 PM UTC).
🔻 SELL Signal
Price breaks below support (last 20 candles).
MACD bearish crossover.
EMA Trend + Higher TF EMA confirms downtrend.
Bollinger Bands validation (trading below mid-band).
SAR confirms downtrend (optional).
Heikin-Ashi trend aligns bearish.
ADX > 20 (ensures strong trend).
Time filter active (9 AM - 8 PM UTC).
3️⃣ Alerts & Labels
BUY alert triggers 🚀 when all conditions align.
SELL alert triggers 🔻 when all conditions align.
Labels appear on the chart to indicate signals.
⚙️ Customization & Settings
🔧 User-Configurable Options:
Parabolic SAR filter (optional).
SAR confirmation delay (prevents false exits).
Background trend color from 30-min timeframe.
Adjustable background opacity for better visibility.
Trading session filter (to avoid low-volume periods).
📊 Best Use Cases
✅ Scalping BTC/USD on a 3-minute chart.
✅ Trend-following strategy with multiple confirmations.
✅ Reducing false signals with multi-indicator validation.
✅ Automated trading (TradingView alerts integration).
⚠️ Disclaimer
📌 This indicator is for educational purposes only and should not be considered financial advice.
📌 Always backtest and validate the strategy before using it for live trading.
📌 Past performance does not guarantee future results.
💬 How to Use?
1️⃣ Add the indicator to your 3-minute BTC/USD chart.
2️⃣ Enable/disable filters based on your trading style.
3️⃣ Set alerts for automated notifications.
4️⃣ Follow trend confirmations before entering trades.
Advanced HFT Detection with VWAP & SpreadsExplanation of the HFT Detection Strategy
🔹 1. Key Indicators Used in the Strategy
It's works by combining VWAP, moving averages (SMA), volume spikes, and price jumps to detect potential HFT activity.
✅ (A) VWAP (Volume Weighted Average Price)
VWAP acts as a benchmark price that professional traders and institutions use to execute large orders.
If price is above VWAP, buyers are in control → Bullish trend
If price is below VWAP, sellers are in control → Bearish trend
HFT algorithms often place buy orders above VWAP and sell orders below VWAP to follow momentum.
➡️ Why VWAP? It ensures that signals follow the institutional trading trend.
✅ (B) Moving Averages (SMA)
Moving averages smooth out price data and help in detecting short-term momentum changes.
Fast Moving Average (5-period SMA): Reacts quickly to price changes
Slow Moving Average (20-period SMA): Identifies trend direction
➡️ Why SMA? It filters noise and confirms short-term trend shifts.
✅ (C) Volume Spike Detection
High-frequency trading is often accompanied by large volume surges. We define a volume spike as:
📌 Current Volume > 2× Average Volume of last 20 bars
➡️ Why Volume? HFTs execute rapid buy/sell orders when they detect liquidity, leading to sudden volume bursts.
✅ (D) Price Jump Detection (Sudden Volatility)
HFT algorithms often exploit quick price movements. We check if the price has moved more than twice the ATR (Average True Range) in the last 5 bars.
➡️ Why ATR? It helps to detect abnormal price movements compared to normal volatility.
🔹 2. Trading Signal Logic
Now that we have VWAP, moving averages, volume, and price movement filters, we generate buy and sell signals based on conditions.
✅ (A) Buy Signal Condition
A BUY signal is triggered when:
✔ Fast SMA crosses above Slow SMA → Short-term trend is turning bullish
✔ Volume spike occurs → HFTs are active
✔ Sudden price jump detected → High volatility
✔ Price is above VWAP → Confirms bullish trend
➡️ Why this works? It confirms that institutional traders & HFTs are buying aggressively.
✅ (B) Sell Signal Condition
A SELL signal is triggered when:
✔ Fast SMA crosses below Slow SMA → Short-term trend is turning bearish
✔ Volume spike occurs → HFTs are selling aggressively
✔ Sudden price drop detected → High volatility
✔ Price is below VWAP → Confirms bearish trend
➡️ Why this works? It confirms that institutional traders & HFTs are selling aggressively.
🔹 3. Visual Representation (Plotting Signals & VWAP)
Once we detect buy and sell signals, we mark them on the chart.
✅ (A) Buy/Sell Markers
🟢 Buy → Green upward arrow below the candle
🔴 Sell → Red downward arrow above the candle
✅ (B) VWAP Line on Chart
We also plot VWAP as a blue line to visualize trend direction.
✅ (C) Highlighting Volume Spikes
To easily spot HFT activity, we highlight volume spike bars with a blue background.
🔹 4. How to Use This Strategy?
1️⃣ Apply this script on a 1-minute or 5-minute intraday chart.
2️⃣ Look for BUY signals above VWAP and SELL signals below VWAP.
3️⃣ Verify that the volume spikes before taking action.
4️⃣ Use stop-loss & risk management (e.g., stop-loss at recent low/high).
🚀 Summary: Why This Strategy Works?
✅ VWAP ensures we follow institutional traders
✅ Volume spikes confirm sudden liquidity inflows
✅ Price jumps detect fast market moves caused by HFT bots
✅ Moving averages smooth out short-term trend shifts
BB Session RangesBB Session Ranges Indicator
Overview
The Bender Bot Session Ranges indicator is a powerful tool for traders who want to visualize and analyze important market sessions throughout the trading day. This indicator identifies and tracks price ranges during specific time periods, helping you spot potential trading opportunities based on session breakouts, retests, and range comparisons.
Key Features
• Multiple Session Tracking: Monitor up to 6 different time-based ranges simultaneously (pre-configured for NY AM Open, NY PM Open, Lunch, Premarket, Midnight Open, and a custom session).
• Range Visualization: Clearly displays high and low boundaries for each session with customizable colors and line styles.
• Historical Comparison: Tracks and displays the average size of ranges over time, helping you identify when current ranges are larger or smaller than typical.
• Flexible Time Settings: Easily configure exact session times based on your trading schedule and preferred markets.
• Range Extension Options: Extend range boundaries by bars, days, or weeks to track the longer-term influence of session ranges.
• Sidecar Information Display: Optional labels show range details, including size, percentage of average, and dollar value.
How It Works
The indicator identifies specific time-based sessions (for example, the first 5 minutes of the NY market open) and tracks the high and low prices established during these periods. Once a session is complete, the range boundaries are plotted on your chart and can be extended for further analysis. The indicator calculates the current range size and compares it to historical averages, giving you context for the day’s market behavior.
Sidecar Functionality
The sidecar feature is a key aspect of this indicator that helps keep your charts clean and organized. Instead of cluttering your price action with labels and annotations directly on the ranges, the sidecar system:
• Creates a dedicated information panel offset from the price action.
• Connects to ranges with discreet connecting lines.
• Displays key statistics like range size, dollar value, and percentage of average.
• Can be positioned at custom distances from the main chart (measured in bars).
• Allows you to see important data without interfering with your price analysis.
• Can be completely disabled when you prefer minimal chart elements.
• Helps maintain visual clarity even when tracking multiple sessions simultaneously.
This design philosophy puts trader experience first by separating information display from price action analysis, giving you the best of both worlds: clean charts and detailed information.
Setup Guide
1. Choose Your Sessions: Enable or disable each of the six available ranges by setting the Max Ranges to Plot parameter (use 0 to disable a range).
2. Configure Session Times: Set exact times for each range using standard 24-hour format (for example, 0930-0935 for 9:30-9:35 AM).
3. Customize Display: Select colors, line widths, and information display options for each range.
4. Set Extension Parameters: Choose how far to extend range lines (by a number of bars, days, or weeks, or select Always for continuous extension).
5. Configure Sidecar Labels: Set the offset for the information displays (use 0 to disable sidecar labels entirely).
Trading Applications
• Identify potential support and resistance levels based on session highs and lows.
• Compare current session ranges to historical averages to gauge volatility.
• Look for breakouts from established session ranges.
• Use range extensions to anticipate potential price targets.
• Monitor multiple session ranges to identify pattern correlations.
Advanced Usage
The indicator includes fields that help you assess range size relative to past performance, including dollar value calculations. This can be particularly useful for position sizing and risk management when trading breakouts from these ranges.
Future Development
We’re actively working on expanding this indicator to include robust strategy and alert functionality. This will allow traders to:
• Backtest trading strategies based on session range breakouts and retests.
• Customize entry, exit, and risk management parameters.
• Receive real-time alerts when price interacts with significant range levels.
• Set conditional alerts based on range size compared to historical averages.
• Automate trading decisions based on your specific session-based criteria.
If these strategy and alert features would be valuable for your trading, please let us know in the comments. Your feedback directly influences our development priorities and helps us create tools that best serve the trading community.
Notes
• All times are based on the America/New_York timezone.
• The indicator dynamically adjusts to different timeframes, providing consistent results whether you’re viewing 1-minute or daily charts.
• Range calculations are based on the highs and lows established during the defined sessions.
UT Bot Alerts – Time Filtered with ExitsThis indicator combines several technical approaches to generate precise entry and exit signals, while incorporating time filters that ensure signals are sent only during desired time windows and with defined cooldown periods. It is based on the original idea by QuantNomad.
Main Components:
ATR-based Trailing Stop:
Using the Average True Range (ATR) and an adjustable multiplier ("Key Value"), a dynamic trailing stop is calculated that adapts to the current price. This trailing stop forms the basis for the signal generation.
EMA-based Entry Signals:
A very short exponential moving average (EMA, period 1) is used in combination with the trailing stop to identify clear buy (long) and sell (short) signals via crossovers. An additional buffer zone helps reduce false signals.
Persistent Trade State:
The current state (long, short, or neutral) is maintained so that the system remains in the trend until a new signal is generated.
Linear Regression as Reference:
A linear regression line computed over a defined period serves as a reference for determining exit levels.
Exit Signals with Delay:
Exit signals are generated when the price deviates from the linear regression line by a defined percentage (Exit Signal Deviation) and the condition persists for at least a specified number of bars (Exit Signal Delay). Only one exit signal is issued per trade to avoid excessive exits.
Time Filters and Cooldown:
Session Filter: A user-defined session (e.g., "2200-0500") can disable signals during specified periods.
Cooldown Period: After a signal is triggered, a cooldown phase (in minutes) can be set during which no new signals are sent.
Visual Display and Alerts:
Entry Signals: Buy and sell signals are displayed as labels (green for long, red for short).
Exit Signals: Exit signals appear as triangles, with the exit long signal text displayed in white.
Reference Lines:
The upper exit level (Exit Short Level) is drawn as a solid line in turquoise (color.aqua).
The lower exit level (Exit Long Level) is drawn as a solid line in yellow.
Additionally, the ATR trailing stop and the linear regression line are clearly plotted on the chart.
Alerts can be configured for all signal types.
In Summary:
The indicator delivers precise entry signals based on an ATR trailing stop and a short EMA, supplemented by dynamic exit levels determined via linear regression. With integrated time filters (session and cooldown) and a flexible exit mechanism, this indicator offers controlled trade management—ideal for traders who wish to receive signals only during desired time periods.
Original Author: QuantNomad
IronBot v4IronBot v4 – Trading Strategy Overview
1. Quick Context
IronBot v4 is a trading strategy designed for users who want a simple yet effective approach to reading the markets. It uses a combination of Fibonacci retracement levels, custom logic triggers, and innovative modules (EMA validation, Iron Impulse Shield and Iron Auto Volume Detector) to identify potential entry and exit points, strengthening the strategy’s detection of sudden market volatility or shifts in trading volume.
2. Theoretical Details
Fibonacci Analysis
The script identifies recent market highs and lows, then calculates key Fibonacci levels (high- and low-based). These levels can help confirm potential reversals or trends.
EMA Option
When enabled, the exponential moving average (EMA) offers additional validation for trade entries. If the current price remains above a certain EMA threshold, long positions may be favored; conversely, if it stays below the EMA, short positions may be initiated.
IIS (Iron Impulse Shield)
IIS helps to filter out risky trades by measuring recent price shocks or surges. If an extreme movement is detected, the strategy may temporarily disable longs or shorts to avoid false signals.
IAVD (Iron Auto Volume Detector)
This functionality automatically detects the average market volume over a defined period (regardless of the market, since it relies on real data). When entering a position, it ensures that overall volume is high enough to confirm a genuinely active, robust market. By providing an additional filter, it can strengthen the decision-making process whenever the market’s participation level is in question.
Panel
IronBot v4 displays a real-time backtest panel that summarizes the selected configuration (including the current pair, analysis window, enabled filters), as well as showing net profit, applicable exchange fees, country taxes, and the final net balance. This gives traders an immediate overview of strategy performance and risk metrics.
What Pinescript Adds Visually
The script plots:
Fibonacci levels (highlighting potential reversal zones)
Trend lines indicating bullish (green) or bearish (red) lean
Optional EMA line
Optional Fibonacci forecast lines for anticipating future moves
Automatic labeling of entry, take-profit, and stop-loss levels, indicating the profit percentage of each trade.
3. Explanation of Inputs
The strategy exposes multiple inputs that can be toggled or configured by the user:
Analysis Window : Dictates how many bars to consider for high/low calculations and the fib retracement thresholds.
TRADES
Display TP/SL: For displaying Take profits and Stop loss.
Display Forecast: When enabled, this feature calculates and projects possible future Fibonacci retracements using historical data, helping traders anticipate potential upcoming trade setups.
Leverage: Only used for the Panel and not for trades. Lets you amplify your position size; higher leverage increases potential gains but also heightens risk. TradingView strategy is using properties for doing this.
Exchange Maker Fees & Exchange Taker Fees: Only used for the Panel and not for trades. Define the percentage cost applied by your exchange for maker and taker trades, respectively. These fees are accounted for in final profit calculations of the Panel.
Country Tax: Only used for the Panel and not for trades. Specifies a tax percentage to be deducted from net profits.
STOP LOSS and TAKE PROFITS
Stop-Loss & Take-Profit Parameters: Controls the percentage distances at which the strategy will exit positions. Additionally, you can configure up to four distinct take-profit levels (TP1 through TP4). Each level should be higher target than the previous one, and you can assign a specific percentage of the total position to close at each TP, ensuring the sum equals 100%. A break-even feature is also available when multiple TPs are used.
EMA
EMA (Exponential Moving Average) Option: When enabled, the strategy opens long trades only if the current price is above the specified EMA length, and opens short trades only if it is below that threshold.
PANELS
Show Panel: For displaying the backtest integrated panel.
IRON IMPULSE SHIELD (IIS)
IIS (Iron Impulse Shield) Option: When enabled, IIS continuously monitors recent price volatility depending on the analysis window set. If the market experiences an extreme surge or drop beyond a specified threshold, IIS temporarily blocks new long or short positions.
IRON AUTO VOLUME DETECTOR (IAVD)
IAVD (Iron Auto Volume Detector) Option: When enabled, it continuously measures the average market volume over a special period, irrespective of the specific trading pair. This ensures that IronBot v4 focuses on markets with robust participation, reducing the likelihood of entering trades during low-liquidity conditions.
By changing these values, IronBot v4 reacts differently to market structure and risk management requirements. Stop-loss and take-profit levels will adjust accordingly, while advanced filters (like EMA or IIS) influence when trades can open.
4. TradingView Strategy Properties
IronBot v4 uses the built-in TradingView “strategy” functionality. In particular:
Order Placement: The code calls strategy.entry() and strategy.close() for direct orders, ensuring signals are sent immediately (no limit orders are used). This helps connect with exchange signal bots for automated execution.
Initial Capital: The code uses initial capital defined in properties for calculating Net balance in the integrated panel.
On bar close: This strategy fill orders on bar close.
Pyramiding: This strategy can take only 1 successive trade in the same direction
Be careful to configure your leverage input depending on your strategy properties.
5. Visualization
5. Purpose & Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always confirm your own risk tolerance and consult a financial professional before placing live trades. Trading leveraged products can involve substantial risk of loss.
ICT Unicorn Breaker + FVG Alert📌 How to Use the ICT Breaker Block Indicator
The ICT Breaker Block Indicator helps you spot potential trade opportunities by setting up alerts. Here’s how to get started:
1️⃣ Draw Your Breaker Block
First, find a Bullish or Bearish Breaker Block on your chart.
Bullish Breaker Block: This forms when a bearish order block doesn't hold, and price breaks through to the upside. This indicates a shift from a bearish to a bullish market, with the previous bearish order block now acting as support.
Bearish Breaker Block: This forms when a bullish order block fails to hold, and price breaks through to the downside. This indicates a shift from a bullish to a bearish market, with the previous bullish order block now acting as resistance.
Use the drawing tool to mark the Breaker Block on your chart.
2️⃣ Set Your Entry & Stop Levels
Entry: For a bullish trade, enter at the top of the Breaker Block; for a bearish trade, enter at the bottom.
Stop Loss: Place this on the opposite side of the Breaker Block.
3️⃣ Choose Your Trade Direction
Bullish setup: Choose Buy for a bullish Breaker Block (upward break).
Bearish setup: Choose Sell for a bearish Breaker Block (downward break).
4️⃣ Create Two Alerts
You’ll need to set up the following two alerts in order:
✅ Unicorn Alert (Once Per Bar Close): Set this alert first for your selected Breaker Block (Bullish or Bearish). It triggers when price closes above the entry level (for a bullish setup) or below the entry level (for a bearish setup), and checks for bullish or bearish unmitigated Fair Value Gaps (FVGs) that overlap within the Breaker Block.
✅ Terminus Alert (Triggered Once): Once the Unicorn alert has been triggered, change the alert to a Terminus Alert. This alert is activated once the TP (terminus) is hit before the limit order fills from the Unicorn alert signal.
5️⃣ Automate with Webhook (Optional)
Want to automate your trades? Simply enter your Trader Post Webhook URL in the alert settings to send signals directly to your trading bot! 🤖
DCA (ASAP) V0 PTTScript Name: DCA (ASAP) V0 PTT
Detailed Description:
This script implements the Dollar-Cost Averaging (DCA) strategy, allowing you to automatically manage buy/sell orders safely and efficiently. Below are the key features of this script:
1. Purpose and Operation:
o Supports both Long and Short trading modes.
o Designed to optimize profitability using the DCA method, where Safety Orders are triggered when the price moves against the predicted direction.
o Helps users maintain their Target Profit in various market conditions.
2. Main Features:
o Automatic Order Placement: The initial Base Order is opened as soon as no active order exists.
o Safety Order Management: Safety Orders are automatically placed when the price moves against the initial order. The volume and distance of these orders are customizable.
o Order Closing: Orders are closed upon reaching the Target Profit, accounting for transaction fees.
o Detailed Information Display: Displays open orders, trading statistics, and performance metrics directly on the chart.
3. Customizable Parameters:
o Base Order Size: The size of the initial order.
o Target Profit (%): Target profit as a percentage of the total order volume.
o Safety Order Size: The size of each Safety Order.
o Price Deviation (%): The percentage distance between consecutive Safety Orders.
o Safety Order Volume Scale: The scaling factor for increasing the volume of subsequent Safety Orders.
o Max Safety Orders: The maximum number of Safety Orders allowed per deal.
4. Unique Features:
o Backtest Range Support: Enables you to limit backtesting to a specific time range of interest.
o Comprehensive Statistics: Displays detailed tables including open trades, pending orders, ROI, trading days, and realized profit.
o Integrated Trading Fees: Includes transaction fees in profit calculations for precise results.
5. Usage Instructions:
o Select the trading mode (Long or Short) from the "Strategy" input.
o Customize parameters such as Base Order, Safety Order, and Target Profit according to your requirements and the asset being traded.
o Monitor the performance of the strategy through the displayed information tables.
Notes:
• This script does not disclose detailed calculation logic but provides an overview of the concepts and usage.
• Designed for trading on exchanges that support margin or spot trading.
Abz Simple TrendThe goal of this indicator is to provide an "at-a-glance" trend-oriented moving averages indicator that helps with medium and long term trades and investments.
It should work on any chart timeframe but is intended for people interested in how the price is trending over longer timeframes.
Everything in the indicator is calculated against a weekly chart. This means if you're viewing it on another chart timeframe, such as the daily chart, the indicator will show the lines in the same places.
This indicator is intended to be easy enough for people without significant technical chart reading knowledge: Red means the market momentum is likely negative. Green is "bullish".
This is a lagging indicator. If you're new, this may seem like a bad thing, but markets eventually "revert to the mean". They tend to overshoot up and down from major trend lines, but eventually reconnect.
The indicator tracks 4 different moving averages:
- The Main moving average that is the thick, bright line on the chart
- The momentum line
- The 28w moving average (with smoother applied)
- The slow moving average (200w with special filters and smoother applied). This is the final mean reversion line.
The indicator is set up with multiple alerts and you can adjust everything via the settings.
Just remember that no indicator is a "cure all". You should not blindly trade based on the signals this gives out. It is not optimized to be the perfect trading bot but it will help to validate or invalidate your decisions. It's my favorite "at-a-glance" indicator, but I always look at the price action and see when the price reverses as that will occur before the indicator confirms it.
Other indicators that may help you confirm your decisions include: Volume, MACD, and RSI (especially when you understand divergences between the price action and the RSI).
TradeShields Strategy Builder🛡 WHAT IS TRADESHIELDS?
This no-code strategy builder is designed for traders on TradingView, offering an intuitive platform to create, backtest, and automate trading strategies. While identifying signals is often straightforward, the real challenge in trading lies in managing risk and knowing when not to trade. It equips users with advanced tools to address this challenge, promoting disciplined decision-making and structured trading practices.
This is not just a collection of indicators but a comprehensive toolkit that helps identify high-quality opportunities while placing risk management at the core of every strategy. By integrating customizable filters, robust controls, and automation capabilities, it empowers traders to align their strategies with their unique objectives and risk tolerance.
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🛡 THE GOAL: SHIELD YOUR STRATEGY
The mission is simple: to shield your strategy from bad trades . Whether you're a seasoned trader or just starting, the hardest part of trading isn’t finding signals—it’s avoiding trades that can harm your account. This framework prioritizes quality over quantity , helping filter out suboptimal setups and encouraging disciplined execution.
With tools to manage risk, avoid overtrading, and adapt to changing market conditions, it protects your strategy against impulsive decisions and market volatility.
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🛡 HOW TO USE IT
1. Apply Higher Timeframe Filters
Begin by analyzing broader market trends using tools like the 200 EMA, Ichimoku Cloud, or Supertrend on higher timeframes (e.g., daily or 4-hour charts).
- Example: Ensure the price is above the 200 EMA on the daily chart for long trades or below it for short trades.
2. Identify the Appropriate Entry Signal
Choose an entry signal that aligns with your model and the asset you're trading. Options include:
Supertrend changes for trend reversals.
Bollinger Band touches for mean-reversion trades.
RSI strength/weakness for overbought or oversold conditions.
Breakouts of key levels (e.g., daily or weekly highs/lows) for momentum trades.
MACD and TSI flips.
3. Determine Take-Profit and Stop-Loss Levels
Set clear exit strategies to protect your capital and lock in profits:
Use single, dual, or triple take-profit levels based on percentages or price levels.
Choose a stop-loss type, such as fixed percentage, ATR-based, or trailing stops.
Optionally, set breakeven adjustments after hitting your first take-profit target.
4. Apply Risk Management Filters
Incorporate risk controls to ensure disciplined execution:
Limit the number of trades per day, week, or month to avoid overtrading.
Use time-based filters to trade during specific sessions or custom windows.
Avoid trading around high-impact news events with region-specific filters.
5. Automate and Execute
Leverage the advanced automation features to streamline execution. Alerts are tailored specifically for each supported platform, ensuring seamless integration with tools like PineConnector, 3Commas, Zapier, and more.
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🛡 CORE FOCUS: RISK MANAGEMENT, AUTOMATION, AND DISCIPLINED TRADING
This builder emphasizes quality over quantity, encouraging traders to approach markets with structure and control. Its innovative tools for risk management and automation help optimize performance while reducing effort, fostering consistency and long-term success.
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🛡 KEY FEATURES
General Settings
Theme Customization : Light and dark themes for a tailored interface.
Timezone Adjustment : Align session times and news schedules with your local timezone.
Position Sizing : Define lot sizes to manage risk effectively.
Directional Control : Choose between long-only, short-only, or both directions for trading.
Time Filters
Day-of-Week Selection : Enable or disable trading on specific days.
Session-Based Trading : Restrict trades to major market sessions (Asia, London, New York) or custom windows.
Custom Time Windows : Precisely control the timeframes for trade execution.
Risk Management Tools
Trade Limits : Maximum trades per day, week, or month to avoid overtrading.
Automatic Trade Closures : End-of-session, end-of-day, or end-of-week options.
Duration-Based Filters : Close trades if take-profit isn’t reached within a set timeframe or if they remain unprofitable beyond a specific duration.
Stop-Loss and Take-Profit Options : Fixed percentage or ATR-based stop-losses, single/dual/triple take-profit levels, and breakeven stop adjustments.
Economic News Filters
Region-Specific Filters : Exclude trades around major news events in regions like the USA, UK, Europe, Asia, or Oceania.
News Avoidance Windows : Pause trades before and after high-impact events or automatically close trades ahead of scheduled news releases.
Higher Timeframe Filters
Multi-Timeframe Tools : Leverage EMAs, Supertrend, or Ichimoku Cloud on higher timeframes (Daily, 4-hour, etc.) for trend alignment.
Chart Timeframe Filters
Precision Filtering : Apply EMA or ADX-based conditions to refine trade setups on current chart timeframes.
Entry Signals
Customizable Options : Choose from signals like Supertrend, Bollinger Bands, RSI, MACD, Ichimoku Cloud, or EMA pullbacks.
Indicator Parameter Overrides : Fine-tune default settings for specific signals.
Exit Settings
Flexible Take-Profit Targets : Single, dual, or triple targets. Exit at significant levels like daily/weekly highs or lows.
Stop-Loss Variability : Fixed, ATR-based, or trailing stop-loss options.
Alerts and Automation
Third-Party Integrations : Seamlessly connect with platforms like PineConnector, 3Commas, Zapier, and Capitalise.ai.
Precision-Formatted Alerts : Alerts are tailored specifically for each platform, ensuring seamless execution. For example:
- PineConnector alerts include risk-per-trade parameters.
- 3Commas alerts contain bot-specific configurations.
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🛡 PUBLISHED CHART SETTINGS: 15m COMEX:GC1!
Time Filters : Trades are enabled from Tuesday to Friday, as Mondays often lack sufficient data coming off the weekend, and weekends are excluded due to market closures. Custom time sessions are turned off by default, allowing trades throughout the day.
Risk Filters : Risk is tightly controlled by limiting trades to a maximum of 2 per day and enabling a mechanism to close trades if they remain open too long and are unprofitable. Weekly trade closures ensure that no positions are carried over unnecessarily.
Economic News Filters : By default, trades are allowed during economic news periods, giving traders flexibility to decide how to handle volatility manually. It is recommended to enable these filters if you are creating strategies on lower timeframes.
Higher Timeframe Filters : The setup incorporates confluence from higher timeframe indicators. For example, the 200 EMA on the daily timeframe is used to establish trend direction, while the Ichimoku cloud on the 30-minute timeframe adds additional confirmation.
Entry Signals : The strategy triggers trades based on changes in the Supertrend indicator.
Exit Settings : Trades are configured to take partial profits at three levels (1%, 2%, and 3%) and use a fixed stop loss of 2%. Stops are moved to breakeven after reaching the first take profit level.
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🛡 WHY CHOOSE THIS STRATEGY BUILDER?
This tool transforms trading from reactive to proactive, focusing on risk management and automation as the foundation of every strategy. By helping users avoid unnecessary trades, implement robust controls, and automate execution, it fosters disciplined trading.
NexTrade
Overview of NexTrade: The Future of Crypto Trading
Introduction
NexTrade is a cutting-edge algorithmic trading platform designed to optimize cryptocurrency trading strategies. Developed by myself, a software engineer with a passion for quantitative development. Over the past year, I have focused on learning and applying quantitative techniques to the crypto space, ultimately crafting a platform that leverages advanced market analysis, automation, and robust risk management to help investors maximize returns while minimizing risk. NexTrade is engineered to help you capitalize on market movements in a fast-paced and highly competitive space, that is Cryptocurrency.
Key Features and Advantages
Sophisticated Market Analysis: NexTrade uses a comprehensive market analysis framework that examines historical trends, price movements, and market conditions across multiple cryptocurrency exchanges. The algorithm identifies trading opportunities by chart analysis on higher timeframes in order to follow trends, allowing it to execute trades at optimal moments.
Multi-Exchange Integration: NexTrade connects to multiple leading cryptocurrency exchanges, such as Binance, Kraken, and Coinbase Pro, to ensure access to diverse liquidity pools. This multi-exchange connectivity allows the platform to execute trades at the most favorable prices, optimizing profitability and minimizing slippage across various platforms. However, we suggest using the exchange with lowest fees possible.
Risk Management: NexTrade’s risk management features such as Stop Losses, ATR Trailing SL, and ADX chop indicator allows us to ensure we are effectively managing our risk.
Backtesting and Optimization: Before going live, NexTrade’s trading strategies undergo rigorous backtesting using historical market data. This enables users to see how strategies would have performed under various conditions, providing transparency and confidence in the platform’s potential for generating consistent returns. Ongoing optimization ensures that strategies evolve in response to market changes.
Real-Time Performance Monitoring: Users have access to detailed, real-time performance reports, tracking key metrics such as trades executed, profits, losses, and overall portfolio performance. This transparency allows investors to make informed decisions and monitor their investments closely at any time.
Market Opportunity
The cryptocurrency market continues to experience rapid growth, with trillions of dollars in trading volume annually. However, it is also notoriously volatile, creating both risk and reward opportunities for traders. To successfully navigate this market, investors need sophisticated tools that can automate the trading process and optimize decisions based on accurate market analysis.
NexTrade was developed to address this need. With its combination of data-driven market analysis, automated execution, and risk management, NexTrade is positioned to help investors gain an edge in a market that is often unpredictable and challenging. The platform offers a reliable, scalable solution to crypto trading, designed for both beginners and seasoned professionals.
Why Invest in NexTrade?
Scalable and Flexible: Whether you’re trading small amounts or large volumes, NexTrade can scale to accommodate your needs. The platform supports multiple exchanges, giving users the flexibility to diversify and grow their investments. Users can start with as low as $100!
Risk-Adjusted Returns: By focusing on risk management, NexTrade aims to deliver returns that are balanced with the level of risk the investor is willing to accept. The algorithm continuously adjusts trading strategies to align with market conditions, maximizing the potential for profits while minimizing the likelihood of significant losses.
24/7 Trading: The cryptocurrency market operates around the clock, and NexTrade is designed to take advantage of this. Its automated nature means that it can execute trades at any time, without the need for human intervention.
Conclusion
NexTrade offers a sophisticated yet accessible solution for investors looking to capitalize on the growth of the cryptocurrency market. With its focus on data-driven analysis, automated trade execution, and advanced risk management, NexTrade empowers investors to achieve optimal returns while managing risk effectively. Whether you are new to crypto or an experienced trader, NexTrade provides the tools needed to stay competitive and succeed in a fast-moving market.
By investing in NexTrade, you are gaining access to a proven algorithmic trading platform that has the potential to enhance your crypto trading strategy and deliver consistent results. The future of cryptocurrency trading is automated, risk-managed, and optimized—and NexTrade is leading the way.
If users wish the enable the chop detector on the bot, which uses ADX, they can turn it on in the settings after the strategu is added to the chart. By default, it is set to false.
Bitcoin SMA channels - quorraThis indicator is specifically designed to identify potential Bitcoin bottom zones based on historical data and market trends. By analyzing price cycles and key support levels, it helps traders and investors make informed decisions. This tool is tailored for optimal use on higher timeframes like the daily chart. (Don't forget to ensure your chart is set to logarithmic)
1. Simple Moving Average (SMA) Calculation and Gradient Coloring
The script begins by calculating the 350-period SMA (sma350), which serves as the foundation for identifying the market's overall trend. To make the SMA visually intuitive, a gradient color function is implemented. This function changes the SMA's color based on whether the current price (close) is above or below the SMA.
If the price is above the SMA, the line appears in gray.
If the price is below the SMA, the line takes on a darker red shade.
This gradient coloring helps traders quickly gauge market sentiment and momentum, as the SMA effectively acts as a dynamic trend line.
2. Fibonacci-Based Multipliers for SMA Levels
The indicator computes several levels based on Fibonacci multipliers of the 350-period SMA. These levels provide additional layers of insight into potential support and resistance zones. The multipliers range from small values like 0.144 (indicating closer proximity to the SMA) to larger values like 9 (representing distant extensions).
These Fibonacci levels are plotted using hidden lines, ensuring that the chart remains uncluttered while still allowing for strategic visualization through filled zones. For instance:
Levels like SMA x 0.144 to SMA x 0.355 are closer to the SMA and are categorized as potential buy zones.
Levels like SMA x 2 to SMA x 9 extend further and are considered sell zones.
3. Filling Areas to Visualize Zones
To enhance the visual representation, the script uses fill() functions to color the regions between specific Fibonacci levels:
Buy Zones: These areas are filled with a semi-transparent gray color (#5a5a5a) to indicate levels where prices are likely to bounce upward.
Sell Zones: Conversely, these areas are filled with a semi-transparent red color (#5f0000), signaling regions where prices may encounter resistance and reverse downward.
This layered approach helps traders identify actionable price ranges without overwhelming them with excessive visual elements.
4. Pivot Points and Their Visualization
The script includes a pivot point system for identifying local highs and lows. Depending on the selected source (High/Low or Close/Open), it calculates pivot highs and lows over a specified period (prd).
Pivot highs (ph) are marked above bars using downward-facing labels.
Pivot lows (pl) are marked below bars using upward-facing labels.
The pivot points are adjustable via user inputs, allowing traders to fine-tune the detection of significant price swings.
5. Support and Resistance Channel Analysis
A key feature of this indicator is its ability to identify and display support and resistance (S/R) levels. The script calculates the maximum allowable width of an S/R channel as a percentage of the price range over a 300-bar window. It then groups pivot points within these channels to derive high and low boundaries.
Resistance Levels: Represented by the upper bounds of channels and highlighted with a red color.
Support Levels: Represented by the lower bounds of channels and highlighted with a gray color.
These levels are dynamically adjusted based on user-defined parameters such as channel width, maximum S/R levels, and strength.
6. Advanced Input Customization
The indicator provides several user-configurable inputs to adapt it to different trading strategies:
Pivot Period (prd): Determines the sensitivity of pivot point calculations.
Channel Width: Controls the percentage width of S/R zones.
Maximum S/R Levels: Sets the maximum number of S/R zones displayed.
Line Style and Color Settings: Allows customization of the visual appearance of lines and labels.
7. Strength Filtering for S/R Levels
To ensure the reliability of identified S/R levels, the script incorporates a filtering mechanism based on strength. Strength is determined by the number of pivot points that fall within a channel. Levels with insufficient strength are excluded, ensuring that only significant S/R zones are displayed.
8. Practical Applications
This indicator can be applied in various trading strategies:
Trend Identification: The SMA and its gradient coloring provide a clear indication of the market's prevailing trend.
Support/Resistance Trading: The Fibonacci levels and S/R zones help traders identify potential entry and exit points.
Risk Management: By visualizing key levels, the indicator assists traders in setting stop-loss and take-profit levels effectively.
This script combines multiple technical analysis techniques into a single, visually intuitive tool. It is particularly useful for Bitcoin traders seeking to enhance their decision-making process by leveraging both trend and level-based analysis.
Although this indicator is specifically designed for Bitcoin, it can also be applied to stocks or altcoins. It works best on longer timeframes, such as the daily chart. When the price reaches specific support levels, it may be wise to activate a DCA bot or confirm the bottom using other indicators. This approach helps enhance decision-making and ensures a more strategic entry or exit from positions.
TFMTFM Strategy Explanation
Overview
The TFM (Timeframe Multiplier) strategy is a PineScript trading bot that utilizes multiple timeframes to identify entry and exit points.
Inputs
1. tfm (Timeframe Multiplier): Multiplies the chart's timeframe to create a higher timeframe for analysis.
2. lns (Long and Short): Enables or disables short positions.
Logic
Calculations
1. chartTf: Gets the chart's timeframe in seconds.
2. tfTimes: Calculates the higher timeframe by multiplying chartTf with tfm.
3. MintickerClose and MaxtickerClose: Retrieve the minimum and maximum closing prices from the higher timeframe using request.security.
- MintickerClose: Finds the lowest low when the higher timeframe's close is below its open.
- MaxtickerClose: Finds the highest high when the higher timeframe's close is above its open.
Entries and Exits
1. Long Entry: When the current close price crosses above MaxtickerClose.
2. Short Entry (if lns is true): When the current close price crosses below MintickerClose.
3. Exit Long: When the short condition is met (if lns is false) or when the trade is manually closed.
Strategy
1. Attach the script to a chart.
2. Adjust tfm and lns inputs.
3. Monitor entries and exits.
Example Use Cases
1. Intraday trading with tfm = 2-5.
2. Swing trading with tfm = 10-30.
Tips
1. Experiment with different tfm values.
2. Use lns to control short positions.
3. Combine with other indicators for confirmation.
NNFX RSI EMA FVMA MACD ALGOThis Pine Script introduces a cutting-edge trading strategy that seamlessly integrates multiple technical indicators—namely, the Flexible Variable Moving Average ( FVMA ), Relative Strength Index ( RSI ), Moving Average Convergence Divergence ( MACD ), and Exponential Moving Average ( EMA )—to deliver a sophisticated trading experience. This script stands out due to its comprehensive approach, robust risk management, and the inclusion of crucial data tables for various timeframes, making it an invaluable tool for traders seeking to enhance their market performance.
Originality of the Strategy:
The originality of this script lies in its unique combination of multiple powerful indicators, enabling traders to benefit from diverse perspectives on market dynamics. This mashup enhances decision-making processes, providing multiple layers of confirmation for trade entries and exits. The strategy is designed to offer an innovative solution for traders looking to improve their performance through well-defined rules and a solid framework.
Flexible Variable Moving Average (FVMA):
The FVMA adapts dynamically to market conditions, offering a more responsive trend line than traditional moving averages. This flexibility allows for quick identification of trends and reversals, crucial for fast-paced trading environments.
Exponential Moving Average (EMA):
By giving greater weight to recent price data, the EMA enhances sensitivity to price changes, allowing for more accurate entries and exits when used alongside the FVMA. This combination maximizes the effectiveness of the strategy in identifying optimal trading opportunities.
Relative Strength Index (RSI):
The RSI helps identify overbought or oversold conditions, integrating seamlessly with other indicators to enhance the strategy's ability to pinpoint potential reversal points. This aspect of the strategy ensures that traders can make informed decisions based on market momentum.
Moving Average Convergence Divergence (MACD):
The MACD serves as an essential confirmation tool, providing insights into trend strength and momentum. This enhances the accuracy of entry and exit signals, allowing traders to make more informed decisions based on robust technical analysis.
Multi-Take Profit (TP) and Stop Loss (SL) Levels:
The strategy supports multiple TPs, allowing traders to lock in profits at various levels while effectively managing risk through a robust SL system. This flexibility caters to diverse trading styles and risk profiles, ensuring that the strategy can adapt to individual trader needs.
Default Properties:
Take Profit Levels: TP1 is set to 2.0, and TP2 is set to 2.9, which is designed to enhance profit potential while maintaining a solid risk-reward ratio.
Stop Loss: A SL is set at 2% of the 5% account balance, which helps to preserve capital and manage risk effectively, adhering to the guideline of not risking more than 5-10% of the account balance per trade.
Labeling System for Exits: Automatic labeling of TP and SL exits on the chart provides clear visualization of trading outcomes. This feature supports informed decision-making and performance tracking, aligning with the guideline of providing transparent results.
Custom Alerts System:
The inclusion of customizable alerts for trade entries, exits, and SL/TP hits keeps traders informed in real-time, enabling prompt actions without constant market monitoring. This is crucial for effective trade management and helps traders respond quickly to market changes.
API Boxes for Automated Trading:
The strategy features API boxes, allowing traders to set up automated trading based on indicator signals. This functionality enables seamless integration with trading platforms, enhancing efficiency and streamlining the trading process, which is particularly valuable for traders looking to optimize their execution.
Data Tables for Enhanced Analysis:
The script includes data tables displaying critical insights across various timeframes: 2-hour, daily, weekly, and monthly. These tables provide a comprehensive overview of market conditions, allowing traders to analyze trends and make informed decisions based on a broad spectrum of data. By leveraging this information, traders can identify high-probability setups and align their strategies with prevailing market trends, significantly increasing their chances of success.
Default Properties:
Initial Capital: £1,000, ensuring a realistic starting point for traders.
Risk per Trade: 5% of the account balance, promoting sustainable trading practices.
Commission: 0.1%, reflecting realistic transaction costs that traders may encounter.
Slippage: 1%, accounting for potential market volatility during trade execution.
Take Profit Levels:
TP1: 2.0
TP2: 2.9
Stop Loss (SL): 2% of the 5% account balance, which is well within acceptable risk parameters.
Compliance with TradingView Guidelines:
This script fully complies with TradingView's guidelines, specifically:
Strategy Results:
The strategy is designed to publish backtesting results that do not mislead traders. The realistic parameters outlined in the default properties ensure that traders have a clear understanding of potential outcomes.
The dataset used for backtesting has sufficient trades to produce a reliable sample size, aligning with the guideline of ideally having more than 100 trades.
Any deviations from recommended practices are justified in the script description, ensuring transparency and adherence to best practices.
The script explains the default properties in detail, providing a thorough understanding of how these settings influence performance.
Why This Script is Worth Paying For:
This Pine Script offers an unparalleled trading experience through its unique combination of technical indicators, comprehensive trade management features, and detailed data tables for multiple timeframes. Here are compelling reasons to invest in this strategy:
Holistic Approach: The integration of multiple indicators ensures a well-rounded perspective on market conditions, increasing the likelihood of successful trades.
Advanced Risk Management: The flexibility of multiple TPs and SLs empowers traders to tailor their risk profiles according to individual strategies, enhancing overall profitability.
Automated Trading Capability: The inclusion of API boxes for automated trading streamlines execution, allowing traders to capitalize on opportunities without the need for manual intervention.
Comprehensive Data Analysis: The detailed data tables provide invaluable insights across different timeframes, enabling traders to make informed decisions based on robust market analysis.
In summary, this innovative Pine Script represents a powerful tool designed to empower traders at all levels. Its originality, synergistic functionality, and comprehensive features create a dynamic and effective trading environment, justifying its value and positioning it as a must-have for anyone serious about achieving consistent trading success.
Triangular Arbitrage [Starbots]Triangular arbitrage in crypto refers to a trading strategy that exploits price discrepancies between three different cryptocurrencies or currency pairs on the same exchange.
The idea is to make a series of trades that ultimately result in a profit without the risk typically involved in trading. It works by taking advantage of the inefficiencies in the pricing of cryptocurrency pairs.
Here’s how it works:
Identify the Discrepancy: A trader finds a pricing mismatch between three cryptocurrencies. For example, they identify that the exchange rates between BTC/ETH, ETH/USDT, and BTC/USDT pairs are not aligned in a way that satisfies arbitrage-free conditions.
Three Trades:
Trade 1: Start with one cryptocurrency, say USDT (Tether).
Trade 2: Use USDT to buy ETH.
Trade 3: Use ETH to buy BTC.
Final Trade: Finally, convert the BTC back into USDT.
Profit: If the exchange rates between these pairs are out of sync, the trader can end up with more USDT (or the initial cryptocurrency) than they started with. This is because the temporary price inefficiency allowed them to buy low and sell high across different pairs.
Example:
Initial position: You have 10,000 USDT.
Step 1: You buy ETH with USDT (at a rate of 1 ETH = 2000 USDT), getting 5 ETH.
Step 2: You buy BTC with ETH (at a rate of 1 BTC = 2.5 ETH), getting 2 BTC.
Step 3: You sell BTC back for USDT (at a rate of 1 BTC = 5200 USDT), getting 10,400 USDT.
This results in a profit of 400 USDT after completing the cycle, assuming no fees or slippage.
Key Points:
Risk-Free (In Theory): In theory, triangular arbitrage is risk-free because you’re taking advantage of price discrepancies and not market trends.
High Speed Required: Since the inefficiencies in the crypto market are usually very short-lived, this strategy often requires bots or automated systems to execute trades quickly.
Fees and Slippage: In reality, exchange fees, trading volume, and slippage (the difference between the expected price and the actual execution price) can eat into profits and should be carefully considered.
Triangular arbitrage opportunities arise in crypto markets due to the high volatility and fragmentation across different trading pairs and exchanges.
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Recommended Binance pairs: DOGE/BTC, TRX/BTC, LINK/BTC, RUNE/BTC, FET/BTC, WIF/BTC,.. Make sure they have big daily volume when you swap them.
You typically have 30 seconds to 2 minutes to complete all three orders, but the main challenge is slippage, especially if the trading volume is low.
<>How to use indicator?
For example, open the DOGE/BTC chart on Binance and set the timeframe to 30 seconds or 1 minute.
In the first input, enter DOGE/USDT, the symbol that's on the left of your slash (DOGE/BTC), and in the second, enter BTC/USDT, the symbol that's on the right of your slash (DOGE/BTC).
Next, select the investment and commissions option.
Indicator will automatically calculate the discrepancies between these three different cryptocurrency pairs and show you when it's profitable to trade it on the chart.
Follow the indicator's suggested orders and capitalize on the price discrepancies between the three cryptocurrencies on the same exchange. This is how Triangular Arbitrage work.
Pivot Points LIVE [CHE]Title:
Pivot Points LIVE Indicator
Subtitle:
Advanced Pivot Point Analysis for Real-Time Trading
Presented by:
Chervolino
Date:
September 24, 2024
Introduction
What are Pivot Points?
Definition:
Pivot Points are technical analysis indicators used to determine potential support and resistance levels in financial markets.
Purpose:
They help traders identify possible price reversal points and make informed trading decisions.
Overview of Pivot Points LIVE :
A comprehensive indicator designed for real-time pivot point analysis.
Offers advanced features for enhanced trading strategies.
Key Features
Pivot Points LIVE Includes:
Dynamic Pivot Highs and Lows:
Automatically detects and plots pivot high (HH, LH) and pivot low (HL, LL) points.
Customizable Visualization:
Multiple options to display markers, price labels, and support/resistance levels.
Fractal Breakouts:
Identifies and marks breakout and breakdown events with symbols.
Line Connection Modes:
Choose between "All Separate" or "Sequential" modes for connecting pivot points.
Pivot Extension Lines:
Extends lines from the latest pivot point to the current bar for trend analysis.
Alerts:
Configurable alerts for breakout and breakdown events.
Inputs and Configuration
Grouping Inputs for Easy Customization:
Source / Length Left / Length Right:
Pivot High Source: High price by default.
Pivot Low Source: Low price by default.
Left and Right Lengths: Define the number of bars to the left and right for pivot detection.
Colors: Customizable colors for pivot high and low markers.
Options:
Display Settings:
Show HH, LL, LH, HL markers and price labels.
Display support/resistance level extensions.
Option to show levels as a fractal chaos channel.
Enable fractal breakout/down symbols.
Line Connection Mode:
Choose between "All Separate" or "Sequential" for connecting lines.
Line Management:
Set maximum number of lines to display.
Customize line colors, widths, and styles.
Pivot Extension Line:
Visibility: Toggle the display of the last pivot extension line.
Customization: Colors, styles, and width for extension lines.
How It Works - Calculating Pivot Points
Pivot High and Pivot Low Detection:
Pivot High (PH):
Identified when a high price is higher than a specified number of bars to its left and right.
Pivot Low (PL):
Identified when a low price is lower than a specified number of bars to its left and right.
Higher Highs, Lower Highs, Higher Lows, Lower Lows:
Higher High (HH): Current PH is higher than the previous PH.
Lower High (LH): Current PH is lower than the previous PH.
Higher Low (HL): Current PL is higher than the previous PL.
Lower Low (LL): Current PL is lower than the previous PL.
Visual Elements
Markers and Labels:
Shapes:
HH and LH: Downward triangles above the bar.
HL and LL: Upward triangles below the bar.
Labels:
Optionally display the price levels of HH, LH, HL, and LL on the chart.
Support and Resistance Levels:
Extensions:
Lines extending from pivot points to indicate potential support and resistance zones.
Chaos Channels:
Display levels as a fractal chaos channel for enhanced trend analysis.
Fractal Breakout Symbols:
Buy Signals: Upward triangles below the bar.
Sell Signals: Downward triangles above the bar.
Slide 7: Line Connection Modes
All Separate Mode:
Description:
Connects pivot highs with pivot highs and pivot lows with pivot lows separately.
Use Case:
Ideal for traders who want to analyze highs and lows independently.
Sequential Mode:
Description:
Connects all pivot points in the order they occur, regardless of being high or low.
Use Case:
Suitable for identifying overall trend direction and momentum.
Pivot Extension Lines
Purpose:
Trend Continuation:
Visualize the continuation of the latest pivot point's price level.
Customization:
Colors:
Differentiate between bullish and bearish extensions.
Styles:
Solid, dashed, or dotted lines based on user preference.
Width:
Adjustable line thickness for better visibility.
Dynamic Updates:
The extension line updates in real-time as new bars form, providing ongoing trend insights.
Alerts and Notifications
Configurable Alerts:
Fractal Break Arrow:
Triggered when a breakout or breakdown occurs.
Long and Short Signals:
Specific alerts for bullish breakouts (Long) and bearish breakdowns (Short).
Benefits:
Timely Notifications:
Stay informed of critical market movements without constant monitoring.
Automated Trading Strategies:
Integrate with trading bots or automated systems for executing trades based on alerts.
Customization and Optimization
User-Friendly Inputs:
Adjustable Parameters:
Tailor pivot detection sensitivity with left and right lengths.
Color and Style Settings:
Match the indicator aesthetics to personal or platform preferences.
Line Management:
Maximum Lines Displayed:
Prevent chart clutter by limiting the number of lines.
Dynamic Line Handling:
Automatically manage and delete old lines to maintain chart clarity.
Flexibility:
Adapt to Different Markets:
Suitable for various financial instruments including stocks, forex, and cryptocurrencies.
Scalability:
Efficiently handles up to 500 labels and 100 lines for comprehensive analysis.
Practical Use Cases
Identifying Key Support and Resistance:
Entry and Exit Points:
Use pivot levels to determine optimal trade entry and exit points.
Trend Confirmation:
Validate market trends through the connection of pivot points.
Breakout and Breakdown Strategies:
Trading Breakouts:
Enter long positions when price breaks above pivot highs.
Trading Breakdowns:
Enter short positions when price breaks below pivot lows.
Risk Management:
Setting Stop-Loss and Take-Profit Levels:
Utilize pivot levels to place strategic stop-loss and take-profit orders.
Slide 12: Benefits for Traders
Real-Time Analysis:
Provides up-to-date pivot points for timely decision-making.
Enhanced Visualization:
Clear markers and lines improve chart readability and analysis efficiency.
Customizable and Flexible:
Adapt the indicator to fit various trading styles and strategies.
Automated Alerts:
Stay ahead with instant notifications on key market events.
Comprehensive Toolset:
Combines pivot points with fractal analysis for deeper market insights.
Conclusion
Pivot Points LIVE is a robust and versatile indicator designed to enhance your trading strategy through real-time pivot point analysis. With its advanced features, customizable settings, and automated alerts, it equips traders with the tools needed to identify key market levels, execute timely trades, and manage risks effectively.
Ready to Elevate Your Trading?
Explore Pivot Points LIVE and integrate it into your trading toolkit today!
Q&A
Questions?
Feel free to ask any questions or request further demonstrations of the Pivot Points LIVE indicator.
Average True Range with Price MAATR with Price Moving Average Indicator
This custom indicator combines the Average True Range (ATR) with a Price Moving Average (MA) to help traders analyze market volatility in percent to the price.
Key Components:
Average True Range (ATR)
Price Moving Average (MA)
ATR/Price in Percent
ATR/Price in Percent
Purpose: This ratio helps traders understand the relative size of the ATR compared to the current price, providing a clearer sense of how significant the volatility is in proportion to the price level.
Calculation: ATR is divided by the current closing price and multiplied by 100 to express it as a percentage. This makes it easier to compare volatility across assets with different price ranges.
Plot: This is plotted as a percentage, making it easier to gauge whether the volatility is proportionally high or low compared to the asset's price.
Usage:
This indicator is designed to help identify the most volatile tokens, making it ideal for configuring a Grid Bot to maximize profit. By focusing on high-volatility assets, traders can capitalize on larger price swings within the grid, increasing the potential for more profitable trades.
Features:
Customizable Smoothing Method: Choose from RMA (Relative Moving Average), SMA (Simple Moving Average), EMA (Exponential Moving Average), or WMA (Weighted Moving Average) for both ATR and the Price Moving Average.
Dual Perspective: The indicator provides both volatility analysis (ATR) and trend analysis (Price MA) in a single view.
Proportional Volatility: The ATR/Price (%) ratio adds a layer of context by showing how volatile the asset is relative to its current price.
Enhanced Local Polynomial Regression [Yosiet]Local Polynomial Regression (LPR) is an advanced statistical method that offers a flexible approach to estimating the underlying trend in financial time series data.
The Mathematical Explanation
The core idea of LPR is to fit a polynomial of degree p at each point x using weighted least squares. The weight of each data point decreases with its distance from x, controlled by a kernel function and a bandwidth parameter.
The general form of the local polynomial estimator is:
β̂(x) = argmin Σ K((Xi - x) / h) (Yi - β0 - β1(Xi - x) - ... - βp(Xi - x)^p)^2
Where:
β̂(x) is the vector of estimated coefficients
K is the kernel function
h is the bandwidth
Xi and Yi are the predictor and response variables
p is the degree of the polynomial
Our implementation uses the Epanechnikov kernel:
K(u) = 3/4 * (1 - u^2) for |u| ≤ 1, 0 otherwise
The Implementation
This script implements LPR for the easier way to interpret its values with the following key components:
Input Parameters: Can adjust the lookback period, bandwidth, and polynomial degree.
Kernel Function: The Epanechnikov kernel is used for weighting.
LPR Function: Implements the core algorithm using matrix operations.
Signal Generation: Generates buy/sell signals based on crossovers of smoothed price and LPR results.
How to Use
Apply the indicator to your chart in TradingView.
Adjust the input parameters:
Lookback Period: Controls how many past bars are considered.
Bandwidth: Affects the smoothness of the regression line.
Polynomial Degree: Determines the complexity of the local fit.
Signal Smoothing Length: Adjusts the responsiveness of buy/sell signals.
Monitor buy/sell signals for potential trade entries.
Limitations
Sensitivity to Parameters: The choice of bandwidth and polynomial degree significantly impacts the results.
Lag: Like all trend-following indicators, LPR may lag behind rapid price movements.
Edge Effects: The indicator may be less reliable at the edges of the data (recent bars).
Recommendations
Parameter Optimization: Experiment with different lookback periods, bandwidths, and polynomial degrees to find the best fit for your trading style and timeframe.
Combine with Other Indicators: Use LPR in conjunction with momentum oscillators or volume indicators for confirmation.
Multiple Timeframes: Apply LPR on different timeframes to gain a more comprehensive view of the trend.
Avoid Overfitting: Be cautious of using high polynomial degrees, as they may lead to overfitting on historical data.
Consider Market Conditions: LPR works best in trending markets; be aware of its limitations in ranging or highly volatile conditions.
Backtest Thoroughly: Always backtest strategies based on LPR across different market conditions before live trading.
Conclusion
Local Polynomial Regression offers a sophisticated approach to trend analysis in financial markets. By providing a flexible, adaptive trend line, it can help traders identify potential entry and exit points with greater precision than traditional moving averages. However, like all technical indicators, it should be used as part of a comprehensive trading strategy that includes proper risk management and consideration of fundamental factors.
if you have an strategy or idea and need to make it real through an indicator or trading bot, you can DM or comment
Rsi Long-Term Strategy [15min]Hello, I would like to present to you The "RSI Long-Term Strategy" for 15min tf
The "RSI Long-Term Strategy " is designed for traders who prefer a combination of momentum and trend-following techniques. The strategy focuses on entering long positions during significant market corrections within an overall uptrend, confirmed by both RSI and volume. The use of long-term SMAs ensures that trades are made in line with the broader market trend. The stop-loss feature provides risk management by limiting losses on trades that do not perform as expected. This strategy is particularly well-suited for longer-term traders who monitor 15-minute charts but look for substantial trend reversals or continuations.
Indicators and Parameters:
Relative Strength Index (RSI):
- The RSI is calculated using a 10-period length. It measures the magnitude of recent price changes to evaluate overbought or oversold conditions. The script defines oversold conditions when the RSI is at or below 30 and overbought conditions when the RSI is at or above 70.
Volume Condition:
-The strategy incorporates a volume condition where the current volume must be greater than 2.5 times the 20-period moving average of volume. This is used to confirm the strength of the price movement.
Simple Moving Averages (SMA):
- The strategy uses two SMAs: SMA1 with a length of 250 periods and SMA2 with a length of 500 periods. These SMAs help identify long-term trends and generate signals based on their crossover.
Strategy Logic:
Entry Logic:
A long position is initiated when all the following conditions are met:
The RSI indicates an oversold condition (RSI ≤ 30).
SMA1 is above SMA2, indicating an uptrend.
The volume condition is satisfied, confirming the strength of the signal.
Exit Logic:
The strategy closes the long position when SMA1 crosses under SMA2, signaling a potential end of the uptrend (a "Death Cross").
Stop-Loss:
A stop-loss is set at 5% below the entry price to manage risk and limit potential losses.
Buy and sell signals are highlighted with circles below or above bars:
Green Circle : Buy signal when RSI is oversold, SMA1 > SMA2, and the volume condition is met.
Red Circle : Sell signal when RSI is overbought, SMA1 < SMA2, and the volume condition is met.
Black Cross: "Death Cross" when SMA1 crosses under SMA2, indicating a potential bearish signal.
to determine the level of stop loss and target point I used a piece of code by RafaelZioni, here is the script from which a piece of code was taken
I hope the strategy will be helpful, as always, best regards and safe trades
;)
Oster's Fair Economy (OFE)Overview:
Oster's Fair Economy (OFE) is a powerful tool designed to give traders and investors a comprehensive assessment of the fair value of major stock indices . Unlike conventional indicators that focus solely on technical analysis, OFE emphasizes economic metrics to offer a deeper understanding of the market's intrinsic value. By applying Oster's method (explained below), OFE determines the fundamental fair price of key indices, making it an invaluable tool for top-down analysis and market confirmation. It is particularly useful for swing trading on indices and as a top-down confirmation for individual stock trades.
Important Note:
OFE is designed for use with indices, not individual stocks : Stocks are often driven by their own fundamental factors, such as earnings, revenue, and dividend yields, which may not align with broad economic metrics. While OFE can sometimes provide insights into individual stocks, particularly those highly correlated with broader market trends, it is specifically intended for index analysis.
OFE is optimized for Weekly Candles (W ): OFE is most effective when used with weekly data, as it aligns with the longer-term outlook of economic analyses. While it can be used with smaller timeframes, weekly data is recommended for the most accurate insights.
Innovative Approach to Economic Analysis:
OFE integrates a unique combination of key economic metrics , including:
Gross National Product (GNP)
Consumer Price Index (CPI)
Unemployment Rate (UR)
Interest Rate (e.g., FED)
Nonfarm Payrolls (NFP)
Retail Sales (RS)
Industrial Production (IP)
Balance Of Trade (BOT)
Money Supply M2 (M2)
Consumer Confidence Index (CCI)
These metrics are tailored for 20 different markets : United States (US), Canada (CA), European Union (EU), Germany (DE), United Kingdom (GB), France (FR), Italy (IT), Switzerland (CH), Spain (ES), Australia (AU), New Zealand (NZ), Japan (JP), China (CN), Hong Kong (HK), South Korea (KR), India (IN), Russia (RU), Brazil (BR), Mexico (MX), and Saudi Arabia (SA).
This comprehensive set of data allows traders to gauge the potential for growth, inflation, and overall market conditions . OFE's weighting system reflects the importance of these metrics in determining the fair value of indices according to Oster's methodology .
How OFE Works:
OFE's calculation methodology is designed to provide insights into whether an index is fundamentally overvalued, undervalued, or trading at fair value by comparing its price dynamics with economic data. Here’s a step-by-step breakdown of how OFE works:
Economic Data Collection : OFE retrieves relevant economic data from the selected region, such as GDP, CPI, and interest rates. If specific market data is unavailable, OFE defaults to the US market as a fallback.
Normalization and Weighting : The collected economic metrics are normalized against historical trends to ensure that the data reflects both current levels and long-term averages. For example, GDP growth rates are normalized based on historical data, allowing for a comparison across different economic periods. Similarly, CPI and unemployment rates are adjusted to account for historical context, ensuring that high inflation or unemployment is appropriately weighed relative to past conditions. However, all other macroeconomic key figures are also processed in the same way.
Relating Economic Metrics to Price Dynamics : OFE calculates specific ratios by comparing the selected index’s price with the normalized economic data. These ratios, such as the GNP ratio, are then analyzed within the context of historical performance. The goal is to establish a relationship between the economic indicators and the index’s historical price behavior. For instance, if the GNP ratio is currently higher than historical norms, it could suggest that the index is overvalued relative to the economy’s actual productivity.
Fair Value Calculation : Based on the derived ratios and their historical correlations with index prices, OFE computes a fair value for the index. This calculation integrates multiple economic indicators, each weighted according to its perceived importance in influencing the index. For example, in a high-growth environment, GDP and industrial production might carry more weight, whereas in a recession, unemployment and interest rates could become more influential. The resulting fair value reflects the index's price adjusted for the current economic environment.
Price Comparison : The calculated fair value is then compared to the current market price of the index. If the market price significantly deviates from the fair value, it suggests that the index is either overvalued or undervalued. For example, if the fair value of the S&P 500 is calculated to be 10% lower than its current market price, OFE would indicate that the index might be overvalued, potentially signaling a market correction. The fair price line basically acts as a kind of magnet that keeps attracting the index price. This is because, in the longer term, the broad market is always guided by the economic health of the country in concerned.
Market Dynamics Consideration : By adjusting the "Strictness" level in OFE, users can control how sensitive the fair value calculation is to economic fundamentals. A higher strictness level would highlight discrepancies between the fair value and the market price more aggressively, suggesting a higher likelihood of market mispricing. Conversely, a lower strictness level allows for greater flexibility, acknowledging that markets can sometimes deviate from fundamental values without immediate correction.
Customizable Parameters for Tailored Analysis:
OFE offers extensive customization options to align with your specific investment strategy. Users can:
Select or deselect economic metrics for inclusion.
Adjust the weighting of each metric to reflect its importance in their analysis.
Fine-tune the strictness of the valuation process (as explained above).
Additionally, users can compare different indices with various macroeconomic data sets . For example, you might select the DAX index and apply US economic data to see how the index would perform if driven by US market fundamentals. This feature enables a highly tailored and region-specific analysis, empowering traders to align OFE with their individual perspectives and market outlooks.
Interpretation:
If the calculated fair price is above the current index value, the index is considered fundamentally undervalued, indicating potential for price increases. Conversely, if the fair price is below the current index value, the index is seen as overvalued, suggesting potential risks or a possible correction. The fair price acts as a gravitational force, pulling the index toward its true economic value over time.
This over- or undervaluation can also serve as an overarching economic confirmation for stock trading . For example, it might be advantageous to buy individual stocks when the broader market is fundamentally undervalued, as the general upward potential of the market could support stock price increases. Conversely, selling or avoiding stocks when the broader market is overvalued could help mitigate potential risks, as the market may be primed for a correction.
Conclusion:
Oster's Fair Economy (OFE) bridges the gap between technical simplicity and the depth of macroeconomic analysis . By integrating complex economic metrics with user-friendly customization, OFE empowers traders and investors to assess the fair valuation of indices confidently . This tool is ideal for confirming market trends and gaining a broader understanding of the economic landscape, making it a valuable asset in any investment toolkit.
Quatro SMA Strategy [4h]Hello, I would like to present to you The "Quatro SMA" strategy
Strategy is based on four simple moving averages of different lengths and monitoring trading volume. The key idea is to identify strong market trends by comparing short-term moving averages with the long-term SMA. The strategy generates buy signals when all short-term SMAs are above the SMA(200) and the volume confirms the strength of the move. Similarly, sell signals are generated when all short-term SMAs are below the SMA(200), and the volume is sufficiently high.
The strategy manages risk by applying a stop loss and three different Take Profit levels (TP1, TP2, TP3), with varying percentages of the position closed at each level.
Each Take Profit level is triggered at a specific percentage gain, with the position being closed gradually depending on the achieved targets. The percentage of the position closed at each TP level is also defined by the user.
Indicators and Parameters:
Simple Moving Averages (SMA):
The script utilizes four simple moving averages with different lengths (4, 16, 32, 200). The first three SMAs (SMA1, SMA2, SMA3) are used to determine the trend direction, while the fourth SMA (with a length of 200) serves as a support/resistance line.
Volume:
The script monitors trading volume and checks if the current volume exceeds 2.5 times the average volume of the last 40 candles. High volume is considered as confirmation of trend strength.
Entry Conditions:
- Long Position: Triggered when SMA1 > SMA2 > SMA3, the closing price is above SMA(200), and the volume condition is met.
- Short Position: Triggered when SMA1 < SMA2 < SMA3, the closing price is below SMA(200), and the volume condition is met.
Exit Conditions:
- Long Position: Closed when SMA1 < SMA2 < SMA3 and the closing price is above SMA(200).
- Short Position: Closed when SMA1 > SMA2 > SMA3 and the closing price is below SMA(200).
to determine the level of stop loss and target point I used a piece of code by RafaelZioni, here is the script from which a piece of code was taken
I hope the strategy will be helpful, as always, best regards and safe trades
;)
