P/L CalculatorDescription of the P/L Calculator Indicator
The P/L Calculator is a dynamic TradingView indicator designed to provide traders with real-time insights into profit and loss metrics for their trades. It visualizes key levels such as entry price, profit target, and stop-loss, while also calculating percentage differences and net profit or loss, factoring in fees.
Features:
Customizable Input Parameters:
Entry Price: Define the starting price of the trade.
Profit and Stop-Loss Levels (%): Set percentage thresholds for targets and risk levels.
USDT Amount: Specify the trade size for precise calculations.
Trade Type: Choose between "Long" or "Short" positions.
Visual Representation:
Entry Price, Profit Target, and Stop-Loss levels are plotted as horizontal lines on the chart.
Line styles, colors, and thicknesses are fully customizable for better visibility.
Real-Time Metrics:
Percentage difference between the live price and the entry price is calculated dynamically.
Profit/Loss (P/L) and fees are computed in real time to display net profit or loss.
Alerts:
Alerts are triggered when:
The live price hits the profit target.
The live price crosses the stop-loss level.
The price reaches the specified entry level.
A user-defined percentage difference is reached.
Labels and Annotations:
Displays percentage difference, P/L, and fee information in a clear label near the live price.
Custom Fee Integration:
Allows input of trading fees (%), enabling accurate net profit or loss calculations.
Price Scale Visualization:
Displays the percentage difference on the price scale for enhanced context.
Use Case:
The P/L Calculator is ideal for traders who want to monitor their trades' performance and make informed decisions without manually calculating metrics. Its visual cues and alerts ensure you stay updated on critical levels and price movements.
This indicator supports a wide range of trading styles, including swing trading, scalping, and position trading, making it a versatile tool for anyone in the market.
在腳本中搜尋"stop loss"
Fibonacci Trading Strategy (Auto Levels)How It Works
Swing Highs and Lows Detection:
The script identifies the highest high and lowest low over a specified lookback period (default: 50 candles). These points are used as the basis for Fibonacci calculations.
Fibonacci Levels:
Fibonacci retracement levels: 0%, 38.2%, 50%, 61.8%, 78.6%, and 100%.
Fibonacci extension levels: 127.2%, 161.8%, 200%, 261.8%, and 361.8%.
Each level is plotted on the chart with a specific color and labeled with the corresponding price.
Entry Zones:
Pullback Area: Between the 50% and 61.8% retracement levels. This area is highlighted in green, indicating a potential entry for conservative traders.
Full Margin Area: Between the 61.8% and 78.6% retracement levels. This area is highlighted in red, suggesting a higher-risk entry for aggressive traders.
Stop Loss (SL):
The Stop Loss is placed at the 78.6% Fibonacci retracement level. A dotted red line is drawn at this level to provide a visual reference for risk management.
Entry labels include the Stop Loss price for clarity.
Take Profit (TP) Levels:
Multiple take-profit targets are identified using Fibonacci extension levels (127.2%, 161.8%, 200%, 261.8%, and 361.8%).
Each level is labeled with the price and target percentage.
Visual Aids:
The script dynamically labels each Fibonacci level with its corresponding price.
Entry points (Pullback and Full Margin) are marked with clear labels, including the recommended Stop Loss.
Background highlights help distinguish the Pullback and Full Margin areas.
Strategy Highlights
Risk Management:
Incorporates a well-defined Stop Loss at the 78.6% level to limit downside risk.
Multiple take-profit levels help traders scale out of positions gradually.
Automation:
Automatically recalculates levels when new swing highs or lows are detected, ensuring accuracy in dynamic markets.
Customizability:
Users can adjust the lookback period to suit different timeframes or trading styles.
Clarity:
Clean visuals and detailed labels ensure the strategy is easy to interpret and apply.
When to Use
The strategy is suitable for trend-following traders looking to enter during pullbacks in an established trend.
It works best in trending markets where Fibonacci levels often act as strong support or resistance.
Example Scenario
Bullish Setup:
Price retraces to the 50%-61.8% area (Pullback Area) after a swing high.
A buy order is placed in this zone, with the Stop Loss at the 78.6% level.
Profit targets are set at the 127.2%, 161.8%, and higher Fibonacci extensions.
Bearish Setup:
In a downtrend, price retraces upward to the 50%-61.8% zone.
A sell order is placed, with the Stop Loss at the 78.6% level and take-profit levels below.
Dynamic Display for Max/Min MA Types with Fake-Out FilterDynamic Moving Average Max/Min Indicator with Step Line Break
**** select the setting to STEP LINE BREAK****
This indicator provides a powerful way to identify dynamic entry and stop-loss levels for both long and short trades. It calculates the maximum and minimum values of a selected moving average (MA) over a specified lookback period, adapting dynamically to market conditions. It features options for various MA types, including SMA, EMA, HMA, RMA, and DEMA, to suit different trading strategies and styles.
How It Works
1. Moving Average Selection: Choose the type of moving average (SMA, EMA, HMA, RMA, or DEMA) and its period (e.g., HMA 13).
2. Max/Min Calculation: The indicator calculates the highest and lowest values of the selected moving average over a specified lookback period (e.g., 5 candles).
3. Dynamic Plotting:
• Bullish Market: When the price breaks the Max MA level, the Min level is plotted, trailing upward as a potential stop-loss for long trades.
• Bearish Market: When the price breaks the Min MA level, the Max level is plotted, trailing downward as a potential stop-loss for short trades.
4. Fake-Out Filter: If a candle breaks the Max/Min level but closes within the range (indicating a fake-out), the plots do not switch. This can cause repainting during volatile conditions, so use caution in high-wick markets.
Features
• Customizable Inputs: Adjust MA type, period, lookback, and timeframe to suit your trading strategy.
• Multi-Timeframe Flexibility: Works on all timeframes, from micro-scalping on the 1-minute chart to swing trading on higher timeframes.
• Trend Confirmation: Provides clear indications of when to enter or exit based on dynamic levels.
• Risk Management: Highlights stop-loss levels that trail the trend, helping to lock in profits or limit losses.
Advantages
1. Clear Entry/Exit Points: Provides actionable signals for both long and short trades, with defined stop-loss locations.
2. Customizable for Any Style: Tailor the indicator to your product, timeframe, and trading approach (scalping or swing trading).
3. Trend-Focused Guidance: Helps avoid counter-trend trades by showing the dominant trend direction.
4. Adaptive to Market Conditions: The dynamic nature of the indicator allows it to respond to both trending and consolidating markets.
Limitations
1. Repainting During Fake-Outs: The indicator can repaint during volatile periods with long wicks, as it filters for fake-out candles. This may create noise in certain market conditions.
2. Optimization Required: The ideal settings for MA type, period, and lookback are dependent on the market profile and need to be fine-tuned by the trader.
3. Less Effective in Consolidation: In sideways or choppy markets, the indicator may produce less reliable signals unless adjusted for lower sensitivity.
Trading Tips
• Use this indicator to focus on trending markets, avoiding trades against the prevailing trend. For example, during an uptrend, only take long trades and avoid shorts.
• Consider having two configurations: one for trending markets and one for consolidating markets, switching between them as needed.
• Pair this indicator with volume analysis, price action, or other complementary tools to increase accuracy and reduce noise.
This indicator is designed to be both an entry and risk management tool, enabling traders to make informed decisions while keeping risks in check.
PreannFXExplanation of the PreannFX indicator:
Candle Body Size:
The body of the current candle is larger than the previous candle.
Bullish Engulfing:
The current candle closes higher than the previous candle's high.
The body size is larger than the previous candle.
Bearish Engulfing:
The current candle closes lower than the previous candle's low.
The body size is larger than the previous candle.
Entry and Exit:
Bullish: Enter at the previous candle's open or high, stop loss at the previous low, and take profit is 1:1 with the stop loss.
Bearish: Enter at the previous candle's open or low, stop loss at the previous high, and take profit is 1:1 with the stop loss.
Visualization:
Green upward arrows for bullish engulfing patterns.
Red downward arrows for bearish engulfing patterns.
Sunil High-Frequency Strategy with Simple MACD & RSISunil High-Frequency Strategy with Simple MACD & RSI
This high-frequency trading strategy uses a combination of MACD and RSI to identify quick market opportunities. By leveraging these indicators, combined with dynamic risk management using ATR, it aims to capture small but frequent price movements while ensuring tight control over risk.
Key Features:
Indicators Used:
MACD (Moving Average Convergence Divergence): The strategy uses a shorter MACD configuration (Fast Length of 6 and Slow Length of 12) to capture quick price momentum shifts. A MACD crossover above the signal line triggers a buy signal, while a crossover below the signal line triggers a sell signal.
RSI (Relative Strength Index): A shorter RSI length of 7 is used to gauge overbought and oversold market conditions. The strategy looks for RSI confirmation, with a long trade initiated when RSI is below the overbought level (70) and a short trade initiated when RSI is above the oversold level (30).
Risk Management:
Dynamic Stop Loss and Take Profit: The strategy uses ATR (Average True Range) to calculate dynamic stop loss and take profit levels based on market volatility.
Stop Loss is set at 0.5x ATR to limit risk.
Take Profit is set at 1.5x ATR to capture reasonable price moves.
Trailing Stop: As the market moves in the strategy’s favor, the position is protected by a trailing stop set at 0.5x ATR, allowing the strategy to lock in profits as the price moves further.
Entry & Exit Signals:
Long Entry: Triggered when the MACD crosses above the signal line (bullish crossover) and RSI is below the overbought level (70).
Short Entry: Triggered when the MACD crosses below the signal line (bearish crossover) and RSI is above the oversold level (30).
Exit Conditions: The strategy exits long or short positions based on the stop loss, take profit, or trailing stop activation.
Frequent Trades:
This strategy is designed for high-frequency trading, with trade signals occurring frequently as the MACD and RSI indicators react quickly to price movements. It works best on lower timeframes such as 1-minute, 5-minute, or 15-minute charts, but can be adjusted for different timeframes based on the asset’s volatility.
Customizable Parameters:
MACD Settings: Adjust the Fast Length, Slow Length, and Signal Length to tune the MACD’s sensitivity.
RSI Settings: Customize the RSI Length, Overbought, and Oversold levels to better match your trading style.
ATR Settings: Modify the ATR Length and multipliers for Stop Loss, Take Profit, and Trailing Stop to optimize risk management according to market volatility.
Important Notes:
Market Conditions: This strategy is designed to capture smaller, quicker moves in trending markets. It may not perform well during choppy or sideways markets.
Optimizing for Asset Volatility: Adjust the ATR multipliers based on the asset’s volatility to suit the risk-reward profile that fits your trading goals.
Backtesting: It's recommended to backtest the strategy on different assets and timeframes to ensure optimal performance.
Summary:
The Sunil High-Frequency Strategy leverages a simple combination of MACD and RSI with dynamic risk management (using ATR) to trade small but frequent price movements. The strategy ensures tight stop losses and reasonable take profits, with trailing stops to lock in profits as the price moves in favor of the trade. It is ideal for scalping or intraday trading on lower timeframes, aiming for quick entries and exits with controlled risk.
Omega_galskyThe strategy uses three Exponential Moving Averages (EMAs) — EMA8, EMA21, and EMA89 — to decide when to open buy or sell trades. It also includes a mechanism to move the Stop Loss (SL) to the Break-Even (BE) point, which is the entry price, once the price reaches a Risk-to-Reward (R2R) ratio of 1:1.
Key Steps:
Calculating EMAs: The script computes the EMA values for the specified periods. These help identify market trends and potential entry points.
Buy Conditions:
EMA8 crosses above EMA21.
The candle that causes the crossover is green (closing price is higher than the opening price).
The closing price is above EMA89.
If all conditions are met, a buy order is executed.
Sell Conditions:
EMA8 crosses below EMA21.
The candle that causes the crossover is red (closing price is lower than the opening price).
The closing price is below EMA89.
If all conditions are met, a sell order is executed.
Stop Loss and Take Profit:
Initial Stop Loss and Take Profit levels are calculated based on the entry price and a percentage defined by the user.
These levels help protect against large losses and lock in profits.
Break-Even Logic:
When the price moves favorably to reach a 1:1 R2R ratio:
For a buy trade, the Stop Loss is moved to the entry price if the price increases sufficiently.
For a sell trade, the Stop Loss is moved to the entry price if the price decreases sufficiently.
This ensures the trade is risk-free after the price reaches the predefined level.
Visual Representation:
The EMAs are plotted on the chart for easy visualization of trends and crossovers.
Entry and exit points are also marked on the chart to track trades.
Purpose:
The strategy is designed to capitalize on EMA crossovers while minimizing risks using Break-Even logic and predefined Stop Loss/Take Profit levels. It automates decision-making for trend-following traders and ensures disciplined risk management.
IU Higher Timeframe MA Cross StrategyIU Higher Timeframe MA Cross Strategy
The IU Higher Timeframe MA Cross Strategy is a versatile trading tool designed to identify trend by utilizing two customizable moving averages (MAs) across different timeframes and types. This strategy includes detailed entry and exit rules with fully configurable inputs, offering flexibility to suit various trading styles.
Key Features:
- Two moving averages (MA1 and MA2) with customizable types, lengths, sources, and timeframes.
- Both long and short trade setups based on MA crossovers.
- Integrated risk management with adjustable stop-loss and take-profit levels based on a user-defined risk-to-reward (RTR) ratio.
- Clear visualization of MAs, entry points, stop-loss, and take-profit zones.
Inputs:
1. Risk-to-Reward Ratio (RTR):
- Defines the take-profit level in relation to the stop-loss distance. Default is 2.
2. MA1 Settings:
- Source: Select the data source for calculating MA1 (e.g., close, open, high, low). Default is close.
- Timeframe: Specify the timeframe for MA1 calculation. Default is 60 (60-minute chart).
- Length: Set the lookback period for MA1 calculation. Default is 20.
- Type: Choose the type of moving average (options: SMA, EMA, SMMA, WMA, VWMA). Default is EMA.
- Smooth: Option to enable or disable smoothing of MA1 to merge gaps. Default is true.
3. MA2 Settings:
- Source: Select the data source for calculating MA2 (e.g., close, open, high, low). Default is close.
- Timeframe: Specify the timeframe for MA2 calculation. Default is 60 (60-minute chart).
- Length: Set the lookback period for MA2 calculation. Default is 50.
- Type: Choose the type of moving average (options: SMA, EMA, SMMA, WMA, VWMA). Default is EMA.
- Smooth: Option to enable or disable smoothing of MA2 to merge gaps. Default is true.
Entry Rules:
- Long Entry:
- Triggered when MA1 crosses above MA2 (crossover).
- Entry is confirmed only when the bar is closed and no existing position is active.
- Short Entry:
- Triggered when MA1 crosses below MA2 (crossunder).
- Entry is confirmed only when the bar is closed and no existing position is active.
Exit Rules:
- Stop-Loss:
- For long positions: Set at the low of the bar preceding the entry.
- For short positions: Set at the high of the bar preceding the entry.
- Take-Profit:
- For long positions: Calculated as (Entry Price - Stop-Loss) * RTR + Entry Price.
- For short positions: Calculated as Entry Price - (Stop-Loss - Entry Price) * RTR.
Visualization:
- Plots MA1 and MA2 on the chart with distinct colors for easy identification.
- Highlights stop-loss and take-profit levels using shaded zones for clear visual representation.
- Displays the entry level for active positions.
This strategy provides a robust framework for traders to identify and act on trend reversals while maintaining strict risk management. The flexibility of its inputs allows for seamless customization to adapt to various market conditions and trading preferences.
Milvetti_TraderPost_LibraryLibrary "Milvetti_TraderPost_Library"
This library has methods that provide practical signal transmission for traderpost.Developed By Milvetti
cancelOrders(symbol)
This method generates a signal in JSON format that cancels all orders for the specified pair. (If you want to cancel stop loss and takeprofit orders together, use the “exitOrder” method.
Parameters:
symbol (string)
exitOrders(symbol)
This method generates a signal in JSON format that close all orders for the specified pair.
Parameters:
symbol (string)
createOrder(ticker, positionType, orderType, entryPrice, signalPrice, qtyType, qty, stopLoss, stopType, stopValue, takeProfit, profitType, profitValue, timeInForce)
This function is designed to send buy or sell orders to traderpost. It can create customized orders by flexibly specifying parameters such as order type, position type, entry price, quantity calculation method, stop-loss, and take-profit. The purpose of the function is to consolidate all necessary details for opening a position into a single structure and present it as a structured JSON output. This format can be sent to trading platforms via webhooks.
Parameters:
ticker (string) : The ticker symbol of the instrument. Default value is the current chart's ticker (syminfo.ticker).
positionType (string) : Determines the type of order (e.g., "long" or "buy" for buying and "short" or "sell" for selling).
orderType (string) : Defines the order type for execution. Options: "market", "limit", "stop". Default is "market"
entryPrice (float) : The price level for entry orders. Only applicable for limit or stop orders. Default is 0 (market orders ignore this).
signalPrice (float) : Optional. Only necessary when using relative take profit or stop losses, and the broker does not support fetching quotes to perform the calculation. Default is 0
qtyType (string) : Determines how the order quantity is calculated. Options: "fixed_quantity", "dollar_amount", "percent_of_equity", "percent_of_position".
qty (float) : Quantity value. Can represent units of shares/contracts or a dollar amount, depending on qtyType.
stopLoss (bool) : Enable or disable stop-loss functionality. Set to `true` to activate.
stopType (string) : Specifies the stop-loss calculation type. Options: percent, "amount", "stopPrice", "trailPercent", "trailAmount". Default is "stopPrice"
stopValue (float) : Stop-loss value based on stopType. Can be a percentage, dollar amount, or a specific stop price. Default is "stopPrice"
takeProfit (bool) : Enable or disable take-profit functionality. Set to `true` to activate.
profitType (string) : Specifies the take-profit calculation type. Options: "percent", "amount", "limitPrice". Default is "limitPrice"
profitValue (float) : Take-profit value based on profitType. Can be a percentage, dollar amount, or a specific limit price. Default is 0
timeInForce (string) : The time in force for your order. Options: day, gtc, opg, cls, ioc and fok
Returns: Return result in Json format.
addTsl(symbol, stopType, stopValue, price)
This method adds trailing stop loss to the current position. “Price” is the trailing stop loss starting level. You can leave price blank if you want it to start immediately
Parameters:
symbol (string)
stopType (string) : Specifies the trailing stoploss calculation type. Options: "trailPercent", "trailAmount".
stopValue (float) : Stop-loss value based on stopType. Can be a percentage, dollar amount.
price (float) : The trailing stop loss starting level. You can leave price blank if you want it to start immediately. Default is current price.
InspireHER Dynamic EMA RR Positioning IndicatorDynamic EMA and RR Positioning Indicator
This indicator is designed to provide traders with highly customizable buy and sell signals based on EMA (Exponential Moving Average) crossovers and Risk-to-Reward (RR) ratios. It works on any timeframe and allows users to toggle price data and additional position boxes for visualizing trade setups. Additionally, traders can choose between displaying dots or labeled signals for buy/sell indicators, making this tool versatile and user-friendly for different preferences and strategies.
What Makes This Indicator Unique
Customizable Parameters: The script offers extensive options for tailoring the indicator to your preferred trading style and strategy:
EMA: Configurable through settings (default is a 21-period EMA).
Risk-to-Reward Ratio (RR): Adjustable to meet your desired RR levels (default is 1:2.5).
Lookback Period: Visualizes buy/sell signals over the last six months.
Position Boxes for Trade Visualization: The indicator can "draw" position boxes on the chart, showing potential entry points, stop-loss (SL), and take-profit (TP) levels based on the selected RR. These visual aids simplify decision-making and help evaluate trade opportunities directly on the chart.
Price Data Toggle: Traders can choose to view or hide price data related to trade signals, including TP, SL, and RR values. By default, this is turned off to maintain a clean chart but can be activated when needed.
Flexible Signal Display Options:
Dots Mode: Displays buy signals as green dots and sell signals as red dots on the chart.
Label Mode: Displays buy signals as labels with the word "Buy" in green and sell signals as labels with the word "Sell" in red.
This toggle allows traders to customize how signals are displayed for a more personalized trading experience.
Simple Signal View: A toggle option provides a cleaner chart by enabling or disabling additional visual elements like circles or labels.
How It Works
Buy Signal: Triggered when the price crosses the EMA and closes above it.
Entry: Top of the candle.
Stop-Loss: Bottom of the candle.
Take-Profit: Calculated based on the selected RR.
Sell Signal: Triggered when the price crosses the EMA and closes below it.
Entry: Bottom of the candle.
Stop-Loss: Top of the candle.
Take-Profit: Calculated based on the selected RR.
Default Settings
EMA: 21-period.
Risk-to-Reward Ratio: 1:2.5.
Price Data: Off (can be toggled on in settings).
Position Boxes: Off (can be toggled on in settings).
Signal Display: Labels mode with "Buy" (green) and "Sell" (red) enabled by default; can be toggled to Dots mode.
Timeframe: Any timeframe supported.
How to Use
Add the Indicator to Your Chart: Once applied, the EMA line and buy/sell signals will appear by default.
Customize Settings: Navigate to the indicator's settings to adjust EMA, RR, or enable/disable Price Data, Position Boxes, or switch between Dots and Label modes.
Trade with Confidence: Use the visual aids and signals to assess trade opportunities based on your strategy and timeframe.
This indicator combines the reliability of EMA-based signals with the flexibility of configurable RR, visual trade setups, and multiple signal display options, making it a powerful tool for all types of traders. Happy Trading!!
Global Index Spread RSI StrategyThis strategy leverages the relative strength index (RSI) to monitor the price spread between a global benchmark index (such as AMEX) and the currently opened asset in the chart window. By calculating the spread between these two, the strategy uses RSI to identify oversold and overbought conditions to trigger buy and sell signals.
Key Components:
Global Benchmark Index: The strategy compares the current asset with a predefined global index (e.g., AMEX) to measure relative performance. The choice of a global benchmark allows the trader to analyze the current asset's movement in the context of broader market trends.
Spread Calculation:
The spread is calculated as the percentage difference between the current asset's closing price and the global benchmark index's closing price:
Spread=Current Asset Close−Global Index CloseGlobal Index Close×100
Spread=Global Index CloseCurrent Asset Close−Global Index Close×100
This metric provides a measure of how the current asset is performing relative to the global index. A positive spread indicates the asset is outperforming the benchmark, while a negative spread signals underperformance.
RSI of the Spread: The RSI is then calculated on the spread values. The RSI is a momentum oscillator that ranges from 0 to 100 and is commonly used to identify overbought or oversold conditions in asset prices. An RSI below 30 is considered oversold, indicating a potential buying opportunity, while an RSI above 70 is overbought, suggesting that the asset may be due for a pullback.
Strategy Logic:
Entry Condition: The strategy enters a long position when the RSI of the spread falls below the oversold threshold (default 30). This suggests that the asset may have been oversold relative to the global benchmark and might be due for a reversal.
Exit Condition: The strategy exits the long position when the RSI of the spread rises above the overbought threshold (default 70), indicating that the asset may have become overbought and a price correction is likely.
Visual Reference:
The RSI of the spread is plotted on the chart for visual reference, making it easier for traders to monitor the relative strength of the asset in relation to the global benchmark.
Overbought and oversold levels are also drawn as horizontal reference lines (70 and 30), along with a neutral level at 50 to show market equilibrium.
Theoretical Basis:
The strategy is built on the mean reversion principle, which suggests that asset prices tend to revert to a long-term average over time. When prices move too far from this mean—either being overbought or oversold—they are likely to correct back toward equilibrium. By using RSI to identify these extremes, the strategy aims to profit from price reversals.
Mean Reversion: According to financial theory, asset prices oscillate around a long-term average, and any extreme deviation (overbought or oversold conditions) presents opportunities for price corrections (Poterba & Summers, 1988).
Momentum Indicators (RSI): The RSI is widely used in technical analysis to measure the momentum of an asset. Its application to the spread between the asset and a global benchmark allows for a more nuanced view of relative performance and potential turning points in the asset's price trajectory.
Practical Application:
This strategy works best in markets where relative strength is a key factor in decision-making, such as in equity indices, commodities, or forex markets. By assessing the performance of the asset relative to a global benchmark and utilizing RSI to identify extremes in price movements, the strategy helps traders to make more informed decisions based on potential mean reversion points.
While the "Global Index Spread RSI Strategy" offers a method for identifying potential price reversals based on relative strength and oversold/overbought conditions, it is important to recognize that no strategy is foolproof. The strategy assumes that the historical relationship between the asset and the global benchmark will hold in the future, but financial markets are subject to a wide array of unpredictable factors that can lead to sudden changes in price behavior.
Risk of False Signals:
The strategy relies heavily on the RSI to trigger buy and sell signals. However, like any momentum-based indicator, RSI can generate false signals, particularly in highly volatile or trending markets. In such conditions, the strategy may enter positions too early or exit too late, leading to potential losses.
Market Context:
The strategy may not account for macroeconomic events, news, or other market forces that could cause sudden shifts in asset prices. External factors, such as geopolitical developments, monetary policy changes, or financial crises, can cause a divergence between the asset and the global benchmark, leading to incorrect conclusions from the strategy.
Overfitting Risk:
As with any strategy that uses historical data to make decisions, there is a risk of overfitting the model to past performance. This could result in a strategy that works well on historical data but performs poorly in live trading conditions due to changes in market dynamics.
Execution Risks:
The strategy does not account for slippage, transaction costs, or liquidity issues, which can impact the execution of trades in real-market conditions. In fast-moving markets, prices may move significantly between order placement and execution, leading to worse-than-expected entry or exit prices.
No Guarantee of Profit:
Past performance is not necessarily indicative of future results. The strategy should be used with caution, and risk management techniques (such as stop losses and position sizing) should always be implemented to protect against significant losses.
Traders should thoroughly test and adapt the strategy in a simulated environment before applying it to live trades, and consider seeking professional advice to ensure that their trading activities align with their risk tolerance and financial goals.
References:
Poterba, J. M., & Summers, L. H. (1988). Mean Reversion in Stock Prices: Evidence and Implications. Journal of Financial Economics, 22(1), 27-59.
Master Candle Breakout V1 Master Candle Breakout V1 - Indicator Description
The Master Candle Breakout V1 indicator is a powerful price action-based tool designed to help traders identify and capitalize on breakout opportunities from consolidation phases. This indicator is particularly useful for identifying master candles, which are large candles that encompass the range of subsequent candles, creating a key level of support or resistance. Once the price breaks above or below the range of the master candle, the indicator provides clear buy or sell signals, allowing traders to ride the momentum of the breakout.
Key Features:
Master Candle Detection: The indicator identifies master candles based on a user-defined period, marking them on the chart as critical breakout points.
Buy and Sell Signals: When the price breaks above the master candle's high, a buy signal is plotted. Similarly, when the price breaks below the master candle's low, a sell signal is generated. These signals are displayed on the chart with customizable shapes (diamonds, arrows, circles, crosses) and colors for easy visualization.
Stop-Loss Level Display: For risk management, the indicator calculates and plots a stop-loss level based on user-defined ticks above or below the master candle's high or low. The stop-loss value is shown as a label next to the signal, helping traders manage risk effectively.
Customizable Colors and Shapes: Users can fully customize the appearance of the signals, including the color of the buy/sell diamonds, the stop-loss label text color, and the type of shape used for the signals.
Versatile Application: The Master Candle Breakout V1 can be applied to any timeframe and market, from forex and stocks to commodities and cryptocurrencies, making it a highly versatile tool for traders of all types.
How to Use:
Master Candle Period: Define how many candles should follow the master candle for confirmation.
Stop Loss Ticks: Set the number of ticks above or below the master candle to define your stop-loss level.
Entry Signals: Once the price closes outside the high or low of the master candle, enter the trade accordingly (buy on breakouts above the high, sell on breakouts below the low).
Risk Management: Use the stop-loss level provided by the indicator to minimize losses and protect your capital.
This indicator is perfect for traders who prefer a simple, price-action-based strategy and want to avoid the clutter of traditional indicators. By focusing on the core principle of breakouts, Master Candle Breakout V1 helps traders quickly identify consolidation zones and potential breakout trades.
Cypher Harmonic Pattern [TradingFinder] Cypher Pattern Detector🔵 Introduction
The Cypher Pattern is one of the most accurate and advanced harmonic patterns, introduced by Darren Oglesbee. The Cypher pattern, utilizing Fibonacci ratios and geometric price analysis, helps traders identify price reversal points with high precision. This pattern consists of five key points (X, A, B, C, and D), each playing an important role in determining entry and exit points in the financial markets.
The reversal point typically occurs in the XD region, with the Fibonacci ratio ranging between 0.768 and 0.886. This zone is referred to as the Potential Reversal Zone (PRZ), where traders anticipate price changes to occur.
The Cypher harmonic pattern is popular among professional traders due to its high accuracy in identifying market trends and reversal points. The pattern appears in two forms: bullish Cypher pattern and bearish Cypher pattern.
In the bullish Cypher pattern, after a price correction, the price moves upward, while in the bearish Cypher pattern, the price moves downward after a temporary increase. These patterns help traders use technical analysis to identify strong reversal points in the PRZ and execute more optimal trades.
Bullish Cypher Pattern :
Bearish Cypher Pattern :
🔵 How to Use
The Cypher pattern is one of the most complex and precise harmonic patterns, leveraging Fibonacci ratios to help traders identify price reversals. This pattern is comprised of five key points, each playing a critical role in determining entry and exit points.
The Cypher pattern appears in two main types :
Bullish Cypher pattern : This pattern appears as an M shape on the chart and indicates a trend reversal to the upside after a price correction. Traders can prepare for buying after identifying this pattern in technical analysis.
Bearish Cypher pattern : This pattern appears as a W shape and signals the start of a downtrend after a temporary price increase. Traders can use this pattern to enter short positions.
🟣 How to Identify the Cypher Pattern on a Chart
Identifying the Cypher pattern requires precision and the use of advanced technical analysis tools. The pattern consists of four main legs, each identified using Fibonacci ratios and geometric analysis.
To spot the Cypher pattern on a chart, first, identify the five key points : X, A, B, C, and D.
XA leg : The initial move from point X to A.
AB leg : The first correction after the XA move, where the price moves to point B.
BC leg : After the correction, the price moves upwards to point C.
CD leg : The final price move that reaches point D, where a price reversal is expected.
In a bullish Cypher pattern, point D indicates the start of a new uptrend, while in a bearish Cypher pattern, point D signals the beginning of a downtrend. Correctly identifying these points helps traders determine the best time to enter a trade.
🟣 How to Trade Using the Cypher Pattern
Once the Cypher pattern is identified on the chart, traders can use it to set entry and exit points. Point D is the key point for trade entry. In the bullish Cypher pattern, the trader can enter a long position after point D forms, while in the bearish Cypher pattern, point D serves as the ideal point for entering a short position.
🟣 Entering a Buy Trade with the Bullish Cypher Pattern
In a bullish Cypher pattern, traders wait for the price to reach point D, after which they can enter a buy position. At this point, the price is expected to start rising.
🟣 Entering a Sell Trade with the Bearish Cypher Pattern
In a bearish Cypher pattern, the trader enters a sell position at point D, expecting the price to move downward after reaching this point. For additional confirmation, traders can use technical indicators such as RSI or MACD.
🟣 Risk Management in Cypher Pattern Trades
Risk management is one of the most critical aspects of any trade, and this holds true for trading the Cypher pattern. Traders should always use stop-loss orders to prevent larger losses in case the pattern fails.
In the bullish Cypher pattern, the stop-loss is usually placed slightly below point D to exit the trade if the price continues to drop.
In the bearish Cypher pattern, the stop-loss is placed above point D to limit losses if the price rises unexpectedly.
🟣 Combining the Cypher Pattern with Other Technical Tools
The Cypher pattern is a powerful tool in technical analysis, but combining it with other methods such as price action and technical indicators can improve trading accuracy.
🟣 Combining with Price Action
Traders can use price action to confirm the Cypher pattern. Candlestick patterns like reversal candlesticks can provide additional confirmation for price reversals at point D.
🟣 Using Technical Indicators
Incorporating technical indicators such as RSI and MACD can also help traders receive stronger signals for entering trades based on the Cypher pattern. These indicators help identify overbought or oversold conditions, allowing traders to make more informed decisions.
🟣 Advantages and Disadvantages of the Cypher Pattern in Technical Analysis
Advantages :
High accuracy : The Cypher pattern, using Fibonacci ratios and geometric analysis, provides high precision in identifying reversal points.
Applicable in various markets : This pattern can be used in a wide range of financial markets, including forex, stocks, and cryptocurrencies.
Disadvantages :
Rarit y: The Cypher pattern appears less frequently on charts compared to other harmonic patterns.
Complexity : Accurately identifying this pattern requires significant experience, which may be challenging for novice traders.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Cypher harmonic pattern is one of the most powerful and accurate patterns used in technical analysis. Its high precision in identifying price reversal points, particularly within the Potential Reversal Zone (PRZ), has made it a popular tool among professional traders. The PRZ, located between the Fibonacci ratios of 0.768 and 0.886 in the XD region, offers traders a clear indication of where price reversals are likely to occur.
However, to use this pattern successfully, traders must employ proper risk management and combine it with supplementary tools like technical indicators and price action. By understanding how to utilize the PRZ, traders can enhance the accuracy of their trade entries and exits.
Ultimately, the Cypher pattern, when used in conjunction with the PRZ, helps traders make more precise decisions in the financial markets, leading to more successful and well-informed trades.
XAU/USD Strategy with Correct ADX and Bollinger Bands Fill1. *Indicators Used*:
- *Exponential Moving Averages (EMAs)*: Two EMAs (20-period and 50-period) are used to identify the trend direction and potential entry points based on crossovers.
- *Relative Strength Index (RSI)*: A momentum oscillator that measures the speed and change of price movements. It identifies overbought and oversold conditions.
- *Bollinger Bands*: These consist of a middle line (simple moving average) and two outer bands (standard deviations away from the middle). They help to identify price volatility and potential reversal points.
- *Average Directional Index (ADX)*: This indicator quantifies trend strength. It's derived from the Directional Movement Index (DMI) and helps confirm the presence of a strong trend.
- *Average True Range (ATR)*: Used to calculate position size based on volatility, ensuring that trades align with the trader's risk tolerance.
2. *Entry Conditions*:
- *Long Entry*:
- The 20 EMA crosses above the 50 EMA (indicating a potential bullish trend).
- The RSI is below the oversold level (30), suggesting the asset may be undervalued.
- The price is below the lower Bollinger Band, indicating potential price reversal.
- The ADX is above a specified threshold (25), confirming that there is sufficient trend strength.
- *Short Entry*:
- The 20 EMA crosses below the 50 EMA (indicating a potential bearish trend).
- The RSI is above the overbought level (70), suggesting the asset may be overvalued.
- The price is above the upper Bollinger Band, indicating potential price reversal.
- The ADX is above the specified threshold (25), confirming trend strength.
3. *Position Sizing*:
- The script calculates the position size dynamically based on the trader's risk per trade (expressed as a percentage of the total capital) and the ATR. This ensures that the trader does not risk more than the specified percentage on any single trade, adjusting the position size according to market volatility.
4. *Exit Conditions*:
- The strategy uses a trailing stop-loss mechanism to secure profits as the price moves in the trader's favor. The trailing stop is set at a percentage (1.5% by default) below the highest price reached since entry for long positions and above the lowest price for short positions.
- Additionally, if the RSI crosses back above the overbought level while in a long position or below the oversold level while in a short position, the position is closed to prevent losses.
5. *Alerts*:
- Alerts are set to notify the trader when a buy or sell condition is met based on the strategy's rules. This allows for timely execution of trades.
### Summary
This strategy aims to capture significant price movements in the XAU/USD market by combining trend-following (EMAs, ADX) and momentum indicators (RSI, Bollinger Bands). The dynamic position sizing based on ATR helps manage risk effectively. By implementing trailing stops and alert mechanisms, the strategy enhances the trader's ability to act quickly on opportunities while mitigating potential losses.
Support Resistance DynamicsThe Support Resistance Dynamics indicator is an advanced technical analysis tool designed to identify and visualize key support and resistance levels in real-time. This innovative indicator stands out from traditional support and resistance tools by employing a dynamic approach that adapts to market conditions.
Key Features:
Dynamic Level Calculation: Unlike static support and resistance indicators, this tool continuously updates levels based on recent price action, providing traders with the most relevant and up-to-date information.
Logarithmic Scale Option: The indicator offers a unique logarithmic scale feature, essential for analyzing long-term trends or assets with significant price changes. This allows for more accurate level plotting across various timeframes and price ranges.
Customizable Display: Users can adjust the number of support and resistance lines displayed, allowing for a clean and uncluttered chart view while focusing on the most significant levels.
Adaptive Slope Calculation: The indicator uses an innovative approach to calculate the slope of support and resistance lines, offering options from dynamic adaptation to fixed long-term periods. This ensures the lines remain relevant in both trending and ranging markets.
Enhanced Visualization: With customizable line colors, styles, and transparency, traders can easily distinguish between support and resistance levels, improving chart readability and analysis.
Flexible Period Settings: From dynamic calculations based on recent pivots to fixed long-term periods, the indicator adapts to various trading styles and timeframes.
The Support Resistance Dynamics indicator is particularly useful for:
Identifying potential reversal points in trends
Setting more accurate entry and exit points for trades
Placing stop-loss orders with greater precision
Recognizing breakout levels for potential new trends
By combining dynamic calculation methods with customizable visual elements, this indicator provides traders with a powerful tool for market analysis. Whether you're a day trader looking for short-term opportunities or a long-term investor analyzing macro trends, the Support Resistance Dynamics indicator offers valuable insights to enhance your trading strategy.
This indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any financial instrument. Past performance is not indicative of future results. Trading involves significant risk of loss. Users should conduct their own research and due diligence before making any investment decisions. The creator of this indicator is not responsible for any losses incurred from its use. Always test thoroughly on demo accounts before applying to live trading.
Trailing Stop ProTrailing Stop Pro is a sophisticated TradingView indicator designed to enhance your trading strategy by dynamically managing trailing stops based on market volatility. This tool leverages the Average True Range (ATR) to adjust stop levels, providing traders with a robust mechanism to protect profits and minimize losses.
Key Features:
Dynamic Trailing Stops: Automatically adjusts stop levels using ATR, allowing for responsive and adaptive risk management.
Customizable Inputs: Tailor the indicator to your trading style with adjustable parameters such as ATR Length, ATR Multiplier, and Source Vector.
Visual Clarity: Distinct color settings for long and short stops, with adjustable line thickness and transparency, ensuring clear visualization on your charts.
Professional Grade: The "Pro" designation signifies advanced features suitable for both novice and experienced traders seeking reliable and efficient stop management.
How It Works:
To set up the indicator, begin by defining the Chrono Point, which specifies the exact time you want the trailing stop mechanism to activate. This allows for precise control over when your stops begin to trail. Next, set the Credit Unit as the initial entry price for your trade, serving as the baseline from which the trailing stops will adjust.
The indicator uses ATR-based adjustments to determine stop levels. Customize the sensitivity of the trailing stop by adjusting the ATR Length (default is 14) and ATR Multiplier (default is 0.5). A longer ATR length smooths out volatility, while a higher multiplier increases the distance of the stop from the price.
Select your Source Vector from "High/Low," "Close," or "Open" prices as the basis for stop calculation. This flexibility allows you to align the indicator with your preferred trading strategy. The indicator plots trailing stops directly on the chart, with color-coded lines indicating long (teal) and short (red) positions. You can adjust the line thickness and transparency for optimal visibility.
The Mission Status feature automatically detects whether the trade is long or short and adjusts the trailing stop accordingly. If the price hits the trailing stop, the trade is considered exited, and the indicator calculates the profit or loss percentage.
Benefits:
Risk Management: Protect your trades from adverse market movements while locking in profits as prices move favorably.
Automation: Reduce manual intervention with automatic stop adjustments, allowing you to focus on strategic decision-making.
User-Friendly Interface: Intuitive settings and clear visual cues make it easy to integrate into your existing trading workflow.
Conclusion:
Trailing Stop Pro is an essential tool for traders looking to enhance their risk management strategies with precision and ease. By automating the trailing stop process and providing clear visual feedback, this indicator empowers you to navigate the markets with confidence. Whether you're a seasoned trader or just starting, Trailing Stop Pro offers the functionality and flexibility needed to optimize your trading performance.
The Trailing Stop Pro indicator is a tool designed to assist traders in managing risk and optimizing their trading strategies. However, it should not be considered as financial advice or a guarantee of profitability. Trading involves significant risk, and it is possible to lose more than your initial investment. Users are encouraged to thoroughly test the indicator in a demo environment and consider their own financial situation and risk tolerance before using it in live trading. Past performance is not indicative of future results, and users should seek advice from a qualified financial advisor if needed.
AB_Bnf_Selling_5minThe Mathematical Level Reversal Strategy is designed to identify potential reversal points in the market using mathematical levels combined with price action on a 5-minute chart. This strategy is particularly effective for intraday traders who seek to capitalize on precise entry and exit points based on calculated levels rather than traditional indicators like moving averages or Bollinger Bands.
Creators' Mathematical Levels Explanation
Mathematical levels are predetermined price points calculated based on various factors such as previous high/low points, Fibonacci retracements, or other arithmetic calculations. These levels are used to anticipate areas where the price might reverse or experience significant support or resistance.
higher threshold: A predefined level where the price is expected to experience resistance, leading to a potential reversal downward.
Lower Threshold: A predefined level where the price might find support, leading to a potential upward reversal.
In this strategy, we focus on price movements around the upper mathematical level, where prices are likely to reverse downwards.
Strategy Logic
Setup:
The strategy is applied on a 5-minute chart.
Mathematical levels are calculated based on your preferred method, such as Fibonacci levels, pivot points, or custom calculations. For this strategy, let's assume we are using a specific predefined upper level.
Sell Signal Criteria:
A 5-minute candle must cross above the predefined upper mathematical level or close entirely above it (open and close both above the level).
The following candle must break below the low of the candle that crossed the upper level and close below that low. This confirms a bearish reversal.
Once these conditions are met, a sell signal is triggered.
Stop Loss:
The stop loss is placed at the high of the candle that crossed above the upper mathematical level.
This level represents the point where the trade setup would be invalidated.
Take Profit:
Target 1: The first take profit is set at a level that offers a 1:5 risk-to-reward ratio.
Target 2: An alternative take profit level is set at a 1:3 risk-to-reward ratio, providing flexibility based on market conditions.
Trade Management:
Once a trade is initiated, no new trades will be taken until the current trade hits either the stop loss or the first take profit level. This prevents overlapping signals and helps in managing risk effectively.
Originality and Usefulness
This strategy offers a unique approach by using mathematical levels instead of traditional indicators. It provides traders with a clear framework for identifying and executing high-probability reversal trades, particularly in intraday markets.
Originality:
The strategy's originality lies in its reliance on mathematical levels combined with a multi-candle confirmation pattern. This approach reduces the chances of false signals and offers a robust method for identifying potential reversals.
Usefulness:
The strategy is particularly useful for traders who prefer a more quantitative approach, relying on calculated price levels rather than indicators. The clear rules for entry, stop loss, and take profit make it easier to execute consistently.
The inclusion of both 1:5 and 1:3 risk-to-reward targets allows for flexibility depending on market conditions, ensuring that traders can adapt to varying levels of volatility.
Chart Signals and Examples
To demonstrate the effectiveness of this strategy, let's look at a few hypothetical examples on a 5-minute chart:
Example 1: Clear Reversal Signal
The price steadily rises and crosses above the predefined upper mathematical level. The next candle breaks below the low of this candle and closes lower, triggering a sell signal.
A red dotted line is drawn at the stop loss level (the high of the candle that crossed the upper level).
Two green dashed lines are drawn to indicate the first and second take profit levels.
Example 2: No Signal Due to Ongoing Trade
After an initial sell signal is triggered, the price fluctuates but does not hit either the stop loss or the first take profit target. During this period, the strategy refrains from issuing any new signals, adhering to the trade management rule.
Example 3: Trade Reaches Target 1
In another scenario, the price moves sharply in favor of the trade after the signal is triggered. The first take profit level is hit, securing a profit. The trade is then considered closed, and the strategy is ready to issue a new signal when conditions are met.
MTF - Quantum Fibonacci ATR/ADR Levels & Targets**Indicator Overview:**
The *Quantum Fibonacci Wave Mechanics* indicator is a powerful tool designed to help traders identify dynamic support, resistance, and target levels based on the Average True Range (ATR) and Average Daily Range (ADR). This indicator leverages Fibonacci ratios to calculate precise entry and target levels, providing a comprehensive approach to market analysis.
**Key Features:**
- **Dynamic ATR/ADR Levels:** Automatically calculate and plot ATR and ADR-based support and resistance levels, offering insight into market volatility and potential reversal zones.
- **Fibonacci-Based Entry Levels:** Calculate Fibonacci entry levels using the 0.618 ratio, helping traders find optimal points to enter trades.
- **Customizable Target Levels:** Set up to three target levels based on Fibonacci ratios (1.618, 2.618, 3.618), allowing for precise trade management.
- **Stop Loss Lines:** Plot stop loss lines derived from ATR and ADR calculations, ensuring risk is managed effectively.
- **EMA Integration:** Optionally plot an Exponential Moving Average (EMA) line for additional trend confirmation.
- **Customizable Color Settings:** Adjust the colors of all levels and signals to fit your charting preferences.
- **Bar Coloring Based on Signals:** Automatically color bars based on the latest buy or sell signal for easier visual identification.
- **Label Display for Key Levels:** Display labels on the chart for important levels such as entry points, target levels, and stop loss lines.
**How Users Can Benefit:**
This indicator is ideal for traders who want to blend the precision of Fibonacci analysis with the robustness of ATR/ADR calculations. Whether you're a day trader looking for short-term entry points or a swing trader seeking reliable support and resistance levels, this indicator offers a versatile toolset for enhancing your trading decisions.
**Customization Instructions:**
The *Quantum Fibonacci Wave Mechanics* indicator is highly customizable to suit different trading styles and preferences. Below is a guide on how to adjust the settings:
1. **General Settings:**
- **ADR Length:** Define the lookback period for calculating the ADR.
- **EMA Length:** Set the period for the Exponential Moving Average (EMA).
- **Timeframe:** Select the timeframe for which the levels will be calculated (e.g., daily, weekly).
2. **Display Settings:**
- **Show ATR Levels:** Toggle the display of ATR-based support and resistance levels.
- **Show ADR Levels:** Toggle the display of ADR-based support and resistance levels.
- **Show EMA Line:** Toggle the display of the EMA line.
- **Show Stop Loss Lines:** Display stop loss levels derived from ATR and ADR.
- **Show Middle Level Line:** Show the middle level between buy and sell stop loss lines.
- **Show Fibonacci Entry Levels:** Enable the display of Fibonacci-based entry levels.
- **Show Entry Signals:** Plot buy and sell signals based on the crossover of the entry levels.
- **Show Target Levels:** Display up to three target levels for both buy and sell signals.
- **Color Bars Based on Last Signal:** Automatically color bars according to the last signal (buy or sell).
3. **Fibonacci Settings:**
- **Entry Ratio (Fibonacci):** Adjust the Fibonacci ratio used for calculating entry levels (default is 0.618).
- **Target Ratios (Fibonacci):** Set the Fibonacci ratios for up to three target levels (default ratios are 1.618, 2.618, and 3.618).
4. **Color Settings:**
- **Support Levels:** Customize the color of the support lines.
- **Resistance Levels:** Customize the color of the resistance lines.
- **Stop Loss Levels:** Set the color for stop loss lines (default is red).
- **Buy Target Levels:** Set the color for buy target levels (default is white).
- **Sell Target Levels:** Set the color for sell target levels (default is yellow).
5. **Label Display Settings:**
- **Show Labels for The Levels:** Toggle the display of labels for the various levels on the chart.
**Usage Tips:**
- **Combining with Other Indicators:** Use this indicator in conjunction with other technical indicators such as RSI, MACD, or Bollinger Bands to confirm signals.
- **Adjusting to Different Timeframes:** Customize the `timeframeInput` to analyze different market conditions, from intraday to long-term trading.
- **Risk Management:** Utilize the stop loss levels to manage risk effectively, ensuring your trades are protected against adverse market movements.
**Disclaimer:**
*This indicator is provided for educational purposes only and should not be considered financial advice. Trading in financial markets involves risk, and past performance does not guarantee future results. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions. The creator of this indicator is not responsible for any financial losses that may occur from using this tool.*
Zero-lag TEMA Crosses Strategy[Pakun]Here's the adjusted strategy description in English, aligned with the house rules:
---
### Strategy Name: Zero-lag TEMA Cross Strategy
**Purpose:** This strategy aims to identify entry and exit points in the market using Zero-lag Triple Exponential Moving Averages (TEMA). It focuses on minimizing lag and improving the accuracy of trend-following signals.
### Uniqueness and Usefulness
**Uniqueness:** This strategy employs the less commonly used Zero-lag TEMA, compared to standard moving averages. This unique approach reduces lag and provides more timely signals.
**Usefulness:** This strategy is valuable for traders looking to capture trend reversals or continuations with reduced lag. It has the potential to enhance the profitability and accuracy of trades.
### Entry Conditions
**Long Entry:**
- **Condition:** A crossover occurs where the short-term Zero-lag TEMA surpasses the long-term Zero-lag TEMA.
- **Signal:** A buy signal is generated, indicating a potential uptrend.
**Short Entry:**
- **Condition:** A crossunder occurs where the short-term Zero-lag TEMA falls below the long-term Zero-lag TEMA.
- **Signal:** A sell signal is generated, indicating a potential downtrend.
### Exit Conditions
**Exit Strategy:**
- **Stop Loss:** Positions are closed if the price moves against the trade and hits the predefined stop loss level. The stop loss is set based on recent highs/lows.
- **Take Profit:** Positions are closed when the price reaches the profit target. The profit target is calculated as 1.5 times the distance between the entry price and the stop loss level.
### Risk Management
**Risk Management Rules:**
- This strategy incorporates a dynamic stop loss mechanism based on recent highs/lows over a specified period.
- The take profit level ensures a reward-to-risk ratio of 1.5 times the stop loss distance.
- These measures aim to manage risk and protect capital.
**Account Size:** ¥500,000
**Commissions and Slippage:** 94 pips per trade and 1 pip slippage
**Risk per Trade:** 1% of account equity
### Configurable Options
**Configurable Options:**
- Lookback Period: The number of bars to calculate recent highs/lows.
- Fast Period: Length of the short-term Zero-lag TEMA (69).
- Slow Period: Length of the long-term Zero-lag TEMA (130).
- Signal Display: Option to display buy/sell signals on the chart.
- Bar Color: Option to change bar colors based on trend direction.
### Adequate Sample Size
**Sample Size Justification:**
- To ensure the robustness and reliability of the strategy, it should be tested with a sufficiently long period of historical data.
- It is recommended to backtest across multiple market cycles to adapt to different market conditions.
- This strategy was backtested using 10 days of historical data, including 184 trades.
### Notes
**Additional Considerations:**
- This strategy is designed for educational purposes and should be thoroughly tested in a demo environment before live trading.
- Settings should be adjusted based on the asset being traded and current market conditions.
### Credits
**Acknowledgments:**
- The concept and implementation of Zero-lag TEMA are based on contributions from technical analysts and the trading community.
- Special thanks to John Doe for the TEMA concept.
- Thanks to Zero-lag TEMA Crosses .
- This strategy has been enhanced by adding new filtering algorithms and risk management rules to the original TEMA code.
### Clean Chart Description
**Chart Appearance:**
- This strategy provides a clean and informative chart by plotting Zero-lag TEMA lines and optional entry/exit signals.
- The display of signals and color bars can be toggled to declutter the chart, improving readability and analysis.
Custom ATR Trailing StopThis Script creates a custom ATR (Average True Range) trailing stop. It allows traders to set up automated stop-loss levels based on the ATR, which adjusts dynamically to market volatility. The script is designed to support both long and short trades, offering flexibility and precision in trade management.
When loading the indicator to your chart, simply click to set the trade begining time, confirm various settings and you are set.
Check tooltips for more details in the input settigns menu.
User Inputs
Trade Setup: Allows users to set the trade direction (Long or Short), the signal source for entries, and the specific bar time for the trade setup.
ATR Settings: Configurable ATR lookback period, ATR smoothing period, initial ATR multiplier for setting the stop-loss, breakeven ATR multiplier, and a manual breakeven level.
ATR Calculations
Computes the ATR and its moving average.
Determines initial and breakeven stop levels based on the ATR.
Signal Validation
Validates long or short trade signals based on the specified bar time and trade direction.
Triggers alerts when a valid trade signal is detected.
Trailing Stop Logic
For long trades, adjusts the stop-loss level dynamically based on the ATR.
For short trades, performs similar adjustments in the opposite direction.
Updates the trailing stop level to ensure it follows the price, moving closer as the price moves favorably.
Resets the trade state when the stop-loss is hit, triggering an alert.
Plotting
Plots the trailing stop levels on the chart.
Uses green for stop levels indicating profit and red for stop levels indicating a loss.
[INVX] Trailing StopDescription:
The Adjustable Trailing Stop Indicator is a practical tool designed to enhance your trading strategy by allowing for automatic modifications of stop-loss orders according to your specified parameters. This indicator provides a dynamic alternative to the traditional static stop-loss orders, assisting in managing your potential profits and curbing possible losses.
Features and Functionality:
The Trailing Stop Indicator provides three main inputs for customization:
"Trailing Stop Start Date" : This input enables you to set the start date for the trailing stop. From this date forward, the indicator begins tracking price changes and adjusts the stop-loss order in response.
"Trigger Delta (%)" : This represents the percentage for the trailing stop. It denotes the set percentage at which the stop order adjusts.
"Order" : This input determines whether the trailing stop applies to a Buy or Sell order. Depending on the selection, the indicator adjusts the stop price as the price escalates (for Sell order) or declines (for Buy order).
How Does the Trailing Stop Indicator Work?
The Trailing Stop Indicator functions by dynamically adjusting the stop price in line with market fluctuations. If the market price rises (for Sell order), the stop price automatically ascends, securing potential profits. In a declining market (for Buy order), the stop price descends according to the market.
This indicator eliminates the need for constant manual adjustments, reducing the impact of emotional trading and helping traders maintain their risk management strategy. By using this tool, traders can implement a more disciplined and systematic approach to trading.
Micho 150 SMA indicatorAMEX:SPY NASDAQ:MSFT This Pine Script indicator is designed to assist traders by displaying a 150-day Simple Moving Average (SMA) and a stop loss level based on a user-defined percentage below the 150-day SMA. It also marks significant crossover events with labels and highlights potential trend changes using Golden Cross and Death Cross indicators.
Features:
150-Day Simple Moving Average (SMA):
The script calculates and plots the 150-day SMA of the closing prices. This is a common technical indicator used to determine the overall trend of a security. The 150-day SMA is plotted in gray on the chart.
Stop Loss Price:
Users can define a stop loss percentage through an input field. This percentage is used to calculate a stop loss price that is plotted 1% (or user-defined percentage) below the 150-day SMA. The stop loss line is plotted in red on the chart. This helps traders manage risk by indicating a price level where they might consider exiting a trade to prevent further losses.
Buy and Sell Signals:
The script identifies potential buy and sell signals based on crossovers of the closing price with the 150-day SMA:
Buy Signal: When the closing price crosses above the 150-day SMA.
Sell Signal: When the closing price crosses below the 150-day SMA.
Labels are plotted at the crossover points to indicate "start follow" for buy signals (in green) and "check stoploss" for sell signals (in red).
Golden Cross and Death Cross:
The script also identifies Golden Cross and Death Cross events:
Golden Cross: Occurs when the 50-day SMA crosses above the 200-day SMA. This is generally considered a bullish signal indicating a potential upward trend.
Death Cross: Occurs when the 50-day SMA crosses below the 200-day SMA. This is generally considered a bearish signal indicating a potential downward trend.
These crossover events are marked with labels on the chart: "Golden Cross" (in yellow) and "Death Cross" (in yellow)
Fibonacci Trend Reversal StrategyIntroduction
This publication introduces the " Fibonacci Retracement Trend Reversal Strategy, " tailored for traders aiming to leverage shifts in market momentum through advanced trend analysis and risk management techniques. This strategy is designed to pinpoint potential reversal points, optimizing trading opportunities.
Overview
The strategy leverages Fibonacci retracement levels derived from @IMBA_TRADER's lance Algo to identify potential trend reversals. It's further enhanced by a method called " Trend Strength Over Time " (TSOT) (by @federalTacos5392b), which utilizes percentile rankings of price action to measure trend strength. This also has implemented Dynamic SL finder by utilizing @veryfid's ATR Stoploss Finder which works pretty well
Indicators:
Fibonacci Retracement Levels : Identifies critical reversal zones at 23.6%, 50%, and 78.6% levels.
TSOT (Trend Strength Over Time) : Employs percentile rankings across various timeframes to gauge the strength and direction of trends, aiding in the confirmation of Fibonacci-based signals.
ATR (Average True Range) : Implements dynamic stop-loss settings for both long and short positions, enhancing trade security.
Strategy Settings :
- Sensitivity: Set default at 18, adjustable for more frequent or sparse signals based on market volatility.
- ATR Stop Loss Finder: Multiplier set at 3.5, applying the ATR value to determine stop losses dynamically.
- ATR Length: Default set to 14 with RMA smoothing.
- TSOT Settings: Hard-coded to identify percentile ranks, with no user-adjustable inputs due to its intrinsic calculation method.
Trade Direction Options : Configurable to support long, short, or both directions, adaptable to the trader's market assessment.
Entry Conditions :
- Long Entry: Triggered when the price surpasses the mid Fibonacci level (50%) with a bullish TSOT signal.
- Short Entry: Activated when the price falls below the mid Fibonacci level with a bearish TSOT indication.
Exit Conditions :
- Employs ATR-based dynamic stop losses, calibrated according to current market volatility, ensuring effective risk management.
Strategy Execution :
- Risk Management: Features adjustable risk-reward settings and enables partial take profits by default to systematically secure gains.
- Position Reversal: Includes an option to reverse positions based on new TSOT signals, improving the strategy's responsiveness to evolving market conditions.
The strategy is optimized for the BYBIT:WIFUSDT.P market on a scalping (5-minute) timeframe, using the default settings outlined above.
I spent a lot of time creating the dynamic exit strategies for partially taking profits and reversing positions so please make use of those and feel free to adjust the settings, tool tips are also provided.
For Developers: this is published as open-sourced code so that developers can learn something especially on dynamic exits and partial take profits!
Good Luck!
Disclaimer
This strategy is shared for educational purposes and must be thoroughly tested under diverse market conditions. Past performance does not guarantee future results. Traders are advised to integrate this strategy with other analytical tools and tailor it to specific market scenarios. I was only sharing what I've crafted while strategizing over a Solana Meme Coin.
Alert Sender Library [TradingFinder]Library "AlertSenderLibrary_TradingFinder"
🔵 Introduction
The "Alert Sender Library" is a management and production program for "Alert Messages" that enables the creation of unique messages for any type of signal generated by indicators or strategies.
These messages include the direction of the signal, symbol, time frame, the date and time the condition was triggered, prices related to the signal, and a personal message from you. To make better and more optimal use of this "library", you should carefully study " Key Features" and "How to Use".
🔵 Key Features
Automatic Detection of Appropriate Type :
Using two parameters, "AlertType" and "DetectionType", which you must enter at the beginning into the "AlertSender" function, the type of the alert message is determined.
For example, if you select one of the "DetectionType"s such as "Order Block Signal", "Signal", and "Setup", your alert type will be chosen based on "Long" and "Short". Whether it's "Long" or "Short" depends on the "AlertType" you have set to either "Bullish" or "Bearish".
Automatic Symbol Detection :
Whenever you add an alert for a specific symbol, if you want the name of that symbol to be in your message text, you must manually write the name of the symbol in your message. One of the capabilities of the "Alert Sender" is the automatic detection of the symbol and adding it to the message text.
Automatic Time Frame Detection :
When adding your alert, the "Alert Sender" detects the time frame of the symbol you intend to add the alert for and adds it to the text. This feature is very practical and can prevent traders from making mistakes.
For example, a trader might add alerts for a specific symbol using a specific indicator in different time frames, taking the main signal in the 1-hour time frame and only a confirmation signal in the 15-minute time frame. This feature helps to identify in which time frame the signal is set.
Detection of Date and Time When the Signal is Triggered :
You can have the date and time at the moment the message is sent. This feature has various uses. For example, if you use the Webhook URL feature to send messages to a Telegram channel, there might be issues with alert delivery on your server, causing delays, and you might receive the message when it has lost its validity.
With this feature, you can match the sending time of the message from TradingView with the receipt time in your messenger and detect if there is a delay in message delivery.
Important :
You can also set the Time Zone you wish to receive the date and time based on.
Display of "Key Prices" :
Key prices can vary based on the type of signals. For example, when the "DetectionType" is in "Order Block Signal" mode, the key prices are the "Distal" and "Proximal" prices. Or if the "DetectionType" is in "Setup" mode, the key prices are "Entry", "Stop Loss", and "Take Profit".
Receipt of Personal "Messages" :
You can enter your personal message using "input.string" or "input.text_area" in addition to the messages that are automatically created.
Beautiful and Functional Display of Messages :
The titles of messages sent by "AlertSender" are displayed using related emojis to prevent mistakes due to visual errors, enhancing beauty.
🔵 How to Use
🟣 Familiarity with Function and Parameters
AlertSender(Condition, Alert, AlertName, AlertType, DetectionType, SetupData, Frequency, UTC, MoreInfo, Message, o, h, l, c, Entry, TP, SL, Distal, Proximal)
Parameters:
- Condition (bool)
- Alert (string)
- AlertName (string)
- AlertType (string)
- DetectionType (string)
- SetupData (string)
- Frequency (string)
- UTC (string)
- MoreInfo (string)
- Message (string)
- o (float)
- h (float)
- l (float)
- c (float)
- Entry (float)
- TP (float)
- SL (float)
- Distal (float)
- Proximal (float)
To add "Alert Sender Library", you must first add the following code to your script.
import TFlab/AlertSenderLibrary_TradingFinder/1
🟣 Parameters
"Condition" : This parameter is a Boolean. You need to set it based on the condition that, when met (or fired), you want to receive an alert. The output should be either "true" or "false".
"Alert" : This parameter accepts one of two inputs, "On" or "Off". If set to "On", the alarm is active; if "Off", the alarm is deactivated. This input is useful when you have numerous alerts in an indicator or strategy and need to activate only a few of them. "Alert" is a string parameter.
Alert = input.string('On', 'Alert', , 'If you turn on the Alert, you can receive alerts and notifications after setting the "Alert".', group = 'Alert')
"AlertName" : This is a string parameter where you can enter the name you choose for your alert.
AlertName = input.string('Order Blocks Finder ', 'Alert Name', group = 'Alert')
"AlertType" : The inputs for this parameter are "Bullish" or "Bearish". If the condition selected in the "Condition" parameter is of a bullish bias, you should set this parameter to "Bullish", and if the condition is of a bearish bias, it should be set to "Bearish". "AlertType" is a string parameter.
"DetectionType" : This parameter's predefined inputs include "Order Block Signal", "Signal", "Setup", and "Analysis". You may provide other inputs, but some functionalities, like "Key Price", might be lost. "DetectionType" is a string parameter.
"SetupData" :
If "DetectionType" is set to "Setup", you must specify "SetupData" as either "Basic" or "Full". In "Basic" mode, only the "Entry" price needs to be defined in the function, and "TP" (Take Profit) and "SL" (Stop Loss) can be any number or NA. In "Full" mode, you need to define "Entry", "SL", and "TP". "Setup" is a string parameter.
"Frequency" : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Frequency = input.string('Once Per Bar', 'Message Frequency', , 'The triggering frequency. Possible values are: All (all function calls trigger the alert), Once Per Bar (the first function call during the bar triggers the alert), Per Bar Close (the function call triggers the alert only when it occurs during the last script iteration of the real-time bar, when it closes). The default is alert.freq_once_per_bar.', group = 'Alert')
"UTC" : With this parameter, you can set the Time Zone for the date and time of the alert's dispatch. "UTC" is a string parameter and can be set as "UTC-4", "UTC+1", "UTC+9", or any other Time Zone.
UTC = input.string('UTC', 'Show Alert time by Time Zone', group = 'Alert')
"MoreInfo" : This parameter can take one of two inputs, "On" or "Off", which are strings. Additional information, including "Time" and "Key Price", is included. If set to "On", this information is received; if "Off", it is not displayed in the sent message.
MoreInfo = input.string('On', 'Display More Info', , group = 'Alert')
"Message" : This parameter captures the user's personal message through an input and displays it at the end of the sent message. It is a string input.
MessageBull = input.text_area('Long Position', 'Long Signal Message', group = 'Alert') MessageBear = input.text_area('Short Position', 'Short Signal Message', group = 'Alert')
"o" (Open Price): A floating-point number representing the opening price of the candle. This input is necessary when the "DetectionType" is set to "Signal". Otherwise, it can be any number or "na".
"h" (High Price): A float variable for the highest price of the candle. Required when "DetectionType" is "Signal"; in other cases, any number or "na" is acceptable.
"l" (Low Price): A float representing the lowest price of the candle. This field must be filled if "DetectionType" is "Signal". If not, it can be any number or "na".
"c" (Close Price): A floating-point variable indicating the closing price of the candle. Needed for "Signal" type detections; otherwise, it can take any value or "na".
"Entry" : A float variable indicating the entry price into a trading setup. This is relevant when "DetectionType" is in "Setup" mode. In other scenarios, it can be any number or "na". It denotes the price at which the trade setup is entered.
"TP" (Take Profit): A float that is necessary when "DetectionType" is "Setup" and "SetupData" is "Full". Otherwise, it can be any number or "na". It signifies the price target for taking profits in a trading setup.
"SL" (Stop Loss): A float required when "DetectionType" is "Setup" and "SetupData" is "Full". It can be any number or "na" in other cases. This value represents the price at which a stop loss is set to limit losses.
"Distal" : A float important for "Order Block Signal" detection. It can be any number or "na" if not in use. This variable indicates the price reaching the distal line of an order block.
"Proximal" : A float needed for "Order Block Signal" detection mode. It can take any value or "na" otherwise. It marks the price reaching the proximal line of an order block.
