Xen's Flag Pattern Scalper1. Input Parameters:
FlagLength: Determines the length of the flag pattern.
TakeProfit1Ratio, takeProfit2Ratio, takeProfit3Ratio: Define the ratios for calculating
the take-profit levels relative to the entry price.
RiskRewardRatio: Specifies the risk-reward ratio for calculating the stop-loss level
relative to the entry price.
2 Flag Conditions:
BullishFlag: Checks if the current bar meets the conditions for a bullish flag pattern. It
evaluates to true if the low of the current bar is lower than the low flagLength bars
ago, and the close of the current bar is higher than the high flagLength bars ago.
BearishFlag: Checks if the current bar meets the conditions for a bearish flag pattern. It evaluates to true if the high of the current bar is higher than the high flagLength bars
ago, and the close of the current bar is lower than the low flagLength bars ago.
3. Entry Price:
EntryPrice: Calculates the entry price based on whether a bullish or bearish flag
pattern is identified. For a bullish flag, the entry price is set to the low of the current bar.
For a bearish flag, the entry price is set to the high of the current bar.
4. Stop Loss:
StopLoss: Determines the stop-loss level based on the entry price and the specified
riskRewardRatio . For a bullish flag, the stop-loss level is calculated by subtracting the
difference between the high and low of the current bar multiplied by the riskRewardRatio from the low of the current bar. For a bearish flag, the stop-loss level
is calculated similarly but added to the high of the current bar.
5. Take Profit Levels:
Three take-profit levels ( takeProfit1, takeProfit2, takeProfit3 ) are calculated based on
the entry price, stop-loss level, and specified take-profit ratios ( takeProfit1Ratio,
takeProfit2Ratio, takeProfit3Ratio ).
6. Plotting Signals and Levels:
Bullish and bearish flag patterns are plotted using triangle shapes ( shape.triangleup for
bullish and shape.triangledown for bearish) above or below the bars, respectively.
Entry, stop-loss, and take-profit levels are plotted using horizontal lines ( line.new )
with different colors and styles. Entry and stop-loss levels are labeled with "Entry" and "SL",
respectively, while take-profit levels are labeled with "TP 1", "TP 2", and "TP 3".
The colors for bullish flags are white for entry, red for stop-loss, and green for take-profit levels. For bearish flags, the colors are the same, but the labels are plotted above the bars.
7. Label Placement:
Labels for entry, stop-loss, and take-profit levels are placed a distance of 4 bars to the right
of the entry price using bar_index + 4 .
This indicator is intended to help traders identify flag patterns on price charts and visualize potential entry, stop-loss, and take-profit levels associated with these patterns.
Please use risk management and when TP1 is hit, move stoploss to breakeven .
Cari dalam skrip untuk "stop loss"
Liquidation Longs/Shorts [UAlgo]🔶Description:
The "Liquidation Longs/Shorts " indicator is designed to identify potential liquidation levels for long and short positions. It calculates the distance of the selected price source (close, high, low, or open) from two moving averages (MA) and plots the resulting values on the chart. When the price is at an extreme distance from the moving averages, it suggests a potential liquidation point for either long or short positions.
🔶Key Features:
Liquidation Calculations: The indicator calculates the distance of the selected price source from two moving averages: a simple moving average (SMA) and an exponential moving average (EMA) with customizable lengths.
Color Customization: Users can customize the colors of the plotted columns representing the distance from the moving averages for long and short liquidation levels.
Liquidation Circles: The indicator marks potential liquidation levels with small circles on the chart, with customizable colors for long and short liquidations.
Orange Circles -> Identifies Potential Short Liquidations
Aqua Circles -> Identifies Potential Long Liquidations
Example:
Adaptive Source Selection: Traders can select the price source (close, high, low, or open) for liquidation calculations, allowing flexibility based on their trading strategies.
Dynamic Threshold Calculation: The indicator dynamically adjusts the liquidation threshold based on the selected moving average lengths, providing adaptability to changing market conditions.
Disclaimer:
Use with Caution: This indicator is provided for educational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
This indicator serves as a tool to assist traders in identifying potential liquidation levels, but it should be used in conjunction with other technical analysis tools and risk management practices for effective trading decision-making.
FreedX Backtest█ Our strategy template empowers TradingView users to effortlessly backtest any indicator, enhancing their trading strategy's effectiveness. In addition, users can create automated webhook alerts from the template. This document details our template's features and how to utilize them effectively.
█ TRADE DATE SETTINGS
The Trading Date Settings feature in our TradingView script allows you to refine their backtesting parameters by specifying trading dates and hours. This feature enhances the accuracy of the backtest by aligning it with specific time frames and days, ensuring that the strategy is tested under relevant market conditions.
Features:
⚙️ Enable Trading Between Specific Dates:
🎯 Purpose:
→ Allows you to limit the backtesting of their strategy to a specific date range.
💡 How to Use:
→ Input the Start Date and End Date for the backtest period.
→ The script will execute the strategy only within this specified date range.
⚙️ Enable Trading Between Specific Hours:
🎯 Purpose:
→ Allows you to limit the backtesting of their strategy to a specific hour range.
💡 How to Use:
→ Input the start and end hour for in Trading Session section.
→ The script will execute the strategy only within this specified hour range.
⚙️ Enable Trading on Specified Days of the Week:
🎯 Purpose:
→ Gives you the option to conduct backtesting on selected days of the week, tailoring the strategy to particular market behaviours that may occur on these days.
💡 How to Use:
→ Select the days of the week for the backtest.
→ The script will activate the trading strategy only on these chosen days.
█ BUY/SELL TRIGGER SETTINGS
The Buy/Sell Trigger Settings feature is designed to provide users with flexibility in defining the conditions for 'LONG' and 'SHORT' signals based on various indicator types. This customization is crucial for tailoring strategies to different trading styles and market conditions.
Features:
⚙️ Single-Line Plotted Indicators :
🎯 Purpose:
→ Enables you to select a single-line plotted indicator as a source for backtesting. You can define specific levels to trigger 'LONG' or 'SHORT' signals.
💡 How to Use:
→ Choose a Single-Line Plotted indicator as the source.
→ Set the top and bottom levels for the indicator.
→ The script triggers 'LONG' signals at the bottom level and 'SHORT' signals at the top level.
⚙️ Two-Line Plotted Indicators :
🎯 Purpose:
→ Allows backtesting with two-line cross plot sources. Signals are generated based on the crossover of these lines.
💡 How to Use:
→ Select two lines as 'Source 1' and 'Source 2' for the indicator.
→ The script triggers a 'LONG' signal when 'Source 1' crosses above 'Source 2'.
→ Conversely, a 'SHORT' signal is triggered when 'Source 2' crosses above 'Source 1'.
⚙️ Custom Signals :
🎯 Purpose:
→ This setting enables users to define their own criteria for LONG, SHORT, and CLOSE signals based on custom indicator outputs.
💡 How to Use:
→ Select the custom source for your signals.
→ Define the output values that correspond to each signal type (e.g., “1” for 'LONG', “-1” for SHORT, and “0” for CLOSE).
→ The script will trigger signals according to these custom-defined values.
█ TP/SL SETTINGS
The TP/SL (Take Profit/Stop Loss) Settings feature is designed to give users control over their profit securing and risk mitigation strategies. This feature allows for setting custom TP and SL levels, which can be critical in managing trades effectively.
Features:
Custom TP/SL Levels for Long/Short Signals:
🎯 Purpose:
→ Enables users to set specific percentage levels for Take Profit and Stop Loss on long and short signals.
💡 How to Use:
→ In the TP/SL Settings, input the desired percentage for Take Profit (TP) and Stop Loss (SL).
→ For example, to secure a profit at a 10% price increase on LONG signals, set the “Long TP Percentage” to “10”.
█ STRATEGY SETTINGS
Strategy Settings provide a range of options to customize the trading strategy. These settings include leverage, drawdown limits, position direction changes, and more, allowing users to tailor their strategy to their risk tolerance and market view.
Features:
⚙️ Enable Leverage :
🎯 Purpose:
→ Allows users to apply leverage to their trades.
☢️ Caution:
→ High leverage can significantly increase the risk of liquidation.
→ High leverage and a high stop-loss price may override your fixed stoploss percentage, adjusting the stop-loss to the liquidation price.
💡 How to Use:
→ Set the desired leverage ratio in the Strategy Settings.
⚙️ Enable Drawdown Limit:
🎯 Purpose:
→ Sets a maximum drawdown limit, automatically halting the strategy if this limit is reached, thereby controlling risk.
💡 How to Use:
→ Input the maximum drawdown limit (default: 100, min: 0, max: 100).
⚙️ Enable Reverse Position:
🎯 Purpose:
→ Automatically closes a current position and opens a new one in the opposite direction upon detecting a signal for a market trend change.
🎯 Example:
→ If a LONG signal is received while in a SHORT position, the script will close the SHORT position and open a LONG position.
💡 How to Use:
→ Activate this feature in the Strategy Settings.
⚙️ Enable Spot Mode:
🎯 Purpose:
→ Disables short orders, using short signals only for closing long positions.
💡 How to Use:
→ Select the 'Spot Mode' option in the Strategy Settings.
⚙️ Enable Invert Signals:
🎯 Purpose:
→ Inverts all indicator signals, changing LONG signals to SHORT and vice versa.
💡 How to Use:
→ Opt for the 'Invert Signals' feature in the Strategy Settings.
⚙️ Enable Trailing Stop:
🎯 Purpose:
→ Triggers a trailing stop order on the exchange instead of a standard stop market order.
☢️ Caution:
→ The backtesting of this feature on TradingView may not accurately reflect actual strategy performance due to discrepancies between TradingView and exchange mechanisms.
💡 How to Use:
→ Select 'Trailing Stop' in the Strategy Settings.
█ ADVANCED STRATEGY SETTINGS
Advanced Strategy Settings offer sophisticated methods for managing Stop Loss (SL) and Take Profit (TP) using the Average True Range (ATR). These settings are ideal for traders who want to incorporate volatility into their exit strategies.
Features:
⚙️ Enable ATR Stop Loss:
🎯 Purpose:
→ Automatically sets the Stop Loss price using the Average True Range at the time of entry.
💡 How to Use:
→ Activate 'ATR Stop Loss' to have the SL price calculated based on the current ATR.
⚙️ Enable ATR Take Profit:
🎯 Purpose:
→ Sets the Take Profit price based on the Average True Range at the time of entry.
💡 How to Use:
→ Choose 'ATR Take Profit' for TP price determination using ATR.
⚙️ Enable ATR Trailing Stop:
🎯 Purpose:
→ Dynamically updates the Stop Loss price with each new bar, according to the Average True Range.
💡 How to Use:
→ Activate 'ATR Trailing Stop'.
→ Set the ATR Period to define the number of bars for ATR calculation.
→ Adjust the ATR SL Multiplier to determine the stop loss distance.
→ Modify the ATR TP Multiplier for setting the take profit distance.
█ TREND FILTERING SETTINGS
Trend Filtering Settings are designed to align trading strategies with the prevailing market trend, enhancing the precision of trade entries and exits. These settings utilize moving averages for trend analysis and decision-making.
Features:
⚙️ Enable Trend Filtering:
🎯 Purpose:
→ Limits trades based on moving average trends, blocking short trades in an uptrend and vice versa.
💡 How to Use:
→ Enable 'Trend Filtering'.
→ Set Fast and Slow MA Lengths for trend analysis.
→ Select the Timeframe for moving averages.
→ Choose the Moving Average Type for trend filtering.
🎯 Note:
→ Be cautious with timeframe selections; lower timeframes than the base may cause inconsistencies.
⚙️ Enable Exit on Trend Reversal:
🎯 Purpose:
→ Automatically closes a position when a market trend reversal is detected.
💡 How to Use:
→ Turn on 'Exit on Trend Reversal' in the settings.
⚙️ Enable Trend Drawing On Chart:
🎯 Purpose:
→ Visually represents the trend filter directly on the chart for easy reference.
💡 How to Use:
→ Activate 'Trend Drawing On Chart' to see the trend filter overlaid on the trading chart.
█ AUTOMATED ALERT SETTINGS
Automated Alert Settings are designed to integrate your TradingView script with webhook alerts. These settings allow for enhanced strategy execution and management.
Features:
Enable Webhook Alerts:
🎯 Purpose:
→ Trigger BUY, SELL, CHANGE_DIRECTION or MOVE_STOP_LOSS .
💡 How to Use:
→ Enable 'Webhook Alerts' in the settings.
→ Enter your Strategy ID.
→ Optionally, activate 'Override Allocation Percentage' to bypass the preset allocation percentage.
☢️ Caution:
→ Overriding the allocation percentage may result in trade entry errors due to misalignment between entry cost and available balance.
█ DEBUGGING SETTINGS
Debugging Settings are crucial for users who want to analyze and optimize their strategies. These settings provide tools for visualizing alerts on charts and accessing detailed data outputs.
Features:
⚙️ Enable Alert Plotting:
🎯 Purpose:
→ Allows users to visualize trading alerts directly on the chart, aiding in strategy analysis and refinement.
💡 How to Use:
→ Activate 'Alert Plotting' to draw alerts on the chart.
☢️ Caution:
→ It is recommended to disable this feature when creating actual trading alerts, as it can cause latency in signal processing.
⚙️ Enable Debugger Mode:
🎯 Purpose:
→ Facilitates strategy debugging by providing detailed data output in the TradingView Data Window.
💡 How to Use:
→ Turn on 'Debugger Mode' to access real-time data and metrics relevant to your strategy.
█ ADDITIONAL SETTINGS
⚙️ Enable Bar Magnifier
⚙️ Enable Using standard OHLC
Contrarian Donchian Channel Indicator with Alerts and VisualsTitle: Contrarian Donchian Channel Indicator with Alerts and Visuals
Description:
The Contrarian Donchian Channel Indicator is designed for traders who seek to implement a contrarian approach using the time-tested Donchian Channel method. This indicator not only signals potential entry points but also enhances trading visualization by marking hypothetical stop loss and take profit levels.
Key Features:
Donchian Channel Signals: Utilizes the Donchian Channel to identify potential reversal points in the market. The indicator generates buy signals when the price touches or breaches the lower band, suggesting a potential upward reversal. Conversely, sell signals are generated when the price touches or exceeds the upper band, indicating a possible downward reversal.
Pause After Stop Loss: Incorporates a unique feature that pauses signal generation for a user-defined number of candles after a stop loss is hit. This helps in avoiding immediate re-entries in volatile market conditions.
Stop Loss and Take Profit Visualization: For each signal, the indicator draws dashed lines on the chart to represent the hypothetical stop loss (red) and take profit (green) levels. These levels are calculated based on user-input percentages for stop loss and the risk-reward ratio.
Alerts for Entry Signals: Traders can set up alerts for buy and sell signals, allowing them to stay informed of potential trading opportunities.
How to Use:
Entry Signal: A triangle symbol (green for buy, red for sell) accompanied by an alert (if set) indicates a potential entry point.
Stop Loss and Take Profit Lines: Use the drawn lines as a guide for setting stop loss and take profit levels if the signal aligns with your trading strategy.
Pause Feature: After a stop loss is triggered, observe the pause period before considering new signals to avoid overtrading in choppy markets.
Suitable For:
Traders who prefer a contrarian approach.
Those who use Donchian Channels as part of their trading strategy.
Traders who appreciate visual aids for better decision-making.
Customization Options:
Length of the Donchian Channel.
Risk/Reward Ratio.
Stop Loss Percentage.
Pause duration after a stop loss is hit.
DISCLAIMER:
This indicator is intended for educational and informational purposes only and should not be construed as financial advice. Trade responsibly and always consider your risk tolerance and investment objectives.
Cloud Channel Signals Indicator [Quantigenics]The Cloud Channel Signals script is a key element of the Cloud Channel Signal System. It primarily focuses on identifying breakout and reversal trades through a sophisticated cloud channel overlay. The script, designed for overlay on the price portion of charts, displays a “cloud-like” channel that signals potential breakout and reversal points around the candles/bars, offering insights into price movements, volatility, and potential support or resistance zones at the outer bands of the channel.
As with all of our scripts, the "Cloud Channel Signals" script, is designed to work on ANY symbol and time frame. The input parameters can be adjusted to fit your specific trading style.
Technical Composition :
Cloud Channel Construction : The Cloud Channel Signals Script is characterized by its innovative Cloud Channel, a proprietary formulation that advances beyond traditional channel calculations. This channel is not a mere adaptation of Bollinger Bands or Donchian Channels; it sets itself apart through a complex blend of calculations. While incorporating elements like standard deviation and high/low price ranges, it notably introduces EMA-based adjustments and integrates intricate mathematical models. This sophisticated algorithmic approach results in a channel that adeptly marks price extremes and dynamically adapts to market volatility and trend shifts. Enhanced by advanced statistical methods, the Cloud Channel offers nuanced insights into market behavior. Its configuration is based on specific range calculations derived from price fluctuations over a defined period, paired with an evolved standard deviation method. This results in a multifaceted analytical tool that surpasses typical channel indicators in depth and sophistication, providing traders with a comprehensive, nuanced view of support and resistance areas.
Signal Generation Mechanism :
> Breakout Signals :
The script identifies breakout signals by assessing price crossover relative to a dynamically constructed channel. This channel is derived from a blend of moving averages and price extremes over a specified period. Oscillator crossovers aid in confirming breakout signals. These crossovers are determined by comparing the oscillator line, calculated as a difference between a transformed moving average and a kernel estimation, with a signal line derived from an exponential moving average of the oscillator.
> Reversal Signals :
Reversal signals are generated through mathematical analysis of price proximity to the channel's edges, which are calculated using a combination of EMA (Exponential Moving Average) values and the highest/lowest price points within a given time frame. The oscillator's role in identifying reversals involves assessing its value relative to its historical range, which is dynamically adjusted based on market conditions.
Oscillator Dynamics :
The oscillator is constructed using a combination of rational quadratic and Gaussian kernel functions applied to close prices. The length parameter of the oscillator controls the window of these calculations, impacting its responsiveness. The dynamic level adjustment in the oscillator is based on a calculated average of its peak and trough values over a specified period, offering adaptive sensitivity.
Channel Gradient Smoothness :
The gradient smoothness of the channel is a function of the variance between the channel's upper and lower bounds. This is visually represented through color intensity changes, reflecting the level of volatility and market momentum.
Trend Bias Assessment :
Trend Bias is calculated using a combination of high/low averages and smoothed price data. This involves taking the average of the highest and lowest prices over a specified length, then applying an exponential moving average to this average for trend direction assessment. This mathematical assessment of trend direction complements the breakout and reversal signals by aligning them with the prevailing market trend.
How to Use the Cloud Channel Signals System :
Usage Considerations:
The script must be configured with precision to ensure it aligns with the trader’s strategy. This involves meticulous setting of channel lengths, oscillator parameters, and trend bias length. For effective application, it’s essential to synchronize the input parameters with the companion "Cloud Channel Indicators" script, ensuring a unified analytical perspective. The option to choose real-time vs. post-bar-closure signal generation offers flexibility in trading styles, catering to both aggressive and conservative trading approaches.
Integration with Cloud Channel Indicators script :
> Use the "Cloud Channel Signals" script alongside the "Cloud Channel Indicators" script for comprehensive market analysis. Ensure identical input parameters across both scripts for consistency.
> Note: The lower indicators are from the 'Cloud Channel Indicators' script, complementing the 'Cloud Channel Signals' script seen here, which generates the 'cloud' and signals on the price chart.
> The 'Cloud Channel Indicators” script can be found here:
Understanding On-Chart Signals :
The script displays entry signals directly on the chart, offering visual cues for both breakout and reversal trading opportunities. Traders can toggle the display of these signals for either breakout or reversal trades, allowing customization based on their trading strategy.
Identifying Entry Points :
> Breakout Trades : Enable 'Show Break Out Trades' to view signals where the price crosses the cloud channel, coupled with oscillator crossovers. A bullish breakout is indicated when the price crosses above the top channel, and a bearish breakout when it crosses below the bottom channel.
> Reversal Trades : Activate 'Show Reversal Trades' to identify potential reversal points. These are highlighted when the price rebounds from the cloud channel's edges, supported by oscillator and trend bias indicators.
Setting Stop Losses Using Outer Bands : Employ the outer bands of the cloud channel as dynamic stop-loss levels. Position stop losses below the lower band for long trades and above the upper band for short trades, adjusting as the bands shift with market conditions.
Executing and Managing Trades : Enter trades based on the script’s breakout or reversal signals, in line with your risk management rules.
Adjust stop-loss levels : Adjust stop-loss levels according to the outer band movements and exit the trade based on reversal signals or profit targets determined by significant support or resistance levels indicated by the cloud channel.
Customizable Alerts for Trading Efficiency :
Set up TradingView alerts to notify you of crucial trading signals like breakout or reversal opportunities, or when the price reaches critical levels defined by the cloud channel.
Adapting Strategy to Market Dynamics:
Input Parameter Settings :
Important Usage Guidance : For seamless integration with its counterpart, the "Cloud Channel Indicators" script, it's crucial to align the input parameter settings across both scripts. When adjusting values from their defaults, ensure that corresponding parameters in both scripts are identically set. This synchronization is key to achieving a cohesive and accurate representation on your charts.
Intra-Bar Order Generation (IntraBar) : Allows traders to choose if signals are generated within the current bar (real-time) or after the bar closes, providing flexibility in signal timing.
Show Break Out/Reversal Trades (BreakOutTrades, ReversalTrades) : Enables traders to toggle the visibility of specific trade types - breakout or reversal trades - on the chart.
Show Text Labels (ShowSignalLabels) : Option to display text labels for signals, enhancing the clarity and readability of the chart.
Inner/Outer Channel Length (InnerChannelLength, OutterChannelLength) : Sets the calculation periods for the inner and outer channels, affecting the sensitivity and responsiveness of the cloud channel.
Oscillator Length (OscillatorLength) : Determines the length for the precision oscillator calculation, impacting its sensitivity to market movements.
Top/Bottom Level (TopLevel, BottomLevel) : Establishes the upper and lower bounds for the oscillator, used to identify overbought and oversold conditions.
Use Dynamic Level (Dynamic_Level_OnOff) : Provides an option to use dynamic levels in the oscillator, for a more adaptive and responsive analysis.
Trend Bias Length (TrendBiasLength) : Adjusts the period for the Trend Bias calculation, crucial for understanding the overall market trend.
Top/Bottom Channel Color (TopChannelColor, BottomChannelColor) : Customization options for the color of the top and bottom channels.
Smoothness of The Gradient (Smoothness) : Controls the smoothness level of the channel's gradient, allowing for visual customization.
Alert Setting Guidance :
The script includes a versatile alert system for notifying traders of critical trading signals:
Breakout and Reversal Trade Alerts : These alerts are activated for breakout and reversal signals based on the script’s analysis, which can be crucial for timely entries and exits.
Custom Alert Conditions : Traders can set up alerts in TradingView’s system to get notified under specific conditions, like when a new signal (arrow up/down) appears on the chart, tailoring the alerts to their trading strategies.
The "Cloud Channel Signals " script offers a valuable tool for traders looking to capitalize on breakout and reversal opportunities. Its advanced channel and oscillator settings, combined with customizable alert options, make it a valuable addition to any trader's arsenal. Users are encouraged to explore these settings to fully leverage the script's capabilities, keeping in mind that trading involves risks and past performance does not guarantee future results. For optimal results, this script is designed to be used in conjunction with the "Cloud Channel Indicators .
You can see the “Author’s instructions" below to get immediate access to Cloud Channel Signals Indicators & the rest of the “Quantigenics Premium Indicator Suite”.
London BreakOut ClassicHey there, this is my first time publishing a strategy. The strategy is based on the London Breakout Idea, an incredibly popular concept with abundant information available online.
Let me summarize the London Breakout Strategy in a nutshell: It involves identifying key price levels based on the Tokyo Session before the London Session starts. Typically, these key levels are the high and low of the previous Tokyo session. If a breakout occurs during the London session, you simply follow the trend.
The purpose of this code
After conducting my research, I came across numerous posts, videos, and articles discussing the London Breakout Strategy. I aimed to automatically test it myself to verify whether the claims made by these so-called trading gurus are accurate or not. Consequently, I wrote this script to gain an understanding of how this strategy would perform if I were to follow its basic settings blindly.
Explanation of drawings on the chart:
Red or Green Box: A box is drawn on our chart displaying the exact range of the Tokyo trading session. This box is colored red if the trend during the session was downward and green if it was upward. The box is always drawn between the high and the low between 0:00 AM and 7:00 AM UTC. You can change the settings via the Inputs "Session time Tokyo" & "Session time zone".
Green Background: The green background represents the London trading session. My code allows us to make entries only during this time. If we haven't entered a trade, any pending orders are canceled. I've also programmed a timeout at 11 pm to ensure every trade is closed before the new Tokyo session begins.
Red Line: The red line is automatically placed in the middle of our previous Tokyo range. This line acts as our stop loss. If we cross this line after entering a trade but before reaching our take profit, we'll be stopped out.
When do we enter a trade?
We wait for a candle body to close outside of the previous Tokyo range to enter a trade with the opening of the next candle. We only enter one trade per day.
Where do we put our Take Profit?
The code calculates the exact distance between our entry point and the stop loss. We are trading a risk-reward ratio of 1:1 by default, meaning our take profit is always the same number of pips away from our entry as the stop loss. The Stop Loss is always defined by the red line on the chart. You can change the risk-reward ratio via the inputs setting "CRV", to see how the result changes.
What is the purpose of this script?
I wanted to backtest the London breakout strategy to see how it actually works. Therefore, I wrote this code so that everybody can test it for themselves. You can change the settings and see how the result changes. Typically, you should test this strategy on forex markets and on either 1Min, 5 Min, or 15 Min timeframe.
What are the results?
Over the last 3-6 months (over 100 trades), trading the strategy with my default settings hasn't proven to be very successful. Consequently, I do not recommend trading this strategy blindly. The purpose of this code is to provide you with a foundation for the London Breakout Strategy, allowing you to modify and enhance it according to your preferences. If you're contemplating whether to give it a try, you can assess the results from the past months by using this code as a starting point.
IchiBot - [SigmaStreet]
The IchiBot Indicator has been used to develop automated trading systems. It leverages the open-source Ichimoku framework provided by Trading View, to enable users to creatively generate over 1 trillion different combinations of trading conditions with the use of multiple timeframes to create unique “signal labels” that can be used to create custom strategies or provide in depth market analysis. At the end of this description, I have provided an example of input settings for a simple scalping strategy that I have back tested on US30 on the 5 minute timeframe.
Overview of the Settings:
The visuals section includes an option to show or hide certain parts of the indicator and change the size of the signal labels plotted on the chart.
Next to the “Signal color on baseline/candles” section, you can choose if you want to see additional signals generations from the most previous plotted label on a color changing baseline, or color changing candles. A color change from gray to blue/red indicate that the conditions from the most previously plotted signal label have been met again.
The next 5 sections are all related to the strategy portion of the indicator, used to aid in the back testing process. These sections are titled “Stop loss”, “Take Profit”, “Trail Stop”, “Trade Settings” and “Trade Schedule”.
The Stop Loss section includes an option to choose between value of “pts”, “atr” (average true range) or “None”. The stop loss value in “pts” is simply a specified number of points or pips from the current entry price of a trade that are input in the “SL” section. If the stop loss type is “atr” the “SL” section is not used and the value is calculated and displaced from the current entry price of a trade based on the atr period multiplied by the atr multiplier.
The take profit section is based on the same logic as the stop loss.
The Trail Stop section includes an option to choose between values “pts” or “None”. If the Trail Stop value is “pts”, a trailing stop loss is activated if a trade moves a point value into profit that exceeds the value of the “Trail Activation”. If the Trail Offset type is “pts”, the trailing stop loss is placed a point value away from the current price that is equal to the “Trail Offset” value.
The trade settings section has two options to either prevent or allow trade reversals and prevent or allow only 1 trade per signal label.
If the “Don’t allow trade reversals” is on, then a currently active trade can not be cancelled by an opposite trade signal. It can only be cancelled by the exit logic selected in the above sections. If the “One trade per signal” is selected, the strategy will only enter a trade if the most recent signal label is different from the last signal label where a trade was entered, or if the most recent signal label is in the opposite direction of the most recent signal label where a trade was entered.
The trade schedule section includes an option to only generate signal labels during the specified time. You can choose between 24/7 which will generate signals without any time restriction, or you can choose a custom time which is based on the America / New York time zone.
The timeframe settings section includes an option to choose “single” or “multiple” timeframes, as well as an option to show every signal label combination (“all”), or only the signal labels with the highest numerical value (“absolute”).
If you select “single” next to “timeframe”, the indicator will show you labels based on trade conditions met from only 1 selected timeframe. If you select “multiple” next to “timeframe”, the indicator is designed to return signal labels based on trade conditions that have been met on at least 2 different timeframes.
If you select “multiple” and “use current timeframe”, the indicator will include labels that always include a minimum of 2 timeframes where 1 timeframe is always the current timeframe. If you unselect the “use current timeframe”, the indicator will include labels with a minimum of 2 timeframes.
If you select “multiple” next to “timeframe” and “all” next to “Show all/absolute labels”, the indicator will show you every possible combination of labels that vary from trade conditions met on a minimum of 2 timeframes, to the maximum number of timeframes selected.
If you select “multiple” next to “timeframe” and “absolute” next to “Show all/absolute labels”, the indicator will only show you labels where the numerical value is equivalent to the maximum number of timeframes selected.
Each signal label provides a number which refers to the number of timeframes used to generate the label, offering insights briefly. Hover over a label to reveal detailed tooltip information that details the exact timeframes used to generate each label.
You can choose all from “Show all/absolute labels” to see every possible combination of trade signals or “absolute” to only see labels that have the highest possible numerical value. Absolute means that every condition selected from every timeframe was calculated to be true at the same time on the same candle.
The next 8 sections are “Current timeframe trade conditions”, “1-minute timeframe trade conditions”, “5-minute timeframe trade conditions”, “15-minute timeframe trade conditions”, “30-minute timeframe trade conditions”, “1-hour timeframe trade conditions”, “4-hour timeframe trade conditions”, “Daily timeframe trade conditions”.
These sections include the same 10 trade conditions, that can be used independently, or in combination with each other. This brings the total number of trade conditions to 70.
The final section includes a standard option to adjust the current Ichimoku values.
Understanding the Calculations:
The term “future” refers to a value that is calculated 26 candles to the right of the most recent closing price.
The term “current” refers to a value that is calculated on the most recent closing price.
The term “past” refers to a value that is calculated 26 candles to the left of the most recent closing price.
Bullish is referred to as “blue” and bearish is referred to as “red”.
Buy Signals:
1. The current closing price is greater than the current cloud value.
2. The future cloud is blue.
3. The current closing price is greater than the current conversion line.
4. The current conversion line is greater than the current baseline.
5. The lagging span is greater than the closing price of the last 25 candles.
6. The lagging span is greater than the past cloud.
7. The lagging span is greater than the past conversion line and the past baseline.
8. The current conversion line is greater than the current cloud.
9. The current baseline is greater than the current cloud.
10. The value of the current cloud to the future cloud is completely blue.
Sell Signals:
1. The current closing price is less than the current cloud value.
2. The future cloud is red.
3. The current closing price is less than the current conversion line.
4. The current conversion line is less than the current baseline.
5. The lagging span is less than the closing price of the last 25 candles.
6. The lagging span is less than the past cloud.
7. The lagging span is less than the past conversion line and the past baseline.
8. The current conversion line is less than the current cloud.
9. The current baseline is less than the current cloud.
10. The value of the current cloud to the future cloud is completely red.
The script enables users to access the value of these 10 trade conditions across the 7 major time frames (1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, Daily, and the current charts time frame) by using the official non repainting request security function provided by Trading View:
f_secSecurity(_src, _res, _exp) =>
request.security(_src, _res, _exp )
This indicator provides up to 70 variables (10 variables X 7 timeframes) that can be used separately, or in combination to generate signal labels.
Enhance your visual analysis with a color-changing baseline and candle colors that adapt to signal shifts, offering an immediate understanding of market trends. The base line will change from gray to blue/red which will reference the most previously plotted signal label. This change in color indicate that the conditions from the most recently plotted signal label have been met once again. Please refer to the example below.
Adjustments to the Ichimoku Indicator:
The script uses a slightly refined version of the Ichimoku indicator to calculate 10 different “trade conditions”. Each trade condition can create 1 bullish signal label and 1 bearish signal label. The calculations are primarily based on “greater than and less than logic” which is standard for signal generation.
In the original Ichimoku calculations, the “Lagging Span” has a default value of 26 periods. In the actual calculations, this input with the title “Lagging Span” is referred to as the “displacement”. When the lagging span is plotted on the chart, it is plotted with an offset value of offset = -displacement + 1 which technically plots the lagging span 25 candles to the left the most recent candle (if you count the most recent closing price as 0 and not 1). The clouds are plotted with an offset of offset = displacement -1 which technically plots the clouds 25 candles to the right of the most recent candle.
I have adjusted the logic of the Ichimoku indicator so the lagging span is still plotted 25 candles to the left of the most recently confirmed candle close, but the cloud is plotted 26 candles to the right of the most recent confirmed candle close.
This seemingly small adjustment of one candle cannot simply be adjusted in the settings of the original Ichimoku indicator since the calculations of the cloud and lagging span displacements are directly affected by the same value (displacement = 26, also known as the “lagging span”). My script is adjusted to make calculations where the lagging span is 25 candles to the left of the most recent candle, and the cloud is displaced 26 candles to the right of the most recent candle.
For example, my scripts logic to detect if the current closing price is over the current cloud is (close > leadLead1 and close > leadLine2 and leadLine1 > leadLine2 . By using a lookback of , the logic assumes that the displaced value is 26 bars to the right of the most recent candle. My script also reflects this logic in the plotted values of the cloud where the offset values are offset = displacement. This adjustment is made without affecting any other part of the Ichimoku indicators calculations, only the displacement of the cloud which directly affects the logic of trade conditioins. This change is a deliberate and necessary function of this script’s logic to generate trade conditions and signal labels.
I’ve removed the conversion line and the lagging span and introduced a 26-period pivot high/low to provide a less cluttered chart. The pivot high/low looks 26 periods to the left and only 1 period to the right. The lagging span and conversion line logic is still built into the framework of the trading signals. If you choose to enable the lagging span, or conversion line.
trading approach, and always test your strategies thoroughly.
The function to generate the "Signal Labels" calculates every single possible combination of the 7 different timeframes which is a total of 127 combinations for bullish signal labels, and 127 combinations for bearish signal labels. This function also provides the necessary criteria for the strategy entry conditions, based on the dynamically calculated values derived from the signal labels themselves. For example: "buy signal on 1 minute and 5 minute timeframe" is considered 1 combination, and "Buy signal on current, 5 minute, 15 minute, 30 minute, 1 hour, 4 hour and daily timeframe" is also considered 1 combination. There are a total of 254 combinations between buy and sell signal labels along with 254 individual variables with their own unique tool tip description. The signal label function alone spans over 1340 lines of code (minus spaces and comments) to specifically account for every possible variable combination. This unique and original function also calculates the signal label "value" which is the number you see on the signal label. This function adjusts the amount of labels plotted, the value and description of all labels based on the timeframe settings "single"/"multiple", the use of "use current timeframe" setting, and the "trade schedule". This signal label function has been a landmark piece of code for me in my endeavor to create and optimize my strategies based on its ability to provide an in depth analysis of the timeframes used when generating signal labels. This function is main reason that this script has been published closed source.
Back tested results.
The current results are from US30 (Dow Jones Industrial Average CFD) on the 5-minute timeframe using regular candles. The inputs are as follows:
Stop loss = 5000 pts
No take profit.
Trail activation = 100 pts
Trail offset = 100 pts
Don’t allow trade reversals
Trade 24/7
Timeframe = multiple
Show absolute signals
Use current timeframe, lag span over/under candles
Use 30m timeframe, all cloud is bull/bear
Initial capital = $10,000 USD, 1 contract, $0.07 per contract, slippage = 3 ticks, use bar magnifier = on
Timeframe = June 1st, 2023 – November 10th, 2023, risk = 5% (greatest loosing trade = $500.44)
Risk Reward Optimiser [ChartPrime]█ CONCEPTS
In modern day strategy optimization there are few options when it comes to optimizing a risk reward ratio. Users frequently need to experiment and go through countless permutations in order to tweak, adjust and find optimal in their data.
Therefore we have created the Risk Reward Optimizer.
The Risk Reward Optimizer is a technical tool designed to provide traders with comprehensive insights into their trading strategies.
It offers a range of features and functionalities aimed at enhancing traders' decision-making process.
With a focus on comprehensive data, it is there to help traders quickly and efficiently locate Risk Reward optimums for inbuilt of custom strategies.
█ Internal and external Signals:
The script can optimize risk to reward ratio for any type of signals
You can utilize the following :
🔸Internal signals ➞ We have included a number of common indicators into the optimizer such as:
▫️ Aroon
▫️ AO (Awesome Oscillator)
▫️ RSI (Relative Strength Index)
▫️ MACD (Moving Average Convergence Divergence)
▫️ SuperTrend
▫️ Stochastic RSI
▫️ Stochastic
▫️ Moving averages
All these indicators have 3 conditions to generate signals :
Crossover
High Than
Less Than
🔸External signal
▫️ by incorporating your own indicators into the analysis. This flexibility enables you to tailor your strategy to your preferences.
◽️ How to link your signal with the optimizer:
In order to be able to analysis your signal we need to read it and to do so we would need to PLOT your signal with a defined value
plot( YOUR LONG Condition ? 100 : 0 , display = display.data_window)
█ Customizable Risk to Reward Ratios:
This tool allows you to test seven different customizable risk to reward ratios , helping you determine the most suitable risk-reward balance for your trading strategy. This data-driven approach takes the guesswork out of setting stop-loss and take-profit levels.
█ Comprehensive Data Analysis:
The tool provides a table displaying key metrics, including:
Total trades
Wins
Losses
Profit factor
Win rate
Profit and loss (PNL)
This data is essential for refining your trading strategy.
🔸 It includes a tooltip for each risk to reward ratio which gives data for the:
Most Profitable Trade USD value
Most Profitable Trade % value
Most Profitable Trade Bar Index
Most Profitable Trade Time (When it occurred)
Position and size is adjustable
█ Visual insights with histograms:
Visualize your trading performance with histograms displaying each risk to reward ratio trade space, showing total trades, wins, losses, and the ratio of profitable trades.
This visual representation helps you understand the strengths and weaknesses of your strategy.
It offers tooltips for each RR ratio with the average win and loss percentages for further analysis.
█ Dynamic Highlighting:
A drop-down menu allows you to highlight the maximum values of critical metrics such as:
Profit factor
Win rate
PNL
for quick identification of successful setups.
█ Stop Loss Flexibility:
You can adjust stop-loss levels using three different calculation methods:
ATR
Pivot
VWAP
This allows you to align risk-reward ratios with your preferred risk tolerance.
█ Chart Integration:
Visualize your trades directly on your price chart, with each trade displayed in a distinct color for easy tracking.
When your take-profit (TP) level is reached , the tool labels the corresponding risk-reward ratio for that specific TP, simplifying trade management.
█ Detailed Tooltips:
Tooltips provide deeper insights into your trading performance. They include information about the most profitable trade, such as the time it occurred, the bar index, and the percentage gain. Histogram tooltips also offer average win and loss percentages for further analysis.
█ Settings:
█ Code:
In summary, the Risk Reward Optimizer is a data-driven tool that offers traders the ability to optimize their risk-reward ratios, refine their strategies, and gain a deeper understanding of their trading performance. Whether you're a day trader, swing trader, or investor, this tool can help you make informed decisions and improve your trading outcomes.
Filtered Bollinger Bands By @TradingadeThis is a reversal strategy based on Bollinger Bands combined with a Trend filter.
The most important part of this strategy is the Trend filter. When applied, it will increase the likelihood of confirming an exhausted movement (it will help find the maximum "elastic bent"), and may reduce chances of getting bad entries condition.
The logic of this code is:
Enter Long : price goes outside lower band, then close cross above lower band
Stop Loss : Percentage %
Take profit : Percentage %
Exit Cond : when high crosses above upper band. It could be both in profit or in loss.
Filter: Yesterday low was the lowest in previous X days
Enter Short : price goes outside lower band, then close cross above lower band
Stop Loss : Percentage %
Take profit : Percentage %
Exit Cond : when low crosses below lower band. It could be both in profit or in loss.
Filter: Yesterday high was the highest in previous X days
FILTER Notes:
You could switch both timeframe and N. of candles in input section. Even tough generally daily data are more reliable, you could find interesting to change it to 1H tf, so filter would be:
"1H high/low was the lowest/highest in previous X hours"
EXIT Notes:
Please note that "% exits" will always override "Exit Cond".
Set % exits to 0 if you want to exit only by "Exit Cond".
Settings used to get the results below :
Initial Capital = 10000
Order Size = 10000 USDT
Commission = 0.06 %
TREND FILTER
Trend filter = True
Trend intensity = 4 Candles , TF 1 day
BB FILTER
Lenght = 20
Source = Close
StdDev = 2
STRATEGY SETTINGS
Position Side = LONG
Stop Loss % = 8
Take Profit % = 0
Exit Cond = True
CCI+EMA Strategy with Percentage or ATR TP/SL [Alifer]This is a momentum strategy based on the Commodity Channel Index (CCI), with the aim of entering long trades in oversold conditions and short trades in overbought conditions.
Optionally, you can enable an Exponential Moving Average (EMA) to only allow trading in the direction of the larger trend. Please note that the strategy will not plot the EMA. If you want, for visual confirmation, you can add to the chart an Exponential Moving Average as a second indicator, with the same settings used in the strategy’s built-in EMA.
The strategy also allows you to set internal Stop Loss and Take Profit levels, with the option to choose between Percentage-based TP/SL or ATR-based TP/SL.
The strategy can be adapted to multiple assets and timeframes:
Pick an asset and a timeframe
Zoom back as far as possible to identify meaningful positive and negative peaks of the CCI
Set Overbought and Oversold at a rough average of the peaks you identified
Adjust TP/SL according to your risk management strategy
Like the strategy? Give it a boost!
Have any questions? Leave a comment or drop me a message.
CAUTIONARY WARNING
Please note that this is a complex trading strategy that involves several inputs and conditions. Before using it in live trading, it is highly recommended to thoroughly test it on historical data and use risk management techniques to safeguard your capital. After backtesting, it's also highly recommended to perform a first live test with a small amount. Additionally, it's essential to have a good understanding of the strategy's behavior and potential risks. Only risk what you can afford to lose .
USED INDICATORS
1 — COMMODITY CHANNEL INDEX (CCI)
The Commodity Channel Index (CCI) is a technical analysis indicator used to measure the momentum of an asset. It was developed by Donald Lambert and first published in Commodities magazine (now Futures) in 1980. Despite its name, the CCI can be used in any market and is not just for commodities. The CCI compares current price to average price over a specific time period. The indicator fluctuates above or below zero, moving into positive or negative territory. While most values, approximately 75%, fall between -100 and +100, about 25% of the values fall outside this range, indicating a lot of weakness or strength in the price movement.
The CCI was originally developed to spot long-term trend changes but has been adapted by traders for use on all markets or timeframes. Trading with multiple timeframes provides more buy or sell signals for active traders. Traders often use the CCI on the longer-term chart to establish the dominant trend and on the shorter-term chart to isolate pullbacks and generate trade signals.
CCI is calculated with the following formula:
(Typical Price - Simple Moving Average) / (0.015 x Mean Deviation)
Some trading strategies based on CCI can produce multiple false signals or losing trades when conditions turn choppy. Implementing a stop-loss strategy can help cap risk, and testing the CCI strategy for profitability on your market and timeframe is a worthy first step before initiating trades.
2 — AVERAGE TRUE RANGE (ATR)
The Average True Range (ATR) is a technical analysis indicator that measures market volatility by calculating the average range of price movements in a financial asset over a specific period of time. The ATR was developed by J. Welles Wilder Jr. and introduced in his book “New Concepts in Technical Trading Systems” in 1978.
The ATR is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The ATR can be used to set stop-loss orders. One way to use ATR for stop-loss orders is to multiply the ATR by a factor (such as 2 or 3) and subtract it from the entry price for long positions or add it to the entry price for short positions. This can help traders set stop-loss orders that are more adaptive to market volatility.
3 — EXPONENTIAL MOVING AVERAGE (EMA)
The Exponential Moving Average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points.
The EMA is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The EMA can be used by traders to produce buy and sell signals based on crossovers and divergences from the historical average. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.
The formula for calculating EMA is as follows:
Compute the Simple Moving Average (SMA).
Calculate the multiplier for weighting the EMA.
Calculate the current EMA using the following formula:
EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier)
STRATEGY EXPLANATION
1 — INPUTS AND PARAMETERS
The strategy uses the Commodity Channel Index (CCI) with additional options for an Exponential Moving Average (EMA), Take Profit (TP) and Stop Loss (SL).
length : The period length for the CCI calculation.
overbought : The overbought level for the CCI. When CCI crosses above this level, it may signal a potential short entry.
oversold : The oversold level for the CCI. When CCI crosses below this level, it may signal a potential long entry.
useEMA : A boolean input to enable or disable the use of Exponential Moving Average (EMA) as a filter for long and short entries.
emaLength : The period length for the EMA if it is used.
2 — CCI CALCULATION
The CCI indicator is calculated using the following formula:
(src - ma) / (0.015 * ta.dev(src, length))
src is the typical price (average of high, low, and close) and ma is the Simple Moving Average (SMA) of src over the specified length.
3 — EMA CALCULATION
If the useEMA option is enabled, an EMA is calculated with the given emaLength .
4 — TAKE PROFIT AND STOP LOSS METHODS
The strategy offers two methods for TP and SL calculations: percentage-based and ATR-based.
tpSlMethod_percentage : A boolean input to choose the percentage-based method.
tpSlMethod_atr : A boolean input to choose the ATR-based method.
5 — PERCENTAGE-BASED TP AND SL
If tpSlMethod_percentage is chosen, the strategy calculates the TP and SL levels based on a percentage of the average entry price.
tp_percentage : The percentage value for Take Profit.
sl_percentage : The percentage value for Stop Loss.
6 — ATR-BASED TP AND SL
If tpSlMethod_atr is chosen, the strategy calculates the TP and SL levels based on Average True Range (ATR).
atrLength : The period length for the ATR calculation.
atrMultiplier : A multiplier applied to the ATR to set the SL level.
riskRewardRatio : The risk-reward ratio used to calculate the TP level.
7 — ENTRY CONDITIONS
The strategy defines two conditions for entering long and short positions based on CCI and, optionally, EMA.
Long Entry: CCI crosses below the oversold level, and if useEMA is enabled, the closing price should be above the EMA.
Short Entry: CCI crosses above the overbought level, and if useEMA is enabled, the closing price should be below the EMA.
8 — TP AND SL LEVELS
The strategy calculates the TP and SL levels based on the chosen method and updates them dynamically.
For the percentage-based method, the TP and SL levels are calculated as a percentage of the average entry price.
For the ATR-based method, the TP and SL levels are calculated using the ATR value and the specified multipliers.
9 — EXIT CONDITIONS
The strategy defines exit conditions for both long and short positions.
If there is a long position, it will be closed either at TP or SL levels based on the chosen method.
If there is a short position, it will be closed either at TP or SL levels based on the chosen method.
Additionally, positions will be closed if CCI crosses back above oversold in long positions or below overbought in short positions.
10 — PLOTTING
The script plots the CCI line along with overbought and oversold levels as horizontal lines.
The CCI line is colored red when above the overbought level, green when below the oversold level, and white otherwise.
The shaded region between the overbought and oversold levels is plotted as well.
Volume ValueWhen VelocityTitle: Volume ValueWhen Velocity Trading Strategy
▶ Introduction:
The " Volume ValueWhen Velocity " trading strategy is designed to generate long position signals based on various technical conditions, including volume thresholds, RSI (Relative Strength Index), and price action relative to the Simple Moving Average (SMA). The strategy aims to identify potential buy opportunities when specific criteria are met, helping traders capitalize on potential bullish movements.
▶ How to use and conditions
★ Important : Only on Spot Binance BINANCE:BTCUSDT
Name: Volume ValueWhen Velocity
Operating mode: Long on Spot BINANCE BINANCE:BTCUSDT
Timeframe: Only one hour
Market: Crypto
currency: Bitcoin only
Signal type: Medium or short term
Entry: All sections in the Technical Indicators and Conditions section must be saved to enter (This is explained below)
Exit: Based on loss limit and profit limit It is removed in the settings section
Backtesting:
⁃ Exchange: BINANCE BINANCE:BTCUSDT
⁃ Pair: BTCUSDT
⁃ Timeframe:1h
⁃ Fee: 0.1%
- Initial Capital: 1,000 USDT
- Position sizing: 500 usdt
-Trading Range: 2022-07-01 11:30 ___ 2023-07-21 14:30
▶ Strategy Settings and Parameters:
1. `strategy(title='Volume ValueWhen Velocity', ...`: Sets the strategy title, initial capital, default quantity type, default quantity value, commission value, and trading currency.
↬ Stop-Loss and Take-Profit Settings:
1. long_stoploss_value and long_stoploss_percentage : Define the stop-loss percentage for long positions.
2. long_takeprofit_value and long_takeprofit_percentage : Define the take-profit percentage for long positions.
↬ ValueWhen Occurrence Parameters:
1. occurrence_ValueWhen_1 and occurrence_ValueWhen_2 : Control the occurrences of value events.
2. `distance_value`: Specifies the minimum distance between occurrences of ValueWhen 1 and ValueWhen 2.
↬ RSI Settings:
1. rsi_over_sold and rsi_length : Define the oversold level and RSI length for RSI calculations.
↬ Volume Thresholds:
1. volume_threshold1 , volume_threshold2 , and volume_threshold3 : Set the volume thresholds for multiple volume conditions.
↬ ATR (Average True Range) Settings:
1. atr_small and atr_big : Specify the periods used to calculate the Average True Range.
▶ Date Range for Back-Testing:
1. start_date, end_date, start_month, end_month, start_year, and end_year : Define the date range for back-testing the strategy.
▶ Technical Indicators and Conditions:
1. rsi: Calculates the Relative Strength Index (RSI) based on the defined RSI length and the closing prices.
2. was_over_sold: Checks if the RSI was oversold in the last 10 bars.
3. getVolume and getVolume2 : Custom functions to retrieve volume data for specific bars.
4. firstCandleColor : Evaluates the color of the first candle based on different timeframes.
5. sma : Calculates the Simple Moving Average (SMA) of the closing price over 13 periods.
6. numCandles : Counts the number of candles since the close price crossed above the SMA.
7. atr1 : Checks if the ATR_small is less than ATR_big for the specified security and timeframe.
8. prevClose, prevCloseBarsAgo, and prevCloseChange : ValueWhen functions to calculate the change in the close price between specific occurrences.
9. atrval: A condition based on the ATR_value3.
▶ Buy Signal Condition:
Condition: A combination of multiple volume conditions.
buy_signal: The final buy signal condition that considers various technical conditions and their interactions.
▶ Long Strategy Execution:
1. The strategy will enter a long position (buy) when the buy_signal condition is met and within the specified date range.
2. A stop-loss and take-profit will be set for the long position to manage risk and potential profits.
▶ Conclusion:
The " Volume ValueWhen Velocity " trading strategy is designed to identify long position opportunities based on a combination of volume conditions, RSI, and price action. The strategy aims to capitalize on potential bullish movements and utilizes a stop-loss and take-profit mechanism to manage risk and optimize potential returns. Traders can use this strategy as a starting point for their own trading systems or further customize it to suit their preferences and risk appetite. It is crucial to thoroughly back-test and validate any trading strategy before deploying it in live markets.
↯ Disclaimer:
Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Yesterday's High v.17.07Yesterday’s High Breakout it is a trading system based on the analysis of yesterday's highs, it works in trend-following mode therefore it opens a long position at the breakout of yesterday's highs even if they occur several times in one day.
There are several methods for exiting a trade, each with its own unique strategy. The first method involves setting Take-Profit and Stop-Loss percentages, while the second utilizes a trailing-stop with a specified offset value. The third method calls for a conditional exit when the candle closes below a reference EMA.
Additionally, operational filters can be applied based on the volatility of the currency pair, such as calculating the percentage change from the opening or incorporating a gap to the previous day's high levels. These filters help to anticipate or delay entry into the market, mitigating the risk of false breakouts.
In the specific case of INJ, a 12% Take-Profit and a 1.5% Stop-Loss were set, with an activated trailing-stop percentage, TRL 1 and OFF 0.5.
To postpone entry and avoid false breakouts, a 1% gap was added to the price of yesterday's highs.
Name: Yesterday's High Breakout - Trend Follower Strategy
Author: @tumiza999
Category: Trend Follower, Breakout of Yesterday's High.
Operating mode: Spot or Futures (only long).
Trade duration: Intraday.
Timeframe: 30M, 1H, 2H, 4H
Market: Crypto
Suggested usage: Short-term trading, when the market is in trend and it is showing high volatility.
Entry: When there is a breakout of Yesterday's High.
Exit: Profit target or Trailing stop, Stop loss or Crossunder EMA.
Configuration:
- Gap to anticipate or postpone the entry before or after the identified level
- Rate of Change for Entry Condition
- Take Profit, Stop Loss and Trailing Stop
- EMA length
Backtesting:
⁃ Exchange: BINANCE
⁃ Pair: INJUSDT
⁃ Timeframe: 4H
- Treshold: 1
- Gap%: 1
- SL: 1.5
- TP:12
- TRL: 1
- OFF-TRL: 0.5
⁃ Fee: 0.075%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2018-07-26 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits: LucF for Pine Coders (f_security function to avoid repainting using security)
Disclaimer: Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Top Tier Position SurveillanceThis is a light-weight position tool I coded after not finding something similar and that lets you enter the inputs in a way you do that also at your CEX.
You enter:
1. ENTRY price of position
2. TAKE PROFIT level
3. STOP LOSS level
4. Amount of USD you put into the position (aka collateral)
5. Your leverage (10x, 100x or whatever)
The tool then checks if that is a short or a long to show you that with a color and to calculate the profit and loss correctly.
It then shows you the current PnL in % and in USD at the label where you opened the position.
This is a tool for long and short position without the complicated stuff with "pips", "lot", "ticks", "risk" and all the things you typically don't need and mostly don't know about when trading at a CEX.
I made it to see my PnL without having to check in the App of the CEX which is pretty annoying.
PRO users might miss things... the intention was to make it easily to surveil your position without the need for a lot of inputs.
If your position goes into the desired direction you can lift the SL above the entry (if you're long for example), and it then renames to "SL-Profit" because you're in profit then and not in loss... I think there's some nice detail work in it which you hopefully will enjoy.
[SMA Cross + HHLL] Signal Clean Up Analysis with Backtest (TSO) This is a DEMO indicator with a simple 2 SMAs cross for signals + HHLL for TP/SL. It mainly demonstrates chained (NOTE: You can select several or ALL of the features, this is not limited to either one) signal cleanup and analysis approach with scheduling and alerting capabilities. Works with most popular timeframes: 1M, 5M, 15M, 1H, 4H, D.
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Here are some pre-set examples with nice Backtesting results (try em out!):
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>>> Indexes – SPY (INTRADAY SETUP ): Timeframe: 5M | Trading Schedule: ON, 10:00-15:45 ET, EOD: At Market Close | Trading System: Open Until Closed by TP or SL | MULTIPROFIT: TP (take profit) System: Dynamic | MULTIPROFIT: SL (stop loss) System (This is only for “Dynamic” TP System ONLY!!!): Dynamic | # of TPs: 5 | Skip opposite candle types in signals, which are opposite to direction of candle color (for example: bearish green hammer) | Everything else: Default
>>> Bitcoin – BTCUSD (24/7 SETUP): Timeframe: 1H | Trading Schedule: OFF, End of Day (EOD): OFF | Trading System: Open Until Closed by TP or SL | MULTIPROFIT: TP (take profit) System: Dynamic | MULTIPROFIT: SL (stop loss) System (This is only for “Dynamic” TP System ONLY!!!): Dynamic | # of TPs: 3 | TP(s) Offset: on, TP(s) offset amount: 50 | ATR confirmation | Everything else: Default
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Explanation of all the Features | Configuration Guide | Indicator Settings
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Signal cleanup analysis:
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>>> Customizable Backtesting for a specific date range, results via TradingView strategy, which includes “Deep Backtesting” for largest amounts of data on trading results.
>>> Trading Schedule with customizable trading daily time range, automatic closing/alert trades before Power Hour or right before market closes or leave it open until next day.
>>> 3 Trading Systems.
>>> Static/Dynamic Take-Profit setups (HILIGHT: momentum catch dynamic Take-Profit approach).
>>> Static/Dynamic Stop-Loss setups (HIGHLIGHT: smart trailing Stop-Loss which minimizes risk).
>>> Single or Multiple profit targets (up to 5).
>>> Take-Profit customizable offset feature (set your Take-Profit targets slightly before everyone is expecting it!).
>>> Candle bar signal analysis (skip opposite structured and/or doji candle uncertain signals).
>>> Additional analysis of VWAP/EMA/ATR/EWO (Elliot Wave Oscillator)/Divergence MACD+RSI signal confirmation (clean up your chart with indicator showing only the best potential signals!).
>>> Advanced Alerts setup, which can be potentially setup with a trading bot over TradingView Webhook (NOTE: This will require advanced programming knowledge).
>>> Customize your signal SOURCE and your Take-Profit/Stop-Loss SOURCES as you desire.
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Labels, plots, colors explanations:
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>>>>> Signal SOURCE: SMA crossings (green and red BIG circles) .
>>>>> Take-profit/Stop-loss SOURCE: HHLL (Highest High Lowest Low) .
>>>>> LONG open: green arrow below candle bar.
>>>>> SHORT open: red arrow above candle bar.
>>>>> LONG/SHORT take-profit target: green/red circles (multi-profit > TP2/3/4/5 smaller circles).
>>>>> LONG/SHORT take-profit hits: green/red diamonds.
>>>>> LONG/SHORT stop-loss target: green/red + crosses.
>>>>> LONG/SHORT stop-loss hits: green/red X-crosses.
>>>>> LONG/SHORT EOD close (profitable trade): green/red squares.
>>>>> LONG/SHORT EOD close (loss trade): green/red PLUS(+)-crosses.
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Date Range and Trading Schedule Settings
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>>>>> Date Range: Select your start and/or end dates (uncheck “End” for indicator to show results up to the very moment and to use for LIVE trading) for backtesting results, if not using backtesting – uncheck “Start”/“End” to turn it off.
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>>>>> Use TradingView “Strategy Tester” to see backtesting results
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NOTE: If Strategy Tester does not show any results with Date Ranged fully unchecked, there may be an issue where a script opens a trade, but there is not enough TradingView power to set the Take-Profit and Stop-Loss and somehow an open trade gets stuck and never closes, so there are “no trades present”. In such case you will need to manually check “Start”/“End” dates or use “Depp Backtesting” feature!
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>>>>> Trading Schedule: This is where you can setup Intraday Session or any custom session schedule you wish. Turn it ON. Select trading hours. Select EOD (End of Day) setting (NOTE: If it will be OFF, the indicator will assume you are holding your position open until next day!).
>>>>> Trading System: 1) Open Until Closed by TP or SL – once the trade is open, it can only be closed by Take-Profit, Stop-Loss or at EOD (if turned on) ||| 2) OCA – Opposite Trade will Open Closing Current Trade – Same as 1), except that when and if an OPPOSITE signal is received > indicator will close current trade immediately (profit or loss) and open a new one(NOTE: This will only happen with an OPPOSITE direction trade!) ||| 3) Open Until Opposite Signal or EOD (if turned on) – This approach is the simplest one, there are no Take-Profits or Stop-Losses, the trade is open until an OPPOSITE signal is received or until EOD (if turned on).
Take-Profit, Stop-Loss and Multi-Profit Settings
>>>>> MULTIPROFIT | TP (Take-Profit) System: 1) Static – Once the trade is open, all Take-Profit target(s) are immediately calculated and set for the trade > once the target(s) is hit > trade will be partially closed (if candle bar closes beyond several Take-Profit targets > trade will be reduced accordingly to the amount of how many Take-Profit targets were hit) ||| 2) Dynamic – Once the trade is open, only the 1st Take-Profit target is calculated, once the 1st Take-Profit is hit > next Take-Profit distance is calculated based on the distance from trade Entry to where 1st Take-Profit was taken, once 2nd Take-Profit is taken > 3rd Take-Profit is calculated per same logic, these are good for price momentum as with price speeding up – profits increase as well!
NOTE: Below 2 settings, each correspond to only 1 setting of the TP (Take-Profit) System, please pay attention to the above TP system setting before changing SL settings!
>>>>> MULTIPROFIT | SL (Stop-Loss) System : 1) Static – Once the trade is open, Stop-Loss is calculated and set for the remaining of the trade ||| 2) Dynamic – At trade open, Stop-Loss is calculated and set the same way, however once 1st Take-Profit is taken > Stop-Loss is moved to Entry, reducing the risk.
>>>>> MULTIPROFIT | SL (Stop-Loss) System : 1) Static - Once the trade is open, Stop-Loss is calculated and set for the remaining of the trade ||| 2) Dynamic – At trade open, Stop-Loss is calculated and set the same way, however with each Take-Profit taken, Stop-Loss will be moved to previous Take-Profit (TP1 taken > SL:Entry | TP2 taken > SL:TP1 | TP3 taken > SL:TP2 | TP4 taken > SL:TP3 | TP5 taken > trade closed), this is basically a smart Stop-Loss trailing system!
>>>>> # of TPs (number of take profit targets): Just like it is named, this is where you select the number of Take-Profit targets for your trading system (NOTE: If “3) Open Until Opposite Signal or EOD (if turned on)” Trading System is selected, this setting won’t do anything, since there are no TP or SLs for that system).
>>>>> TP(s) offset: This is a special feature for all Take-Profit targets, where you can turn on a customizable offset, so that if the price is almost hitting the Take-Profit target, but never actually touches it > you will capture it. This is good to use with HHLL (Highest High Lowest Low), which is pretty much a Support/Resistance as often the price will nearly touch these strong areas and turn around…
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Dynamic/Static Take-Profit and Stop-Loss visual examples:
1) Fully Dynamic Take-Profit and Stop-Loss setup for BTCUSD
See how Take-Profit distances increase with price momentum and how Stop-Loss is following the trade reducing the risk!
2) Static/Dynamic, Static Take-Profit and Dynamic Stop-Loss setup for SPY (S&P500 ETF TRUST)
You can see a static Take-Profit set at position open, while Stop-Loss is semi-dynamic adjusting to Entry once TP1 target is taken!
3) Fully Static Take-Profit and Stop-Loss setup for SPY (S&P500 ETF TRUST)
This one is a fully static setup for both Take-Profit and Stop-Loss, you can also observe how trade is closed right before the Power Hour (trade can be closed right before Power Hour or right before Market Closes or left overnight as you desire).
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Trade Analysis and Cleanup Settings
>>>>> Candle Analysis | Candle Color signal confirmation: If closed candle bar color does not match the signal direction > no trade will be open.
>>>>> Candle Analysis | Skip opposite candle signals: If closed candle bar color will match the signal direction, but candle structure will be opposite (for example: bearish green hammer, long high stick on top of a small green square) > no trade will be open.
>>>>> Candle Analysis | Skip doji candle signals: If closed candle bar will be the uncertain doji > no trade will be open.
>>>>> Divergence/Oscillator Analysis | EWO (Elliot Wave Oscillator) signal confirmation: LONG will only be open if at signal, EWO is green or will be at bullish slope (you can select which setting you desire), SHORT if EWO is red or will be at bearish slope.
>>>>> Divergence/Oscillator Analysis | VWAP signal confirmation: LONG will only be open if at signal, the price will be above VWAP, SHORT if below.
>>>>> Divergence/Oscillator Analysis | Moving Average signal confirmation: LONG will only be open if at signal, the price will be above selected Moving Average, SHORT if below.
>>>>> Divergence/Oscillator Analysis | ATR signal confirmation: LONG will only be open if at signal, the price will be above ATR, SHORT if below.
>>>>> Divergence/Oscillator Analysis | RSI + MACD signal confirmation: LONG will only be open if at signal, RSI + MACD will be bullish, SHORT if RSI + MACD will be bearish.
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Alert Settings (you don’t have to touch this section unless you will be using TradingView alerts through a Webhook to use with trading bot)
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Here is how a LONG OPEN alert looks like (each label is customizable + I can add up more items/labels if needed):
COIN: BTCUSD
TIMEFRAME: 15M
LONG: OPEN
ENTRY: 20000
TP1: 20500
TP2: 21000
TP3: 21500
SL: 19000
Leverage: 0
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Trade Open Signal SOURCE + Take-Profit/Stop-Loss SOURCE
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>>> Customize your signal SOURCE, Take-Profit and Stop-Loss SOURCE as desired (NOTE: These are pre-configured and should be usable on majority of markets, however feel free to play around with these settings as there is nearly an infinite amount of setups out there!
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Adding Alerts in TradngView
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-Right-click anywhere on the TradingView chart
-Click on Add alert
-Condition: Select this indicator by it’s name
-Alert name: Whatever you want
-Hit “Create”
-Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
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If you have any questions or issues with the indicator, please message me directly via TradingView.
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Good Luck! (NOTE: Trading is very risky, so please trade responsibly!)
[MAD] Position starter & calculatorThe tool you're using is a financial instrument trading planner and analyzer.
Here is how to use it:
Trade Planning: You can plan your trade entries and exits, calculating potential profits, losses, and their ratio (P/L ratio).
You can define up to five target closing prices with varying volumes, which can be individually activated or deactivated (volume set to 0%).
Risk Management: There's a stop-loss function to calculate and limit potential losses.
Additionally, it includes a liquidation pre-calculation for adjustable leverages and position maintenance(subject to exchange variation).
Customization: You can customize the tool's appearance with five adjustable color schemes, light and dark.
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Initiation: This tool functions as an indicator.
To start, add it as an indicator.
Once added, you can close the indicator window.
Now wait, till you'll see a blue box at the bottom of the input window.
Parameter Input:
Enter your parameters (SL, box left, box right, TP1, TP2, TP3, TP4, TP5) in the direction of the desired trade.
Click from top to bottom for a short trade or bottom to top for a long trade.
Adjustment: If you want to move the box in the future, adjust the times in the indicator settings directly as click input is not yet platform-supported.
This tool functions as a ruler and doesn't offer alerts (for now).
Here is another examples of how to set up a Position-calculation but here for a short:
Have fun trading
Chandelier Exit ZLSMA StrategyIntroducing a Powerful Trading Indicator: Chandelier Exit with ZLSMA
If you're a trader, you know the importance of having the right tools and indicators to make informed decisions. That's why we're excited to introduce a powerful new trading indicator that combines the Chandelier Exit and ZLSMA: two widely-used and effective indicators for technical analysis.
The Chandelier Exit (CE) is a popular trailing stop-loss indicator developed by Chuck LeBeau. It's designed to follow the price trend of a security and provide an exit signal when the price crosses below the CE line. The CE line is based on the Average True Range (ATR), which is a measure of volatility. This means that the CE line adjusts to the volatility of the security, making it a reliable indicator for trailing stop-losses.
The ZLEMA (Zero Lag Exponential Moving Average) is a type of exponential moving average that's designed to reduce lag and improve signal accuracy. The ZLSMA takes into account not only the current price but also past prices, using a weighted formula to calculate the moving average. This makes it a smoother indicator than traditional moving averages, and less prone to giving false signals.
When combined, the CE and ZLSMA create a powerful indicator that can help traders identify trend changes and make more informed trading decisions. The CE provides the trailing stop-loss signal, while the ZLSMA provides a smoother trend line to help identify potential entry and exit points.
In our indicator, the CE and ZLSMA are plotted together on the chart, making it easy to see both the trailing stop-loss and the trend line at the same time. The CE line is displayed as a dotted line, while the ZLSMA line is displayed as a solid line.
Using this indicator, traders can set their stop-loss levels based on the CE line, while also using the ZLSMA line to identify potential entry and exit points. The combination of these two indicators can help traders reduce their risk and improve their trading performance.
In conclusion, the Chandelier Exit with ZLSMA is a powerful trading indicator that combines two effective technical analysis tools. By using this indicator, traders can identify trend changes, set stop-loss levels, and make more informed trading decisions. Try it out for yourself and see how it can improve your trading performance.
Warning: The results in the backtest are from a repainting strategy. Don't take them seriously. You need to do a dry live test in order to test it for its useability.
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Here is a description of each input field in the provided source code:
length: An integer input used as the period for the ATR (Average True Range) calculation. Default value is 1.
mult: A float input used as a multiplier for the ATR value. Default value is 2.
showLabels: A boolean input that determines whether to display buy/sell labels on the chart. Default value is false.
isSignalLabelEnabled: A boolean input that determines whether to display signal labels on the chart. Default value is true.
useClose: A boolean input that determines whether to use the close price for extrema calculations. Default value is true.
zcolorchange: A boolean input that determines whether to enable rising/decreasing highlighting for the ZLSMA (Zero-Lag Exponential Moving Average) line. Default value is false.
zlsmaLength: An integer input used as the length for the ZLSMA calculation. Default value is 50.
offset: An integer input used as an offset for the ZLSMA calculation. Default value is 0.
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Ty for checking this out and good luck on your trading journey! Likes and comments are appreciated. 👍
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Credits to:
▪ @everget – Chandelier Exit (CE)
▪ @netweaver2022 – ZLSMA
Bollinger Bands - Breakout StrategyThe Bollinger Bands - Breakout Strategy is a trend-following optimized for short-term trading in the crypto market. This strategy employs the Bollinger Bands, a widely recognized technical indicator, as its primary instrument for pinpointing potential trades. It is capable of executing both long and short positions, depending on whether the market is in a spot or futures, and is particularly effective in trending markets.
The strategy boasts a high degree of configurability, allowing users to set the Bollinger Bands period and deviation, trend filter, volatility filter, trade direction filter, rate of change filter, and date filter. Furthermore, it offers options for Take Profit, Stop Loss, and Trailing Stop for both long and short positions, ensuring a comprehensive risk management approach. The inclusion of a maximum intraday loss feature adds another layer of protection, making this strategy a valuable tool for traders seeking a professional and adaptable trading system.
Name : Bollinger Bands - Breakout Strategy
Category : Trend Follower based on Bollinger Bands
Operating mode : Long and Short on Futures or Long on Spot
Trade duration : Intraday
Timeframe : 2H, 3H, 4H, 5H
Market : Crypto
Suggested usage : Trending Markets
Entry : When the price crosses above or below the Bollinger Bands
Exit : Opposite Cross or Profit target, Trailing stop or Stop loss
Configuration :
- Bollinger Bands period and deviation
- Trend Filter
- Volatility Filter
- Trade direction filter
- Rate of Change filter
- Date Filter (for backtesting purposes)
- Take Profit, Stop Loss and Trailing Stop for long and short positions
- Risk Management: Max Intraday Loss
Backtesting :
⁃ Exchange: BINANCE
⁃ Pair: BTCUSDT.P
⁃ Timeframe: 4H
⁃ Fee: 0.025%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2019-09-19 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits :
- LucF of Pine Coders for f_security function to avoid repainting using security.
- QuantNomad for Monthly Table.
Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Yesterday’s High Breakout - Trend Following StrategyYesterday’s High Breakout it is a trading system based on the analysis of yesterday's highs, it works in trend-following mode therefore it opens a long position at the breakout of yesterday's highs even if they occur several times in one day.
There are several methods for exiting a trade, each with its own unique strategy. The first method involves setting Take-Profit and Stop-Loss percentages, while the second utilizes a trailing-stop with a specified offset value. The third method calls for a conditional exit when the candle closes below a reference EMA.
Additionally, operational filters can be applied based on the volatility of the currency pair, such as calculating the percentage change from the opening or incorporating a gap to the previous day's high levels. These filters help to anticipate or delay entry into the market, mitigating the risk of false breakouts.
In the specific case of NULS, a 9% Take-Profit and a 3% Stop-Loss were set, with an activated trailing-stop percentage. To postpone entry and avoid false breakouts, a 1% gap was added to the price of yesterday's highs.
Name : Yesterday's High Breakout - Trend Follower Strategy
Author : @tumiza999
Category : Trend Follower, Breakout of Yesterday's High.
Operating mode : Spot or Futures (only long).
Trade duration : Intraday.
Timeframe : 30M, 1H, 2H, 4H
Market : Crypto
Suggested usage : Short-term trading, when the market is in trend and it is showing high volatility.
Entry : When there is a breakout of Yesterday's High.
Exit : Profit target or Trailing stop, Stop loss or Crossunder EMA.
Configuration :
- Gap to anticipate or postpone the entry before or after the identified level
- Rate of Change for Entry Condition
- Take Profit, Stop Loss and Trailing Stop
- EMA length
Backtesting :
⁃ Exchange: BINANCE
⁃ Pair: NULSUSDT
⁃ Timeframe: 2H
⁃ Fee: 0.075%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2018-07-26 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits : LucF for Pine Coders (f_security function to avoid repainting using security)
Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Reinforced RSI - The Quant Science This strategy was designed and written with the goal of showing and motivating the community how to integrate our 'Probabilities' module with their own script.
We have recreated one of the simplest strategies used by many traders. The strategy only trades long and uses the overbought and oversold levels on the RSI indicator.
We added stop losses and take profits to offer more dynamism to the strategy. Then the 'Probabilities' module was integrated to create a probabilistic reinforcement on each trade.
Specifically, each trade is executed, only if the past probabilities of making a profitable trade is greater than or equal to 51%. This greatly increased the performance of the strategy by avoiding possible bad trades.
The backtesting was calculated on the NASDAQ:TSLA , on 15 minutes timeframe.
The strategy works on Tesla using the following parameters:
1. Lenght: 13
2. Oversold: 40
3. Overbought: 70
4. Lookback: 50
5. Take profit: 3%
6. Stop loss: 3%
Time period: January 2021 to date.
Our Probabilities Module, used in the strategy example:
Basic Position Calculator (BPC)In trading, proper position sizing is essential to managing risk and maximizing returns. The script provided is a Basic Position Calculator that allows traders to quickly and easily calculate their position size, stop loss, take profit, and risk reward ratio for a given trade.
The script starts by defining several inputs for the user to customize the calculations. The first input is the "Account Size", which specifies the total amount of funds available for the trade. The next input is "Risk Amount %", which is the percentage of the account size that the trader is willing to risk per trade. The "Stop Loss" input specifies the maximum amount of loss that the trader is willing to accept, while the "Reward" input is the desired profit target for the trade. Finally, there is a "Position" input that allows the user to specify where on the chart the table of calculations will be displayed.
The script then calculates the position size, stop loss, take profit and risk reward ratio using the user-specified inputs. The position size is calculated by dividing the risk amount by the stop loss. The stop loss is calculated by multiplying the stop loss percentage by the close price, and the take profit is calculated by multiplying the stop loss percentage by the close price and the reward. Risk-reward ratio is the ratio of amount of profit potential to the amount of risk in a trade.
The script then creates a table and displays the calculated values on the chart at the specified location. The table includes the following information: account size, position size, account risk %, stop loss, stop loss %, take profit, take profit % and risk reward ratio. This allows the trader to quickly and easily see all the key calculations for their trade in one place.
Overall, the Basic Position Calculator script is a valuable tool for any trader looking to quickly and easily calculate their position size, stop loss, take profit, and risk reward ratio for a given trade. The ability to customize the inputs and display the calculations on the chart makes it a useful and user-friendly tool for managing risk and maximizing returns.
Simple SuperTrend Strategy for BTCUSD 4HHello guys!, If you are a swing trader and you are looking for a simple trend strategy, you should check this one. Based in the supertrend indicator, this strategy will help you to catch big movements in BTCUSD 4H and avoid losses as much as possible in consolidated situations of the market
This strategy was designed for BTCUSD in 4H timeframe
Backtesting context: 2020-01-02 to 2023-01-05 (The strategy has also worked in previous years)
Trade conditions:
Rules are actually simple, the most important thing is the risk and position management of this strategy
For long:
Once Supertrend changes from a downtrend to a uptrend, you enter into a long position. The stop loss will be defined by the atr stop loss
The first profit will be of 0.75 risk/reward ratio where half position will be closed. When this happens, you move the stop loss to break even.
Now, just will be there two situations:
Once Supertrend changes from a uptrend to a downtrend, you close the other half of the initial long position.
If price goes againts the position, the position will be closed due to breakeven.
For short:
Once Supertrend changes from a uptrend to a downtrend, you enter into a short position. The stop loss will be defined by the atr stop loss
The first profit will be of 0.75 risk/reward ratio where half position will be closed. When this happens, you move the stop loss to break even.
Like in the long position, just will be there two situations:
Once Supertrend changes from a downtrend to a uptrend, you close the other half of the initial short position.
If price goes againts the position, the position will be closed due to breakeven.
Risk management
For calculate the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a long signal at price of 20,000 usd. The stop loss price from atr stop loss is 19,000. You calculate the distance in percent between 20,000 and 19,000. In this case, that distance would be of 5,0%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(5,0%) = 500usd. It means, you have to use 500 usd for risking 2.5% of your account.
We will use this risk management for apply compound interest.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, supertrend or positions.
You will find the settings for risk management at the end of the script if you want to change something. But rebember, do not change values from indicators, the idea is to not over optimize the strategy.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
Signals meanings:
L for long position. CL for close long position.
S for short position. CS for close short position.
Tp for take profit (it also appears when the position is closed due to stop loss, this due to the script uses two kind of positions)
Exit due to break even or due to stop loss
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
The amount of trades closed in the backtest are not exactly the real ones. If you want to know the real ones, go to settings and change % of trade for first take profit to 100 for getting the real ones. In the backtest, the real amount of opened trades was of 194.
Indicators used:
Supertrend
Atr stop loss by garethyeo
This is the fist strategy that I publish in tradingview, I will be glad with you for any suggestion, support or advice for future scripts. Do not doubt in make any question you have and if you liked this content, leave a boost. I plan to bring more strategies and useful content for you!
The Flower - Multiple Strategy Options in OneStrategy Overview
This strategy code currently includes four separate strategies to be used to either aid in discretionary trading or to be used algorithmically through the third-party system Profitview (profitview.app). Support for Pineconnector for use with MetaTrader 4 is in the works. The strategies have been designed with cryptocurrency trading in mind, however, the fundamentals apply to other assets.
The four strategies currently included are labeled “TSI Cross” (the default setting), “Oscillator Bands”, “Scalping”, and “McG/MA Cross”. Detailed information for each independent strategy can be found below, including sample settings configurations for each. A dropdown menu to select the strategy can be found under the “Strategy Options” set of settings under the Input tab of the strategy settings menu.
Additionally, the option to receive only long or short signals can be found alongside the Strategy Choice menu.
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly.
The only visuals associated with the strategy are two McGinley Dynamic lines, red (slow length) and green (fast length). These are relevant to the McGinley Cross strategy, but can be used alongside the other strategies if desired.
When viewing the backtesting data in the TradingView Strategy Tester, ensure that “use bar magnifier” is activated. This option can be found in the Properties tab of the strategy settings menu.
Profitview Settings
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. A sample of our Profitview syntax can be found below.
To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Strategy Choices
As mentioned above, this strategy code contains four separate strategy options. A detailed breakdown of each follows below:
Total Strength Index (TSI) Cross
This strategy option is the default choice. The main signal involved in this strategy is a crossover or crossunder of the TSI value line and TSI signal line, however, there are a few other signals involved in the creation of a long or short entry. In addition to the TSI, the strategy includes an Average Directional Index (ADX) threshold value, Jurik Volatility Bands (JVB), a Stoch RSI threshold, and an oscillator of choice in conjunction with a threshold of 0. This oscillator choice can be selected under the “Signal Options” menu in the Input tab of the strategy settings. The default oscillator is the Detrended Price Oscillator (DPO), though the option for Chande Momentum (CMO) or Rate of Change (RoC) are both viable for this strategy.
Individual settings for these can be found in the Input tab under “Oscillator Settings” (TSI, Stoch RSI, DPO, CMO, ROC), “Band/Channel Settings” (Jurik Volatility Bands Length/Smoothing), and “Directional Settings” (ADX Smoothing Long, DI Length Short, ADX Threshold).
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings -- DPO Length (21), DPO *not* centered, RSI (Stoch) Length (4), Stochastic Length (4), TSI Long Length (25), TSI Short Length (13), TSI Signal Length (13), K (3), D (3)
- Band/Channel Settings -- Jurik Volatility Bands Length (25), Jurik Volatility Bands Smoothing (5)
- Directional Settings – JVB Price Threshold (0), ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (23)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Oscillator Bands
This strategy involves the usage of bands or channels that use oscillators as a source input. The main signal for this strategy derives from a cross of the band or channel and a hline of 0. Additionally, this includes a “Directional Filter” and a “MA Filter”. The selections for all of these can be found in the “Signal Options” section of the Input tab.
First option is for Oscillator Choice and includes DPO, CMO, ROC, RSI, TSI, and the Jurik price line. The individual settings for these can be found in the “Oscillator Settings” section. Different channels can be selected for the upper or lower bands, though it is not necessary for them to differ. These current options include Bollinger Bands and Jurik Volatility Bands, the individual settings for each found in the “Band/Channel Settings” section. Next is the MA Filter, of which you can select SMA, EMA, SMMA, WMA, VWMA, KAMA, JMA, or McGinley Dynamic. All options for these settings can be found in the “MA Filter Settings” section. Lastly, the Directional Filters can be selected for either direction like the upper/lower band selection. These filters include the ADX, Bull-Bear Power (BBP), Parabolic SAR (PSAR), or Jurik.
Sample settings for WAVESUSDT using the 20M timeframe:
- Oscillator Choice – DPO (Length – 30, uncentered)
- Upper and Lower Band – JVB Upper/Lower (Jurik Volatility Bands Length – 25; Smoothing – 10)
- MA Filter – VWMA – (MA Length – 40; Source – Open)
- Directional Filter – ADX (ADX Smoothing Long – 14; DI Length Short – 5; ADX Threshold – 22)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.3% SL
Scalping
This strategy heavily relies on the usage of Parabolic SAR, accompanied by a “Directional Filter” (as discussed in the previous section) other than PSAR. This strategy can provide a higher frequency of trades as opposed to the other strategies available, however, it comes with slightly higher risk inherently. A riskier take profit/stop loss spread is recommended here, though risk should always be managed. The settings required for this strategy are all found under the “Directional Settings” section of the strategy inputs.
Sample settings for NEARUSDT using the 20M timeframe:
- Directional Filter set to ADX
- Directional Settings – ADX Smoothing Long (5), DI Length Short (5), ADX Threshold (22), PSAR Start Value (0.02), PSAR Increment (0.005), PSAR Max Value (0.15), PSAR Source (Close)
- Take Profit/Stop Loss – 0.75% TP, 0.005% TTP, 1.5% SL
McGinley Cross
This strategy revolves around the crossing of two McGinley Dynamic lines of varying lengths alongside an ADX filter as well as a DPO filter. McGinley is used as opposed to a standard moving average cross strategy as it adjusts for shifts in market speed and can better gauge market trends. The McGinley length settings can be found with the “MA Filter” settings, labeled as Fast Length and Slow Length. The fast length number should be smaller than the slow length.
Sample settings for SOLUSDT using the 20M timeframe:
- Oscillator Settings – DPO Length (30), uncentered
- MA Filter Settings – McGinley Fast Length (4), McGinley Slow Length (21)
- Take Profit/Stop Loss – 0.85% TP, 0.005% TTP, 1.4% SL
Comprehensive Settings List
Date and Time: From date and to date, adjustable for backtesting purposes.
Signal Options:
Oscillator Choices: Chande Momentum Oscillator (CMO), Detrended Price Oscillator (DPO), Rate of Change (ROC), Relative Strength Index (RSI), True Strength Index (TSI), Jurik Volatility Bands Priceline (JVB) – *** for use with TSI Cross or Oscillator Bands strategies only ***
Upper and Lower Band/Channel Choices: Bollinger Bands (BB) or Jurik Volatility Bands (JVB) -- *** for use with Oscillator Bands strategy only ***
MA/McG Filter: SMA, EMA, RMA, WMA, VWMA, Kaufmann MA, Jurik MA, McGinley Dynamic -- *** for use with Oscillator Bands strategy only ***
Directional Filter Long/Short: Average Directional Index (ADX), Bull/Bear Power (BBP), Parabolic SAR (PSAR), Jurik -- *** for use with Oscillator Bands strategy only ***
Profitview Settings: *** For use with ProfitView extension only, otherwise ignore ***
Oscillator Settings: *** For use with TSI Cross, Oscillator Bands, and McGinley Cross strategies ***
CMO Length, CMO Source – for Chande Momentum Oscillator
DPO Length, DPO Centered – for Detrended Price Oscillator
RoC Length, RoC Source – for Rate of Change
RSI Length, RSI MA Length – for Relative Strength Index
RSI (Stoch) Length, Stochastic Length, Stoch RSI Source, K, D – for Stochastic RSI
TSI Long Length, TSI Short Length, TSI Signal Length – for True Strength Index
Band/Channel Settings: *** For use with Oscillator Bands strategy ***
Jurik Volatility Bands Length, Jurik Volatility Bands Smoothing – for Jurik Volatility Bands
Bollinger Band Length, Bollinger Band Multiplier – for Bollinger Bands
Directional Settings: *** For use with Scalping and Oscillator Bands strategies ***
JVB Price Threshold – for Jurik Volatility as a directional setting
ADX Smoothing Long, DI Length Short, ADX Threshold – for Average Directional Index
PSAR Start Value, PSAR Increment, PSAR Max Value, PSAR Source – for Parabolic SAR
MA Filter Settings: *** For use with Oscillator Bands and McGinley Cross strategies ***
McGinley Fast/Slow Length – for McGinley Dynamic
MA Length, MA Source, MA Offset – for any other moving average
TP and TTP / Stop Loss: *** For use with ALL strategies ***
Long/Short Take Profit % -- for standard take profit settings
Enable Trailing, Trailing Take Profit % -- for trailing settings
Stop Loss % -- for standard stop loss settings; trailing can be enabled or disabled for stop loss
Disclaimers:
Some open-source code has been included -- Jurik Volatility Bands (by "ProValueTrader") and Trailing Take Profit/Stop Loss code (by jason5480). Additional code was used from the TradingView built-ins.
These strategies do NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Invites to the strategy will only be disseminated to those with express consent and knowledge of the invite prior to the action itself.
[ChasinAlts]Top-Wicked Good S/R LinesHello Tradeurs, as per usual, I hope everyone is having a FAN-FRIGGIN-TASTIC day. With the soon incoming bull market approaching fast(Nov 7, 2022), there are a few ideas that I've really been trying to push out to help nail a few coins as they are near their bottom peak of this closing Bear Market. This one may seem very similar to the last one I posted but I think this one takes the cake...esp when you see the next script from my 'Market Overview' series that I will be publishing shortly after this one as it is utilizing this new script for a market scanner that will be SUPER legit and profitable. Though it is alway nice to be noticed, I'm glad that I'm relatively unpopular so the few people that are now following me can have some time to make some money with some of these scripts I'm trying to pump out for the benefit of the community. I will rarely give my full analysis of how I take in and utilize these scripts but I can tell you, QUITE A FEW of them are money in the bank. Esp these last few I've done/am doing and even more-so the ones that are soon to come (I'm speaking of about the next 3-4 that I will be attempting to pump out in this next VERY IMPORTANT week.). One more thing I'll add before going to the script is a little alpha(Im pretty certain this is the way it is going but NOTHING is EVERY 100% in life). What I believe should be realized is the bottoming out of MANY of the crypto coins at the VERY bottom of a LONG TERM Cup and Handle (so it seems but shat can still change in the blink of an eye). Thus there are quite a few coins that I believe have already bottomed and wont be returning to said bottom for a few years or so but there are also quite a few still at the brink of the bottomest part before the real market breakout occurs. My goal with these scripts coming out this week to help you all find those coins that have yet to hit their very bottom (thus the ATH/ATL script recently published). Going back in history looking for the lowest points of long term Cup & Handles I will point out 2 key things. Near the center/bottomest part of these historical CnH you will see either Double Bottoms OR a Huge dump and then its V-shaped recovery. After these print the point of no return has occurred where only a few coins will be going lower than these Double Bottoms/V-Shaped recoveries. So the time is at hand. Now that many coins are seemingly pumping after this long consolidation, I believe we need to keep a keen eye out for THE FINAL RUG PULL (as soon as enough degenerates are leveraging Long their entire savings.). What Im saying is be ready for this final rug pull to finally be seeing these Double Bottoms/V-Shaped recoveries VERY soon. DO NOT waste all your capital yet and MAKE SURE to use stop losses or else rather than stop losses you will be burdened with MUCH WORSE losses. Im currently not even in the market bc I am waiting on said rug pull. Ok for the Script now.
This script is similar to the last one but with the previous one, one general set of settings can produce VASTLY different results (might have 2 S/R lines on one coin and 80 on another). I wanted to fix that with this script, turn it into a "Market Overview" Scanner and create alerts for the MO Scanner to be able to get alerted any time a coin is passing its largest wick S/R levels bc DULY NOTE...it is VERY rare that a coin will blow past it if it hasn't approached it recently. That means that a small retrace of 3-5%(or more) is EASY to acquire (with leverage that can really add up with how many coins are in the Kucoin Margin Coin list that I have in my scanners). Now, once price does shoot through a level you best be sure to be looking down the line for a retest of the S/R level it blew past before as they are MANY times the retest level and price will be coming back to it before continuing
in the direction it was going. Depending on the TF your using this could be a few hours to a few days to a few weeks...you get it. With this script you can choose to draw S/R lines 2 ways: 1) by having it plot S/R lines on the end of the largest 2(3,4,5..however many you choose) wicks that the chart has access to. For the scanner ill just be putting the largest 2-3 wicks and set alerts when coming up to them/crossing them & 2) having it draw S/R lines on the ends of the largest X% of wicks. it will be erasing the lines and drawing new ones on each new candle occurrence so the same general settings will no longer be producing VASTLY diff amounts of S/R lines and will be way more consistent amongst the coins for better utilization with the scanner (when I publish it). There is also a Wick Max Cutoff % so for those coins that had it's first few hours printing 100% sized wicks...you can choose to ignore them so they are not taking up one of your top spots for the S/R lines. There is similarly a Wick % min Size that can be selected so if you’re using the top % setting, it will help decrease those coins that can be still plotting 30 lines even though the top 3% of the largest wicks are set in the settings. Hope Im being clear but it's easy enough. I believe in you and your capabilities of comprehending it all and getting it all figured out. So this script is for a visualization for the scanner that I will be uploading soon-after. It's always nice to get a few comments if my ideas/scripts have been helpful to you and please don't hold back if you have something to tell me that I screwed up on (I am still rather new to this coding thing but I like to think I at least have some fresh ideas that aren’t out there in the public library). Talk to you soon and may the force be with your trades. Peace and love people...peace and love. -ChasinAlts out.
