Swing Algo V1.2The next upgrade in the 'Swing Algo V1.x' series, and the go-to algorithm for trading ETH (until further notice). For differences to other versions, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe. Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much. For other assets and/or timeframes it is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm. You don't need any programming skills or similar abilities to navigate this indicator.
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-3 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months (as witnessed in 2020), the order of magnitude of the shown results is still realistic for long-term trend trading efforts. Do not expect these results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
Within this indicator you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 2 ticks (= $0.02) and a trading fee of 0.26 % (which is the worst taker fee on the Kraken exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Keep this in mind when evaluating the backtest data. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to other versions:
- Changed from a dual (V1, V1.1) to a single smoothing function system (V1.2, V1.3), which can react better to more sudden price movements that got prevalent during the current end-phase of the stock bullmarket due to correlations, while still handling 'normal' price action well
- Changed the oscillator part of the algorithm with a better suited one (at least) for the ETH/USD trading pair, handling chop better.
- Improved net profits by potentially +100% in comparison to V1 for ETH/USD on daily timeframe
- However for other assets (e.g. BTC and smaller coins like XTZ and ALGO) and timeframes V1 might perform better than V1.2 due to somewhat different characteristic price action. I leave you with all options to play so that you can find the best solution for a given trading pair.
- There's also an upgrade called Swing Algo V1.3, which works similar to V1.2, but reduces losses due to chop even further. Because V1.2 is a bit more flexible, it is, however, considered the go-to algo for the time being.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
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Swing Algo V1.3An upgrade of Swing Algo V1.2 to reduce chop heavily, used for trading ETH. For differences to other versions, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the ETH/USD trading pair on the daily (D) timeframe. Attention was also paid to stability, as all parameters are set onto plateaus, so that smaller changes in the characteristic price action should not affect the efficiancy too much. For other assets and/or timeframes it is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm. You don't need any programming skills or similar abilities to navigate this indicator.
For the here presented backtest data, we omitted the biggest portion of the cryptocurrency bullrun in 2017 (starting only at 1st July 2017) so that the results become more realistic for long-term swing traders (investing at least 2-3 years into trading) if such large runs do not happen again. As cryptocurrencies like Ethereum are still to this date capable of doing comparatively smaller runs of about 2-3x in a few weeks/months (as witnessed in 2020), the order of magnitude of the shown results is still realistic for long-term trend trading efforts. Do not expect these results in a matter of days or weeks, and of course as with any trading strategy past performances are not indicative of future results.
Within this indicator you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Default settings for the shown backtest are a starting balance of $1000, a slippage of 2 ticks (= $0.02) and a trading fee of 0.26 % (which is the worst taker fee on the Kraken exchange) to have realistic settings. However as we do not conduct many trades with this strategy, fees should not impact our performance too much. As long-term swing traders, we devote one initial portion of our portfolio to swing trading and from then on always use 100% of this portion for the next trade to get the compounding starting. This is in difference to other trading styles which use various, often very small, percentage values for their short- or mid-term trades. Keep this in mind when evaluating the backtest data. Also note that due to the small number of trades the statistical significance is low. It is not possible to gather an abundance of long-term trend signals in the order of hundreds or thousands trades, as much more time would have to pass for this in the case of rather new assets like Ethereum.
Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to other versions:
- Changed from a dual (V1, V1.1) to a single smoothing function system (V1.2, V1.3), which can react better to more sudden price movements that got prevalent during the current end-phase of the stock bullmarket due to correlations, while still handling 'normal' price action well
- Changed the oscillator part of the algorithm again with one that handles chop for the ETH/USD trading pair extremely well.
- Improved net profits by potentially +100% in comparison to V1 for ETH/USD on daily timeframe
- However for other assets (e.g. BTC and smaller coins like XTZ and ALGO) and timeframes V1 might perform better than V1.3 due to somewhat different characteristic price action. I leave you with all options to play so that you can find the best solution for a given trading pair.
- There's also a previous version called Swing Algo V1.2 considered the go-to algo at the moment, which works similar to V1.3, but operates a bit less tight, leading to more flexibility while suppressing chop not as much as V1.3.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
Gorb AlgoIntroduction:
Gorb Algo is an all-in-one trading indicator made up of classic technical analysis components such as moving averages, relative strength index, stochastic oscillator, and pivot points blended together to create a synergistic algorithm. Focused on providing useful signals & trading tool overlays to meet all trader's technical analysis needs. Each feature included can be changed to meet each traders strategy or market condition.
Overview:
The Gorb Market Trend isn't a simple trend-following tool; it's a sophisticated blend of traditional and innovative methods, providing comprehensive market analysis.
Its unique combination of EMA analysis, volume weighting, RSI, and stochastic indicators, along with proprietary algorithms, providing nuanced views in trend detection and trading confluences.
The indicator is designed for traders at all levels, offering a balance of depth for experienced traders and simplicity for beginners.
Centerpieces: Gorb Market Trend & Volume Strength
These use a color-coded system to indicate market direction/strength. The color: white is used to signal upward/bullish trend, while the color: purple is used to signal downward/bearish trend. It is designed for ease of use, simplifying complex market data into an easy visually understandable format.
How the Gorb Market Trend Works:
Moving averages are used to find convergence or divergence on multiple EMA's to help determine the overall market direction. Relative Strength Index is used to assess the speed and change of price movements to add another layer to the Market Trend lines identification of the markets analysis. It then plots a line using just two colors to provide traders with a visual representation of the trend. This can help traders quickly grasp the current market trend with simple color cues.
How the Volume Strength Works:
A stochastic oscillator is used to measure the current price level relative to its price over a specific range period to capture sentiment and potential reversals for the Trend Strength feature. And the final part is the use of VWAP and volume analysis to ensure that identified trends are not only based on price movements but are also supported by trading volume, adding a layer of reliability to the trend signals. These are then plotted at the bottom of the chart following the same color scheme as Gorb Market Trend. Only difference is, when volume strength begins to decline, the color will be more transparent, and when it is strong, the color will be bright.
Custom Algorithmic Elements:
The Gorb Market Trend isn't just a combination of standard indicators. It includes proprietary algorithmic elements tailored to enhance signal accuracy and timing. These unique components are what set the Gorb Market Trend apart from conventional trend-detection methods.
We recommend exploring every feature to pick & choose what best suits your needs and style of trading, and use that to combine with the Market trend line.
Features:
All skill-level friendly presets, easy to enable features with one-click
Trading Signals: Plotted signals to help traders identify changes in trend on the Gorb Market Trend Line (not to be followed blindly)
Match Volume Color: allows the user to enable signals to appear only if they match the trend strength's color
Enable MA Filter: allows the user to use 2 EMA's to create a custom trend filter in order to limit contrarian signals with the current trend
Chop Filter: allows the user to have a specific candle range of their choice to limit signals during sideways price movement
4 EMA's: allows the user to plot up to 4 EMA's on the chart and change to the users specific trading strategy with the Market Trend line
VWAP: allows users to plot VWAP on their chart to visually see where price is relatively
EMA Clouds: allows users to fill the gap between EMA's plotted on the chart to help them visualize zones for entries or stop-losses
Pivot Points: allows users to have pivots on their chart to use in tandem with market trend line to find areas of support and resistance to help find confluence in their trading
All colors are changeable for the user to customize the scheme to their liking or style
Basic Signals, Market Trend & Volume Strength Demonstration
In the image below, we can see a basic example of how these 3 core features function.
As explained above, the trade ideas are only generated if the user enables them. They will plot as small triangles in real time and are directly correlated to the market trend line coloring in order to quickly see the change in market conditions.
The volume strength on the bottom helps identify the strength and momentum of the market condition. This can also be used to identify possible fake-outs or small pullbacks before price continues on. The brighter the volume strength the stronger it is, when it is dimmer, that means volume is decreasing in that direction. This can help traders identify signals they may not want to trust as much.
Trading Tool Overlays with Signals
In the image below, we have enabled the EMA's and VWAP overlays from the settings. By using these tools, users can add more confluence to create their trading strategies
The EMA's are not only used for the market trends, trend filter. But also used as an additional confluence for general trend following purposes alongside the trade idea signals. These can be extremely useful for traders who like to have different length moving averages depending on their timeframe for analyzing the market.
In this next image, we can see that price dips down and then bounces up. With EMA clouds enabled, the user can now have visual zones to look for trade entries in.
When paired with the market trend line and trade idea signals, this adds a whole other level of easy visual trading confluence for traders. You can see that market trend changes color and a trade signal is plotted when price enters these zones. This can be helpful to a trader looking to find confluence in their entries.
The image below shows specific pivot levels being plotted when the user enabled pivots in the settings of the indicator.
The pivot levels proved an excellent area of support/resistance for traders that are generated fresh every day. These are particularly useful for areas that line up with previous tools above and trade signals. This overlay gives traders a clear level that can be used to confirm entries and create targets to exit trades at. These levels when combined with the other tools in this indicator provide traders an all-in-one visual confluences. Some traders may just use this overlay to have an idea on the range for the trading session.
Filters:
There are 3 different trade signal filters integrated into this indicator
1. Match Volume Color: When enabled, signals can only be valid and plotted if the volume strength color matches the market trend line signal. Otherwise the signal will not appear, this limits possible fake-outs without having volume agree.
2. MA Filter: When enabled, this removes an contrarian signals to the current market trend per the settings of the filter. The EMA settings for this filter can be changed by the user for them to customize this to their trading strategies. There are two settings, short ema and long ema to define the trend.
3. Chop Filter: When enabled, this disables signals that would normally appear in sideways price action. This setting is also customizable by the user; there are two settings: candle period and threshold. The candle period is how many candles back does this filter want to look to define its range. The threshold, is the amount of price deviation is allowed from this range in order to disable a signal.
Conclusion:
We believe in providing an all inclusive trading tool to help simplify trading for all traders. The goal is to provide a user-friendly, efficient tool that provides insights into market trends. For it to stand out for its simplicity and effectiveness, as a support tool for decision making.
How to get access:
You can see the Author's instructions to get access to this indicator
RISK DISCLAIMER
All content, tools, scripts & education provided by Monstanzer or Gorb Algo LLC are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
Angel Algo PremiumAngel Algo provides a set of tools, combined into one solution. Each tool complements each other and is made to uniquely support your trading decisions for your daily trading tasks. You can immerse yourself into our customizable tools to create your own strategies using them.
With Angel Algo you can:
* Find trend direction using three different algorithms designed for trend following, swing and intraday traders.
* Determine market sentiment, overall trends and volume with our full custom dashboard.
* Get real-time support and resistance levels plotted automatically
* Get trend confirmation using one of the two custom candle coloring algorithms
Trading signals
We have 3 different algorithms for entry signals you can choose from
Regular Buy And Sell Signals
Our regular Buy And Sell Signals are finding optimal times to enter for any security. This algorithm uses our original trend filter based on market volatility that adapts to different assets and market conditions.
We give traders the ability to adjust the sensitivity and aggression of these signals to market price changes, as well as the option to make them less sensitive to ranging markets so you can adjust to any market.
We added Auto Best Settings toggle to automatically optimize the settings for you if you'd like.
By adjusting the sensitivity and aggression parameters you can adopt the signal algorithm to different trading styles. For trend following which tries to capitalize on longer trends you should make the signals to be less frequent by adjusting this parameters. The settings that lead to more frequent signals suit to swing trading style.
Strong Signals Algorithm
The Strong Signals use an algorithm based on trend filtering coupled with confirmation signal based on higher time frame trend direction. It finds "Strong" buy or sells that are a tad different from the regular buy & sell signals you will see, a lot of the time they land on top of each other which can be used as an extra confirmation tool. Traders can also use this as a stand alone on higher timeframes.
Angel Intraday algorithm
We constantly try to push Pine script to its limits developing new features. Angel Intraday is our machine learning algorithm in beta that scans for intraday contrarian signals.
To find entry points it forecasts price range for a trading session using linear regression analysis and Kalman filtering.
If an asset is trading 24 hours a day it works with 12 hour sessions, for stocks it forecasts a price range for 7 hour trading sessions which represent the full trading day.
You can use this algorithm to get intraday trading signals for any asset. One of the advantages of this algorithm is that it gives identical signals for all intraday timeframes. The optimal time frames to view the signals and to enter positions are any.
What is the information in our Dashboard?
We offer real-time dashboard showing useful information to analyze market conditions:
- Angel Algo Trend Detection
- Directional Movement
- Angel Cloud for moving average detection
- Relative Volume
- Overall Market Sentiment
All of this information is aimed to help traders understand when the market regime is changing. The first three features help you to judge about trend strength. Relative volume shows current activity of market participants. Overall market sentiment reflects the actual bias for market direction.
Trend weakness, low market activity and neutral sentiment are the signs that can help you in early detecting of ranging market and avoid false trend signals or switch to contrarian mode.
The tools provided by Angel Algo are designed to help you perform rational actions based on the market data in a systematic way and to reduce emotional factor in your trading.
Using this script, please, keep in mind that that past performance does not necessarily represent future results and that there are trading.
Swing Algo V1.1Here I present an upgrade to 'Swing Algo V1'. For differences to V1, see below.
This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the $ETH/$USD trading pair on the daily (D) timeframe. It is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm for other assets and timeframes. You don't need any programming skills or similar abilities to navigate this indicator.
Also you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
Note: In general it seems that cryptocurrencies are rather swing-algorithm-friendly, while I cannot recommend trading classical assets like stock or indices (e.g. S&P 500) with this indicator (although you can of course try to find good setups).
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my Twitter profile linked on my TradingView profile or in my signature.
Differences to Swing Algo V1:
- Changed the oscillator part of the algorithm with a better suited one (at least) for the ETH/USD trading pair.
- Improved net profits by roughly 20% in comparison to V1 for ETH/USD on daily timeframe
- Reduced Max. Drawdown by roughly 1/4 in comparison to V1 for ETH/USD on daily timeframe
- However for other assets and timeframes V1 might perform better than V1.1. I leave you with both options to play so that you can find the best solution for a given trading pair.
For access please contact me via DM on TradingView or on Twitter (linked on my TradingView profile and my signature). People who purchased access to any 'Swing Algo 1.x' get access to all other 'Swing Algo V1.x' indicators automatically ('Swing Algo V1' counts as 'Swing Algo V1.0').
Statistical Correlation Algorithm - The Quant ScienceStatistical Correlation Algorithm - The Quant Science™ is a quantitative trading algorithm.
ALGORITHM DESCRIPTION
This algorithm analyses the correlation ratios between two assets. The main asset (on the chart), and the secondary asset (set by the user). Then apply the long or short trading strategy.
The algorithm divides trading work into three parts:
1. Correlation analysis
2. Long or short entry
3. Closing trades
Inside the strategy: the algorithm analyses the percentage change yields from a previous session, of the secondary asset. If the variation meets the set condition then it will open a long or short position, on the primary asset. The open position is closed after 'x' number of sessions. Stop loss and take profit can be added to the trade exit parameters.
Logic: analyses the correlation between two assets and looks for a statistical advantage within the correlation.
INDICATOR DESCRIPTION
The algorithm includes a quantitative indicator. This indicator is used for correlation analysis and offers a quick reading of the quantitative data. The blue area shows the correlation ratio values. The yellow histograms show the percentage change in the yields of the main asset. Purple histograms show the percentage change in secondary asset yields.
GENERAL FEATURES
Multi time-frame: the user can set any time-frame for the secondary asset.
Multi asset: the user analyses the conditions on a second asset.
Multi-strategy: the algorithm can apply either the long strategy or the short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated indicator: the quantity indicator is included.
Backtesting included: automatic backtesting of the strategy is generated based on the values set.
Auto-trading compliant: functions for auto trading are included.
USER INTERFACE SETTINGS
Through the intuitive user interface, you can manage all the parameters of this algorithm without any programming experience. The user interface is extremely descriptive and contains all the information needed to understand the logic of the algorithm and to configure it correctly.
1. Date range: through this function you can adjust the analysis and working period of the algorithm.
2. Asset: through this function you can adjust the secondary asset and its time-frame. You can enter any type of asset, even indices and economic indicators.
3. Asset details: this function is used to adjust the percentage change to be analyzed on the secondary asset. The analysis and input conditions are also chosen.
4. Active long or short strategy: this function is used to set the type of strategy to be used, long or short.
5. Setting algo trading alert: with this function, users can manage alerts for their web-hook.
6. Exit&Money management: with this function the user can adjust the exit periods of each trade and activate or deactivate any stop losses and take profits.
7. Data Value Analysis: this function is used to adjust the parameters for the quantity indicator.
TrendR - Algo v6
Overview
The TrendR Algorithm is a sophisticated trend-following trading strategy implemented in Pine Script for TradingView. This professional-grade algorithm combines advanced trend detection, comprehensive risk management, and intelligent market condition filtering to deliver consistent trading performance across various market conditions.
Core Algorithm Architecture
Volatility-Adaptive Band System
The algorithm incorporates a sophisticated volatility measurement system that adapts to changing market conditions.
Intelligent Trend State Management
The TrendR algorithm features a sophisticated trend state tracking system with hysteresis to prevent false signals.
Advanced Risk Management System
Professional 1:3 Risk-Reward Framework
The algorithm implements a comprehensive risk management system designed for professional trading.
Customizable Risk-Reward Ratios : Default 1:3 ratio with user adjustment from 1:1 to 1:10
Percentage-Based Stop Loss : Configurable stop loss distance as a percentage of entry price (default: 2%)
Dual Take Profit Methods :
- Risk-reward ratio based calculation (recommended for consistent risk management)
- Fixed percentage take profit for advanced users requiring specific targets
Automatic Order Management : Seamless integration with TradingView's strategy engine for precise execution
Position Management Features
Entry Price Tracking : Precise entry price recording for accurate SL/TP calculations
Dynamic Level Updates : Real-time calculation and display of stop loss and take profit levels
Position Size Control : Configurable position sizing based on account equity percentage (default: 1%)
Commission and Slippage : Built-in consideration for realistic trading costs (0.1% commission, 3 ticks slippage)
Risk Management Calculations
The system employs sophisticated mathematical models for risk calculation:
Stop Loss Distance : Calculated as percentage of entry price for consistent risk exposure
Take Profit Distance : Dynamically calculated based on stop loss distance multiplied by risk-reward ratio
Position Sizing : Maintains consistent risk per trade through percentage-based allocation
Risk-Adjusted Returns : Optimizes for risk-adjusted performance rather than absolute returns
Entry and Exit Management
Automatic Position Closure : Intelligently closes opposing positions before entering new trades
Risk Management Integration : Automatically places stop loss and take profit orders upon entry
Order Sequencing : Ensures proper order execution sequence to prevent position conflicts
Alert System : Comprehensive alert notifications for entry, exit, and risk management events
Signal Quality Enhancement
The algorithm incorporates multiple layers of signal filtering:
Volatility Filtering : Adjusts signal sensitivity based on current market volatility
Trend Strength Assessment : Evaluates trend momentum before signal generation
False Signal Reduction : Employs hysteresis mechanism to prevent whipsaw trades
Market Condition Awareness : Adapts signal generation to current market regime
Visual Enhancement System
Chart Visualization Features
The TrendR algorithm provides extensive visual feedback for enhanced trading decision-making:
Trend Line Plotting : Dynamic trend lines with color-coded direction indication
Basis Line Display : Central reference line showing the calculated trend basis
Support/Resistance Levels : Visual representation of dynamic support and resistance levels
Risk Management Levels : Clear display of stop loss and take profit levels with color coding
Color-Coded Market States
Bullish Trend : Green coloring system for upward trend conditions
Bearish Trend : Red coloring system for downward trend conditions
Gradient Background : Intensity-based background coloring showing trend strength progression
Bar Coloring : Optional candlestick coloring based on current trend direction
Information Display System
Signal Labels : Clear entry point markers with integrated risk management information
Risk Management Table : Real-time display of current position parameters and risk metrics
Dynamic Updates : Live updating of all visual elements as market conditions evolve
Performance Metrics : Visual representation of strategy performance statistics
Risk Management Configuration
Enable/Disable Toggle : Complete control over risk management system activation
Risk-Reward Ratio : Customizable from 1:1 to 1:10 with 0.1 increments (default: 1:3)
Stop Loss Percentage : Adjustable from 0.1% to 10% with 0.1% increments (default: 2%)
Take Profit Method : Choice between ratio-based or fixed percentage calculation
Fixed Take Profit : Alternative percentage-based take profit (range: 0.1%-20%, default: 6%)
Visualization Controls
Color Customization : User-defined colors for bullish and bearish market conditions
Display Toggles : Individual control over bars, background, signals, and risk levels
Chart Elements : Selective display of various algorithm components
Information Table : Configurable display of real-time strategy metrics
Alert and Notification System
Comprehensive Alert Framework
The TrendR algorithm provides multiple alert types for different trading scenarios:
Entry Signals : Immediate notifications for long and short entry opportunities
Risk Management Alerts : Specific alerts for positions with active risk management
Position Risk Alerts : Advanced warnings when positions approach stop loss levels
Strategy Alerts : Dynamic alerts with real-time risk management data integration
Alert Message Architecture
Static Alerts : Consistent alert messages for basic signal notifications (compatible with Pine Script requirements)
Dynamic Strategy Alerts : Real-time data including entry prices, SL/TP levels, and risk ratios
Risk Event Alerts : Specialized notifications for stop loss and take profit activations
Market Condition Alerts : Notifications for significant market regime changes
Performance Characteristics
Optimal Market Conditions
The TrendR algorithm demonstrates exceptional performance in:
Trending Markets : Clear directional moves with sustained momentum and defined trend channels
Medium to Long-term Timeframes : Reduced noise environment with clearer trend identification
Volatile Assets : Benefits from volatility-adaptive band system and dynamic risk management
Liquid Markets : Optimal execution environment with minimal slippage impact
Algorithm Strengths
Trend Following Excellence : Captures major market moves with minimal lag through advanced EMA system
Risk Management Integration : Professional-grade position protection with customizable parameters
Market Adaptability : Automatically adjusts to changing market volatility conditions
Visual Clarity : Comprehensive chart visualization system for enhanced decision support
Customization Flexibility : Extensive parameter adjustment capabilities for different trading styles
Performance Metrics
Win Rate Optimization : Designed to maximize risk-adjusted returns rather than win percentage
Drawdown Control : Risk management system limits maximum position risk exposure
Profit Factor Enhancement : 1:3 risk-reward ratio improves overall profit factor
Consistency : Standardized risk per trade creates predictable performance patterns
Implementation Details
Technical Specifications
Platform : TradingView Pine Script v6 with full strategy functionality
Strategy Type : Overlay strategy with integrated risk management system
Position Sizing : Percentage of equity based with configurable allocation
Commission Model : Percentage-based commission structure with realistic slippage modeling
Execution Model : Market orders with automatic stop loss and take profit placement
Backtesting Framework
Date Range Control : Configurable start and end dates for comprehensive historical testing
Performance Metrics : Detailed strategy performance analysis with risk-adjusted metrics
Risk Analytics : Comprehensive risk measurement including maximum drawdown and Sharpe ratio
Trade Analysis : Individual trade performance tracking with entry/exit analysis
Code Architecture
The implementation follows professional software development principles:
Modular Design : Separate functions for trend calculation, risk management, and visualization
Single Responsibility : Each function handles a specific aspect of the algorithm
Clean Code Structure : Well-organized sections with comprehensive commenting
Error Handling : Robust handling of edge cases and market conditions
Implementation
OnePunch Algo Momentum Indicator V1This is another Plugin from One Punch Algo Team. We call it OnePunch Algo Momentum Indicator V1.
Basic Use:
One Punch Algo Momentum Indicator plugin is used for momentum stocks and high volatility crypto. It provide signals based on Simple Moving Average, Volume, Support & Resistance Lines.
SIGNALS/ALERTS
Buy Signal: Purple Color uptrend icon gives you a signal of an up-trending movement or we call it momentum movement. This signal basically happen when a stock land in a high volatility zone. We use in-build systems such as SMA, Support and Resistance and Trends to come up with the Buy Signal.
Sell Signal: Gray Color downtrend icon gives you a signal of a downtrend movement.
Other Lines Shown in the Diagram:
Red Line is the 200 Day Simple Moving Average (SMA)
Green Line is the 50 Day Simple Moving Average (SMA)
Strategy Tester
Always make sure to use the strategy tester to test how historically our Algo has performed in different time frames. One Punch Algo Momentum Indicator provide the ability to backtest based on certain time periods. This allows you to backtest our Algo vs some other Algo to find which performed well for the given time period, you if you want to see buy and hold performance better than the use of an Algo. This is a strong tool to use for your analysis of a stock or crypto.
What are the timeframes where it is most effective?
Different Stocks or Crypto perform differently with One Punch Algo Momentum Indicator. Please make sure to backtest a stock or crypto before you use the strategy.
Short Term/Day Trading Setup
For Short Term or Day Trade: 1min, 5min, 15min & 30min candlesticks works really well.
Also 3min, 5min, 7min and 15min works as well
Mid Term Trading Setup
For Mid-term traders: 30min, 1hr,2hr, and 4hr setup works really well.
For Long Term Trading Setup
For long term traders: 4hr, 1D, 1Week and 1Month Setup works well.
Best used with Heikin Ashi or Candlestick charts.
DISCLAIMER: Stocks and options trading involves substantial RISK of LOSS and is NOT suitable for every investor. The valuation of stocks and options may fluctuate, and, as a result, clients may lose more than their original investment. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account. You are responsible for all the risks and financial resources you use and for the chosen trading system. You should not engage in trading unless you fully understand the nature of the transactions you are entering into and the extent of your exposure to loss. If you do not fully understand these risks, you must seek independent advice from your financial advisor.
All trading strategies are used at your own risk. And OnePunch ALGO Developer, Youtuber or the channel does NOT take any responsibility for your losses using any of the advice or suggestions or strategies are shown/said in any of OnePunch ALGO Youtuber or the channel videos.
Swing Algo V1This indicator can be used for e.g. swing algorithmic trading. It will give Buy/Long and Sell/Short signals on the chart. This algorithm uses a combination of several (custom) functions and rules to find good entry points for trend trading. After many iterations and tests I came up with this particular setup, which is highly optimized for the $ETH/$USD trading pair on the daily (D) timeframe. It is however possible to change algorithmic parameters within the indicator settings to tune this swing algorithm for other assets and timeframes. You don't need any programming skills or similar abilities to navigate this indicator.
Also you can choose the backtest time interval to test the perfomance of this algorithm for different time windows and different trading pairs. Here various backtesting parameters (e.g. trading fees) can be customized. Additionally to the TradingView Strategy Tester you can also plot your equity directly on the chart to get a sense for the performance. For this you can also scale the equity graph to e.g. match the starting point of your equity with some price point on the chart to get a direct comparison to 'Buy & Hold' strategies over time.
Note: In general it seems that cryptocurrencies are rather swing-algorithm-friendly, while I cannot recommend trading classical assets like stock or indices (e.g. S&P 500) with this indicator (although you can of course try to find good setups).
This indicator (and all other content I provide) is no financial advice. If you use this indicator you agree to my Terms and Conditions which can be found on my twitter profile linked in my signature.
Flux Charts SFX Algo (Premium)Flux Charts SFX Algo indicator is a comprehensive and sophisticated all-in-one toolkit designed to cater to all the technical analysis needs of traders. Developed and designed by Russell W., head developer at Flux Charts.
The Flux Charts SFX Algo indicator stands apart with its unique ability to seamlessly integrate with various forms of technical analysis, while also offering the option to function as a standalone toolkit adaptable to any trading style. The indicator has been designed to take into account the dynamic nature of market conditions, ensuring that every feature included remains relevant, reliable, and effective.
Traders have countless possibilities when utilizing this indicator, allowing for the exploration and analysis of an array of cutting-edge features over time. This enables traders to selectively employ the features that align best with their individual trading styles and build a personal trading strategy.
The Flux Charts SFX Algo indicator is set to revolutionize the way traders approach technical analysis, providing them with the tools and insights needed to navigate complex financial markets with confidence and precision.
Flux Charts SFX Algo works in all markets (stocks, crypto, forex, futures, bonds, options, etc) and has many features including:
Buy signals (Not to be followed blindly)
Sell signals (Not to be followed blindly)
Buy & Sell Signal Ratings (Higher rating doesn't necessarily mean a "better" signal)
Algorithm Weighting Customization
Algorithm Sensitivity Customization
Algorithm Signal Strength Filter
Take Profit signals
Take Profit Retest signals
Take Profit Level Optimization
Trend Candle Coloring
Volatility Bands
+ more
What it does
The indicator uses an Adjusted Weighted majority algorithm to generate "buy" and "sell" signals. The algorithm takes into account several market metrics and weights them based on their recent performance. How far back the algorithm checks is based on the “Time Weighting” setting. This allows users to choose between having more data points or having more recency bias within the algorithm, but less data to decipher.
How it works and what differentiates it
There are many popular strategies in the market all of which go in and out of successful periods. The SFX algorithm effectively uses popular indicators or "experts" and weights them using a period decided through the "Time Weighting" Setting. The "experts" include popular indicators that cover Momenutmn, ATR trends, and EMA trends. Adjusted Weighted Majority typically weighs only through binary events however the SFX also uses a dynamic system to punish larger losses. The total weighting is then used to confirm a signal is agreeing with the most successful "experts" or indicators within the time period. This effectively will filter poor signals during periods of underperformance compared to other indicators and the converse during performant periods.
This weighting algorithm was inspired by the Princeton University lecture "Multiplicative Weight Algorithm" by Sanjeev Arora!
Usage
CME_MINI:ES1! 3 minute timeframe, July 7 2023.
Indicator Settings: (Sensitivity: 70, Signal Strength: 40, Time Weighting: Recent Trends)
The star-rated signals show the strength of the signals based on our weighting system
The colored candles (green & red) simplify the market into basic uptrends/downtrends
The volatility bands show areas of potential reversals
The volatility bands also show potential breakouts (Tight bands = consolidation, which could lead to an impulsive move)
The take profit signals suggest areas where profits should be taken in a trade
Settings and their Usage
Algorithm Settings Explained
Sensitivity determines how frequently signals appear. A higher sensitivity would lead to more frequent signals (Buy & Sell) appearing on your chart
Signal Strength helps filter out low-rated signals based on our Stochastic Weighting Algorithm. A higher signal strength will lead to fewer signals on your chart. A higher-rated signal doesn't necessarily make it a better signal than a lower-rated signal.
Time Weighting allows you to choose how much historic data you want the indicator to use when interpreting data for the signals. There are three options to choose from including:
- Recent Trends
- Mixed Trends
- Longterm Trends
Using the "Recent Trends" option will only use recent market data when looking at the market metrics our algorithm uses for generating "Buy" and "Sell" signals. Thus, there will be a recency bias which means the metrics the algorithm is weighing more heavily have recently performed well.
Using the "Longterm Trends" option will use more historic market data when looking at the market metrics our algorithm uses. This will give more data points for the algorithm to use, but it won't count for recent performances, but rather an overall performance in the past. Thus, if one metric has been doing poorly recently, it will still receive the same weight, even though it was performing well at the start of our lookback period for data.
Using the "Mixed Trends" option will give you a choice that is in between these two options. This will give you a good balance between having enough data points for market metrics, while also sustaining a good bit of market recency bias.
[Bybit] Gainzy Intraday Momentum AlgoOverview
This algorithm uses a single unorthodox moving average that I created by modifying an obscure moving average.
It is meant to be used on intraday time frames.
Signals
Green column: buy signal
Red column: sell signal
Wait for a candle to close in order for the signal to be confirmed
Profit tracking
The background tracks the profitability of the algorithm over the last 5000 candles or so
Every time a new signal is confirmed it updates the net profit (minus the commission)
Net profit is shown as a percentage of your starting balance. For example, say your starting balance is $1.00. Your current balance is $1.50. Net profit will appear as 50%.
Percent commission is the fee charged for entering a position using a market order. It is set to 0.75% by default.
Specifications
Net profit is based on using the entire account balance and compounding gains
For example, your balance is $100. You receive a buy signal and go long for $100. Price goes up a little over 10% and you receive a sell signal. You close your long position. Your new balance is $110. You now open a short position for $110. You have compounded the gains of your previous long position into your new short position.
Backtesting
You can view the profitability of this algorithm by Day / Week / Month / Quarter / Year / All-Time
If you choose the monthly Interval, on the final day of the month, it will display the realized profit of this algorithm. Unrealized profit will not be included. For example, if you are up 50% on the month and in a trade that is currently up 10%, net profit for the month will be shown as 50%. The 10% of unrealized profit will be carried over into the first trade of the following month.
TUE Argentum Algo V1This algorithm is designed to look trend for opening conditions, apply various filters including volume and volatility, then determine stop outs, break evens, and take profits.
The algorithm uses proprietary math based on the concepts of volatility, standard deviations, average true ranges, and volume to help determine trend. You can filter based on cumulative volume delta, volatility, and moving average based trend. It includes settings for either trend following or contrarian trades, and the ability to go long, short, or both.
The take profit areas are based on proprietary math that help find peaks and valleys. You can adjust the size of the take profits as a percentage of the position, change to static take profits (i.e. take profit in 16 ticks), or use both. You can also disable them and use the natural closing conditions of the trades (detection of trend change in the opposite direction).
Our algo works in any market and will allow user to adjust input settings to be used on any ticker they'd like. It is built as a strategy so you can back test on any ticker to find the exact right settings to dial it in and then switch to live trading mode to see signals. Can be used for day trades or swing trades.
Automated Trading
This algo has been tested and certified to work for automated trading.
Works on Forex
It's confirmed to work on forex so you can trade that market.
Gets you into long successful trades, and gets out of poor ones quickly
It keeps you in the long trades taking small profits along the way, but cuts losers quickly in comparison. This style leads to a high profit factor.
It looks at many variables so you don't have to
- Uses trend analysis for opening/closing conditions.
- It measures the strength of trends to help determine if it should enter or not.
- It uses volume, if the user wants, to help filter entries. The volume calculation is based off of my proprietary cumulative volume delta indicator and helps find if the volume is moving long or short.
- It uses proprietary take profit math to help find peaks and valleys to peel off profits. It is based on the changes in momentum of the underlying.
- It allows for stop outs and break evens based on volatility so they'll always adjust with the movement of the underlying ticker (see the blue lines above and below the opening in the chart).
- It allows for offset break evens to keep a portion of the profit.
Strategy for the Algo
Included so you can understand how to trade with it.
ONE: After loading this strategy onto a ticker turn off volume if it's a ticker with no volume , set the dates at the bottom to when the stock is active (you want to start backtesting when a stock started trading like it trades currently).
TWO: From there adjust the short term trend settings to find the highest win rate and profit factor.
THREE: Then adjust the volume length to find the highest win rate and profit factor. It's important while doing these that you pay attention to a smooth upward equity curve.
FOUR: After this has been done now adjust the long and short risk multipliers. This determines your stop out.
FIVE: Then adjust breakeven multipliers - this is the level at which it changes to a breakeven stop out instead of the previous one. You can also set an offset to keep a small part of the profit.
SIX: Finally adjust the take profit sizes.
SEVEN: Once this is all done go back through the list and adjust up and down by one or two clicks and see if a better curve can be obtained. Very frequently long and short trades have different settings.
EIGHT: When you are finished save the settings in a custom indicator template and put it with it's own chart.
Additional
The settings shown on screen are not the default settings, but are settings chosen for this ticker and timeframe based on the process above. Nearly every ticker and timeframe will require adjustment from default, that's why the algorithm is built to be highly flexible. It can fit any ticker and timeframe, as well as market environment.
This particular setup has the algo running a scalping program on ES 3 min with a 16 tick static target. This algorithm can be set up as a scalper, or used to day trade more regularly. It can also swing trade.
As shown here the algo includes $1.25 of commissions and 1 tick of slippage on all orders (about our average for automated trading on ES).
AT_MR-15m-ALGO Strategy IndicatorsThis strategy includes systems based on the return-to-mean method.
It creates BUY-SELL signals by getting approval from volatility, trend, momentum, volume, incompatibility and artificial intelligence formations in the system.
Unaffected by Pump and Dump (extreme spikes and dips). In some cases, it can turn this into an opportunity.
Our loss rates in transactions are minimized by algorithms. In other words, it has minimized the loss rates in the position with the stop loss systems and artificial intelligence in it.
IMPORTANT NOTE:
1-) In order for our indicator to be used efficiently, it is necessary to optimize its parameters on a monthly basis. It is offered to you by optimizing regularly by our technical team every month so that it can work efficiently in variable market conditions. Non-optimized systems do not work efficiently in new market conditions.
2-) Strategy should definitely be used on 15-minute charts. Otherwise, it will lead to losses!!!
Turkish Information:
Bu strateji ortalamaya geri dönüş metodu üzerine kurulmuş sistemleri içerir.
Sistem içerisindeki volatilite, trend, momentum, hacim, uyumsuzluk ve yapay zeka formasyonlarından onay alarak AL-SAT sinyallerini oluşturur.
Pump ve Dump(aşırı ani yükselişler ve düşüşler) durumlarından etkilenmez. Bazı durumlarda bunu fırsata çevirebilir.
İşlemlerdeki zarar oranlarımız algoritmalar tarafından minimize edilir. Yani, içerisinde bulunan zarar durdurma sistemleri ve yapay zeka ile pozisyondaki zarar oranlarını minimuma indirmiştir.
ÖNEMLİ NOT:
1-) İndikatörümüzün verimli bir şekilde kullanılabilmesi için her ay düzenli bir şekilde parametrelerinin optimizasyonunun yapılması gerekiyor. Değişken piyasa koşularında verimli çalışabilmesi için her ay düzenli olarak teknik ekibimiz tarafından optimizasyonu yapılarak sizlere sunulmaktadır. Optimize olmayan sistemler yeni piyasa koşullarında verimli çalışmazlar.
2-) Strateji kesinlikle 15 dakikalık grafiklerde kullanılmalıdır. Aksi taktirde kayıplara yol açacaktır!!!
Angel Algo PSARHello, wanted to drop this self learning PSAR Algorithm for you guys
This input is equivalent to "Max Value" in the built-in SAR . It's fairly self-explanatory.
This is the acceleration factor's limit.
I kept it at 0.2 like the standard. You won't typically notice much of a difference when changing this value, unless you decrease it.
The inputs control your date and time settings for the "learning" phase.
The start and end times are also displayed within the info panel.
You can also select your timezone for this. By default, it uses the exchange's timezone. But you can set a custom time zone for this as well.
When time is within this range, the optimizer is actively running and identifying the best settings for start and increment. Once time is outside of this range, the values are finalized.
The last input group is for the info panel.
From here, you can toggle it, as well as select size and colors.
Naturally, this script is quite different from your "run of the mill" PSAR since it uses a form of algorithmic learning to automatically identify the best settings. Or in other words, the inputs are optimized to deliver the best returns over the testing range.
Leave a like or comment!
Had to update the this public script
Orion AlgoOrion Algo is a next-gen trading algorithm designed to help traders find the highs and lows of the market before, during, and after they happen. We wanted to give an indicator to people that was simple to use. In fact we created the algorithm in such a way that it currently only needs a single input from the user. Since no indicator can predict the market perfectly, Orion should be used as just another tool (although quite a sharp one) for you to trade with. Fundamental knowledge of price action and TA should be used with Orion Algo.
Being an oscillator, Orion currently has a bias towards market volatility. So you will want to be trading markets over 30% volatility. We have plans to develop future versions that take this into account and adjust automatically for dead conditions. Also, while there are some similarities across all oscillators, what sets ours apart is the prediction curve. The prediction curve looks at the current signal values and gives it a relative score to approximate tops and bottoms 1-2 bars ahead of the signal curve. We also designed a velocity curve that attempts to predict the signal curve 2+ bars ahead. You can find the relative change in velocity in the Info panel. The bottom momentum wave is based on the signal curve and helps find overall market direction of higher time-frames while in a lower one.
Future Roadmap:
Create secondary on-bar indicator to pair with Orion Algo
Automatically adjust internal variables based on market volatility
Indicator style selection
Simple Strategy:
1. Start at a high time-frame to get an overview of the market you are wanting to enter. Daily is usually a good starting time.
2. If you can, add Orion to a second chart with a lower time-frame such as 4H.
3. Check the lower time frame to find potential medium term entry points based on where the trend was heading from the higher time-frame.
4. Step even lower to the 1H to find your optimal entry based on the higher times and technical analysis of the charts (support/resistance, patterns, etc)
5. The momentum wave can be used to find overall trend of the market. When it starts curving up, the market is bullish. When it curves down, the market could be bearish.
Intermediate Strategy:
1. Use simple strategy first.
2. Use the Prediction and ∆v curves to see future reversals in the works.
3. You can use these curves as potential entries as well as exit points.
4. Take into account potential divergence of the signal lines and price action.
Settings and How to Use them:
User Agreement – Orion Algo is a tool for you to use while trading. We aren’t responsible for losses OR the gains you make with it. By clicking the checkbox on the left you are agreeing to the terms.
Super Smooth – Smooths the main signal line based on the value inside the box. Lower values shift the pivot points to the left but also make things more noisy. Higher values move things to the right making it lag a bit more while creating a smoother signal. 8 is a good value to start with.
Theme – Changes the color scheme of Orion.
Info – Turns on a dashboard with useful stats, such as Delta v, Volatility, Rsi, etc. Changing the value box will move the dashboard left and right.
Pivots – Toggles main bull/bear dots.
Prediction – A secondary prediction model that attempts to predict a reversal before it happens (0-2bars). This can be noisy some times so make your best judgement. Curve will toggle a curve view of the prediction. Pivots will toggle bull/bear dots.
∆v – Delta v (change in velocity). This shows momentum of the signal. Crossing 0 signals a reversal. If you see the delta v changing direction, it may signify a reversal in the several bars depending on the overall momentum of the market.
Divergence – Toggles divergence lines. Hidden will show hidden divergences. Cross will show divergences that cross the 0 line.
Momentum Wave – Uses the signal as a macro trend indicator. Changes in direction of the wave can signify macro changes in the market. Average will toggle an averaging algorithm of the momentum waves and makes it easy to understand.
OBOS – Overbought/Oversold lines. Dyn will convert them to dynamic OBOS lines. The value box will adjust the smoothing.
hamster-bot RSI AlgoThis is a simple RSI based signal indicator. It is designed for algorithmic bot trading.
For best results, leave a time-frame of at least 1 hour.
When the RSI reaches 70, it gives a buy signal, and when the RSI reaches 30, it gives a sell signal. The position is then maintained until the opposite signal is given. If backtesting shows poor results, but looks like the opposite would be good, there is a simple switch in the settings to turn it over.
original indicator on the basis of which the strategy is made:
TS - Trading AlgorithmWhat is it?
The Tradespot MA Algo is an all in one, profitable moving average based trading strategy that presents long and short opportunities.
This indicator does not repaint. Once a bar has closed, the signal will remain permanently printed onto the chart.
What can I do with it?
Use on the following markets:
COINBASE:BTCUSD
COINBASE:ETHUSD
COINBASE:ETHBTC
Timeframe: 1D
What does each signal mean?
Long label is a strong buy signal
Short label is a strong sell signal
X's indicate a warning telling you that you should possibly exit your position. You should review these signals alongside other indicators such as volatility.
Review X signals?
Yes, there are concrete buys and sells but the X's indicate possible exits that might also be fakeouts, we can created the perfect indicator set up to review these with our TS - Trend Confirmation indicator and our TS - Volatility Screener indicator
How do I get access?
Please contact me on TradingView for details.
Hulk Grid Algorithm V2 - The Quant ScienceIt's the latest proprietary grid algorithm developed by our team. This software represents a clearer and more comprehensive modernization of the deprecated Hulk Grid Algorithm. In this new release, we have optimized the source code architecture and investment logic, which we will describe in detail below.
Overview
Hulk Grid Algorithm V2 is designed to optimize returns in sideways market conditions. In this scenario, the algorithm divides purchases with long orders at each level of the grid. Unlike a typical grid algorithm, this version applies an anti-martingale model to mitigate volatility and optimize the average entry price. Starting from the lower level, the purchase quantity is increased at each new subsequent level until reaching the upper level. The initial quantity of the first order is fixed at 0.50% of the initial capital. With each new order, the initial quantity is multiplied by a value equal to the current grid level (where 1 is the lower level and 10 is the upper level).
Example: Let's say we have an initial capital of $10,000. The initial capital for the first order would be $50 * 1 = $50, for the second order $50 * 2 = $100, for the third order $50 * 3 = $150, and so on until reaching the upper level.
All previously opened orders are closed using a percentage-based stop-loss and take-profit, calculated based on the extremes of the grid.
Set Up
As mentioned earlier, the user's goal is to analyze this strategy in markets with a lack of trend, also known as sideways markets. After identifying a price range within which the asset tends to move, the user can choose to create the grid by placing the starting price at the center of the range. This way, they can consider trading the asset, if the backtesting generates a return greater than the Buy & Hold return.
Grid Configuration
To create the grid, it's sufficient to choose the starting price during the launch phase. This level will be the center of the grid from which the upper and lower levels will be calculated. The grid levels are computed using an arithmetic method, adding and subtracting a configurable fixed amount from the user interface (Grid Step $).
Example: Let's imagine choosing 1000 as the starting price and 50 as the Grid Step ($). The upper levels will be 1000, 1050, 1100, 1150, 1200. The lower levels will be 950, 900, 850, 800, and 750.
Markets
This software can be used in all markets: stocks, indices, commodities, cryptocurrencies, ETFs, Forex, etc.
Application
With this backtesting software, is possible to analyze the strategy and search for markets where it can generate better performance than Buy & Hold returns. There are no alerts or automatic investment mechanisms, and currently, the strategy can only be executed manually.
Design
Is possible to modify the grid style and customize colors by accessing the Properties section of the user interface.
TUE ADX/MACD Confluence Algorithm V1This algorithm is designed to look at the ADX/MACD confluence for opening conditions, apply various filters including volume and volatility, then determine stop outs, break evens, and take profits.
The ADX and MACD confluence can be a powerful predictor in stock movements. Both of these indicators find trend but do it in different ways. When they're combined they have a high success rate of finding openings. That's done by finding the bar in which both show the same direction - that bar is the beginning of the confluence. I have a free indicator called the TUE ADX/MACD Confluence that you can use to see this in action.
This script will help you find those confluences in an easy to understand manner. It will open a trade on a detected confluence, using the rest of the variables available in the algorithm as filters. You can filter based on cumulative volume delta, volatility, and trend. It includes settings for either trend following or contrarian trades, and the ability to go long, short, or both.
It includes Buy and Sell signals for detected confluences, and will show colored candles to help you determine when to exit a trade if you don't want to follow the included take profit areas. When the candles turn to white that means the detected confluence is no longer in play. The Buy and Sell signals will display on the first occurrence of each confluence.
The take profit areas are based on proprietary math that help find peaks and valleys. You can adjust the size of the take profits as a percentage of the position, change to static take profits (i.e. take profit in 16 ticks), or use both. You can also disable them and use the natural closing conditions (reversal of MACD/ADX confluence).
Our algo works in any market and will allow user to adjust input settings to be used on any ticker they'd like. It is built as a strategy so you can back test on any ticker to find the exact right settings to dial it in and then switch to live trading mode to see signals. Can be used for day trades or swing trades.
Automated Trading
This algo has been tested and certified to work for automated trading.
Works on Forex
It's confirmed to work on forex so you can trade that market.
Gets you into long successful trades, and gets out of poor ones quickly
It keeps you in the long trades taking small profits along the way, but cuts losers quickly in comparison. This style leads to a high profit factor, as you can see over 3.0 in the included ES 3 Min chart.
It looks at many variables so you don't have to
- Uses ADX/MACD confluence for opening/closing conditions.
- It uses volume, if the user wants, to help filter entries. The volume calculation is based off of my proprietary cumulative volume delta indicator and helps find if the volume is moving long or short.
- It uses proprietary take profit math to help find peaks and valleys to peel off profits. It is based on the changes in momentum of the underlying.
- It allows for stop outs and break evens based on volatility so they'll always adjust with the movement of the underlying ticker (see the blue lines above and below the opening in the chart).
- It allows for offset break evens to keep a portion of the profit.
Strategy for the Algo
Included so you can understand how to trade with it.
ONE: After loading this strategy onto a ticker turn off volume if it's a ticker with no volume , set the dates at the bottom to when the stock is active (you want to start backtesting when a stock started trading like it trades currently).
TWO: From there adjust the ADX/MACD to find the highest win rate and profit factor.
THREE: Then adjust the volume length to find the highest win rate and profit factor. It's important while doing these that you pay attention to a smooth upward equity curve.
FOUR: After this has been done now adjust the long and short risk multipliers. This determines your stop out.
FIVE: Then adjust breakeven multipliers - this is the level at which it changes to a breakeven stop out instead of the previous one. You can also set an offset to keep a small part of the profit.
SIX: Finally adjust the take profit sizes.
SEVEN: Once this is all done go back through the list and adjust up and down by one or two clicks and see if a better curve can be obtained. Very frequently long and short trades have different settings.
EIGHT: When you are finished save the settings in a custom indicator template and put it with it's own chart.
Additional
The settings shown on screen are not the default settings, but are settings chosen for this ticker and timeframe based on the process above. Nearly every ticker and timeframe will require adjustment from default, that's why the algorithm is built to be highly flexible. It can fit any ticker and timeframe, as well as market environment.
Also included in the chart above is a $1.25 commission per contract, and a tick of slippage (which on average is about right for automated trading on ES).
OnePunch Algo KITEIntroducing One of OnePunch ALGO Flagship plugin. In this plugin it comes with a in-built risk management system plus it allows users stop loss input per trade. This can be used with Cryptocurrency and Stocks equally.
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########## User Guide ###########
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OnePunch ALGO KITE should be used with 30min or upper time limits, this is built for long term trading strategies. Make sure once you pick a crypto or stock to trade, check its backtest data: which can be found at Strategy Tester. A good strategy should always out perform the Buy & Hold for a given timeframe.
Best Bar Time: 45m
Other Options
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Short Term/Day Trading Setup
For Short Term or Day Trade: 5min, 15min & 30min candlesticks
Mid Term Trading Setup
For Mid-term traders: 45m, 1hr, 2hr, and 3hr setup works really well.
For Long Term Trading Setup
For long term traders: 4hr, 1D, 1Week and 1Month Setup works well.
* Best timeframe should beat buy and hold for a given timeline.
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####### How Strategy Work ########
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Strategy use multiple signals and technical data. Including and not limited to Simple Moving Averages, Volume , & Trends. In this chart, we picked Polkadot (DOTUSD) crypto coin as an example with an initial capital of $1k. We have also added a slippage of 1 just to be on the safe side and a commission rate of 0.01% (Commission rates depends of your broker).
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######## Built with Inputs #########
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Date Pick: User can backtest the plugin with exact date you want from to till. For an example, you can check date from 01 / 01 /2020 (Default setting date) till day, and compare apple to apple results with other stocks. This is mostly used to check if another stock/crypto do better than the other compared to a given timeframe.
Risk Management per Trade: This also allows users to put their own risk management loss percentage. In default it is set to 100%. This allows user to see in the long run, if this provide better results with or without a stop loss.
Commission Rates: User can update commission rates according to their broker's fees
Slippage: To be more conservative about the entry and exit of a trade, user can input any slippage amount
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#### How to Detect BUY Signals #####
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When a teal color BUY signal is given, it is a BUY. This signal basically happen when a stock land in a high volatility zone. We use in-build systems such as MA , Support and Resistance and Trends to come up with the Buy Signal. Algorithm make a market order when the criteria's are met and algorithm exit if this turns out to be a bluff bullish signal.
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#### How to Detect SELL Signals #####
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When a maroon color SELL signal is given, it is a SELL happen when a momentum changed in a bearish downtrend. Sell happen when a momentum changed in a bearish downtrend. We use moving averages and trend analysis to identify downtrends. Algorithm make a market order when the criteria's are met. There is a in-built risk management that make an exit order when a bullish alert turns out to be a bluff.
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#### Bullish and Bearish Signals #####
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When a silver color Bearish signal is given, it is a BEARISH trend alert. It's up to the user to decide what to do when this alert is given. (Note: Backtest data only shows Buy and Sell Signal market orders results, it does not account bearish alerts), a Bearish signal given when the stock/crypto is overbought in multiple technical indicators.
When a sea blue Bullish trend signaled. (Mind this sea blue color signal will not be calculated in the backtest, it is up to the users to decide what to do with this bullish signal) - This signal happen when a stock is oversold in multiple technical indicators.
DISCLAIMER: Stocks and options trading involves substantial RISK of LOSS and is NOT suitable for every investor. The valuation of stocks and options may fluctuate, and, as a result, clients may lose more than their original investment. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account. You are responsible for all the risks and financial resources you use and for the chosen trading system. You should not engage in trading unless you fully understand the nature of the transactions you are entering into and the extent of your exposure to loss. If you do not fully understand these risks, you must seek independent advice from your financial advisor.
All trading strategies are used at your own risk. And OnePunch ALGO Developer does NOT take any responsibility for your losses using any of the advice or suggestions or strategies are shown/said in any of OnePunch ALGO publications.
XBrat AlgoXbrat Algo
Think of an Experienced Traders’ Brain as a blueprint for a trading algorithm. Then the desire to keep charts as clutter free as possible. What you get is a blueprint of Paul Bratby’s thought process but even he admits, he is getting too old to focus on all of these at once!
By aligning various ‘Decision Points’ from multiple indicators such as a configuration of EMA’s, EMA Clouds, Stochastics, MACDs as well as a number of other indicators. Add this to experienced decision making, we have the basis of our Algo.
It’s not just indicators, it’s how they are combined and the settings of each individual indicator, which are not default, that makes up 12 Decision points for grading a trade.
• Minimum of 10 Decision Points before Paul considers grading the trade a 3* trade
• Then another special Decision Point will make it a 4* trade
• Another for 5* trade
• And Finally, a total of 12 Decision Points being correct before he grades a trade 6* trade
BEST Algorithm Builder CRYPTOHello traders 👋
I. 💎 SCRIPTS ACCESS AND TRIALS 💎
1. Every trial request access has to be done through my website.
2. My website URL is in this script signature at the very bottom (you'll have to scroll down a bit and going past the long description) and in my profile status available here: Daveatt
3. Many video tutorials explaining clearly how all our indicators work are available on your website > guides section and on our Discord forum.
4. You can also contact me directly for more information regarding the trading method included in the indicator or how to access it
II. Forewords
Algorithm trading has THE ambitious goal to reduce the number of decisions we have to make when trading.
It's so much easier to get a signal whenever all indicators are converging rather than monitoring each one individually.
Even better when that convergence has been found by experienced quant traders - so that our subscribers only worry about managing their trades according to our trading method.
We don't only provide scripts. They're based on our trading method we've built over years across many asset classes (including cryptocurrencies)
Feel free to check us out for more information (links in my profile or signature below)
This indicator is for the Intraday CRYPTO traders looking for fixed entries based on a trading method designed by 2 experienced traders.
It's a variation of our Algorithm Builder with a custom method for intraday trading - can be coupled with the UNIVERSAL Algo Builder also for swing positions.
We designed this framework for CRYPTO/USD and CRYPTO/CRYPTO pairing (ex: LTC/BTC, XRP/ETH, ...)
Made for crypto with enough trading volume (big and mid-caps)
ETH/BTC
XRP/ETH
EOS/USD
It includes :
- our proprietary method with fixed entries
- a hard exit system (built-in stop-loss)
- 🔔 Compatible with dynamic alerts 🔔
Dynamic alerts are bringing automated trading to a whole new level. The third-party solutions capturing TradingView alerts are able to use them.
- (optional) we let the users decide to use or not our built-in Trade Manager.
Regardless of the Trade Manager is used or not, one must mandatory exit, once a vertical hard exit bar appears.
- the Algorithmic Supports and Resistances used as safeguards and take profit zones.
Final words
We made it as simple as we could (to be honest it's a very simple system for the end-user) - even with several hundreds of calculations in the indicator.
Please hit me up for any questions/feedback/comments
Become the BEST trader that you deserve to be
Dave
Realtime ALGO Trades- RAT 1.0 This is based on the Algorithm Trading we do.
We had coded our strategy for testing in Pine for Realtime Automatic ALGO trading.
It gives automatic signal and place the order directly with SL and TGT to the broker in realtime.
Just try it..
