MACD Optimizer Pro [Kioseff Trading]Massive update! This script now includes 12 different moving averages and 30+ built-in technical indicators to enhance your trading strategy optimization! (:
This script (MACD Optimizer Pro) allows the user to optimize and test hundreds of MACD strategies, simultaneously, in under 40 seconds. Of course, theoretically, an unlimited number of trading strategies can be tested with the MACD Optimizer Pro. After the optimization period - the MACD Optimizer Pro will show the most profitable MACD strategy or, should you choose, the highest win-rate MACD strategy or the most-efficient MACD strategy!
Optimization results can be backtested and verified using the native TradingView backtester - which is included in the MACD Optimizer Pro - and made easy to use! This feature makes settings alerts a simple practice!
Features
Test hundreds of MACD strategies, simultaneously, in under 40 seconds.
Optimize long MACD strategies and short MACD strategies.
12 different built-in moving averages included to improve your MACD strategy.
30+ built-in technical indicators to improve your MACD strategy.
Runs as a strategy script - profit factor, PnL , win-rate, number of trades, max drawdown, equity curve and other pertinent statistics shown.
Alerts
Optimize any MACD setting
Profit targets, trailing stops, fixed stop losses, and a binary MACD strategy can all be tested.
Strategies can be optimized for highest win rate, highest net profit, most efficient profit.
Limit orders can be simulated.
External indicators can be used for optimization i.e. your own, custom-built indicator, an indicator from your favorite author, or almost any publicly available
TradingView indicator.
Date range for optimization and backtesting are configurable.
Explanation
The image above shows a list of configurations for the optimizer. You can
You can test hundreds of different MACD settings in under 40 seconds on any timeframe, asset, etc.
The image above shows additional settings to filter the outcome of your optimization testing. Additionally, you can test an unlimited number of profit targets and stop losses!
You can add one of several built-in TradingView indicators to filter trade entries.
The image above shows all built-in moving averages and TradingView indicators that can be incorporated into your MACD strategy.
Additionally, you can add your own, custom indicator to the optimization test, your favorite indicator by your favorite author or almost any publicly available indicator on TradingView.
The image above shows the settings section in which you can implement this feature.
The image above shows an example of the custom indicator feature! In this instance, I am using the public indicator titled "Self-Optimizing" RSI and requiring it to measure below a level prior to entry! Almost any custom indicator, your favorite indicator, etc. is compatible with this feature!
The MACD Optimizer has improved user friendliness over previous versions. The optimizer can be as simple or complex as you'd like - capable of handling both "easy" and "difficult" tasks at your discretion.
Additionally, you can configure the optimizer to prioritize MACD strategies that earn profit most efficiently!
The image above shows this feature in action.
You can also configure the optimizer to prioritize MACD strategies that achieve the highest win rate!
The image above shows this feature in action.
Instructions
The instructions below show a rudimentary approach to using the optimizer.
1. Build your strategy in the settings.
You should also disable the "Run a Backtest" feature to improve load times during optimization.
The image above shows my custom strategy settings.
Now that you've got some data on your chart - you should try "Freezing" the "Smoothing" setting for MACD . When doing this, the optimizer will test hundreds of MACD settings with a fixed "Smoothing" setting. Try using the best "Smoothing" setting you were able to find for your initial testing.
2. Take the best "Smoothing" setting and test various MACD and Signal Lengths.
The image above shows me configuring the MACD Optimizer to test different MACD line lengths and Signal line lengths with a fixed "smoothing" setting.
From the results, we can see that there are better MACD settings than what was shown in our initial test!
With this information we can execute a TradingView backtest.
3. Execute a TradingView Backtest.
You must enable the "Run a Backtest" feature to perform a TradingView backtest. Additionally, it's advised to enable the "STOP OPTIMIZATION" feature when performing a TradingView backtest. Enabling this feature will improve load times for the backtest to only a few seconds (since the optimizer won't look for the best setting when this feature is enabled).
The image above shows completion of the process!
From here, you can perform further testing, set alerts, etc.
Backtest Settings Shown
Initial Capital: The initial capital used for the shown backtests is $3,500 USD. Set the initial capital to replicate your true starting capital (: PnL for the MACD strategies (listed in table) is calculated using a starting capital of $10,000 USD.
Slippage: The slippage settings for the displayed backtest was set to 2 ticks.
Commission: Commission was adjusted to 0.1%.
Verify Price for Limit Orders was set to 2 ticks.
Optimization
Trading system optimization is immensely advantageous when executed with prudence.
Technical-oriented, mechanical trading systems work when a valid correlation is methodical to the extent that an objective, precisely-defined ruleset can consistently exploit it. If no such correlation exists, or a technical-oriented system is erroneously designed to exploit an illusory correlation (absent predictive utility), the trading system will fail.
Evaluate results practically and test parameters rigorously after discovery. Simply mining the best-performing parameters and immediately trading them is unlikely a winning strategy. Put as much effort into testing strong-performing parameters and building an accompanying system as you would any other trading strategy. Automated optimization involves curve fitting - it's the responsibility of the trader to validate a replicable sequence or correlation and the trading system that exploits it.
Thanks for checking this out!
Komut dosyalarını "stop loss" için ara
PowerX by jwitt98This strategy attempts to replicate the PowerX strategy as described in the book by by Markus Heitkoetter
Three indicators are used:
RSI (7) - An RSI above 50 indicates and uptrend. An RSI below 50 indicates a downtrend.
Slow Stochastics (14, 3, 3) - A %K above 50 indicates an uptrend. A %K below 50 indicates a downtrend.
MACD (12, 26, 9) - A MACD above the signal line indicates an uptrend. A MACD below the signal line indicates a downtrend
In addition, multiples of ADR (7) is used for setting the stops and profit targets
Setup:
When all 3 indicators are indicating an uptrend, the OHLC bar is green.
When all 3 indicators are indicating a downtrend, the OHLC bar is red.
When one or more indicators are conflicting, the OHLC bar is black
The basic rules are:
When the OHLC bar is green and the preceding bar is black or Red, enter a long stop-limit order .01 above the high of the first green bar
When the OHLC bar is red and the preceding bar is black or green, enter a short stop-limit order .01 below the low of the first red bar
If a red or black bar is encountered while in a long trade, or a green or black bar for a short trade, exit the trade at the close of that bar with a market order.
Stop losses are set by default at a multiple of 1.5 times the ADR.
Profit targets are set by default at a multiple of 3 times the ADR.
Options:
You can adjust the start and end dates for the trading range
You can configure this strategy for long only, short only, or both long and short.
You can adjust the multiples used to set the stop losses and profit targets.
There is an option to use a money management system very similar to the one described in the PowerX book. Some assumptions had to be made for cases where the equity is underwater as those cases are not clearly defined in the book. There is an option to override this behavior and keep the risk at or above the set point (2% by default), rather than further reduce the risk when equity is underwater. Position sizing is limited when using money management so as not to exceed the current strategy equity. The starting risk can be adjusted from the default of 2%.
Final notes: If you find any errors, have any questions, or have suggestions for improvements, please leave your message in the comments.
Happy trading!
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.
Multi Entry Signal Strategy by TradeSmartThis strategy is intended to test different entry signals. You can use 13 different entry signals in the strategy.
Available signals with all their settings:
Heikin Ashi
RSI + EMA
Wavetrend
MACD
Stochastic RSI
Squeeze Momentum
Kairi Relative Index
SSL
Supertrend
Parabolic SAR
Chandelier Exit
Directional Movement Index
Quantitative Qualitative Estimation
For exact rules of entries please relate to the tooltips of each entry signal. All the signals can be used together or separately in the strategy.
Additional settings that can be used:
Trend Filter (limit long or short entries based on a moving average of your choice)
Exit Strategy settings (ATR is used to determine stop loss and take profit levels)
Trailing Loss Setups (you can use 3 different types of trailing losses)
Setups (you can set Long and Short entries as well as the order size based on either Capital % or Risk %)
Date Range (you can limit trades to specific date ranges)
Trading Time (you can limit on which days to trade)
Template Trailing Strategy (Backtester)💭 Overview
💢 What is the "Template Trailing Strategy” ❓
The "Template Trailing Strategy" (TTS) is a back-tester orchestration framework. It supercharges the implementation-test-evaluation lifecycle of new trading strategies, by making it possible to plug in your own trading idea.
While TTS offers a vast number of configuration settings, it primarily allows the trader to:
Test and evaluate your own trading logic that is described in terms of entry, exit, and cancellation conditions.
Define the entry and exit order types as well as their target prices when the limit, stop, or stop-limit order types are used.
Utilize a variety of options regarding the placement of the stop-loss and take-profit target(s) prices and support for well-known techniques like moving to breakeven and trailing.
Provide well-known quantity calculation methods to properly handle risk management and easily evaluate trading strategies and compare them.
Alert on each trading event or any related change through a robust and fully customizable messaging system.
All the above, build a robust tool that, once learned, significant and repetitive work that strategy developers often implement individually on every strategy script is eliminated. Taking advantage of TradingView’s built-in backtesting engine the evaluation of the trading ideas feels natural.
By utilizing the TTS one can easily swap “trading logic” by testing, evaluating, and comparing each trading idea and/or individual component of a strategy.
Finally, TTS, through its per-event alert management (and debugging) system, provides a fully automated solution that supports automated trading with real brokers via webhooks.
NOTE: The “Template Trailing Strategy” does not dictate the way you can combine different (types of) indicators or how you should combine them. Thus, it should not be confused as a “Trading System”, because it gives its user full flexibility on that end (for better or worse).
💢 What is a “Signal Indicator” ❓
“Signal Indicator” (SI) is an indicator that can output a “signal” that follows a specific convention so that the “Template Trailing Strategy” can “understand” and execute the orders accordingly. The SI realizes the core trading logic signaling to the TTS when to enter, exit, or cancel an order. A SI instructs the TTS “when” to enter or exit, and the TTS determines “how” to enter and exit the position once the Signal Indicator generates a signal.
A very simple example of a Signal Indicator might be a 200-day Simple Moving Average Signal. When the price of the security closes above the 200-day SMA, a SI would provide TTS with a “long entry signal”. Once TTS receives the “long entry signal”, the TTS will open a long position and send an alert or automated trade message via webhook to a broker, based on the Entry settings defined in TTS. If the TTS Entry settings specify a “Market” order type, then the open long position will be executed by TTS immediately. But if the TTS Entry settings specify a “Stop” order type with a 1% Stop Distance, then when the price of the security rises by 1% after the “long entry signal” occurs, the TTS will open a long position and the Long Entry alert or webhook to the broker will be sent.
🤔 How to Guide
💢 How to connect a “signal” from a “Signal Indicator” ❓
The “Template Trailing Strategy” was designed to receive external signals from a “Signal Indicator”. In this way, a “new trading idea” can be developed, configured, and evaluated separately from the TTS. Similarly, the SI can be held constant, and the trading mechanics can change in the TTS settings and back-tested to answer questions such as, “Am I better with a different stop loss placement method, what if I used a limit order instead of a stop order to enter, what if I used 25% margin instead of trading spot market?”
To make that possible by connecting an external signal indicator to TTS, you should:
Add in the same chart, the “Signal Indicator” of your choice (e.g. “Two MA Signal Indicator” , “Click Signal Indicator” , “Signal Adapter” , “Signal Composer” ) and the “Template Trailing Strategy”.
Go to the “Settings/Inputs” tab in the “🛠️ STRATEGY” group of the TTS and change the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" to “🔨External”
Go to the “🔨 STRATEGY – EXTERNAL” group settings of the TTS and change the “🔌𝐒𝐢𝐠𝐧𝐚𝐥 🛈➡” to the output signal of the “Signal Indicator” you want to connect. The selected combo box option should look like “:🔌Signal to TTS” where should correspond to the short title of your “Signal Indicator”
💢 How to create a Custom Trading logic ❓
The “Template Trailing Strategy” provides two ways to plug in your custom trading logic. Both of them have their advantages and disadvantages.
✍️ Develop your own Customized “Signal Indicator” 💥
The first approach is meant to be used for relatively more complex trading logic. The advantages of this approach are the full control and customization you have over the trading logic and the relatively simple configuration setup by having two scripts only. The downsides are that you have to have some experience with pinescript or you are willing to learn and experiment. You should also know the exact formula for every indicator you will use since you have to write it by yourself. Copy-pasting from existing open-source indicators will get you started quite fast though.
The idea here is either to create a new indicator script from scratch or to copy an existing non-signal indicator and make it a “Signal Indicator”. To create a new script, press the “Pine Editor” button below the chart to open the “Pine Editor” and then press the “Open” button to open the drop-down menu with the templates. Select the “New Indicator” option. Add it to your chart to copy an existing indicator and press the source code {} button. Its source code will be shown in the “Pine Editor” with a warning on top stating that this is a read-only script. Press the “create a working copy”. Now you can give a descriptive title and a short title to your script, and you can work on (or copy-paste) the (other) indicators of your interest. Having all the information needed to make your decision the only thing you should do is define a DealConditions object and plot it like this:
import jason5480/tts_convention/4 as conv
// Calculate the start, end, cancel start, cancel end conditions
dealConditions = conv.DealConditions.new(
startLongDeal = ,
startShortDeal = ,
endLongDeal = ,
endShortDeal = ,
cnlStartLongDeal = ,
cnlStartShortDeal = ,
cnlEndLongDeal = ,
cnlEndShortDeal = )
// Use this signal in scripts like "Template Trailing Strategy" and "Signal Composer" that can use its value
// Emit the current signal value according to the "two channels mod div" convention
plot(series = conv.getSignal(dealConditions), title = '🔌Signal to TTS', color = color.olive, display = display.data_window + display.status_line, precision = 0)
You should write your deal conditions appropriately based on your trading logic and put them in the code section shown above by replacing the “…” part after “=”. You can omit the conditions that are not relevant to your logic. For example, if you use only market orders for entering and exiting your positions the cnlStartLongDeal, cnlStartShortDeal, cnlEndLongDeal, and cnlEndShortDeal are irrelevant to your case and can be safely omitted from the DealConditions object. After successfully compiling your new custom SI script add it to the same chart with the TTS by pressing the “Add to chart” button. If all goes well, you will be able to connect your “signal” to the TTS as described in the “How to connect a “signal” from a “Signal Indicator”?” guide.
🧩 Adapt and Combine existing non-signal indicators 💥
The second approach is meant to be used for relatively simple trading logic. The advantages of this approach are the lack of pine script and coding experience needed and the fact that it can be used with closed-source indicators as long as the decision-making part is displayed as a line in the chart. The drawback is that you have to have a subscription that supports the “indicator on indicator” feature so you can connect the output of one indicator as an input to another indicator. Please check if your plan supports that feature here
To plug in your own logic that way you have to add your indicator(s) of preference in the chart and then add the “Signal Adapter” script in the same chart as well. This script is a “Signal Indicator” that can be used as a proxy to define your custom logic in the CONDITIONS group of the “Settings/Inputs” tab after defining your inputs from your preferred indicators in the VARIABLES group. Then a “signal” will be produced, if your logic is simple enough it can be directly connected to the TTS that is also added to the same chart for execution. Check the “How to connect a “signal” from a “Signal Indicator”?” in the “🤔 How to Guide“ for more information.
If your logic is slightly more complicated, you can add a second “Signal Adapter” in your chart. Then you should add the “Signal Composer” in the same chart, go to the SIGNALS group of the “Settings/Inputs” tab, and connect the “signals” from the “Signal Adapters”. “Signal Composer” is also a SI so its composed “signal” can be connected to the TTS the same way it is described in the “How to connect a “signal” from a “Signal Indicator”?” guide.
At this point, due to the composability of the framework, you can add an arbitrary number (bounded by your subscription of course) of “Signal Adapters” and “Signal Composers” before connecting the final “signal” to the TTS.
💢 How to set up ⏰Alerts ❓
The “Template Trailing Strategy” provides a fully customizable per-even alert mechanism. This means that you may have an entirely different message for entering and exiting into a position, hitting a stop-loss or a take-profit target, changing trailing targets, etc. There are no restrictions, and this gives you great flexibility.
First of all, you have to enable the alerts of the events that interest you. Go to the “🔔 ALERT MESSAGES” module of the TTS settings and check the “Enable…” checkbox of the events you are interested in. For each specific event, you will find a text area where you can type the exact message you want to receive when the event occurs. What’s more, there are placeholders you can use that will be replaced by the TTS with the actual values before the message is sent. The placeholder categories are the following and the placeholder names are self-explanatory.
Chart info: {{ticker}}, {{base_currency}}, {{quote_currency}}
Quantities and percentages: {{base_quantity}}, {{quote_quantity}}, {{quote_quantity_perc}},
{{take_profit_base_quantity}}, {{remaining_quantity_perc}}, {{remaining_base_quantity}}, {{risk_perc}}
Target prices: {{stop_loss_price}}, {{entry_price}}, {{entry+_price}}, {{entry-_price}},
{{exit_price}}, {{exit+_price}}, {{exit-_price}}, {{take_profit_price_1}},
{{take_profit_price_2}}, {{take_profit_price_3}}, {{take_profit_price_4}}, {{take_profit_price_5}}
❗ To get the message on the other side you have to set a strategy alert as described here and use the {{strategy.order.alert_message}} placeholder as text in the “Message Box” that contains the message that came from the TTS.
💢 How to execute my orders in a broker ❓
To execute your orders in a broker that supports webhook integration, you should enable the appropriate alerts in the “Template Trailing Strategy” first (see the “How to set up Alerts?” guide above). Then you should go to the “Create Alert/Notifications” tab check the “Webhook URL” and paste the URL provided by your broker. You have to read the documentation of your broker for more information on what messages are expected.
Keep in mind that some brokers have deep integration with TradingView so a per-event alert approach might be overkill.
📑 Definitions
This section tries to give some definitions in terms that appear in the “Settings/Inputs" tab of the “Template Trailing Strategy”
💢 What is Trailing ❓
Trailing is a technique where a price target follows another “barrier” price (usually high or low) by trying to keep a maximum distance from the “barrier” when it moves in only one direction (up or down). When the “barrier” moves in the other direction the price target will not change. There are as many types of trailing as price targets, which means that there are entry trailing, exit trailing, stop-loss trailing, and take-profit trailing techniques.
💢 What is a Moonbag ❓
A Moonbag in a trade is the quantity of the position that is reserved and will not be exited even if all take-profit targets defined in the strategy are hit, the quantity will be exited only if the stop-loss is hit or a close signal is received. This makes the stop-loss trailing technique in a trend-following strategy a good candidate to take advantage of a Moonbag.
💢 What is Distance ❓
Distance is the difference between two prices.
💢 What is Bias ❓
Bias is a psychological phenomenon where you make decisions based on market sentiment. For example, when you want to enter a long position you have a long bias, and when you want to exit from the long position you have a short bias. It is the other way around for the short position.
💢 What is the Margin Distance of a price target ❓
The Margin Distance of a price target is the distance that the target will deviate from its initial price. The direction of this deviation depends on the bias of the market. For example, suppose you are in a long position, and you set a take-profit target to the local high (HHLL). In that case, adding a margin of five ticks will place your take-profit target 5 ticks below this local high because you have a short bias when exiting a long position. When the bias is long the margin will be added resulting in a higher target price and when you have a short bias the margin will be subtracted.
⚙️ Settings
In the “Settings/Inputs” tab of the “Template Trailing Strategy”, you can find all the customizable settings that are provided by the framework. The variety of those settings is vast; hence we will only scratch the surface here. However, for every setting, there is an information icon 🛈 where you can learn more if you mouse over it. The “Settings/Inputs” tab is divided into ten main groups. Each one of them is responsible for one module of the framework. Every setting is part of a group that is named after the module it represents. So, to spot the module of a setting find the title that appears above it comes with an emoji and uppercase letters. Some settings might have the same name but belong to different modules e.g. “Distance Method”. Some settings are indented, which means that are closely related to the non-indented setting above. Usually, intended settings provide further configuration for one or more options of the non-intended setting. The groups that correspond to each module of the framework are the following:
📆 FILTERS
In this module time filters are implemented. You can define a DateTime window for your strategy to run. You can also specify a session by selecting the days of the week and the time range you want to operate.
🛠️ STRATEGY
This module contains the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" that defines if the “Template Trailing Strategy” will operate using the Internal or the External (“Signal Indicator”) conditions. Some general settings can be applied regardless of the mode.
🔨 STRATEGY – EXTERNAL
This sub-module makes the connection between the external signal of the “Signal Indicator” and the “Template Trailing Strategy”. It takes effect only if the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" is set to “🔨External”.
🔧 STRATEGY – INTERNAL
This sub-module defines the internal strategy logic and it's used as an example to demonstrate this framework. It should produce the same results as if the “Two MA Signal Indicator” was used as a “signal” in external mode. It takes effect only if the "𝐃𝐞𝐚𝐥 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬 𝐌𝐨𝐝𝐞" is set to “🔧Internal”.
🎢 VOLATILITY
This module defines the volatility parameters that are used in various other settings like average true range and standard deviation. It also makes it clear whether their values are updated during a trade (DYNAMIC) or not (STATIC).
🔷 ENTRY
This module defines how the start deal conditions will be executed by defining the order type of your entry and all necessary parameters to execute them.
🎯 TAKE PROFIT
This module defines the take-profit targets placement logic. The number of the take-profit targets to use, their distance from the entry price, and the distance from each other are only some of the features that can be configured.
🛑 STOP LOSS
This module defines the stop-loss target placement logic. The distance from the entry price, move to break even, and start trailing after a take-profit target is hit are only some of the features that can be configured.
🟪 EXIT
This module defines how the end deal conditions will be executed by defining the order type of your exit and all necessary parameters to execute them.
💰 QUANTITY/RISK MANAGEMENT
This module defines the method that calculates the amount of money you will put into each trade. Also, the percentage of the Moonbag quantity can be configured.
📊 ANALYTICS
This module can visualize some extra analytics of the strategy in the chart and calculate some metrics to measure the overall performance.
🔔 ALERT MESSAGES
This module defines all the messages that can be emitted per event during the strategy execution.
😲 Caveats
💢 Does “Template Trailing Strategy” has a repainting behavior ❓
The answer is that the “Template Trailing Strategy” does not repaint as long as the “Signal Indicator” that is connected also does not repaint. If you developed your own SI make sure that you understand and know how to prevent this behavior. The publication by @PineCoders here will give you a good idea on how to avoid most of the repainting cases.
⚠️There is an exception though, when the “Enable Trail⚠️💹” checkbox is checked, the Take Profit trailing feature is enabled, and a tick-based approach is used, meaning that after a while, when the TradingView discards all the real-time data, assumptions will be made by the backtesting engine that will cause a form of repainting. To avoid making false assumptions please disable this feature in the early stages and evaluate its usefulness in your strategy later on, after first confirming the success of the logic without this feature. In this case, consider turning on the bar magnifier feature. This way you will get more accurate backtest results when the Take Profit trailing feature is enabled.
💢 Can “Template Trailing Strategy” satisfy all my trading strategies ❓
While this framework can satisfy quite a large number of trading strategies there are cases where it cannot do so. For example, if you have a custom logic for your stop-loss or take-profit placement, or if you want to dollar cost average, then it might be better to start a new strategy script from scratch.
⚠️ It is not recommended to copy the official TTS code and start developing unless you are a pine wizard! Even in that case, there is a stiff learning curve that might not be worth your time. Last, you must consider that I do not offer support for customized versions of the TTS script and if something goes wrong in the process you are all alone.
🤗 Thanks
Special thanks to @upslidedown and @metadimensional, who regularly gave feedback all those years and helped me to shape the framework as it is today! Thanks to @EltAlt, @PlusUltraTrading, and everyone else who contributed by either filing a “defect report” or asking questions that helped me to understand what improvements were necessary.
Enjoy!
Jason
DMI (Multi timeframe) DI Strategy [KL]Directional Movement Index Strategy
Entry conditions:
- (a) when DI+ > DI- on timeframe #1, and
- (b) Confirmation: when DI+ > DI- on timeframe #2
In the shown example, timeframe1 was same as the chart (1H) and timeframe2 was 1D.
Stop Loss: ATR based trailing stop
About DMI
Can refer to Investopedia for general understanding.
Applications of DMI in this strategy:
- Assumes uptrend when DI+ is above DI- (when green DI+ lines above red DI-), vice versa for downtrend. This is checked in two different timeframes that can be set by user in settings.
- DX is ignored, it doesn't give a direction of the trend. But if DX was applied, it would be a good indicator for quantifying the strength of uptrend/downtrend. This measurement would typically be read along a threshold (i.e. if below 20, then market is likely consolidating). All of these have been commented out (ignored by pinescript's interpreter via //) in the codes, as said; we are not using DX for sake of simplicity.
Visualizations
To make the chart look cleaner, DMI plots have been simplified to just down/up arrows placed at bottom of the chart.
Referring to the example chart:
- Green arrows : when DI+ > DI- for both timeframes, implies uptrend
- Red arrows: other way around (DI+ < DI-), implies downtrend
LPB MicroCycles StrategyWhat it is:
We use the Hodrick-Prescott filter applied to the closing price, and then take the outputted trendline and apply a custom vwap, the time frame of which is based on user input, not the default 1 day vwap . Then we go long if the value 2 bars ago is greater then one bar ago. We sell and color the bars and lines when the if the value of 2 bars ago is less than one bar ago.
Also included:
GUI for backtesting
ATR Based Stop Loss
How to use:
Go long when the indicators suggest it, and use the stop losses to reduce risk.
Best if paired with a volatility measurement (inside candles, average true range , bollingerband%B)
Zero-Lag HMA Backtest v1.0 [loxx]This backtest compares profitability differences between a regular Hull Moving Average ( HMA ) and a Zero-Lag HMA .
Things to know:
- Profit is set to 1 ATR
- Stop-loss is set to 1.5 ATR.
- This is by design to test the minimum the profit scenario (1 ATR up) and the worst case loss scenario (1.5 ATR down) for momentum trading. Actual results vary when additional TPs are added
How to use:
- Adjust settings and dates to view different market structures and position scenarios
- See results in the "Strategy Tester" pane
Conclusions and what's next
- Modifying HMA does very little to improve backtest results
- Future iterations will include options to backtest various moving averages with additional modifiers to improve profits and avoide losses
Comment below or send a PM with questions, comments, observations, or concerns.
BBPBΔ(OBV-PVT)BB - Time Series Decomposition & Volume WeightedThis is an indicator that shows 5 different points of information:
#1 The Trendline is uses a time-series decomposition to remove noise and seasonality data to provide a trendline without using moving averages. This is then further processed by a custom VWAP block that weights it based on the time frame you're currently using.
#2 BB%B - This is the blue histogram that's partially transparent. This is used to find when a security is overbought or oversold.
#3 BB%B of the Δ(OBV-PVT). This is the green histogram. We took the OBV and subtracted the PVT from it, then we found the delta of that compared to the previous candle. This output a line, which we wrapped in bollinger bands to find the BB%B of this line. This line is represented as a histogram, for visual clarity.
#4 Long and Short Indicators: Long is represented by a green dot, and short is represented by a red dot.
#5 Zones - there are multiple zones, which are used to identify overbought and oversold zones.
How to use the indicator:
Simple way: Long on green dot, Short on red dot. Use stop losses and take profits.
Slightly More Complex: Same as above, but also close out longs, when the green histogram drops but the blue does not. As this means price action hasn't caught up with volume. Use stop losses and take profits.
Full Usage: Long only when both the green, blue and yellow lines are below 0, and sell when the blue or green histogram rises above 1. Perform the opposite for the shorting. Ignore the dots if you use this method, they are for simple reference points til you get used to this indicator. Use stop losses and take profits.
vStrat Algo 1.0 (BETA)vStrat Algo 1.0
The Very First Scalping/Intraday Trading Algo for Options
Note: If you have any favorite indicators that you use regularly and are helpful, feel free to use them in conjunction to this strategy.
Legend:
long = buy call
short = buy put
close entry = sell call/put
BULL = bullish engulfing
BEAR = bearish engulfing
OS = oversold
OB = overbought
Instructions:
1. You can choose to watch the 3 minute or 5 minute chart but be aware of the Pro’s and Con’s. It’s not recommended to use this strategy on the 1 minute chart, but this works on higher timeframes. Keep in mind that the signals will vary on each timeframe.
3 minute 5 minute
i.ibb.co i.ibb.co
2. It’s best to use this strategy right at market open. If a “long” (buy CALLS) or “short” (buy PUTS) signal was given at pre-market, I do not recommend taking it. Only take signals once the market opens. If you really wish to take the signal that was given 1-5 minutes before the market opened, you most definitely can, but its’s just riskier. What I would do is, wait 3-10 minutes after market open and if one Moving Average is respecting the other and holding above or below it, you can enter especially if the blow is bullish, the vStrat Algo 1.0 will also tell you if the candles are bearish or bullish. Use your best judgement.
i.ibb.co [
3. You do not have to wait for the exit signal, everyone's risk management is different so take profits whenever you're green or hold as long as the short-term MA is still trending above or below the long-term MA and is not touching or bouncing off it.
i.ibb.co
4. Avoid taking any signals from 11:30 AM ET - 2:30 PM ET, when stocks are trading sideways since the algo’s stop losses get triggered here due to the low volume.
i.ibb.co
5. Lastly, there is no magic indicator or strategy, this algorithm is designed based on multiple conditions. Each signal gets triggered when ALL the conditions are met. This strategy is based off advanced moving averages, one that reduces lag and responds quicker than the simple and exponential ones, RSI value, S/R, pivot points, and a few others. I’m always looking for ways to improve this scalping algorithm so rest assured any complaints or suggestions will be taken and fixed as timely as possible. For best results, avoid trading with your emotions. If you’re a new user, open a small position, set a stop loss, and let the algorithm decide how you will trade it for that day. Keep doing this until you get more familiar with the script then slowly increase your position sizing, but do not invest money you can’t afford to lose. Play with the settings, change the lengths if you wish, but the script was created to provide the most accurate signals as it is. If you do decide to change these inputs, the signals will also be different. Take profits whenever you see fit, the goal is to have a green day and grow your account slowly but surely. If you make a profit, do not risk giving your money back to the market by overtrading. Always do your own due diligence and use your best judgement. Good luck, Traders!
DISCLAIMER : All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed, or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice. While the information provided is believed to be accurate, it may include errors or inaccuracies. Conduct your own due diligence or consult a licensed financial advisor or broker before making any and all investment decisions. Any investments, trades, speculations, or decisions made on the basis of any information found on this site, expressed, or implied herein, are committed at your own risk, financial or otherwise.
Ultimate Tradingview Technicals Strategy [PrismBot] [Lite]Included in this builder:
MACD
RSI
Tradingview Technical Analysis
Ichimoku
Global Trend Filter
Pullback Filter
Our most robust strategy to date with MACD , RSI , and many other basic strategies included as well as additional filters and alert options.
It is an advanced trading strategy built with the intent to make it easy for anyone to begin trading, but also avoid too much complication of strategy concepts.
For instance, you can change the MACD settings to be "more sensitive" by using a simple dropdown menu, and adjust which strategy you are employing with the MACD on the fly with another.
You can easily enable and disable strategies using the checkbox.
The strategy demo results use 100% equity per trade as an example - the reason for this is that the stop loss is set to 1%, so each trade is risking 1% (give or take slippage). Slippage is set to 5 ticks, and a 0.04% commission (Binance average for market and limit orders)
This strategy incorporates a risk to reward system where the user can select between ATR and Percent based stop losses and take profit targets. This means that the user has much better control over money management when utilizing this strategy and it doesn't require you to babysit the strategy to ensure it's entering and existing strategies in an ideal place.
The status box shows the current state of the various strategies and their values. A red circle indicates the filter / strategy is not valid for entry yet. A green circle indicates that filter / strategy is valid for entry. When all selected strategies are valid simultaneously, the next bar will trigger an entry signal.
If you have any questions about this strategy, please leave them in the comments below, or DM for more details. Thanks!
Additional features in this lite strategy:
✔️ Tweak a multitude of specific settings (MA lengths, R:R, SL distance etc)
✔️ Use money management and risk calculations
✔️ Draw trade info directly to chart (eg. SL size in percent, win rate etc)
✔️ Use various filters (eg. time filter, date filter etc)
✔️ Manage risk per position
✔️ Sync to any bot or algorithmic trading system
SSP + VWMAInput menu allows you to set long / short entries using,
Net volume change from above or below zero.,
Net volume changes of positive to negative values,
VWAP rising or falling.
VWMA rising or falling
Stop loss and take profit are built in to test the most profitable strategy.
uncheck net volume in menu bar to remove background colours on chart
Uncheck VWAP and VWMAto test long and short entries ( using net volume change ) note session look back is available to edit, if use take profit is unchecked then this will simulate net volume change from positive to negative.
Check VWMA or VWAP to simulate long or short entries
With VWAP checked this will simulate VWAP entries with rising / falling VWAP with previous take profit and stop losses that we’re profitable.
Saper Aude [Strategy]Sapere Aude Strategy
Trend based scalping strategy, to work on lower timeframes (15Minute - 1 Hour)
Calculations on ATR, strategy uses extra conditions to help filter out bad trades.
How to use the strategy?
Simple as when green line shows below, that can be either a good entry point or a signal to start building limit orders on the plot.
I use the ATR as a trailing stop loss for exit.
vica versa for entering shorts. The strategy is only set up to take long positions though.
This is a great scalping strategy for bots in Ranging or up trending markets.
This scripts has 5 variations built within it which are fitted for certain coins & their timeframes
The coins included are
BTC/USDT 1 Hour
ETH/USDT 1 Hour
ADA/USDT 30 Minutes
DOGE/USDT 15 Minutes
LUNA/USDT/15 Minutes
The Strategy backtest results includes Fess and there is NO Repaint! The script is written in Version 4
There is an option in the settings cog to choose from the 5 coins and their timeframes where they have been optimised
There is also an option to change the backtesting range
The stop Losses are also adjustable and listed under the settings
The strategy performs best on the Binance listings
Reversal with Bollinger Bands + RSI + ADX + ATR (Upgraded)Hi,
Welcome to my 4th script.
Someone asked me some questions about the Bollinger Band strategy I previously published. When I went back to my published script I couldn't help myself but simply try and make it better. Which I did.
Since I've published that script, I've gained much more knowledge about how Pinescript functions. As well as gaining more and more knowledge about how the markets are structered etc.
In this reversal script we use 4 indicators to determine good entry signals, we determine whether the market is ranging or trending and we still only want to take trades in the direction of the "trend".
Bollinger Bands are used for our entry signal. When price hits either side of the band, we wait for a reverse candlestick before we enter a position.
RSI is used to determine if we're in a trending market or in a ranging market. You can adjust the values in the inputs. You can determine the minimum RSI value and the maximum RSI value.
ADX is used the same way as RSI, you can adjust the value in the inputs. You can determine the minimum ADX value.
Last but not least we use two EMA's, a 200 EMA and 100 EMA. Both are adjustable through the inputs. I used two EMA's because I noticed when using this strategy that we'd enter a new position often after having a bad trade. Using two EMA's might clean up some signals, in my case with EUR/USD on a 15m timeframe, it didn't clean up enough signals.
All the default values are pretty decent but might require some finetuning on a certain instrument. Don't overfit the strategy though, that'll only give you bad signals in the future.
Then we are off to our exit signals.
Initially I wanted to incorporate my previous Bollinger Band exit signals as well, but it was too much of a hassle to make the script work as intended so I left it out. If you want to use those exit signals, just find my other script.
When we're in a position and price crosses the opposite band, we wait for a reverse candlestick before we exit the position.
Additionally we want our losses to be as small as possible, so we use RSI to signal us when the market is, or starts to, trend against us. This is where you use the minimum and maximum exit values. So when RSI crosses over or under that value, it'll exit the position.
Furthermore, we use the ATR indicator to set our stop loss, which is pretty basic stuff. You can adjust the ATR multiplier in the inputs. Disabling "Use Trailing Stop?" is really inadvisable unless you know this script inside out as your only exit signals will be opposite Bollinger Band Cross and RSI overbought / oversold areas.
KISS Strategy: SMA + EMA//Hello my fellow investors
//I am creating a simple non-cluttered strategy that uses 3(+1) simple means to determine: viability, entry, and exit
//1) Has a consistent trend been maintained for several days/weeks
//2) SH SMA crossover LG SMA = Bullish entry/LG SMA crossover SH SMA = Bearish entry
//3) Use the Slope factor & Weeks in Trend (WiT) to dertermine how strong of an entry signal you are comfortable with
//4) Exit position based on next SMA cross and trend reversal or stop loss%
//3+1) For added confidence in trend detection: Apply MACD check - buy--> MACD line above signal line and corssover below histogram \\ sell --> MACD line below signal line and crossover above histogram.
//*)This code also allows you to determine your desired backtesting date compliments of alanaster
The chart shown has:
Starting Capital: $10,000
Investment percent per trade: 1.5%
Stop Loss: 20%
Take Profit: 100%
Gregoire Channel StrategyAdd the strategy to the chart, and start by selecting one of four systems:
1) Trend Following
2) Trend Following - Long Only
3) Volatility Breakout
4) Volatility Breakout - Long Only
Each system is better suited to a particular type of market. Find out through back-testing which system and timeframe is best for each market.
Trend Following is good for securities that strongly trend up and down. Examples: Bitcoin, "growth" stocks.
Trend Following (Long Only) is great for stock indexes that are on a 100 year uptrend, or US-based crypto exchanges which don't allow margin trading but you want to catch the big trends (BTC, ETH).
Volatility Breakout is a defensive system designed to capture the meat of the move and protect the gains. This system is better for altcoins and mature markets like forex pairs.
Volatility Breakout (Long Only) is for US-based crypto exchanges that don't allow margin trading. Good for altcoins.
DEFAULT SETTINGS:
START DATE: 1/1/2020
FEE: 0.1% (This is the Binance.us fee per trade, tailor it to your exchange)
TAKE PROFIT GCW: 0
STOP LOSS GCW: 0
LENGTH: 20
SOURCE: HL2
The system doesn't need stop losses or take profit levels as they are built into the system, but you can add them if you want. 1 GCW = half the channel, so the distance from the top of the channel to the middle line. 2 GCW = the height of the channel.
MISC
-Make sure you calculate the fees! They make a huge difference in profitability. For example, test how Coinbase.com's fees of 0.5% compared to Binance.us's fees of 0.1%. It's huge!
-Try different sets of lengths and timeframes. For example, I like using the daily timeframe and low length for stocks and intraday timeframe with long lengths for crypto. See what tests best!
Disclaimer: past performance doesn't equal future results, this isn't financial advice, this is for entertainment purposes only, consult a professional financial advisor.
Simple and efficient MACD crypto strategy with risk managementToday I am glad to bring you another great creation suited for crypto markets.
MARKET
Its a simple and efficient strategy, designed for crypto markets( btcusd , btcusdt and so on), and suited for for higher time charts : like 1hour, 4hours, 1 day and so on.
Preferably to use 1h time charts.
COMPONENTS
MACD with simple moving average
ENTRY DESCRIPTION
For entries we have :
We check the direction with MACD . Depending if its an uptrend and positive level on histogram of MACD we go long, otherwise we go short.
RISK MANAGEMENT
In this strategy we use a stop loss based on our equity. For this example I choosed a 2% risk .That means if our account has 100.000 eur, it will automatically close the trade if we lose 2.000.
We dont use a take profit level.
In this example also we use a 100.000 capital account, risking 5% on each trade, but since its underleveraged, we only use 5000 of that ammount on every trade. With leveraged it can be achieved better profits and of course at the same time we will encounter bigger losses.
The comission applied is 5$ and a slippage of 5 points aswell added.
For any questions or suggestions regarding the script , please let me know.
High/low crypto strategy with MACD/PSAR/ATR/EWaveToday I am glad to bring you another great creation of mine, this time suited for crypto markets.
MARKET
Its a high and low strategy, designed for crypto markets( btcusd , btcusdt and so on), and suited for for higher time charts : like 1hour, 4hours, 1 day and so on.
Preferably to use 1h time charts.
COMPONENTS
Higher high and lower low between different candle points
MACD with simple moving average
PSAR for uptrend and downtrend
Trenddirection made of a modified moving average and ATR
And lastly elliot wave oscillator to have an even better precision for entries and exits.
ENTRY DESCRIPTION
For entries we have : when the first condition is meet(we have a succession on higher high or lower lows), then we check the macd histogram level, then we pair that with psar for the direction of the trend, then we check the trend direction based on atr levels with MA applied on it and lastly to confirm the direction we check the level of elliot wave oscillator. If they are all on the same page we have a short or a long entry.
STATS
Its a low win percentage , we usually have between 10-20% win rate, but at the same time we use a 1:30 risk reward ratio .
By this we achieve an avg profit factor between 1.5- 2.5 between different currencies.
RISK MANAGEMENT
In this example, the stop loss is 0.5% of the price fluctuation ( 10.000 -> 9950 our sl), and tp is 15% (10.000 - > 11500).
In this example also we use a 100.000 capital account, risking 5% on each trade, but since its underleveraged, we only use 5000 of that ammount on every trade. With leveraged it can be achieved better profits and of course at the same time we will encounter bigger losses.
The comission applied is 5$ and a slippage of 5 points aswell added.
For any questions or suggestions regarding the script , please let me know.
Intraday Trend Following Algorithm [Bitduke]Description :
Trend following strategy that constantly adjusts to volatility and avoids of most whipsaws; rapidly moves up or down according to a quickly changing market. Great strategy for high volatile markets, like crypto market.
Based on a couple of special moving averages with integrated smoother which helps to avoid whipsaws.
Backtesting
Backtested on BTCPERP ( FTX ). It shows much better results on 4h timeframe (more than 222% YTD) and relatively low drawdown which allows you to use up to x3 leverage without a fear of huge losses. I.e if we have 5% drawdown for this strategy and using x3 leverage then to be prepared to 15% drawdown maximum in this case.
Initial Capital: $1000
Capital per trade: $1000
Including fee: 0.075% (buy + sell) side, type "taker"
When we get a signal (green/red column on chart) algo opens a trade by the next candle open price.
Others:
Risk management: Stop loss/Take profit in %
Strategy doesn't repaint .
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To access: sign up on FTX using ref link from my signature.
PD Crypto Performer PRO (Backtest)Description:
This is the backtesting version of the PD Crypto Performer Pro (Alert) . You can choose to backtest either one of the two strategies included, a trend-identifying swing strategy and a low risk scalping strategy. Both strategies assume the same capital amount invested ($10,000) each trade. You can also see how your capital grows over time by enabling the reinvesting proceeds option. For details, please check out this tutorial .
The backtesting results could be easily improved in live trading by utilizing the “Take Profit” signals and following the recommended methods of use below.
To assist the decision-making process, the code currently references BTCUSD. As a result, it is only suitable for crypto traders. However, we are working on the stock and forex versions, and the Performer will have these compatibilities soon.
Most importantly, our signals DO NOT REPAINT !
Recommended Use:
- Time Frame: 1HR
- Asset: Large cap crypto assets.
For lower risk tolerance, we recommend using the indicator on ETHUSD. For maximizing profits, we recommend using the indicator on BCHUSD.
- Always set stop loss according to your own risk tolerance
- Take profits along the way. Check out this video tutorial for when to reenter after our take profit signals.
Recommended Use for Advanced Traders:
- Position sizing:
Larger position if the 1HR signal is in the same direction compared to the 4HR trend.
Smaller position if the 1HR signal is in the opposite direction compared to the 4HR trend.
- Better entry/exit points:
Track the 1HR signal for the asset you are trading on other exchanges along with the BTCUSD 1HR signal. Sometimes, the signals from different exchanges occur with a 1-2 hour difference. You could use these earlier signals along with a lower time frame (eg. 15min) entry confirmation from your own exchange for better entry / exit points.
- Use “Take Profit” signals for counter trend scalps. Recover at the reentering opportunities . This works best with candlestick pattern confirmations.
Never use this if you suspect a flag / inverted flag pattern is forming.
Go to www.phi-deltalytics.com and sign up for a FREE trial today!
Let us know if you have any questions or recommendations. We are here for your success!
Disclaimer:
It should not be assumed that the methods, techniques, or indicators presented will be profitable or that they will not result in losses. Past results are not necessarily indicative of future results. This is not a solicitation of any order to buy or sell.
PD Crypto Performer (Backtest)Description:
This is the backtesting version of the PD Crypto Performer (Alert) . The strategy assumes the same capital amount invested ($10,000) each trade. You can also see how your capital grows over time by enabling the reinvesting proceeds option. For details, please check out this tutorial . The backtesting results could be easily improved in live trading by following the recommended methods of use below.
To assist the decision-making process, the code currently references BTCUSD. As a result, it is only suitable for crypto traders. However, we are working on the stock and forex versions, and the Performer will have these compatibilities soon.
Most importantly, our signals DO NOT REPAINT !
Recommended Use:
- Time Frame: 1HR
- Asset: Large cap crypto assets.
For lower risk tolerance, we recommend using the indicator on ETHUSD. For maximizing profits, we recommend using the indicator on BCHUSD.
- Always set stop loss according to your own risk tolerance
- Take profits along the way.
Recommended Use for Advanced Traders:
- Position sizing:
Larger position if the 1HR signal is in the same direction compared to the 4HR trend.
Smaller position if the 1HR signal is in the opposite direction compared to the 4HR trend.
- Better entry/exit points:
Track the 1HR signal for the asset you are trading on other exchanges along with the BTCUSD 1HR signal. Sometimes, the signals from different exchanges occur with a 1-2 hour difference. You could use these earlier signals along with a lower time frame (eg. 15min) entry confirmation from your own exchange for better entry / exit points.
Go to www.phi-deltalytics.com and sign up for a FREE trial today!
Let us know if you have any questions or recommendations. We are here for your success!
Disclaimer:
It should not be assumed that the methods, techniques, or indicators presented will be profitable or that they will not result in losses. Past results are not necessarily indicative of future results. This is not a solicitation of any order to buy or sell.
Directional Momentum Flux StrategyDirectional Momentum Flux (DMF) is a compound indicator designed to surface signals of projected change in directional momentum. The primary goal is to identify possible momentum inflection points and signal them before they happen, which is reached by applying a set of well-known high-level indicators (e.g. DEMA, RSIs, CCIs and VWAP), lower-level indicators (e.g. BOP, PPO and RMOMO), and some special sauce brewed in-house by yours truly.
This strategy is invite-only. Invitations are offered for a one-time fee of $250 payable in several cryptocurrencies (ETH, BTC, DASH, XMR or ZEC). Once you've got an invitation, you will automatically receive updates forever*.
DMF was designed to work across multiple asset classes. Extensive backtesting has been performed over multiple sample series (not just during the bull runs, for example) and against a randomized pool of assets. But don't take my word for it, I've included some time-based backtesting support tools to make it easy-peasy for you to validate the results yourself!
Under the hood, DMF is powered by numerous indicators, including:
✓ Double EMA & Composite SMA;
✓ Double RSI (fast & slow, variable);
✓ Composite StochRSI & VWAP (StochRSI+, two series);
✓ Composite Commodity Channel Index (CCI+, two series);
✓ Volume-Weighted Balance of Power (BOP itself was adapted from BOP_LB, kudos to LazyBear);
✓ Percentage Price Oscillator (PPO, split, two series);
✓ Range-adjusted Momentum Oscillator (RMOMO, my fancy MOM variant);
It crunches all that data and generates signals which are issued in two ways:
✓ Vertical Bands (or VBs) - Entry/Exit windows as vertical bands that remain "lit" (e.g. the background of a series of candles is semi-opaque white) while the top-level signals are showing sufficiently strong BUY signals. These windows are the primary entry/exit targets and can be relied upon with sufficient risk mitigation (e.g. a reasonable stop-loss or other scale-out exit mechanism). A VB followed immediately by an egg is as good as gold.
✓ Eggs - Entry/Exit validation signals that confirm the condition indicated by VBs. A lit VB without an egg in the same or next candle session is considered to be valid , but not safe (see above warning). Waiting for an egg can improve performance at the risk of missing the best possible entry point. Consider your risk tolerance and act accordingly.
Basic Instructions:
✓ Configure The Settings! The defaults are pretty good, but don't be scared to try variations. For example, by default SHORT positions are disabled. You might want to enable them if your risk tolerance allows them. (IMO there's gold on both ends of the rainbow. 🌈)
✓ Pay attention to the VBs. If you see a lit band being placed in an otherwise dark area, it's a projected inflection point. This is expected to be validated and confirmed in the same or immediately following period with an egg. You can enter a LONG position at this time.
✓ Pay attention to the eggs. If you see an egg, it's a confirmation that the VB changes in the same or immediately preceding candle period is valid. If you did not enter or exit your position at the point of the VB shift, now is the time to do so.
✓ Watch for the end of a VB period and be prepared to exit your position quickly as the next egg may be accompanied by a large directional momentum inflection.
Things to Note:
📉 - DMF is designed for day trading with aggressive position TTLs (15m was the upper bound during development and strategy testing). It appears to issue valid signals for other intervals, but it was not designed for >15m and YMMV. Don't go manually opening a LONG with no exit strategy and go to sleep... it probably won't work out to your benefit. You should be prepared to exit positions at any time. (Pro tip: automation is your friend!)
💸 - DMF indicator is not free from risk. As with all investment strategies, it is crucial to exercise caution and only trade with funds you are comfortable losing. DMF does not offer any form of guarantee or warranty, implied or otherwise. If you lose money, your house, your 401K... that's on you. (Pro tip: don't risk anything you're not ready to lose, because losses are part of the game and you WILL have them.)
🤔 - By using this indicator, you understand that any and all risks are the sole and complete responsibility of the end user (yeah, that's you). Don't use it if you're not 100% clear that you know exactly what you're doing. (Pro tip: always ask questions if you're feeling confused.)
⏱ - * Forever in this context means that, where room for improvement exists, I will improve it over time and you'll get all updates until I stop making them. (Pro tip: nobody lives forever.)
Megalodon Pro Automated Shorter Term Trader BacktesterSTRATEGY
When to buy: Green bar - Orange bar Closes
When to sell: Purple bar closes
Stop to trailing: No
Stop loss: No
Commission Rate: 1%
Willing to risk per trade: 10%
Maximum possible trades in one direction: 10
RESULTS
Net Profit without 1% commission: 112.64%
Net Profit with 1% commission: 103.92%
Starting Balance: $100,000
Profits Made: $103,918.38
New Balance with 1% commission: $203,918.38
Dates traded: 3/17/2019 and 8/3/2019
Total Close Trades: 80
Percent Profitable: 98.75%
Profit Factor: 152.158
Max Drawdown: 0.35% - $745.14
Buy & Hold Return: 174.66%
Commission Paid: $9621.46
Total Open Trades: 10
Number of Winning Trades: 79
Number of Losing Trades: 1
Avg Win Trade: 1.33%
Avg. Lose Trade: 0.92%
Largest Win Trade: 2.77%
Let me know what you guys think about the results?
Due to the tradingview's limitations on providing the shorter time frame price data, we had to provide a 60 minute time frame backtesting results.
The shorter time frames including 1 minute and 15 minutes backtesting results are way more accurate and precise than 60 minutes time frame results.
Megalodon Trading
Enlightening the Modern Investors
