Three EMAs Trend-following Strategy (by Coinrule)Trend-following strategies are great because they give you the peace of mind that you're trading in line with the market.
However, by definition, you're always following. That means you're always a bit later than your want to be. The main challenges such strategies face are:
Confirming that there is a trend
Following the trend, hopefully, early enough to catch the majority of the move
Hopping off the trade when it seems to have run its course
This EMA Trend-following strategy attempts to address such challenges while allowing for a dynamic stop loss.
ENTRY
The trading system requires three crossovers on the same candle to confirm that a new trend is beginning:
Price crossing over EMA 7
Price crossing over EMA 14
Price crossing over EMA 21
The first benefit of using all three crossovers is to reduce false signals. The second benefit is that you know that a strong trend is likely to develop relatively soon, with the help of the fast setup of the three EMAs.
EXIT
The strategy comes with a fixed take profit and a volatility stop, which acts as a trailing stop to adapt to the trend's strength. That helps you get out of the way as soon as market conditions change. Depending on your long-term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive.
The position is closed when:
The price increases by 4%
The price crosses below the volatility stop.
The best time frame for this strategy based on our backtest is the 4-hr. Shorter timeframes can also work well, although they exhibit larger volatility in their returns. In general, this approach suits medium timeframes. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Recherche dans les scripts pour "Trailing stop"
StopLossThat indicator helps us to determine the stop loss levels or prices in terms of atr levels. It includes 4 (four) options which are 1-Don't Risk, 2-Low Risk, 3-High Risk, 4-Risk Lover their exploding rates are 1-2.4% , 2-3.9% , 3-6.7% , 4-16.7% in sort. It helps us to produce new methods to decreace our risk/reward ratio. It is ATR Trailing StopLoss indicator. The indicator is awesome in terms of comfortable. Thanks and waiting for your feedbacks.
ATR Trading SetupThis simple script base on function of ATR Trailing Stop (aka SuperTrend) to plot Trading Setup on chart with detail as below:
1. Type of Average True Range (ATR)
+ The function calculate ATR may base on 1 of 3 type of Average: RMA, SMA, EMA
2. Trading Setup
2.1 Long setup
+ SuperTrend is upTrend
+ Entry Long at (or below) last value ATR Trailing Stop of Previous Trend (DownTrend)
+ Stop loss at first value ATR Trailing Stop of now Trend (upTrend)
+ Take profit at first value ATR Trailing Stop of Previous Trend (downTrend)
+ Move stop loss follow ATR Trailing Stop (green dot)
2.1 Short setup
+ SuperTrend is downTrend
+ Entry Short at (or above) last value ATR Trailing Stop of Previous Trend (upTrend)
+ Stop loss at first value ATR Trailing Stop of now Trend (downTrend)
+ Take profit at first value ATR Trailing Stop of Previous Trend (upTrend)
+ Move stop loss follow ATR Trailing Stop (red dot)
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
Three EMAs Trend-following Strategy (by Coinrule)Trend-following strategies are great because they give you the peace of mind that you're trading in line with the market.
However, by definition, you're always following . That means you're always a bit later than your want to be. The main challenges such strategies face are:
Confirming that there is a trend
Following the trend, hopefully, early enough to catch the majority of the move
Hopping off the trade when it seems to have run its course
This EMA Trend-following strategy attempts to address such challenges while allowing for a dynamic stop loss.
ENTRY
The trading system requires three crossovers on the same candle to confirm that a new trend is beginning:
Price crossing over EMA 7
Price crossing over EMA 14
Price crossing over EMA 21
The first benefit of using all three crossovers is to reduce false signals. The second benefit is that you know that a strong trend is likely to develop relatively soon, with the help of the fast setup of the three EMAs.
EXIT
The strategy comes with a fixed take profit and a volatility stop, which acts as a trailing stop to adapt to the trend's strength. That helps you get out of the way as soon as market conditions change. Depending on your long term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive.
The position is closed when:
The price increases by 4%
The price crosses below the volatility stop.
The best time frame for this strategy based on our backtest is the 4-hr. Shorter timeframes can also work well, although they exhibit larger volatility in their returns. In general, this approach suits medium timeframes. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
You can execute this strategy on your favourite exchange at coinrule.com
MACD + DMI Scalping with Volatility Stop by (Coinrule)Trend-following strategies are cool because they allow you to catch potential high returns.
The main limit of such strategies are:
False signals > the asset is not experiencing a strong trend. The strategy gets stuck with a sideways move or, worst, with the beginning of a downtrend.
The sell signal may come later than the actual top, leading in some cases to turn a trade in profit into a loss.
This strategy tries to address these limitations to develop a trading system that optimises the entry and closes trade once the profit achieves a pre-set level.
ENTRY
The trading system uses the MACD and the DMI to confirm when is the best time for buying. Combining these two indicators prevents trading during downtrends and reduces the likelihood of getting stuck in a market with low volatility.
The system confirms the entry when:
The MACD histogram turns bullish.
When the positive DMI is greater than the negative DMI, there are more chances that the asset is trading in a sustained uptrend.
EXIT
The strategy comes with a fixed take profit combined with a volatility stop, which acts as a trailing stop to adapt to the trend's strength. Depending on your long term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive.
The position is closed when:
The price increases by 3%
The price crosses below the volatility stop.
The best time frame for this strategy based on our backtest is the 3-hr . The 4-hr can work well. In general, this approach suits medium to long term strategies
The strategy assumes each order to trade 30% of the available capital to make the results more realistic. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Advanced GET: Tom Joseph's XTL, DMA Cloud & Breakout SignalsThe Expert Trend Locator ( XTL ) was developed by Tom Joseph to identify major trends, similar to elliott wave 3 type swings.
Blue bars are bullish and indicate a potential upwards impulse.
Red bars are bearish and indicate a potential downwards impulse.
White bars indicate no trend is detected at the moment.
Added to the indicator is the recommended use to enter a position, as explained by Tom Joseph in his book Applying Technical Analysis:
Once a blue or red bar appears, the indicator signals an entry level, a stop loss level and two target levels (2nd is optional).
The levels can be shown until a new signal emerges or just above/below the breakout bar.
Finally, a cloud formed by two displaced moving averages (DMA) is included, which allow the trend to continue its momentum. During an uptrend the lower moving average could serve as a trailing stop, and during a downtrend the upper moving average could serve as the trailing stop.
Enjoy!
Mini Line ChartMini Line Chart show a small line chart beside the main chart. Detail of Mini Line chart as below:
1.Line chart adjustable:
- Size: number of bar to show as line chart
- Source: Open/ High/ Low/ Close/ HL2/ HLC3/ OHLC4
- Color
2.Rainbow Moving average adjustable:
- Type: SMA/EMA
- Period: Period of 1st MA
- Source: Open/ High/ Low/ Close/ HL2/ HLC3/ OHLC4
- Displacement: Period of moving avarage for 2nd MA to 7th MA
- 7 Color
3.Key Level
- Key Level is Line value when Line crossed Rainbow Moving Average
- Direction Up when Line cross over Rainbow Moving Average
- Direction Down when Line cross under Rainbow Moving Average
- Direction Not Defined when Line cross inside Rainbow Moving Average
4.Key Line
- Key Line ploted by Key Level at the main chart
- Width and color of Key Line adjutable.
5.Key Bar
- Key Bar is the Time when Line crossed Rainbow Moving Average
- Key Bar Up when Line cross over Rainbow Moving Average
- Key Bar Down when Line cross under Rainbow Moving Average
- Color of Key Bar Up and Down adjutable
6.Detail Panel
- Background color & Style of Label adjutable
- Size & color of Text adjutable
- Location of Label adjutable by X offset & Y offset
7.Alert
- Alert will send "Key Level" to email or app when Line and Rainbow make a new cross.
8.Trading
- Consider to open position when Price pullback near to "Key Line" then breakout "Key Bar"
- Consider to stay out when Price pullback to "Key Line" then breakout "Key Line".
- Consider to close position or trailing stoploss when Line and Rainbow make a new cross.
- Stoploss, Stop Order may be place at High or Low of Key Bar.
- Take profit may be place at nearest Key Line in the past
- Trailing Stop may be move with Key Line.
Qullamaggie BreakoutThe intent of this strategy is to buy breakouts with a tight stop on smaller timeframes in the direction of the longer term trend. Default longer term trend is the daily, but the user can choose any timeframe to use for the SMAs (which act as filters and trailing stops).
Exit the trade using a trailing stop of a close below either the 10 MA or 20 MA (user choice) on that larger timeframe as the position moves in your favor (i.e. whenever position price rises above the MA). This is one area where this script could use a little work or some human intervention - when the trade is entered right in the vicinity of the moving averages, you get some whipsaw. Not sure how to avoid that at this point though if you want to look at those longer term moving averages as your exit criteria.
Option of using daily ATR as a measure of finding contracting ranges and ensuring a decent risk/reward. (If the difference between the breakout point and your stop level is below a certain % of ATR, it could possibly find those consolidating periods.)
Bollinger Bands strategy with RSI and MACD v1.0 This is a strategy based on the Bollinger Bands, where buy trades are made when the price crosses the lower line of the Bollinger Bands upwards, and sell trades are made when the price crosses the upper line downwards.
In addition, it is possible through the inputs to enable trading with RSI and MACD, so that buy or sell trades are supported by these two indicators.
Trades are partially and fully closed in the following way, a buy trade will close half of the position when the price touches the middle line of the Bollinger bands and will be fully closed when the price touches the upper band. In the case of a sell position, half of the position will be closed if the price touches the middle band and the entire position will be closed when the price touches the lower band. Alternatively, a fixed take profit can be placed. In case the price moves against us, trailing stops can be placed.
In case of selecting to use RSI, MACD, or MACD variation, trades will be executed as long as The Bollinger Bands, and all the above-mentioned indicators give the same signals, either buy or sell.
For example in the case of selecting only Use RSI, buy trades would be made as long as RSI and BB give buy signals.
Strategy inputs:
-BB source: Bollinger Bands price source.
-Bollinger Bands SMA length: Bollinger Bands simple moving average length.
-Bollinger Bands StdDev length: Bollinger Bands standard deviation length.
-Trail Long Loss (%): Distance in percentage at which the stop loss will initially be placed for buy trades.
-Trail Short Loss (%): Distance in percentage at which the stop loss will be initially placed for sell trades.
-Maximum orders: Maximum of simultaneous operations, for example, if it is 3, up to 3 parallel operations of buy and up to 3 parallel operations of sell will be carried out.
-Position size: Number of contracts per trade.
-Use RSI: If selected, the strategy will also trade based on oversold or overbought signals provided by the RSI.
-RSI source: RSI price source.
-RSI period: The RSI period to use.
-RSI value for buy: If the RSI is below this value, it will give a buy signal.
-RSI value for sell: If the RSI value is above this value, it will give a sell signal.
-Use MACD: If selected, buy trades will be made when the MACD crosses 0 upwards, and sell trades will be made when the MACD crosses 0 downwards.
-Use MACD variation: Only available if MACD is previously selected. In this case, buy trades are made if the MACD value in the last 3 candles has been decreasing, and sell trades are made if the MACD value has been increasing.
-MACD source: MACD price source.
-MACD fast length: MACD fast EMA lenght.
-MACD slow length: MACD slow EMA lenght.
-MACD signal length: MACD signal EMA lenght.
-Use maximum TP long: If selected, a fixed take profit will be placed for buy trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit long (%): Distance in percentage at which the take profit will be placed for buy trades.
-Use maximum TP short: if selected, a fixed take profit will be placed for sell trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit short (%): Distance in percentage at which the take profit will be set for sell trades.
I hope you like it and as always all feedback is welcome.
KAMA Strategy - Kaufman's Adaptive Moving AverageThis strategy combines Kaufman's Adaptive Moving Average for entry with optional KAMA, PSAR, and Trailing ATR stops for exits.
Kaufman's Adaptive Moving Average is, in my opinion, a gem among the plethora of indicators. It is underrated considering it offers a solution that intuitively makes a lot of sense. When I first read about it, it was a real 'aha!' moment. Look at the top, pink line. Notice how during trending times it follows the trend quickly and closely, but during choppy, non-trending periods, the KAMA stays absolutely flat? Interesting! To trade with it, we simply follow the direction the KAMA is pointing. Is it up? Go long. Is it down? Go short. Is it flat? Hold on.
How does it manage to quickly follow real trends like a fast EMA but ignore choppy conditions that would whipsaw a fast EMA back and forth? It analyses whether recent price moves are significant relative to recent noise and then adapts the length of the EMA window accordingly. If price movement is big compared to the recent noise, the EMA window gets smaller. If price movement is relatively small or average compared to the recent noise, the EMA window gets bigger. In practice it means:
The KAMA would be flat if a 20 point upwards move occurred during a period that has had, on average, regular 20 point moves BUT
the KAMA would point up if a 20 point move occurred during a period that has, on average, had moves of only around 5 points.
In other words, it's a slow EMA during choppy flat / quiet flat periods, and a fast EMA as soon as significant volatility occurs. Perfect!
-----
The Strategy
The strategy is more than just a KAMA indicator. It contains:
KAMA exit (optional)
ATR trailing stop loss exit (optional)
PSAR stop loss exit (optional)
KAMA filter for entry and exits
All features are adjustable in the strategy settings
The Technical Details:
Check out the strategy's 'Inputs' panel. The buy and sell signals are based on the 'KAMA 1' there.
KAMA 1: Length -- 14 is the default. This is the length of the window the KAMA looks back over. In this instance, it c
KAMA 1: Fast KAMA Length -- 2 is the default. This is the tightest the EMA length is allowed to get. It will tend towards this length when volatility is high.
KAMA 1: Slow KAMA Length -- 20 is the default. This is the biggest the EMA length is allowed to get. It will tend towards this length when volatility is low.
KAMA Filter
The strategy buys when the KAMA begins to point up and sells when the KAMA points down. Generally, the KAMA is very good at filtering out the noise itself - it will go flat during noisy/choppy periods. But to add another layer of safety, its author, Perry Kaufman, proposed a KAMA filter. It works by taking the standard deviation of returns over the length of the the 'KAMA 1: Length' I mentioned above and multiplying it by an 'Entry Filter' (1 by default) and 'Exit Filter' (0.5 by default). The entry condition to go long is that the KAMA is pointing up and and it moved up more than 1 x St. Dev. of Returns. The exit condition is when the KAMA is pointing down and it moved down by more than 0.5 x St. Dev. of Returns.
Thanks
Thanks to ChuckBanger, cheatcountry, millerrh, and racer8 for parts of the code. I was able to build upon their good work.
-----
I hope this strategy is helpful to you.
Do you have any thoughts, ideas, or questions? Let me know in the comments or send me a message! I'd be glad to help you out.
If you need an indicator or strategy to be built or customised for you, let me know! I'll be glad to help and it'll probably be cheaper than you think!
MACD Strategy with trailing ATR stopThis is a trend based strategy that uses EMA and SMA intersection for determining the direction of the trend and MACD for the entry signal. At the same time, the strategy uses ATR, which is working as a trailing stop.
The strategy entry will work when the Trend ribbon will turn green and MACD line will crossover the signal line. This strategy also takes into account the pyramiding and allows to enter the second time if the signal will repeat itself.
There are 3 exit points. The first 10% of the position will be closed when the price will increase by 1%. The second portion of 50% will be closed when the price reaches 5% Take profit target. The remaining 40 % of the position will wait for the exit signal which will occur when the price closes below the ATR line.
The strategy is using a fixed amount in dollars, each time the entry occurs the strategy will enter with 100$ in the order.
The strategy can be applied to other crypto assets. However, they will require input changes.
Best of luck with your trading.
888 BOT #backtest█ 888 BOT #backtest (open source)
This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade.
It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode.
Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage.
It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following:
1. Jurik Moving Average
It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3.
There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag'
The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost.
Green: Bullish , Red: Bearish .
2. Range filter
Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term.
First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'.
The filter is then calculated by adjusting price movements that do not exceed the specified range.
Finally, the target ranges are plotted to show the prices that will trigger the filter movement.
Green: Bullish , Red: Bearish .
3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura)
It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'.
The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold.
The red color of the bars indicates that the trend is down and that the ADX is above the threshold level.
The orange color of the bars indicates that the price is not strong and will surely lateralize.
You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation.
4. Parabolic SAR
This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend.
5. RSI with Volume
This indicator was created by LazyBear from the popular RSI .
The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices.
LazyBear added a volume parameter that makes it more accurate to the market movement.
A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish .
6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z )
It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals.
We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line.
There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation.
7. Volume Condition
Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement.
With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line.
The maximum leverage is 8.
8. Bollinger Bands
This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph.
The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average)
The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average)
The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average.
the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance.
In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing.
Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit.
█ STOP LOSS and RISK MANAGEMENT.
A good risk management is what can make your equity go up or be liquidated.
The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%.
% Risk: (% Stop Loss x % Equity per trade x Leverage) / 100
First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa.
In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED'
'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state.
█ BACKTEST
The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as:
- RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown.
- PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5.
- SHARPE: (Return system - Return without risk) / Deviation of returns.
When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters.
- MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss).
To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0
The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well.
PARAMETERS
'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest.
'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars.
'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section.
'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition.
The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes.
For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
BuyHigh-SellLow StrategyYeah. You read it right. It's not a mistake. It is buy high and sell low strategy.
Main entry condition is to buy when price hits 40 day Donchian channel top. This is combined with my other regular filters which are aligned moving average and new high/low filter and yearly high/low filter.
Exit condition can be based on two things:
Donchian channel : Set appropriate DonchianExitLength. Lower line of donchian channel acts as trailing stop.
ATR Based trailing stop : Select appropriate ATR multiplier and length.
What a surprise!! You can buy high, sell low and still make money.
Chandelier Exit | SAR/Long Only (4CUP)As introduced by StockCharts.com, Chandelier Exit was developed by Charles Le Beau and featured in Alexander Elder's books, this sets a trailing stop-loss based on the Average True Range (ATR).
Chandelier Exit can be formulated as a stop-and-reverse (SAR) or as a traditional trailing stop-loss version shown by Stockcharts.com.
The main difference is that, in SAR version, the indicator is usually formulated in a higher of previous or spot indicator (HPS) for long and lower of previous and spot indicator (LPS) for short position.
This indicator is coded to show both the SAR version and the traditional one shown by Stockcharts.com (for long position) by simply clicking a tick in the Version box.
The ATR multiplier is relaxed to allow non-integer input, like 3.5, 4.25, ... for a greater flexibility to tailor your best-fit exit strategy.
If you find this indicator is useful to you, Star it, Follow, Donate, Like and Share.
Your support is a highly motivation for me.
Williams Fractal Trailing StopsUnlike the built-in version, you can configure how many bars it takes to confirm a fractal. This indicator plots all Williams high and low fractals, and a stop line that trails the fractals up and down. Includes long and short stop alerts. You can choose whether the trail flips long-short based on the price being exceeded within a candle or on candle close. This indicator deals only with fractals and doesn't get into the Alligator or anything else.
I've commented it extensively, so that it might be useful for people learning Pinescript. Enjoy!
Why is it ok to backtest on TradingView from now on!TradingView backtester has bad reputation. For a good reason - it was producing wrong results, and it was clear at first sight how bad they were.
But this has changed. Along with many other improvements in its PineScript coding capabilities, TradingView fixed important bug, which was the main reason for miscalculations. TradingView didn't really speak out about this fix, so let me try :)
Have a look at this short code of a swing trading strategy (PLEASE DON'T FOCUS ON BACKTEST RESULTS ATTACHED HERE - THEY DO NOT MATTER). Sometimes entry condition happens together with closing condition for the already ongoing trade. Example: the condition to close Long entry is the same as a condition to enter Short. And when these two aligned, not only a Long was closed and Short was entered (as intended), but also a second Short was entered, too!!! What's even worse, that second short was not controlled with closing conditions inside strategy.exit() function and it very often lead to losses exceeding whatever was declared in "loss=" parameter. This could not have worked well...
But HOORAY!!! - it has been fixed and won't happen anymore. So together with other improvements - TradingView's backtester and PineScript is now ok to work with on standard candlesticks :)
Yep, no need to code strategies and backtest them on other platforms anymore.
----------------
Having said the above, there are still some pitfalls remaining, which you need to be aware of and avoid:
Don't backtest on HeikenAshi, Renko, Kagi candlesticks. They were not invented with backtesting in mind. There are still using wrong price levels for entries and therefore producing always too good backtesting results. Only standard candlesticks are reliable to backtest on.
Don't use Trailing Stop in your code. TradingView operates only on closed candlesticks, not on tick data and because of that, backtester will always assume price has first reached its favourable extreme (so 'high' when you are in Long trade and 'low' when you are in Short trade) before it starts to pull back. Which is rarely the truth in reality. Therefore strategies using Trailing Stop are also producing too good backtesting results. It is especially well visible on higher timeframe strategies - for some reason your strategy manages to make gains on those huge, fat candlesticks :) But that's not reality.
"when=" inside strategy.exit() does not work as you would intuitively expect. If you want to have logical condition to close your trade (for example - crossover(rsi(close,14),20)) you need to place it inside strategy.close() function. And leave StopLoss + TakeProfit conditions inside strategy.exit() function. Just as in attached code.
If you're working with pyramiding, add "process_orders_on_close=ANY" to your strategy() script header. Default setting ("=FIFO") will first close the trade, which was opened first, not the one which was hit by Stop-Loss condidtion.
----------------
That's it, I guess :) If you are noticing other issues with backtester and would like to share, let everyone know in comments. If the issue is indeed a bug, there is a chance TradingView dev team will hear your voice and take it into account when working on other improvements. Just like they heard about the bug I described above.
P.S. I know for a fact that more improvements in the backtesting area are coming. Some will change the game even for non-coding traders. If you want to be notified quickly and with my comment - gimme "follow".
BEST Trailing Take Profit StrategyHello traders
Hope you enjoyed your weekend on my behalf. Was staying home working ... ^^
This is my first strategy educational post I'm doing ever
While I'm generally against posting strategies because it's very easy to fake performance numbers... I cannot prevent myself from sharing a few cool strategy snippets anyway.
So from now on, I'll be sharing a few strategies also - generally not to showcase performance but only to show what pinescript can do.
As once again strategy performance can be faked is so many ways... :)
What's on the menu?
We all know what a trailing-stop is. right? right? Ok... sharing the definition here :)
A trailing stop is designed to protect gains by enabling a trade to remain open and continue to profit as long as the price is moving in the investor's favor. The order closes the trade if the price changes direction by a specified percentage or dollar amount.
But...do you know what a trailing profit is?
Short definition : Well the same but with your profit limit order.
Long definition : A trailing profit is designed to increase your gains by enabling a trade to remain open and continue to profit as long as the price is moving in the investor's favor. The order closes the trade if the price hits the trailing profit level specified percentage or dollar amount.
Some trading strategies used both a trailing stop AND trailing profit. Not making any recommendation here - only sharing what's possible in the realm of trading and pinescripting
Trigger me I'm famous
I developed many trading strategies in my career and often I've been asked to trigger a trailing-stop or trailing-profit once a certain % move has been made.
I integrated here a Take Profit trigger - once hit, it will activate the trailing profit
On the screenshot below, the TP trigger is plotted in orange. Once the price goes past that level for the first time, I'll start trailing the profit level.
In other words, when we see a price makes an interesting move in percentage value - we decide to offset the profit as we concluded that once it reached such distance - then it leads often to more profit
Of course, using only a trailing profit without stop/trailing-stop/invalidation isn't smart and the surest way to kiss goodbye a trading capital and trading and your good mood
See you tomorrow for another strategy snippet
All the BEST
Dave
ATR + Trailing StopsSimple visualisation of Average True Range in Pinescript V4.
The script has two modes: Running and Trailing.
In Running mode, it continuously displays the ATR above and below the price. Specifically, it displays the High and Low price plus and minus the ATR times a user-supplied multiplier. This can be helpful for visualising volatility.
In Trailing mode, it displays the same ATR line, except the line trails until price crosses it. When price crosses it, it flips from long to short or vice-versa.
You could use trailing ATR as a stop loss. Adjust the multiplier and lookback period for your asset and preference.
Parabolic SARThis is a redesign of the built-in Parabolic SAR indicator. I added a proper input system, an option to highlight initial points for both lines and an option to choose points width. So, customize it as you want.
Parabolic SAR was originally developed by J. Welles Wilder and described in his book "New Concepts in Technical Trading Systems" (1978). It is a trend-following indicator that can be used as a trailing stop loss.
To know which settings for PSAR are the most profitable on your instrument and timeframe you can use this tool
Profitable Parabolic SAR
Repulsion Moving Average - Least Crosses MAA Moving Average With Less Whipsaws Signals
The cross of the price with a moving average is one of the easiest strategy in technical analysis and could have worked if market price wasn't so noisy (In general periods of 1 to 20 produces the most whipsaws) . So it is possible to create a moving average who can manage to escape those noisy periods and produce 0 whipsaws ?
This question was asked by one of my work colleagues and i responded : "well... almost 0".
The Motion Of A Moving Average
Moving Average estimate the Trend and will always have phase shift, they will still follow the price and cross it during high volatility or low volatility periods, and when a moving average cross the price during a low volatility period you can expect lot of crosses.
In order to fix this behaviour a simple calculation exist :
FixMa = LongPeriodMA + MediumPeriodMA - ShortPeriodMA
We can see things in that way, the medium term MA is high pass filtered (subtracted) with a short term MA and the result is summed to a long term MA. We give more reactivity to our long term MA and thus creating some kind of repulsion motion with the price. Of course this can sometimes make the filter kinda zero-lag to some price periods (when the long term MA is near the price) .
Comparison
In red a simple moving average of period 100 and in blue our repulsion moving average :
In the image the short term moving average period is 100, since the long term period of the moving average is equal to short term x 3 you could be interested to look at the comparison of our moving average with the actual long term moving average :
Less crosses, i think you can see it.
Something to notice is that its always a tradeoff between Signal Speed and Signal Numbers , a classic moving average create faster signals but also a high numbers of them, a classic trailing stop create less signals but slowest ones, our moving average is some kind of average between those indicators.
Improvement Methods - Choice of The Filter/More Terms
A bad behaviour of our filter can be fixed by using filters who tend to create less crosses with the price or by developing the formula of our filter by adding more terms as follow :
fixma = ma(Price,a) + ma(Price,b) + ma(Price,c) - ma(Price,d) - ma(Price,e)
where a > b > c > d > e . The number of subtractive terms is equal to the number of summing terms - 1.
Way To Use
This indicator can be used like any moving average with cross strategy. Can also be used as a trailing stop.
No tests have been made proving that this indicator provide support and resistance levels, such signals come from more centered indicators.
Hope you enjoy
For any questions/demands feel free to pm me, i would be happy to help you :)
MACD Study DASH/BTC 3H ALERTS for AutoviewAutoview qualified Study Script Alerts for Autoview
Please Set Up Alert 1x Bars Close
For Margin Trading (Poloniex)
ULTIMATE PINE INJECTOR V1.2 INSERT
MACD Created by user ChrisMoody
NO REPAINT
With Stopp Loss and Trailing Stopp and Backtest
Now is for Free for all !
Strategy CCTBBO v2 | FadiorSecond version of the CCTBBO strategy. CCTBBO is a price oscillator that fluctuate between -200 and 200 according to price volatility. Value 0 represent mean price - 2 * StdDev and value 100 represent mean price + 2 * StdDev.
Signal is generated when oscillator cross over / under it's EMA. Position is closed with trailing stop. Source of the indicator is the highs of the last n bars.
Tips if you want to trade with it :
- use small EMA period to increase number of signals and fasten detection of price reversal.
- If there is too much signals you can try increase EMA or filter noise by playing with the margin. The margin is the minimum value between the oscillator and it's moving average to consider a signal valid.
- define your trailing stop by percentage of the price or by ticks. Default value 0.013 equal 1.3% of the Bitcoin price which is approximatly $5.
- make sure you correctly set the number of digits of your current security
