FiboStaircase by Solah AzmanThe band represents the range between local highest and local lowest and the layers are proportional to Fibonacci ratio. Suitable for 5 minutes charts.
Volume
VoDVo by Solah AzmanVoDVo stand for Volatility Discounted Volume
The indicator examines the abnormality of volatility discounted volume. Several parameters would be applied to make buy signals(green bars) and McGinley crossovers are used to make sell signals(red bars). Please note that sell signals are not meant to be an optimal point, you are advised to use your best judgment to find an optimal price prior to sell signal.
It is designed to accommodate some degree of discretionary decision, hence objects are colour coordinated with traffic light.
Green bars: buy signal: entry recommendation.
Yellow dotted line: please reevaluate your position.
Red bars: sell signal: sell everything! it's too late to get creative.
Total Trend Follow Strategy with Pyramid and DCA
Introduction
This is a Pine 4 trend following strategy. It has a twin study with several alerts. The design intent is to produce a commercial grade signal generator that can be adapted to any symbol and interval. Ideally, the script is reliable enough to be the basis of an automated trading system web-hooked to a server with API access to crypto, forex and stock brokerages. The strategy can be run in three different modes: long, short and bidirectional.
As a trend following strategy, the behavior of the script is to buy on strength and sell on weakness. As such the trade orders maintain its directional bias according to price pressure. What you will see on the chart is long positions on the left side of the mountain and short on the right. Long and short positions are not intermingled as long as there exists a detectable trend. This is extremely beneficial feature in long running bull or bear markets. The script uses multiple setups to avoid the situation where you got in on the trend, took a small profit but couldn’t get back in because the logic is waiting for a pullback or some other intricate condition.
Deep draw-downs are a characteristic of trend following systems and this system is no different. However, this script makes use of the TradingView pyramid feature accessible from the properties tab. Additional trades can be placed in the draw-down space increasing the position size and thereby increasing the profit or loss when the position finally closes. Each individual add on trade increases its order size as a multiple of its pyramid level. This makes it easy to comply with NFA FIFO Rule 2-43(b) if the trades are executed here in America. The inputs dialog box contains various settings to adjust where the add on trades show up, under what circumstances and how frequent if at all. Please be advised that pyramiding is an advanced feature and can wipe out your account capital if your not careful. During the backtest use modest setting with realistic capital until you discover what you think you can handle.
In addition to pyramiding this script employs DCA which enables users to experiment with loss recovery techniques. This is another advanced feature which can increase the order size on new trades in response to stopped out or winning streak trades. The script keeps track of debt incurred from losing trades. When the debt is recovered the order size returns to the base amount specified in the TV properties tab. The inputs for this feature include a limiter to prevent your account from depleting capital during runaway markets. The main difference between DCA and pyramids is that this implementation of DCA applies to new trades while pyramids affect open positions. DCA is a popular feature in crypto trading but can leave you with large “bags” if your not careful. In other markets, especially margin trading, you’ll need a well funded account and much experience.
Consecutive loss limit can be set to report a breach of the threshold value. Every stop hit beyond this limit will be reported on a version 4 label above the bar where the stop is hit. Use the location of the labels along with the summary report tally to improve the adaptability of system. Don’t simply fit the chart. A good trading system should adapt to ever changing market conditions. On the study version the consecutive loss limit can be used to halt live trading on the broker side (Managed manually).
Design
This script uses nine indicators on two time frames. The chart (primary) interval and one higher time frame which is based on the primary. The higher time frame identifies the trend for which the primary will trade. I’ve tried to keep the higher time frame around five times greater than the primary. The original trading algorithms are a port from a much larger program on another trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs form the basis of the entry and exit points. The alligator itself is used to identify the trend main body.
The entire script is around 1700 lines of Pine code which is the maximum incidental size given the TradingView limits: local scopes, run-time duration and compile time. I’ve been working on this script for over a year and have tested it on various instruments stocks, forex and crypto. It performs well on higher liquidity markets that have at least a year of historical data. Though it can be configured to work on any interval between 5 minutes and 1 day, trend trading is generally a longer term paradigm. For day trading the 10 to 15 minute interval will allow you to catch momentum breakouts. For intraweek trades 30 minutes to 1 hour should give you a trade every other a day. Four hours and above are for seasoned deep pocket traders. Originally, this script contained both range trading and trend following logic but had to be broken into separate scripts due to the aforementioned limitations.
Inputs to the script use cone centric measurements in effort to avoid exposing adjustments to the various internal indicators. The goal was to keep the inputs relevant to the actual trade entry and exit locations as opposed to a series of MA input values and the like. As a result the strategy exposes over 50 inputs grouped into long or short sections. Inputs are available for the usual minimum profit and stop-loss as well as safeguards, trade frequency, DCA, modes, presets, reports and lots of calibrations. The inputs are numerous, I’m aware. Unfortunately, at this time, TradingView does not offer any other method to get data in the script. The usual initialization files such as cnf, cfg, ini, json and xml files are currently unsupported.
Example configurations for various instruments along with a detailed PDF user manual is available.
Indicator Repainting And Anomalies
Indicator repainting is an industry wide problem which mainly occurs when you mix backtest data with real-time data. It doesn't matter which platform you use some form of this condition will manifest itself on your chart over time. The critical aspect being whether live trades on your broker’s account continue to match your TradingView study. Since this trading system is featured as two separate scripts, indicator repainting is addressed in the study version. The strategy (this script) is intended to be used on historical data to determine the appropriate trading inputs to apply in the study. As such, the higher time frame of this strategy will indeed repaint. Please do not attempt to trade from the strategy. Please see the study version for more information.
One issue that comes up when comparing the strategy with the study is that the strategy trades show on the chart one bar later than the study. This problem is due to the fact that “strategy.entry()” and “strategy_exit()” do not execute on the same bar called. The study, on the other hand, has no such limitation since there are no position routines. However, alerts that are subsequently fired off when triggered in the study are dispatched from the TradingView servers one bar later from the study plot. Therefore the alert you actually receive on your cell phone matches the strategy plot but is one bar later than the study plot. A lot can happen in four hours if you are trading off a 240 bar.
Please be aware that the data source matters. Cryptocurrency has no central tick repository so each exchange supplies TradingView its feed. Even though it is the same symbol the quality of the data and subsequently the bars that are supplied to the chart varies with the exchange. This script will absolutely produce different results on different data feeds of the same symbol. Be sure to backtest this script on the same data you intend to receive alerts for. Any example settings I share with you will always have the exchange name used to generate the test results.
Usage
The following steps provide a very brief set of instructions that will get you started but will most certainly not produce the best backtest. A trading system that you are willing to risk your hard earned capital will require a well crafted configuration that involves time, expertise and clearly defined goals. As previously mentioned, I have several example configs that I use for my own trading that I can share with you along with a PDF which describes each input in detail. To get hands on experience in setting up your own symbol from scratch please follow the steps below.
The input dialog box contains over 50 inputs separated into seven sections. Each section is identified as such with a makeshift separator input. There are three main areas that must to be configured: long side, short side and settings that apply to both. The rest of the inputs apply to pyramids, DCA, reporting and calibrations. The following steps address these three main areas only. You will need to get your backtest in the black before moving on to the more advanced features
Step 1. Setup the Base currency and order size in the properties tab.
Step 2. Select the calculation presets in the Instrument Type field.
Step 3. Select “No Trade” in the Trading Mode field.
Step 4. Select the Histogram indicator from section 3. You will be experimenting with different ones so it doesn’t matter which one you try first.
Step 5. Turn on Show Markers in Section 3.
Step 6. Go to the chart and checkout where the markers show up. Blue is up and red is down. Long trades show up along the blue markers and short trades on the red.
Step 7. Make adjustments to Base To Vertex and Vertex To Base net change and roc in section 3. Use these fields to move the markers to where you want trades to be. Blue is long and red is short.
Step 8. Try a different indicator from section 3 and repeat Step 7 until you find the best match for this instrument on this interval. This step is complete when the Vertex settings and indicator combination produce the most favorable results.
Step 9. Turn off Show Markers in Section 3.
Step 10. Enable the Symmetrical and Deviation calculation models at the top of section 5 and 6 (Symmetrical, Deviation).
Step 11. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale)
Step 12. Return to step 3 and select a Trading Mode (Long, Short, BiDir, Flip Flop). If you are planning to trade bidirectionally its best to configure long first then short. Combine them with BiDir or Flip Flop after setting up both sides of the trade individually.
Step 13. Trades should be showing on the chart.
Step 14. Make adjustments to the Vertex fields in section 3 until the TradingView performance report is showing a profit.
Step 15. Change indicators and repeat step 14. Pick the best indicator.
Step 16. Use the check boxes in sections 5 and 6 to improve the performance of each side.
Step 17. Try adding the Correlation calculation model to either side. This model can sometimes produce a negative result but can be improved by enabling “Adhere To Markers” or “Narrow Correlation Scope” in the sections 5 and 6.
Step 18. Enable the reporting conditions in section 7. Look for long runs of consecutive losses or high debt sequences. These are indications that your trading system cannot withstand sudden changes in market sentiment.
Step 19. Examine the chart and see that trades are being placed in accordance with your desired trading model.
Step 20. Apply the backtest settings to the study version and perform forward testing.
This script is open for beta testing. After successful beta test it will become a commercial application available by subscription only. I’ve invested quite a lot of time and effort into making this the best possible signal generator for all of the instruments I intend to trade. I certainly welcome any suggestions for improvements. Thank you all in advance.
[rs] TrendLazyBear's WaveTrend port has been praised for highlighting trend reversals with precision and punctuality (minimal lag). But strong "3rd Wave" trends can "embed" or saturate any oscillator flashing several premature crosses while stuck overbought/oversold. This happens when the trend stretches over a longer timescale than the oscillator's averaging window or filter time constant. Our solution: simultaneously monitor many oscillator timescales. Watch for fresh crossovers in "dominant" timescales alternating most smoothly between the overbought (red shade) and oversold (green shade) range.
Combo Backtest 123 Reversal & EMA & Volume WeightingThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The related article is copyrighted material from Stocks & Commodities 2009 Oct
WARNING:
- For purpose educate only
- This script to change bars colors.
[VIP] Long/Short Strategy 79-80 Profit Percentage or even moreThis is using Toolkit buy and sell:
You have 7 days trial, so you should make sure that you make a profit instead of loss
We have 4 strategies named 01, 02, 03, 04 and will be added more soon
Disclaimer
Tested from 3 minutes to 1 Day time frame
Possible repainting because I use security function
I use Pinescript v4
barmerge.gaps is disabled
barmerge.lookahead is enabled
Configuration
Intense Level: default is 6, to provide signal frequency to the chart, the lower number will return more signal, the image is 3, means more attentions or actions*] Possible repainting because I use security function
Custom Timeframe: default is using chart time frame, to calculate signal based on different timeframes without change the chart time frame.
Strategy: Other approaches long or short algorithm
SSL Chaikin BF 🚀Combined my earlier SSL Channel script with the Chaikin Money Flow indicator.
Link to the SSL Channel script here:
INSTRUCTIONS
Look at the background, the signals are represented by the colors.
Bright green = long signal from SSL Channel
Bright blue = long signal from Chaikin Money Flow
Bright red = short signal from SSL Channel
Bright orange = short signal from Chaikin Money Flow
Green = we should be in a long from one of the signals - ok to enter back in if we get stopped out and still green
Red = we should be in a short from one of the signals - ok to enter back in if we get stopped out and still red
White = no trade
SIGNAL GENERATION
The SSL calculation prints a channel on the chart consisting of 2 lines.
This strategy gives a Long signal when price closes above the top of these 2 lines and a Short signal when it closes below the bottom.
A long signal occurs when EITHER we get an SSL long cross OR the Chaikin MF crosses above the upper threshold.
A short signal occurs when EITHER we get an SSL short cross OR the Chaikin MF crosses below the lower threshold (see settings to adjust upper and lower threshold).
STOP LOSS AND RE-ENTRY
We use a fixed stop loss of 2%
If we get stopped out but we still have the conditions for our trade (i.e. we get stopped out of a long but the next candle still shows a long condition after closing) then we re-enter.
Note: The SSL signals are generated on a cross of the price and the channels but there is still an active long signal as long as price stays above the upper band, same for below the lower band for short. Similarly, the Chaikin signal occurs as long as the Chaikin line is above the upper threshold (or below the lower threshold if short).
Tested and optimised for XBT/USD on Bitmex.
REAL STRATEGY : Dow_Factor_MFI/RSI_DVOG_StrategyI'm actually one of those who think it's more important to extract clues from indicators than strategy, but I wanted to test the data about the probability and dow factor I've shared for a long time.
Usually, Bitcoin is used as an eye stain for strategy success, since the graph has increased significantly from the beginning.
To prevent this, I used a commission and in the last lines of document I shared Bitmex's Bitcoin and Ethereum 1W test results.
I don't think there's a factor to repaint. ( Warn me if u see or observe )
I considered Bitcoin because I found working with liquid parities much more realistic.
Ethereum and Bitmex have been featured as a spot and may soon find a place at the CME , so I've evaluated the Ethereum .
But since the Ethereum Bitmex was also spot new, I deleted results that were less than 10 closed trades.
Since the Dow Theory also looks at the harmony in the indices, just try it in the Cryptocurrency market.
Use as indicator in other markets. Support with channels, trend lines with big periods and other supportive indicators.
And my personal suggestion : Use this script and indicator TF : 4H and above.
Specifications :
Commission. ( % 0.125 )
Switchable Methods ( Relative Strength Index / Money Flow Index )
Alarms. (Buy / Sell )
Position closure when horizontal market rates weighs.
Progressive gradual buy/sell alarms.
Clean code layout that will not cause repaint. (Caution : source = close )
Switchable barcolor option (I / 0 )
*****Test results :*****
drive.google.com
Summary:
It was a realistic test.
It has achieved great success in some markets, but as I mentioned earlier, use it only to gain insight into the price movements of cryptos.
Use as indicator in other markets.
This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository : github.com
Stay tuned ! Noldo.
inwCoin Elder's Force Index Risk% Strategy=========================
English
=========================
Just Elder's Force Index Strategy with smooth entry and exit
Buy = EFI (green line) above zero and EMA of EFI cross zero up
Sell = EFI under zero and EMA of EFI cross zero down
==========================
Thai
==========================
ตัวปรับปรุงจาก EFI เดิม โดยเปลี่ยนวิธีเข้าไม้ ให้มองเป็นการคุมความเสี่ยงแทน
อยากเสี่ยงกี่ % ก็เลือกเอา แต่ถ้าแนะนำ ก็ควรเสี่ยง 1%
แต่ถ้าเป็นกราฟวีค ผมว่า เสี่ยงมากหน่อยก็ได้เหมือนกัน เพราะนานๆ มันโผล่ที
option High/Low candle อะไรนั่น คือจะเป็นการหาจุด stoploss ย้อนหลังว่าจะดูย้อนกลับไปกี่แท่ง
และจะเอาจุด stop นี้ไปคำนวณ position size อีกที
ดังนั้น ถ้า stop ต่ำ เราก็จะเข้าได้เยอะขึ้นนั่นเอง
[Tirano] Volume Paradox Volume Paradox 소개
1. 한번이라도 지지 혹은 저항이 작용한 구간을 라인으로 표현합니다. 한번 맞고 튕긴 구간은 되돌림을 통한 리테스트가 있기 마련이고, 다시한번 튕길 가능성이 높습니다.
- 따라서 되돌림이 일어났을때 선으로 표현되는 구간에서 진입하면 수익으로 연계할 확률이 높습니다.
2. 전체적인 흐름을 구름과 채널의 형태로 표현합니다.
- 구름이 서서히 내려오며 하방 추세라면 매수신호에서 long으로 진입하기 보다는, 구름에 닿았을때 short으로 진입하는게 좋습니다.
- 전체적인 흐름(추세)를 거스르지 않고 매매할 수 있습니다.
- 한 방향으로 진행되는 one way 상황에 유리합니다.
기타 문의 사항은 댓글 남겨주시면 감사하겠습니다.
Hi. this is Tirano
Introduction to Volume Paradox
1. The lines where the support or resistance acts once are expressed by lines. Once hit and bounced, there is a retest through bounce, and it is likely to bounce again.
- Therefore, if you enter from the section represented by the line when the recurrence occurs, the probability of linking with the profit is high.
2. Express the overall flow in the form of clouds and channels.
- If the cloud is going down slowly, it is better to go into the short when touching the cloud, rather than going into long in the buy signal.
- You can trade without overtaking the whole flow (trend).
- It is advantageous for one way situation that goes in one direction.
If you have any other questions, please leave a comment.
OBV EMA X BF 🚀Credit to Lancelot_Augur for the idea of EMAs of On Balance Volume.
The signals are generated when the faster OBV EMA crosses the slower one.
BACKGROUND COLORS:
Green = go long
Red = go short
White = you have been stopped out
This strategy uses a 3% stop loss.
Gaussian MFI BFThe signals are based on the Gaussian Channel calculated by Donovan Wall. Thanks also to Kiasaki for Rate of Change code.
Simply going long and short based on Gaussian channel was not consistent enough so I also included an MFI filter. We only go long if Money Flow Index is greater than the last candle (more money is flowing in than out). The opposite for short. Also employed Rate of Change function (white background) to avoid sideways market.
A 2% stop loss seems to be the most balanced for this strategy but can can altered in the settngs.
Also included a take-profit function but it seems this is best not implemented for this strategy, at least in the case of XBT/USD.
A derivative of The MFI is also plotted on the chart simply to compare the current candle with the last candle visually.
Background color:
Green = Long
Red = Short
White = No Trade
Volume Flow BFBased on code by oh92 and kiasaki.
Measures volume to indicate Bull vs Bear.
Go long when green, short when red, wait patiently when white.
BITCOIN_BUYSELL_vs_DOMINANCEUpdated to three lines similar to the 20, 50, 200 ema however they utilize RSI + MACD + EMA + ROC + Averaging powers to generate buy and selling zones
CS Trading Bot Strategy - Crypto EditionWhat is this strategy about?
The CS Trading Bot Strategy is for researching the most lucrative Crypto assets to be selected for in the corresponding Study (that actually generates alerts/signals).
The Strategy is very profitable for a vast amount of Crypto assets and the algorithm behind is not overfitted.
How to use it?
As a rule of thumb, the best time-frames are the 4h, 3h, 2h and 1h (sometimes 30M and 45M).
For many high profile/volume assets such as BTC, ETH and XRP the Daily is very profitable, as well. Weekly and Monthly time-frames should be avoided.
It is not recommended to apply this strategy to new assets with only a few weeks of history. I recommend a history of at least 6 months and 5 trades in the Strategy stats.
In the Strategy settings, you can adjust the time-span to see how the Strategy performs in certain conditions like bear-markets (see for example 4H on BTCUSDT from Jan 2018 - March 2019).
What to look for on researching?
If you are researching, make sure to look for these metrics in the Strategy overview:
Linear equity growth (especially over a larger period of time)
Low drawdown
Profitability above 50%
Average gain per trade of 5%
A satisfying profit for your selected time-span
Min. 5 trades, better 10
Min. 6 Months time-span
As a head-start, I suggest to research on the following assets, so you get a feeling about what to look for based on the list above:
POLONIEX:BTCUSDT
POLONIEX:ETHUSDT
POLONIEX:XRPUSDT
Why Poloniex? Because it has a long history for these assets...
Once you determined your favorite assets, you are ready to add the corresponding Study and within, set alerts for them.
Here the Webhooks are very interesting as you can forward your signals to your own trading bot or simply wait until my trading bot is available (currently in development)
Since I develop myself, rest assured it will be available soon. Look out for comments below as soon as it is available!
The bot is a commercial package including:
This Strategy for finding the best assets
The Study for setting alerts based on the best assets (webhooks, emails, popups, etc)
Access to our automated trading bot (separate download, as soon as available)
How to access?
If you are interested to get access to the complete package, please don't hesitate to send me a private message for a quote.
The amount of concurrent users using the package (=licenses) is limited to max. 500 a month (more we cannot manually handle has Tradingview has no automation for this yet).
Access to the bot package is based on a monthly basis. If you get access, you will asked in person at the end of the month if you want to continue or not.
Trend SR based strategyIt is a logical continuation of my Trend SR based indicator
Algo of strategy is next
1)Detect SR levels
2)Calculate separate channels for SR made by highs and lows
3)it takes position if the current SR is breaking and close price is not in opposite channel zone
4)It closes position if prise leave current channel zone or as an option (stoploss) if SR is breaking in an opposite direction
-uses //@version=4
-no volume needed for detecting SR breaking and entering a long position
-volume confirmation of SR breaking may be used in the option section
-volume has an option to use smoothing with MA: SMA, AHMA, VIDYA
-volume has option to use volume pump as confirmation of SR breaking (simple dev function)
-stoploss as option
-uses barstate.isconfirmed (returns true if the script is calculating the last (closing) update of the current bar) for entering position on current bar close
-as an option, all or only current SR levels detected by algo can be plotted
-option to plot SR as a channel - as FILTERED whole SR history, in a long or short position it plots only stoploss level and entering opposite position level, in no position it plots long and short entering levels
It works well on 1D
For using on 4h or lower timeframes - Volume confirmation with VIDYA or AHMA may give better results
For better work especially on LTF algo needs better detection of highs and lows, now it uses fractal filter of last bars
MA-MTF-STRAT-SLTS=== This is an updated version of the MA-MTF strategy ===
+ Take profit
+ Stop Loss
+ Traling Stop
Market Conformer [Strategy] Market conformer is a simple yet powerful tool to help you take money out of the market rather. 2 Week Free Trial
SC_TraderTrading sur stablecoin
Réglé pour PAXUSDT fonctionne avec d'autres pairs mais il y a moin de volumes
DepthHouse Trading System [Gods Envelope] Backtest StrategyCreated for Bitcoin!
*All testing has been done on the 1 Day time frame of BTC USD pairs.
Use at your own risk.
DepthHouse Trading System Basics
The Cloud:
The cloud is used in a very similar manner as the ichimoku cloud. A complete cross above or below the represents a macro trend change. The cloud then could be used as dynamic support and resistance zones.
By default there is no smoothing to the full cloud. If you wish to add smoothing, you can change the ‘Trend Base On’ option to ‘Modded Cloud Average’ to add price action and smoothing into the cloud’s calculations. The Modded Cloud can then be used in the same manner as the Full Cloud. Generally, the Full Cloud is more forgiving and has less Macro Trend changes. By default, this option is turned off. The support or resistance zone created will be shown on the info panel on the right.
Horizontal Levels:
A Horizonal zone is generated each time there is a micro level trend change. For example, as soon as a positive micro trend change occurs a green horizontal level will be plotted.
These levels then can be used as temporary support and resistance zones. The Horizontal Break Trading Strategy is entirely based on these levels. These levels are also shown on the info panel on the right.
The Envelope Itself: (by default this is off)
By selecting the Overbought and Oversold Ranges option, a cloud envelope will appear around the price action. This envelope represents the overbought and oversold ranges. If the price action should go into these zones, the info panel on the right will show ‘CAUTION’ beside the God Values as this signals that the pair is either overbought or oversold.
The God Values:
The God values are listed on the info panel on the right. These are the values created by the Godmode indicator. Generally, below 20 or above 80 it signals for caution as the price action has overextended itself.
The Back-Test Strategy Options:
⇅ - Child Fomo Positioning:
Child Fomo Positioning strategy is entirely based on the macro trend change with the center cloud. As soon as there is a complete candle close above or below the cloud and a trend change takes place. The back-test places a market order as soon as the next candle opens. By default, it then will not close this position until the price action fully crosses the cloud once again.
⇅ - Horizontal Break Trading:
Horizontal Break Trading Strategy is entirely based on the horizontal levels generated and the macro trend direction. For example, say the Macro Trend is up, and a green, positive horizontal level is formed. As soon as a complete candle closes above the upper level of the positive zone, a limit order is placed in hope that the price action comes back down and retests, filling the order. This long will not close then until a negative level is formed. As soon as a negative level is formed a stop/loss order is placed on the lower level of the horizontal support zone. It will then do the opposite in a bearish trend, and margin trading is turned on.
⇅ - Parent Positions :
Parent Positioning Strategy is based on the overall trend and the center cloud levels. This strategy has limit orders waiting on the level of the cloud that is closest to the price action. Therefore, using this strategy alone, the back-test system waits for the trend to be confirmed, and then follows the price action with limit orders waiting on the cloud to be retested. By default this order does not close until a Marco trend change occurs.
⇅ - Take 50% Partial Profits:
This options allows the back-test to take 50% profit or loss when one of the two options occur.
Horizontal Break: This would close 50% of the position in the same manner it would close a trade using the horizontal break trading system.
God Values: Once the price action enters the oversold or overbought clouds, it would then place a close order as soon as the price action exits the cloud.
⟲ - Backtest Year Start Date :
Start year of the back-testing. If set to ex. 2017, the back-test will not calculate any trades that took place before Jan. 1 of 2017.
⚖ - Margin Trading :
By default, margin trading is turned off. Simply switch this option to on the enable ‘Short Trading’ into the strategy back-test.
Notes: If you are back testing multiple strategies at the same time, you must increase the pyramiding to correspond to the number or strategies.
My Favorite Settings:
Margin = Off
Pyramiding = 2 [Settings → Properties → Pyramiding → 2 orders
Child Fomo Positioning = On
Horizontal Break Trading = On
Everything else off 😊
DISCLAIMER: Past performance does not guarantee future results.
Use at your own risk.