NRTH_ Momentum AlgoA NRTH_ Premium Momentum Based Strategy
Comes included with the Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
4 Levels of confirmation
Customizable MA Ribbon
Usage Tips
This strategy is designed for Swing Trading and Intra-Day timeframes (1hr+)
The Algo uses multiple levels of convolution and confirmation before entering a trade, best used in trending markets. utilizing Stochasitc RSI overbought and oversold levels and an 1-3 MAs to identify trends and pullbacks.
Maximize the accuracy of your signals with up to 4 levels of convolution before entering a trade, filtering out the noise as much as possible.
You can set the overbought and oversold levels required for trade entries and set the types of MAs and how many are required to confirm trending momentum
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 23/9/2021-15/11/2021
Entry value at $1000 with 10x leverage
Binance standard taker fee rate (0.04%)
ATR Exits : 1:2.66 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Search in scripts for "liquidity"
NRTH_ Smart SignalsA Custom Unique indicator by NRTH_
Comes included with the Premium Package.
NRTH_ Smart Signals is made up of over 5+ indicators and custom calculation methods. Get access to a full set of trading tools & relevant data all within one indicator to give you the levels of confluence you need.
Smart Signals works in any market & allows users to:
Detect the direction of trends in the price using two different algorithms designed for both trend following and contrarian traders.
Get automatic pivot point levels in real-time.
Filter out noise with the MA Trend Filter
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
2 Calculation Methods
Get Confirmation
Use our MA Trend filter to detect the direction of trends for any asset & on any timeframe allowing traders to increase their confidence in positions and follow trends. The larger the cloud, the larger the trend.
Choose between the two calculation methods:
Leading
More sensitive
Designed to predict moves based on market data
Lagging
Less sensitive
Waits for confirmation signals
Both calculation methods have the possibility to adjust the sensitivity of these signals to market price variations, as well as the option to make them less sensitive to ranging markets so that you can trade only the variations you want.
The algo uses both momentum and trend calculation to find an entry, highly recommended use with the built-in MA Filter for best results.
Trade 24/7 without pressing a button
Smart Signals has integrated alerts which give you the ability to automate your signals with 3rd party applications. Simply adjust the sensitivities for your market and trade on autopilot.
You can also use Heikin Ashi Charts with the algo IF you only place limit orders on the exact price line that the trade outputs to ensure accurate real-time results
(Heikin Ashi trading is NOT recommended for automated trading, manual limit orders must be placed in order to match real-time results with backtested data)
Backtesting Results Info
Period 7/7/2021-15/11/2021
Entry value at $1000 with 10x leverage
Binance standard taker fee rate (0.04%)
ATR Exits : 1:2 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
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MACD StrategyNRTH_ MACD strategy, packed with alerts, visual backtesting, and ready for automation.
Comes included with the Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
Usage Tips
Works on any timeframe, tweak period lengths accordingly.
Recommended for use on higher timeframes, with the MA Filter
Simple, and customizable MACD strategy, trade with a defined exit strategy and entry parameters.
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 1/1/2021-1/10/2021
Entry value at $1000 with 10x leverage
ATR Exits : 1:2 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
SuperTrend StrategyNRTH_ SuperTrend strategy, packed with alerts, visual backtesting, and ready for automation.
Comes included with the Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
Usage Tips
Works on 15m+ timeframes, tweak sensitivity accordingly
We recommend using higher timeframes with very strict entries
Well known SuperTrend strategy, packed into a NRTH_ strategy package, with visual backtesting, custom risk management, and alerts ready for automation
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 1/1/2021-1/10/2021
Entry value at $1000 with 100x leverage
ATR Exits : 1:1.35 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Smart Entry BETAA Custom Unique indicator by NRTH_
Comes included with the Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
Usage Tips
Smart Entry is currently a BETA algo. we are still in the process of tweaking and programming it only give entry signals when they are confirmed, and work of very strict parameters to allow for trading all the way down to the 5m timeframe. It is currently at a stage where it can produce profitable trades or even just act as a confirmation signal in use with another strategy, but this project will be ongoing until we can obtain high profitability levels on very low timeframes.
The algo uses both momentum and trend calculation to find an entry, highly recommended use with the built-in MA Filter for best results.
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 1/1/2021-1/10/2021
Entry value at $1000 with 10x leverage
Binance standard taker fee rate (0.04%)
ATR Exits : 1:2.9 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Wave Trend AlgoA NRTH_ Premium Double Trend Confirmation Algo
Comes included with the Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
Usage Tips
This strategy works on timeframes as low as 15m, however not recommended for scalping with high fees.
Best performance with high Risk/Reward Ratios
The double trend confirmation (1 slow, 1 fast) uses lagging trend confirmation to your advantage, Identify confirmed moves and enter trades with high RR for the best results.
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 1/1/2021-1/10/2021
Entry value at $1000 with 100x leverage
ATR Exits : 1:3.3 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Trend AlgoA NRTH_ Premium Momentum Based Strategy
Comes included with the Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
Usage Tips
This strategy works on timeframes as low as 5m, great for scalping or day trading.
The algo identifies price momentum with strict entry signal settings (can be made more or less sensitive).
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 1/1/2021-1/10/2021
Entry value at $1000 with 10x leverage
Binance standard taker fee rate (0.04%)
ATR Exits : 1:2 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pullback AlgoFlagship NRTH_ Premium Strategy
Comes included with the Essentials or Premium Package.
Indicator features
Built-In Alerts
Visual Risk Management
Customizable Entry Rules
Usage Tips
This strategy is designed for Swing Trading and Intra-Day timeframes (1hr+)
The algo targets pullbacks in an up or down-trending scenario allowing for multiple entries in a strong trending market.
Works for all markets with the ability to customize to your liking.
Backtesting Results Info
Period 1/1/2021-1/10/2021
Entry value at $1000 with 10x leverage
Binance standard taker fee rate (0.04%)
ATR Exits : 1:2 RR
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Disclaimer
Copyright NRTH_ Indicators 2021.
NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Fractal Corridors BacktestFractal Corridors is a strategy developed a used by Vladimir Poltoratskiy. You can learn about this in his books from the series Trading Code Is Open which I recommend reading.
The strategy allegedly works best in a high-liquidity environment with little to no impactful events. The author likes to trade EURUSD, Copper, and USDCAD, I think, was another pair.
Logic is based on his 3-bar fractals and their fractures as they come. Basically, if the fractal level gets broken by a certain number of ticks (usually 6 - 14% Average Daily Range), a corridor is built and stop-market entry will be filled.
There are other rules you will find in the book. Most importantly - avoid trading during events and extremely choppy symbols which seem to follow no logic.
Lastly, the script includes 5 different definitions of Fractal Corridor. I think Mode 5 is the correct one but I was unable to confirm that exactly as it gets a little tricky. I am willing to disclose this part of the code to other Pinecoders, but it will not be available for everyone, because that could discourage people from getting the book.
Thanks to @mincho1010 for help with testing different versions as I worked on the script.
Have a good day!
FTB Strategy (Automated)Hey traders!
This is a profitable strategy script I created to teach my students how to automate their scripts using 3rd party APIs (more info available in my profile link at the bottom of this page).
What Is This?
This strategy is called the "Follow The Bear" strategy.
It's a forex trading strategy designed for one purpose and one purpose only: to take advantage of a recurring pattern on EURUSD's 1-Hour chart during the European market open.
The basic explanation is this:
During the European open we want to see a rally followed by a swing high shooting star / reversal pinbar candle. This typically means that traders buying EURUSD during the European/London open are now trapped long, and as price begins to retrace they are forced to sell, fueling a short-term retracement.
This strategy takes advantage of that pattern by aggressively selling short with a tight stop-loss above the pinbar candle and a conservative target.
There are many ways to trade this pattern, but this script represents my personal method for trading it.
It is not 100% accurate (no strategy is), but it does have a considerably high win rate over the past 6+ years considering its simplicity and I've been trading it for several months and can attest to its edge over the markets (at least through the Oanda data feed which is what I use).
The strategy rules are this:
Market: EURUSD
Timeframe: 1-Hour
Direction: Short Only
Timezone: 6AM-10AM GMT
Days: Tuesday, Wednesday, Thursday
Entry: Close of Pinbar Setup
Stop: 2 pips above signal candle
Target: 1:1
Risk: Up to you (backtest first! I use 1%)
The rule for the pinbar/shooting star candle pattern is that the candle must both open and close in the lower 50% of the bar's total size.
Automation
This script is already prepared to be auto-traded through a 3rd-party API that was created to relay TradingView alerts to your broker to execute and manage trades.
Sorry for the lack of information - due to TradingView's house rules I cannot go into any more detail here, but if you're interested in automating this script there is more info available in the resources offered under my profile link at the bottom of this page.
Disclaimer
The material and the resources offered here are for educational purposes only. Always do your own research and only execute trades based on your own personal judgement.
Trading foreign currencies can be a challenging and potentially profitable opportunity for investors. However, before deciding to participate in the forex market, you should carefully consider your investment objectives, level of experience, and risk appetite. Most importantly, do not invest money you cannot afford to lose.
There is considerable exposure to risk in any foreign exchange transaction. Any transaction involving currencies involves risks including, but not limited to, the potential for changing political and/or economic conditions that may substantially affect the price or liquidity of a currency, investments in foreign exchange speculation may also be susceptible to sharp rises and falls as the relevant market values fluctuate.
The leveraged nature of forex trading means that any market movement will have an equally proportional effect on your deposited funds. This may work against you as well as for you. Not only may investors get back less than they invested, but in the case of higher risk strategies, investors may lose the entirety of their investment. It is for this reason that when speculating in such markets it is advisable to use only risk capital.
Trading foreign exchange on margin carries a high level of risk, and may not be suitable for all investors. Past performance is not indicative of future results. The possibility exists that you could sustain a loss of some or all of your initial investment and therefore you should not invest money that you cannot afford to lose. You should be aware of all the risks associated with foreign exchange trading, and seek advice from an independent financial advisor if you have any doubts.
FCMS - Time in x Timing - The Market - StudyTime in x Timing - The Market
█ DISCLAIMER
THIS IS NOT AN INVESTMENT ADVICE
The use of strategy functions doesn't compile recurring investments/contributions as used in this study, so disregard the results of the strategy tester.
As seen in the style/plots lists, I calculate the results in internal variables to analyze historical results.
prnt.sc
Anyway, this is only a historical study and past performance is no guarantee of future results
█ CONCEPTS
There is a discussion about Timing x Time in the market.
The point of this discussion is between buying in the better moment, against exposing yourself to the market as soon as possible.
Anyone who argues that the most important factor is the time exposed to the asset, no matter when, is usually based on the SP500 asset.
As shown in the image above, a hypothetical investor who made a single investment of US $ 1500.00 in December 1999, was trapped by a volatility of approximately 10% in the period, followed by a loss of around 50% in the following years. In December 2012, this investment was finally positive, and after 20 years it accumulated a gain of 180% - without reducing inflation in the period.
█ Timing the news
When an asset reaches a new historic high, the idea of "time in the market is the best strategy" gains momentum, after all, at this "moment" everyone previously exposed to the asset is making a profit, regardless of inflation or any benchmark.
█ Time in the market
Considering using this strategy, we can define 3 points for a brief analysis:
1. Asset
SPX is used as a reference for this type of statement due to the difficulty of finding another one with such consistency, liquidity, ease of access and time of history.
2. Long Term
We cannot consider it a long term strategy, as it never has a predetermined term
3. Recurring contributions.
To generate an average cost spread over periods of high and low, opening the possibility to realize positions with profit in eventual needs.
As shown in the image below, if this hypothetical investor made monthly contributions since the date of the first contributions, he would have the possibility of making profits between the period from October 2004 to September 2008, returning to the loss until October 2010, and then with a profit of 100% over the total amount invested.
Below, an example of an asset in a downtrend with the final balance returning below the total volume invested.
█ First Conclusion
> Recurring contributions (3) to an asset (1) during a downtrend will increase the loss for an indefinite period (2).
> Recurring contributions (3) to an asset (1) during an uptrend are more important than immediate exposure to the asset, regardless of the term (2).
> Recurring contributions (3) in an asset (1) in a region of possible long-term top (2), will negatively affect profitability even considering the resumption of the upward trend in an indefinite period.
█ Timing the market
As shown in the image below, following the strategy above: a single contribution in the amount of US$ 1000.00 at the worst moment (Dec / 2017), the hypothetical investor would have hold a loss of over 80%. At the moment it accumulates 89% of profit, having reached the maximum of 200% at the beginning of the year.
By making monthly contributions since the date of the first contribution, this investor would have the possibility to make profits from May 2019, accumulating 335% profit at the moment.
Adding the condition of buying the maximum cost of 10% above the average price of the last 200 days, the final result is little affected, and reduces losses in the initial investment period.
Adding the condition of taking profit of 50% of the position when the price is above the average of the last 200 days, and reinvesting 50% of the cash obtained in the next purchase opportunity (paying a maximum of 10% above the average of the last 200 days), the profit cumulative final price drops to 270%, but the realized profit already exceeds the total amount invested, which eliminates future risk of the operation. (favorable risk-return ratio)
Adding the condition to reinvest 50% of the cash flow, with the condition to buy when the price is below 20% away from the average of the last 200 days, the final result would be more than 400% of retained earnings, and realized profit in cash greater than the total amount invested.
█ Other Assets
It's possible to analyze other assets, including dividend yield and earnings for the equity formula. This way we can analyse assets more fairly.
ITSA4
BOVA11
█ Final Conclusion
> Exposing yourself early to a good opportunity may be good, but the risk of doing so at the wrong time could delay your projects indefinitely.
> Investment recurrence is the main driver for your future results.
> Setting a maximum value for making entries reduces short-term fluctuation but, in the long run, the effect is almost imperceptible.
> The realization of profits at favorable times considerably reduces the risk and volatility of the balance, in addition to providing cash for better opportunities in the short and medium term.
> Taking advantage of part of this cash flow for purchases in moments of opportunity, enhances future earnings.
Even an extremely simple strategy like the one used in the examples above, offers a better risk return for the investor compared to the immediate exposure to an asset.
Thus arises the desire to study more sophisticated strategies, as we will see in the future
█ Challenges
Time in the market
- Find good assets (1) to make recurring contributions (3) for an indeterminate period (2).
Timing the market
- Reading the markets to position yourself in favor of the more probable trends at certain times with predetermined terms.
NYCOB Kill Zone StrategyI have now turned the NYCOB Kill zone into a stand alone strategy!
Fully customizable in regards to time of entry and levels of entry but the standard settings are the best all around.
Original NYCOB Kill Zone text below
This script plots the H and L of the first 2 hours of the NYC session and shades the space between in which i deem the NYC Order Block
It also maps out the First two hours on the chart as well so you can understand when the OB has formed
Over the past 3 years of trading cryptocurrency i have noticed a phenomena that has occurred nearly every day
The H or L will 90% of the time will be posted in the first two hours of this session
knowing this means you understand if you just wait til this time you can better your odds at not getting stop hunted due to poor entry
A few things to take from this study are these.
1. after the OB is formed
2. whichever side gets taken out first (H/L) will 90% define the bias for the day. I have found that using the m13-m15 TF will add some more confirmation with 1-2 closes outside of range H/L/
3. After general bias has formed 2 things can happen
A) PA just takes off and there is really nothing you can do about it unless you had other studies that told you that will happen
B) PA will dip back INTO the OB and create the OTE which is any retracement below the .5 Fibonacci of the shaded OB
4. Typically OTE happens after the session has ended
5. If you used OTE off of the past days NYCOB then you can use the new (forming or just formed) NYCOB to CONFIRM your initial bias presented from the previous days OTE and bias.
6. When PA cannot close outside the NYCOB it presents a range to range play where PA will visit the opposite side of the range to chase liquidity,
7. When the NYCOB is TIGHT then deviation is more likely to result in price expansion, when the NYCOB is WIDE then deviation tends to present more range to range plays.
8. After bias is formed and OTE has been made your stops should always be outside the NYCOB. I use the m30 or H1 ATR to get a slight cushion from the OB to ensure i dont get stop hunted.
Standard TP are all set at the same level but you can adjust them accordingly
Shout out to Elevate-Trading family member Boederzeng for helping me with the code!
RSI+MA_Scalping_StrategyOANDA:USDJPY
This strategy is based on Larry Connors' 2-period RSI strategy. I applied this for scalping(5Minutes) in the forex market based on his strategy.
Best use for YEN Crosses (High liquidity) trading such as USD/JPY and EUR/JPY.
Notes:
1. This strategy doesn't work well if volatility is low.
2. Don't go against Long-term trends. This strategy has practically no stop loss during rapid trends, so if going against trends can be devastating.(Especially GBP/JPY)
3. Don't martingale trading with this strategy. Based on my research, At first glance, it seems to work, but lose in the long run.
Full Range Trading Strategy with DCA - Crypto, Forex, Stocks
Introduction
This is a Pine 4 range trading 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 range trading strategy, the behavior of the script is to buy on weakness and sell on strength. As such trade orders are placed in a counter direction to price pressure. What you will see on the chart is a short position on peaks and a long position on valleys. Just to be clear, the range as well as trends are merely illusions as the chart only receives prices. However, this script attempts to calculate pivot points from the price stream. Rising pivots are shorts and falling pivots are longs. I refer to pivots as a vertex in this script which adds structural components to the chart formation. When trading in “Ping Pong” mode long and short positions are intermingled continuously as long as there exists a detectable vertex. Unfortunately, this can work against your backtest profitability on long duration trends where prices continue in a single direction without pullback. I have designed various features in the script to compensate for this event. A well configured script should perform in a range bound market and minimize losses in a trend. I also have a trend following version of this script for those not interested in trading the range. Please be aware these are two types of traders. You should know who you are.
This script employs a DCA feature which enables users to experiment with loss recovery techniques. This is an 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. This implementation of DCA does not use pyramid levels. Only the order size on subsequent new trades are affected. Pyramids on the other hand increase the size of open positions. If you are interested in seeing pyramids in action please see the trend version of this script which features both DCA and pyramids. While DCA is a popular feature in crypto trading, it can make you a “bag” holder if your not careful. In other markets, especially margin trading, you’ll need a well funded account and much trading experience to manage this feature safely.
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 twelve indicators on a single time frame. 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 vertices are calculated using one of five featured indicators. Each indicator is actually a composite of calculations which produce a distinct mean. This mathematical distinction enables the script to be useful on various instruments which belong to entirely different markets. In other words, at least one of these indicators should be able generate pivots on an arbitrarily selected instrument. Try each one to find the best fit.
The entire script is around 1800 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 nearly two years 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. Although the script can be implemented on any interval, it has been optimized for small time frames down to 5 minutes. The 10 minute BTC/USD produces around 500 trades in 2 ½ months. The 1 hour BTC/USD produces around 1300 trades in 1 ½ years. 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.
Tackling this repainting issue has been a major project goal of this script. Based on my experience with Pine, most of the problems stem from TradingView’s implementation of multiple interval access. Whereas most platform provide a separate bar series for each interval requested, the Pine language interleaves higher time frames with the primary chart interval. The problem is exacerbated by allowing a look-ahead parameter to the Security function. The goal of my repaint prevention is simply to ensure that my signal trading bias remains consistent between the strategy, study and broker. That being said this is what I’ve done address this issue in this script:
1. This script uses only 1 time frame. The chart interval.
2. Every entry and exit condition is evaluated on closed bars only.
3. No security functions are called to avoid a look-ahead possibility.
4. Every contributing factor specified in the TradingView wiki regarding this issue has been addressed.
5. I’ve run a 10 minute chart live for a week and compared it to the same chart periodically reloaded. The two charts were highly correlated with no instances of completely opposite real-time signals.
The study does indeed bring up the TV warning dialog. The only reason for this is because the script uses an EMA indicator which according to TradingView is due to “peculiarities of the algorithm”.
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.
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 five 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 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 2. 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 2.
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 red markers and short trades on the blue.
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.
Step 8. Try a different indicator from Section 2 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. Go to Section 3 and enable “Apply Red Base To Base Margin”.
Step 10. Go to Section 4 and enable “Apply Blue Base To Base Margin”.
Step 11. Go to Section 2 and adjust “Minimum Base To Base Blue” and “Minimum Base To Base Red”. Observe the chart and note where the markers move relative to each other. Markers further apart will produce less trades but will reduce cutoffs in “Ping Pong” mode.
Step 12. Return to Section 3 and 4 and turn off “Base To Base Margin” which was enabled in steps 9 and 10.
Step 13. Turn off Show Markers in Section 2.
Step 14. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Percentage is not currently supported. This is a fixed value minimum profit and stop loss. Also note that the profit is taken as a conditional exit on a market order not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached. On the study version, the stop is executed at the close of the bar.
Step 15. Return to step 3 and select a Trading Mode (Long, Short, BiDir, Ping Pong). If you are planning to trade bidirectionally its best to configure long first then short. Combine them with “BiDir” or “Ping Pong” after setting up both sides of the trade individually. The difference between “BiDir” and “Ping Pong” is that “Ping Pong” uses position reversal and can cut off opposing trades less than the specified minimum profit. As a result “Ping Pong” mode produces the greatest number of trades.
Step 16. Take a look at the chart. Trades should be showing along the markers plotted earlier.
Step 17. Make adjustments to the Vertex fields in Section 2 until the TradingView performance report is showing a profit. This includes the “Minimum Base To Base” fields. If a profit cannot be achieved move on to Step 18.
Step 18. Improve the backtest profitability by adjusting the “Long Entry Net Change” and “Long Entry ROC” in Section 3.
Step 19. Improve the backtest profitability by adjusting the “Short Entry Net Change” and “Short Entry ROC” in Section 4.
Step 20. Improve the backtest profitability by adjusting the “Sparse Long Delta” in Section 3.
Step 21. Improve the backtest profitability by adjusting the “Chase Long Delta” in Section 3.
Step 22. Improve the backtest profitability by adjusting the “Long Adherence Delta” in Section 3. This field requires the “Adhere to Rising Trend” checkbox to be enabled.
Step 23. Try each checkbox in Section 3 and see if it improves the backtest profitability. The “Caution Lackluster Longs” checkbox only works when “Long Caution Mode” is enabled.
Step 24. Improve the backtest profitability by adjusting the “Sparse Short Delta” in Section 4.
Step 25. Improve the backtest profitability by adjusting the “Chase Short Delta” in Section 4.
Step 26. Improve the backtest profitability by adjusting the “Short Adherence Delta” in Section 4. This field requires the “Adhere to Falling Trend” checkbox to be enabled.
Step 27. Try each checkbox in Section 4 and see if it improves the backtest profitability. The “Caution Lackluster Shorts” checkbox only works when “Short Caution Mode” is enabled.
Step 28. Enable the reporting conditions in Section 5. 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 29. Examine the chart and see that trades are being placed in accordance with your desired trading goals. This is an important step. If your desired model requires multiple trades per day then you should be seeing hundreds of trades on the chart. Alternatively, you may be looking to trade fewer steep peaks and deep valleys in which case you should see trades at major turning points. Don’t simply settle for what the backtest serves you. Work your configuration until the system aligns with your desired model. Try changing indicators and even intervals if you cannot reach your simulation goals. Generally speaking, the histogram and Candle indicators produce the most trades. The Macro indicator captures the tallest peaks and valleys.
Step 30. 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.
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.
Bert LONG BTC Strategy - Profit 2018: 1319 % (without leverage)Bert LONG Term BTC Strategy (BITMEX)
This is a revolutionary strategy for bitcoin (XBT) trading. The strategy is perfectly configured for trading on the Bitmex exchange. No further configuration and setup is required.
The strategy itself recognizes a volatile period or whether the market is in downtrend, uptrend or sideways. Accordingly, it applies the appropriate orders to reach maximum profit.
The strategy can be handled manually, you can receive alerts (popup, email, sms) or can be fully automated by bot (works with: Autoview, Gunbot, Profitview, Jubot and others) without any manual intervention.
What is the minimum and maximum capital I can trade with?
You can trade with 0.0001BTC – 1000BTC. That is one of many advantages of using this strategy on XBT. There is enough liquidity to execute the order for the market price with a big investment amount.
What is the recommended setting?
Timeframe: 45m
Chart: Bitcoin/USD Dollar Perpetual Inverse Swap Contract (XBT)
Leverage: 2x
Orders: Long and Shorts
Why was this strategy created?
You have basically two option how to make money in crypto market. HODL (buy the coin and believe it will rise to the moon) and TRADING (only 3-5% traders are profitable, most of them are full time traders with 5+ years of experience in trading).
If you HODL btc in this year, you are -70 % this year
If you are TRADING, the results depend on how good you are (think about this, if you decide to be a heart surgeon, rocket star or NBA player, do you think you can be? Yes, you can but the chances are very small. The same probability you have that you will be in the 3-5% profitable traders 😊). It takes time, you need experience and still 96% all of you will never be a profitable traders!
If you use Bert BTC long term strategy, you are + 1319 % this year
How well the Bert BTC strategy performs?
Profit in 2018 was 1319 % / 13x (without leverage)
Profit in 2018 was 11 477 % / 115x (with leverage 2)
If you invested (with leverage 2) 1 000 USD you have now 114 766 USD
If you invested (with leverage 2) 10 000 USD you have now 1 147 660 USD
Detailed trades report for 2018 (you can calculate your own profit with specific investments and leverage) – download excel here
Notes:
You will hardly find better strategy on the market which achieves similar results with minimal risk and can operate in any market condition (downtrend, uptrend, sideways).
We guarantee the strategy does not repaint, and we use real candles (not heikin ashi or renko which does not reflect real prices).
We wish you to become financially independent and all your secret wishes to be fulfilled.
And in case if you still want to HODL or you want to be TRADING all the days watching to your monitors, consider to try our strategy at least with a minimum capital invested, you will see that you will not regret in long run. Be patient and the money will come to you!
For access to this strategy visit website: www.cryptobert.io
Support/Resistance Algo-Tradeing StrategyThis strategy Automates Support and resistance trading and a tight trailing stop loss technique. The support and resistance levels are calculated from previous highs and lows; these levels are used to make two types of trades:
1. Break out trades, taking a trade if the market is able to push through a support or resistance level.
2. Liquidity pool rejection, also known as a stop loss hunt. When the market is brought past a key level (to take out stop losses) which traders (usually institutions) use to enter, which then reverses back through the support/resistance level where the strategy enters a trade.
An optional "volatility filter" may be used when on a suitable market. This means that trades are only entered when there is suitable volatility.
A tight stop loss is kept so most trades lose, but winning trades are left to run much further. So this is a very reliable profitable strategy on many markets.
For a limited time I will provide access to this strategy for free as it is not yet complete, there is still testing to do and I would appreciate any feedback.
Scrybblez Strategy## Scrybblez Strategy ##
How does this strategy work?
This strategy works particularly well with Bitcoin and can be applied to volatile coins with big swings, but properly configured it will perform decently coins with smaller movements.
Request access for a trial here or by twitter to @scrybblez
It comes preconfigured with settings for 202 minutes, and already takes into account that each transaction will have a commission of 0.075% (Binance and Bitmex both have this comission at the moment) and assumes you'll be starting with a capital of 100,000 and put 100% of this capital into each trade. This works for Bitcoin but fails for some coins when there's not enough liquidity, to have the strategy work with smaller coins change your capital down from 100,000 to 1 or 5 (this will basically be telling Tradingview that you have 1-5 BTCs to trade and not 100,000 BTC).
What timeframes does it work on?
The strategy is particularly setup to work on 202 minutes but will perform well in 1h-6h timeframes.
To use it in different timeframes to its optimum output mainly focus on increasing/decreasing accordingly the following values:
- Bull/Bear EMA Range
- Upper StopLoss band
- Lower StopLoss band
Noise filters play a smaller (but important) role on avoiding too many false entries.
- Bull noise filter
- Bear noise filter
What are all these options I see ?
0.Shorting
Toggle this option on/off depending on if you are in a platform that allows you to short (Bitmex, Bitfinex,...) or a platform that does not allow you to do so (Binance, KuCoin,...).
1. Time function
This strategy comes equipped with a time function that allows you to backtest from any given date to any given date.
Properties:
- From Year
- From Month
- From Day
- To Year
- To Month
- To Day
2. Noise Filtering/Smoothing
To avoid too many false entries the strategy filters noise with several algorithms, you can enable/ disable this Noise filter by turning it on/off with "Use Smoothing" and can configure it's noise cleaning properties with other properties. You can, if you wish, colour your background to easily identify what's the current trend we're on (bear in mind that the indicator does not necessarily exit on Bull/Bear trends if it detects them as temporary or weak ones).
Properties:
- Use Smoothing
- Bull noise filter
- Bear noise filter
- Color Bull/Bear Runs
3. StopLoss Bands
Initially both bands were being used to terminate entries if crossed, but right now they work in conjunction with other internal calculations to determine if we should enter a trade and in minor degree to exit. With the latest changes included in the algorithm, we do not use SL bands to IMMEDIATELY exit positions, but the option is there.
Poperties:
- Upper SL Band
- Lower SL Band
- Use SL Bands to Open Positions.
- Use SL Bands to Close Positions.
4.Ichimoku
By turning this on, you'll plot Ichimoku with Bitcoin settings, you can change it to its original settings by clicking the next option.
Can you give me examples on how well it performs?
Following this strategy from the 1st of January of 2017 until today 7th of September of 2018 would've netted you (comission already substracted) 49286% returns.
Following this strategy from the 1st of September of 2017 until today 7th of September of 2018 would've netted you (comission already substracted) 3941% returns.
Following this strategy from the 1st of January of 2018 until today 7th of September of 2018would've netted you (comission already substracted) 583.96% returns.
Give time to the strategy
BTC MTF Directional average (1h/2h res)1h or 2h resolution
Any market without multiple weekly binary data events and enough liquidity (eg. Bitcoin)
**For bitcoin use preferably on bitfinex or an index of all exchanges and exchange volume. Most of the price manipulation occurs at bitfinex, other exchanges will often be slightly behind.
V 0.0.1
** KNOWN ISSUES
Around the time of the new daily candle (2AM GMT+1 on BTC) false signals may occur due to 24 hours being the highest resolution.
Repainting: due to the nature of tradingview's pinescript these false signals will disappear after 2-3 new candles and refreshing the page.
** UPDATES
Added browser alerts (untested)
Tip: Don't always wait for the bot to flip to risk off when volatility kicks in (eg. during wash trades).