Super Guppy StrategyCM Super Guppy with Long/Short signals, backtesting, and additional options. Updated for PineScript v4.
COINBASE:BTCUSD
Features 2 primary modes, depending on your risk profile. These options are available in the settings:
"Early Signals" ON (default):
Prints a "long" on grey to green transitions AND red to gray transitions.
Prints a "short" on green to grey transitions AND gray to red transitions.
Will not print back-to-back repeated positions (i.e. green → grey → red will only print the first green → gray "short" signal and not print "short" twice).
Rotates long and short positions with no delay.
"Early Signals" OFF
Will close trades, but never open new ones, when guppy transitions to from any color to gray.
Open long: guppy transitions gray to green.
Close long: guppy transitions green to gray.
Open short: guppy transitions gray to red.
Close short: guppy transitions red to gray.
Does not rotate long and short positions back to back.
Additionally:
Can toggle on/off the 200EMA. Default is off.
Can toggle on/off short positions. Default is on.
In development: alerts
Strategy
Reversal closing priceThe reversal closing price (RCP) is a candlestick pattern which follows two simples rules:
the low price of current candle needs to be lower than the low price of the last 2 candles
the closing price of current candle needes to be higher than the closing price of the last candle
This generates a signal for a long position. For a short position, the conditions are inverted:
the high price of current candle needs to be higher than the high price of the last 2 candles
the closing price of current candle needes to be lower than the closing price of the last candle
Since RCP is a trend follower indicator, the strategy is programmed in such a way that long positions are only placed if the short period EMA is above the long period EMA, and short positions are only placed if the short EMA is bellow the long EMA. Both periods are configurable, and should be ajusted for each asset.
This strategy uses a fixed stop loss and take profit, and the it's ratio is configurable. The stop price is one tick lower than the lowest price of X candles prior to the order execution for long positions, while in short positions it's one tick higher than the higher price. The amount of candles to lookback (X) is configurable. Both stop and take profit prices are displayed, the first as a red line, and the second as a green line.
This is the setting that I've found to work best with TVC:SPX , but you may find a better setting. While the RCP is universal, it's placement depends on the trend and it's strenght, something that is very heterogeneous among assets.
I really wish that I was able to place images, but I don't have PRO, so text will have to do.
This strategy was designed by Alexandre Wolwacz, a.k.a. Stormer.
The Strategy - Ichimoku Kinko Hyo and moreThe purpose of this strategy is to make the signals from my scripts available for verification by backtests. Different signal and filter combinations can be created and specific manual parameter optimization can be carried out.
In detail, this strategy includes:
23 entry signals
two entry filters with each 9 filters
two exit filters with each 9 filters
take profit and stop loss
time period for backtesting
STRATEGY TESTER ENGINE - ON CHART DISPLAY - PLUG & PLAYSo i had this idea while ago when @alexgrover published a script and dropped a nugget in between which replicates the result of strategy tester on chart as an indicator.
So it seemed fair to use one of his strategy to display the results.
This strategy tester can now be used in replay mode like an indicator and you can see what happen at a particular section of the chart which was is not possible in default strategy tester results of TV.
Please read how each result is calculated so you will know what you are using.
This engine shows most common results of strategy tester in a single screen, which are as follows:
1. Starting Capital
2. Current Profit Percentage
3. Max Profit Percentage
4. Gross Profit
5. Gross Loss
6. Total Closed Trades
7. Total Trades Won
8. Total Trades Lost
9. Percentage Profitable
10. Profit Factor
11. Current Drawdown
12. Max Drawdown
13. Liquidation
So elaborating on what is what:
1. Starting Capital - This stays 0, which signifies your starting balance as 0%. It is set to 0 so we can compare all other results without any change in variables. If set to 100, then all the results will be increased by 100. Some users might find it useful to set it to 100, then they can change code on line 41 from to and it should show starting balance as 100%.
2. Current Profit Percentage - This shows your current profit adjusted to current price of the candle, not like TV which shows after candle is close. There is a comment on the line 38 which can be removed and your can see unrealized profit as well in this section. Please note that this will affect Draw-down calculations later in this section.
3. Max Profit Percentage - This will show you your max profit achieved during your strategy run, which was not possible yet to see via strategy tester. So, now you can see how much profit was achieved by your strategy during the run and you can compare it with chart to see what happens during bull-run or bear-run, so you can further optimize your strategy to best suit your desired results.
4. Gross Profit - This is total percentage of profit your strategy achieved during entire run as if you never had any losses.
5. Gross Loss - This is total percentage of loss your strategy achieved during entire run as if you never had any profits.
6. Total Closed Trades - This is total number of trades that your strategy has executed so far.
7. Total Trades Won - This is the total number of trades that your strategy has executed that resulted in positive increase in equity.
8. Totals Trades Lost - This is the total number of trades that your strategy has executed that resulted in decrease in equity.
9. Percentage Profitable - This is the ratio between your current total winning trades divided by total closed trades, and finally multiplied by 100 to get percentage results.
10. Profit Factor - This is the ratio between Gross Profit and Gross Loss, so if profit factor is 2, then it indicates that you are set to gain 2 times per your risk per trade on average when total trades are executed.
11. Current Drawdown - This is important section and i want you to read this carefully. Here draw-down is calculated very differently than what TV shows. TV has access to candle data and calculates draw-down accordingly as per number of trades closed, but here DD is calculated as difference between max profit achieved and current profit. This way you can see how much percentage you are down from max peak of equity at current point in time. You can do back-test of the data and see when peak was achieved and how much your strategy did a draw-down candle by candle.
12. Max Drawdown - This is also calculated differently same as above, current draw-down. Here you can see how much max DD your strategy did from a peak profit of equity. This is not set as max profit percentage is set because you will see single number on display, while idea is to keep it custom. I will explain.
So lets say, your max DD on TV is 30%. Here this is of no use to see Max DD , as some people might want to see what was there max DD 1000 candles back or 10 candle back. So this will show you your max DD from the data you select. TV shows 25000 candle data in a chart if you go back, you can set the counter to 24999 and it will show you max DD as shown on TV, but if you want custom section to show max DD , it is now possible which was not possible before.
Also, now let's say you put DD as 24999 and open a chart of an asset that was listed 1 week ago, now on 1H chart max DD will never show up until you reach 24999 candle in data history, but with this you can now enter a manual number and see the data.
13. Liquidation - This is an interesting feature, so now when your equity balance is less than 0 and your draw-down goes to -100, it will show you where and at what point in time you got liquidated by adding a red background color in the entire section. This is the most fun part of this script, while you can only see max DD on TV.
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How to Use -
1 word, plug and play. Yes. Actual codes start from line 33.
select overlay=false or remove it from the title in your strategy on first line,
Just copy the codes from line 33 to 103,
then go to end section of your strategy and paste the entire code from line 33 to line 103,
see if you have any duplicate variable, edit it,
Add to chart.
What you see above is very contracted view. Here is how it looks when zoomed in.
imgur.com
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Feel free to edit and share and use. If you use it in your scripts, drop me tag. Cheers.
ATR Trailing Stop Strategy by ceyhunSame coding only coloring and strategy version added
//Barcolor
Green = Trail1 > Trail2 and close > Trail2 and low > Trail2
Blue = Trail1 > Trail2 and close > Trail2 and low < Trail2
Red = Trail2 > Trail1 and close < Trail2 and high < Trail2
Yellow = Trail2 > Trail1 and close < Trail2 and high > Trail2
//It gives White color where there is deterioration.
Let's not use InfoPanel in strategy, it would be wrong as it signals the next day.
ATR Trailing Stoploss StrategyI am sharing the strategy version of the indicator used before. It is very simple to use.
These are the settings I use, you can change, test and use as you wish.
Atr Period 5
Highest High Period 10
Multiplier 2.5
It can generate more signals in shorter time frames.
The success rate will be higher in longer time frames.
The Lazy Trader - Index (ETF) Trend Following Robot50/150 moving average, index (ETF) trend following robot. Coded for people who cannot psychologically handle dollar-cost-averaging through bear markets and extreme drawdowns (although DCA can produce better results eventually), this robot helps you to avoid bear markets. Be a fair-weathered friend of Mr Market, and only take up his offer when the sun is shining! Designed for the lazy trader who really doesn't care...
Recommended Chart Settings:
Asset Class: ETF
Time Frame: Daily
Necessary ETF Macro Conditions:
a) Country must have healthy demographics, good ratio of young > old
b) Country population must be increasing
c) Country must be experiencing price-inflation
Default Robot Settings:
Slow Moving Average: 50 (integer) //adjust to suit your underlying index
Fast Moving Average: 150 (integer) //adjust to suit your underlying index
Bullish Slope Angle: 5 (degrees) //up angle of moving averages
Bearish Slope Angle: -5 (degrees) //down angle of moving averages
Average True Range: 14 (integer) //input for slope-angle formula
Risk: 100 (%) //100% risk means using all equity per trade
ETF Test Results (Default Settings):
SPY (1993 to 2020, 27 years), 332% profit, 20 trades, 6.4 profit factor, 7% drawdown
EWG (1996 to 2020, 24 years), 310% profit, 18 trades, 3.7 profit factor, 10% drawdown
EWH (1996 to 2020, 24 years), 4% loss, 26 trades, 0.9 profit factor, 36% drawdown
QQQ (1999 to 2020, 21 years), 232% profit, 17 trades, 3.6 profit factor, 2% drawdown
EEM (2003 to 2020, 17 years), 73% profit, 17 trades, 1.1 profit factor, 3% drawdown
GXC (2007 to 2020, 13 years), 18% profit, 14 trades, 1.3 profit factor, 26% drawdown
BKF (2009 to 2020, 11 years), 11% profit, 13 trades, 1.2 profit factor, 33% drawdown
A longer time in the markets is better, with the exception of EWH. 6 out of 7 tested ETFs were profitable, feel free to test on your favourite ETF (default settings) and comment below.
Risk Warning:
Not tested on commodities nor other financial products like currencies (code will not work), feel free to leave comments below.
Moving Average Slope Angle Formula:
Reproduced and modified from source:
Tilson T3 and MavilimW Triple Combined StrategyInspired by truly greatful Kivanç Ozbilgic (www.tradingview.com).
The strategy tries to combined three different moving average strategies into one.
Strategies covered are:
1. Tillson T3 Moving Average Strategy
Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well. However, it bears the disadvantage of overshooting the price as it attempts to realign itself to current market conditions.
It incorporates a smoothing technique which allows it to plot curves more gradual than ordinary moving averages and with a smaller lag. Its smoothness is derived from the fact that it is a weighted sum of a single EMA, double EMA, triple EMA and so on. When a trend is formed, the price action will stay above or below the trend during most of its progression and will hardly be touched by any swings. Thus, a confirmed penetration of the T3 MA and the lack of a following reversal often indicates the end of a trend. Here is what the calculation looks like:
T3 = c1*e6 + c2*e5 + c3*e4 + c4*e3, where:
– e1 = EMA (Close, Period)
– e2 = EMA (e1, Period)
– e3 = EMA (e2, Period)
– e4 = EMA (e3, Period)
– e5 = EMA (e4, Period)
– e6 = EMA (e5, Period)
– a is the volume factor, default value is 0.7 but 0.618 can also be used
– c1 = – a^3
– c2 = 3*a^2 + 3*a^3
– c3 = – 6*a^2 – 3*a – 3*a^3
– c4 = 1 + 3*a + a^3 + 3*a^2
T3 MovingThe T3 Moving Average generally produces entry signals similar to other moving averages and thus is traded largely in the same manner.
Strategy for Tillson T3 is if the close crossovers T3 line and for at least five bars the close was under the T3
2. Tillson T3 Fibonacci Cross
Kivanc Ozbilgic added a second T3 line with a volume factor of 0.618 (Fibonacci Ratio) and length of 3 (fibonacci number) which can be added by selecting the T3 Fibonacci Strategy input box.
Strategy for Tillson T3 Fibo is when the Fibo Line crossover the T3 it gives long signal vice versa.
3. MavilimW
MavilimW is originally a support and resistance indicator based on fibonacci injected weighted moving averages.
Strategy for MavilimW is is if the close crossovers T3 line and for at least five bars the close was under the T3
Hope you enjoy
365 Day High Breakout StrategySCRIPT NOTES
- Strategy consists of 3 parameters :-
1. BUY on 365 day breakout (250 days taken in back-testing instead of 365 days considering weekends and other holidays in a year)
2. Moving averages (Noise Filtering condition )
3. RELATIVE STRENTH indicator (Original Author - tradingview.com ) (Noise Filtering condition )
- Strategy works better on low volatile stocks.
- This strategy is for self improvement and concept sharing purpose only.
- Trading (including profit/loss) using this strategy is completely user's responsibility.
Random entry pointsIt is profitable strategy with random entry points.
A simple strategy involving random opening of trades. But such a strategy on large samples will demonstrate profit. Because the strategy adheres to the golden rule of trading: "Let profits rise and quickly stop losses."
Remember, exit points are very important. Many traders make the mistake of focusing all their attention on entry points.
Bollinger Bands Breakout StrategyBollinger Bands Breakout Strategy is the strategy version of Bollinger Bands Filter study version, which can be found under my scripts page. The strategy goes long when price closes above the upper band and goes short signal when price closes below the lower band.
Bollinger Bands is a classic indicator that uses a simple moving average of 20 periods, along with plots of upper and lower bands that are 2 standard deviations away from the basis line. These bands help visualize price volatility and trend based on where the price is, in relation to the bands.
The strategy doesn't take into account any other parameters such as Volume / RSI / Fundamentals etc, so user must use discretion based on confirmations from another indicator or based on fundamentals. The strategy results are based on purely long and short trades and doesn't take into account any user defined targets or stop losses.
The strategy works great when the price closes above/below upper/lower bands with continuation on next bar. It is definitely useful to have this strategy or the Bollinger Bands filter along with other indicators to get early glimpse of breach/fail of bands on candle close during BB squeeze or based on volatility .
This can be used on Heikin Ashi candles for spotting trends, but HA candles are not recommended for trade entries as they don't reflect true price of the asset.
The strategy settings default is 55 SMA and 1 standard deviation for Bollinger Bands filter, but these can be changed from settings.
It is definitely worth reading the 22 rules of Bollinger Bands written by John Bollinger if interested in trading Bollinger Bands successfully.
Grid System With Fake MartingaleThe proposed strategy is based on a grid system with a money management that tries to replicate the effect of a martingale without having to double your position size after each loss, hence the name "fake martingale". Note that a balance using this strategy is still subject to exponential decay, the risk is not minimized, as such, it would be dangerous to use this strategy.
For more information on the martingale and grid systems see:
Strategy Settings
Point determines the "grid" size and should be adjusted accordingly to the scale of the security you are applying the strategy to. Higher value would require larger price movements in order to trigger a trade, generating fewer trades as a result.
The order size determines the number of contracts/shares to purchase.
The martingale multiplier determines the factor by which the position size is multiplied after a loss, using values higher to 2 will "squarify" your balance, while a value of 1 would use a constant position sizing.
Finally, the anti-martingale parameter determines whether the strategy uses a reverse martingale or not, if set to true then the position size is multiplied after each win.
How It Works
Let's illustrate how we replicate a martingale without doubling our exposure with a simple casino example. Imagine you are playing roulette, and that you are betting on colors (black/red), your payout is 1 to 1, in the case you win, you will have your initial stake back plus a profit equal to your initial stake.
If your strategy is to recover any previous losses, you can double your stake each time you lose, once you win you will get back the previous losses plus a profit equal to your original stake, this is the martingale system. So how can we win back previous losses without having to double our stake? We could do that by doubling the payout ratio after a loss, so after a loss, we must use a payout ratio of 2:1, if we lose once again we must use a payout of 4:1...etc, our payout ratio would be subject to exponential growth instead of our stake.
Of course, the payout ratio is fixed with casino games, but in trading, we can manipulate the position of our take profit in order to replicate such effect, this is what this strategy is doing. So after a loss, we place our take profit such that a win recover our losses back plus generate a profit.
Advantages
The advantage of this approach is that unlike the martingale we don't double our position size, which instead can remain constant, this is a huge advantage as a martingale will require a significant capital in order to tank a series of losses.
Disadvantages
The main disadvantage of this method is that the price might never reach our take profit after a long losing streak, our balance would remain in the red and we couldn't do anything about it except reset the strategy.
Frictional costs are still a disadvantage, as such, we would need to place our take profits in order to account for them, while this is still better than purchasing additional shares, it minimizes the chances of the price reaching the take profit.
Conclusions
An alternative money management system replicating the effect of a martingale as been presented, we can see that such a system is far from being perfect, and it would be foolish to use it, however, it stills offer a convenient alternative to less aggressive progressive position sizing systems.
I have been receiving some messages from users criticizing me for exposing the martingale money management system, and I understand why but I can't agree, talking about it allow me to warn users against it, the grid-martingale methodology is will create more harm than anything else, the reward is only one side of the story and should always be compared against the risk, so always take a look at all the statics in a backtest.
Thanks for reading!
Shout-Out
This post was made possible thanks to my patrons:
@Happymono, @AmariMars, @kkhaial, @Nugehe, @LucF, @Nosmok, @iflostio, @DankBeans, @ecletv, @Neverstorm, @alex.crown.jr, @uk503, @xkingshotss, @vsov, @jbelka, @yatrader2, @hughza, @ganh
simple but effectiveA new strategy to 'play' with witch uses three moving average lines with user defined length.
default settings are
Enter long when ma(3) (source = high) crosses ma(9) (source = open)
Enter short when ma(3) (source = low) crosses ma(9) (source = open)
Enjoy:)
hullma percentage linesWhat you see is a hullMA (user defined length) with 4 percentage bands attached to it.
The bands percentage and hullMA length can be adjusted to see how the trading strategy performs.
I implemented only long trades with a crossover from one of the lower bands, when it crosses over a high band
it exits the trade.
Improvement coulde be:
-more percentage bands
-short trades
-trades between bands
Enjoy:)
Best strategy for TradingView (fake)Hello everyone! I want to show you this strategy so you don't fall for the tricks of scammers. On TradingView, you can write an algorithm (probably more than one) that will show any profit you want: from 1% to 100,000% in one year (maybe more)! This can be done, for example, using the built-in linebreak () function and several conditions for opening long and short.
I am sure that sometimes scammers show up on TradingView showing their incredible strategies. Will a smart person sell a profitable quick strategy? When a lot of people start using the quick strategy, it stops working. Therefore, no smart person would sell you a quick strategy. It is acceptable to sell slow strategies: several transactions per month - this does not greatly affect the market.
So, don't fall for the tricks of scammers, write quick strategies yourself.
About this strategy, I can say that the linebreak () function does not work correctly in it. Accordingly, the lines are not drawn correctly on the chart. They are drawn in such a way as to show the maximum profit. I watched this algorithm on a 1m timeframe - no lines are drawn in real time. This is a fake!
Grid Like StrategyIt is possible to use progressive position sizing in order to recover from past losses, a well-known position sizing system being the "martingale", which consists of doubling your position size after a loss, this allows you to recover any previous losses in a losing streak + winning an extra. This system has seen a lot of attention from the trading community (mostly from beginners), and many strategies have been designed around the martingale, one of them being "grid trading strategies".
While such strategies often shows promising results on paper, they are often subjects to many frictions during live trading that makes them totally unusable and dangerous to the trader. The motivations behind posting such a strategy isn't to glorify such systems, but rather to present the problems behind them, many users come to me with their ideas and glorious ways to make money, sometimes they present strategies using the martingale, and it is important to present the flaws of this methodology rather than blindly saying "you shouldn't use it".
Strategy Settings
Point determines the "grid" size and should be adjusted accordingly to the scale of the symbol you are applying the strategy to. Higher value would require larger price movements in order to trigger a trade, as such higher values will generate fewer trades.
The order size determines the number of contracts/shares to purchase.
The martingale multiplier determines the factor by which the position size is multiplied after a loss, using values higher to 2 will "squarify" your balance, while a value of 1 would use a constant position sizing.
Finally, the anti-martingale parameter determines whether the strategy uses a reverse martingale or not, if set to true then the position size is multiplied after any wins.
The Grid
Grid strategies are commons and do not present huge problems until we use certain position sizing methods such as the martingale. A martingale is extremely sensitive to any kind of friction (frictional costs, slippage...etc), the grid strategy aims to provide a stable and simple environment where a martingale might possibly behave well.
The goal of a simple grid strategy is to go long once the price crossover a certain level, a take profit is set at the level above the current one and stop loss is placed at the level below the current one, in a winning scenario the price reach the take profit, the position is closed and a new one is opened with the same setup. In a losing scenario, the price reaches the stop loss level, the position is closed and a short one is opened, the take profit is set at the level below the current one, and a stop loss is set at the level above the current one. Note that all levels are equally spaced.
It follows from this strategy that wins and losses should be constant over time, as such our balance would evolve in a linear fashion. This is a great setup for a martingale, as we are theoretically assured to recover all the looses in a losing streak.
Martingale - Exponential Decays - Risk/Reward
By using a martingale we double our position size (exposure) each time we lose a trade, if we look at our balance when using a martingale we see significant drawdowns, with our balance peaking down significantly. The martingale sequence is subject to exponential growth, as such using a martingale makes our balance exposed to exponential decays, that's really bad, we could basically lose all the initially invested capital in a short amount of time, it follows from this that the theoretical success of a martingale is determined by what is the maximum losing streak you can endure
Now consider how a martingale affects our risk-reward ratio, assuming unity position sizing our martingale sequence can be described by 2^(x-1) , using this formula we would get the amount of shares/contracts we need to purchase at the x trade of a losing streak, we would need to purchase 256 contracts in order to recover from a losing streak of size 9, this is enormous when you take into account that your wins are way smaller, the risk-reward ratio is totally unfair.
Of course, some users might think that a losing streak of size 9 is pretty unlikely, if the probability of winning and losing are both equal to 0.5, then the probability of 9 consecutive losses is equal to 0.5^9 , there are approximately 0.2% of chance of having such large losing streak, note however that under a ranging market such case scenario could happen, but we will see later that the length of a losing streak is not the only problem.
Other Problems
Having a capital large enough to tank 9any number of consecutive losses is not the only thing one should focus on, as we have to take into account market prices and trading dynamics, that's where the ugly part start.
Our first problem is frictional costs, one example being the spread, but this is a common problem for any strategy, however here a martingale is extra sensitive to it, if the strategy does not account for it then we will still double our positions costs but we might not recover all the losses of a losing streak, instead we would be recovering only a proportion of it, under such scenario you would be certain to lose over time.
Another problem are gaps, market price might open under a stop-loss without triggering it, and this is a big no-no.
Equity of the strategy on AMD, in a desired scenario the equity at the second arrow should have been at a higher position than the equity at the first arrow.
In order for the strategy to be more effective, we would need to trade a market that does not close, such as the cryptocurrency market. Finally, we might be affected by slippage, altho only extreme values might drastically affect our balance.
The Anti Martingale
The strategy lets you use an anti-martingale, which double the position size after a win instead of a loss, the goal here is not to recover from a losing strike but instead to profit from a potential winning streak.
Here we are exposing your balance to exponential gross but you might also lose a trade at the end a winning streak, you will generally want to reinitialize your position size after a few wins instead of waiting for the end of a streak.
Alternative
You can use other-kind of progressions for position sizing, such as a linear one, increasing your position size by a constant number each time you lose. More gentle progressions will recover a proportion of your losses in a losing streak.
You can also simulate the effect of a martingale without doubling your position size by doubling your target profit, if for example you have a 10$ profit-target/stop-loss and lose a trade, you can use a 20$ profit target to recover from the lost trade + gain a profit of 10$. While this approach does not introduce exponential decay in your balance, you are betting on the market reaching your take profits, considering the fact that you are doubling their size you are expecting market volatility to increase drastically over time, as such this approach would not be extremely effective for high losing streak.
Conclusion
You will see a lot of auto-trading strategies that are based on a grid approach, they might even use a martingale. While the backtests will look appealing, you should think twice before using such kind of strategy, remember that frictional costs will be a huge challenge for the strategy, and that it assumes that the trader has an important initial capital. We have also seen that the risk/reward ratio is theoretically the worst you can have on a strategy, having a low reward and a high risk. This does not mean that progressive position sizing is bad, but it should not be pushed to the extreme.
It is nice to note that the martingale is originally a betting system designed for casino games, which unlike trading are not subject to frictional costs, but even casino players don't use it, so why would you?
Thx for reading
Double Exponential Moving Average 8-20-63 StrategyHello, this script was made upon the request of aliergin63, one of my followers.
I do not know exactly from whom it is quoted. (It may be author HighProfit.)
Long position when 8 dema is over 20 dema and 63 dema,
it opens a short position for the vice versa.
Alarms have been added.
%0.1 comission added.
Regards.
Note : DEMA = Double Exponential Moving Average
EMA Crossover StrategyEMA Crossover Strategy
This strategy will enter a long trade when the 21 EMA crosses over the 55 EMA and both EMAs and the close price are above the 200 EMA (long-term trend).
It will enter a short trade when the 21 EMA crosses under the 55 EMA and both EMAs and the close price are below the 200 EMA.
It will exit a long trade when the RSI crosses under from overbought and indicates that the uptrend could be coming to an end.
It will exit a short trade when the RSI crosses over from oversold and indicates that the downtrend could be coming to an end.
Backtesting shows that it works best on:
30 MIN:
SYMBOL - PROFIT FACTOR
AUDCAD - 1.126
EURJPY - 1.12
EURNZD - 1.04
EURUSD - 1.65
GBPAUD - 1.27
USDCAD - 1.08
1 HR:
SYMBOL - PROFIT FACTOR
CADJPY- 1.23
EURNZD- 1.166
GBPJPY- 1.23
GBPUSD- 1.282
NZDJPY- 1.246
USDCHF- 1.344
3 HR:
SYMBOL - PROFIT FACTOR
CADCHF- 1.975
EURGBP- 1.776
EURNZD- 1.911
GBPAUD- 1.364
GBPCHF- 1.311
USDJPY- 1.162
XAUUSD - 2.00
As always, this strategy does not guarantee you to achieve profits and you should always use confirmations before entering a trade.
Ichimoku Kinko Hyo StrategyStrategy based on the Ishimoku Kinko Hyo system, using the different indicators it provides to build signals.
This strategy could be better as it should ideally use the position of the price line compared to Chikou to determine if signals should be looked for, but I've been unable to fully implement this so far (an imperfect implementation is provided, but disable by default). I'll update the script once I figure it out, but it still gives good results without this.
EMA Slope Cross Trend Follower StrategyThis strategy uses the cross of the slopes of two EMAs having different lengths to generate trend follower signals. By default, I use 130 and 400, which behave very well.
The conditions which make the strat enter the market are:
- Fast Slope > Slow Slope and price > EMA 200 : go Long
- Fast Slope < Slow Slope and price < EMA200 : go Short
The simple slopes cross in the opposite direction, closes the position.
The strategy performs best on Bitcoin and the most liquid and capitalized Altcoins, but works greatly on volatile assets as well, in particular if they often go trending.
Works best on 4h time frame.
There's also an optional Volatility filter, which opens the position only if the difference between the two slopes is more than a specific value, which can be set in the strategy inputs. The purpose is not opening positions if price is going sideways and the noise is way > than the signal.
Enjoy it!
Combination Parabolic MA/IIR/ALMA Strategy, with other goodiesOkay, so this is a lot. It started mostly with me combining indicators and looking for ideal entry criteria.
It is also a collection of conditions, whether used or unused, for my current chosen "best" strategy. It is currently set how I like it, but it has changed with time, and will continue to do so. Within, there are variables that are unused, but offer some insight into the overall odds of a trade. They were, in fact, once used but fell out of favor. And all details for this strategy are within the comment header of the script.
As this evolves, I most certainly wont keep any future findings and hope for profit from my peers (yinz). Also, I'd like to give a sincere thanks to the people of TV for what I learned in a few month's time and their flexible membership plans. Basically, I'm just a mad scientist, but this monster's a masterpiece and folks here before me made many indirect contributions to it.
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Okay guys, lastly and most importantly,
Each smack of the like button is a vote of your confidence in me, to my beautiful landladies, Celeste and Adele, that my rent will be caught up and that it won't always be a problem. Which, in my mind, makes me a graph. And they've got strong hands and don't sell the low. I more than respect that. Seriously. And I'm very grateful for their willingness to work with me, but the thing is that I didn't ask first; life just happens. But few are tolerant of others. And quite importantly, I truly believe that I will be successful one day, and that "thumbs-up" button is your vote of confidence. If you're not sure, then don't hit it yet. Maybe my scripts will boost your confidence in me :)
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PS: And you know what? I'ma give a shout-out to Philakone for teaching me everything that I know about Elliot Wave . Absolutely. Two years ago, I would keep telling myself that one day I will put something in his gratuity wallet or pursue the paid courses. And, I still plan on it, because I'm grateful. And so also, to everybody else, I'm recommending him to learn from. because as a trader who might not know everything for free, you can certainly fill in the gaps with his altruistic offerings. And I'm betting that you will then feel more than inclined to buy the Udemy course.
"If wave 2 retraces a lot; number 4 will not". Repetition. Philakone didn't fix my memory but he sure did find a workaround, haha
Okay, everyone, Thanks!
RSI W Pattern strategyThis strategy is similar to RSI V pattern strategy, but it looks for W pattern in RSI chart.
RULES
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BUY
1. ema20 is above ema50
2. RSI5 crossing up 30 from oversold area
3. and RSI5 must be below overbought area (default value set to 65)
Add to existing Position
1. You can add on the next W pattern OR
2. if RSI5 is crossing up from below 20
Exit
1. when RSI5 reaches 75
Note: This is for short term/swing trading . which gets on when price dip in trending and quickly gets you out on RSI overbought area
TSI CCI Hull with profit$$$This is a modified version of @SeaSide420 TSI CCI Hull with profits exit on long and short order
ORIGINAL SCRIPT:
/// /// feel free to edit/improve and comment