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
Strategy
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
======
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
Highest High and Lowest Low Channel StrategyHighest / Highest High Highest (Data) - HHV (Data, Period)
Lowest / Lowest Low Lowest (Data) LLV (Data, Period)
These functions calculate the highest / lowest value of a selected data.
Highest High and Lowest Low options are mostly used.
The Highest function calculates the highest value of the selected data in the past.
The Lowest function calculates the lowest value of the selected data in the past.
EMA Slope Trend Follower StrategyThis strategy is based on the slope of the EMA130.
Over that slope, the script calculates two EMAs (9,21) which are used to generate the main entry and exit signal.
In particular, the strategy enters a LONG position when EMA9 > EMA21. On the contrary, it closes the LONG and opens a SHORT when EMA9 < EMA21.
When the slope of the EMA130 is rising, it means that the price is accelerating upwards, fueling an uptrend. Conversely, when the slope is falling, it means that the price is slowing down, falling into a possible downtrend.
Calculating and analyzing two EMAs (fast and slow) over the slope of a medium length EMA instead of the price anticipates a lot the signal. In this way, the strategy never miss a trend.
In order to minimize false positives (entering useless positions), I included two filters, which can be optionally turned on:
- Trend Filter: When the price is above EMA200, the strategy opens ONLY LONG positions. If price < EMA200, only shorts allowed. If the slope gives a long signal and price is below EMA200, for example, the eventual SHORT position is closed, but the LONG entry is postponed to the moment when both conditions (slope uptrending and price > ema200) are met.
I recommend always turning on this filter, as it dramatically decreases drawdown.
- Volatility Filter: When the standard deviation of the last 20 candles is below its 50 samples moving average, no positions are opened, as market is going sideways. The purpose of this filter is to prevent false positives (positions which open and close in a matter of candles due to false signals in sideways market).
I recommend turning on this filter only on low time frames.
This strategy works great on medium time frames (like 4h, 6h, daily), since it spends way less in fees, opening less positions.
It works good on low TFs too (up to 1h, didn't test lower ones), provided Volatility filter is turned on and parameters are set according to the asset.
Commission included in calculations: 0.06% (it's the taker commission on BitMEX with the 10% discount obtainable with any referral link)
Slippage included in calculations: 2 ticks (BitMEX has very liquid order books, and slippage doesn't happen very often unless a huge position size is used).
Hull Suite StrategyConverted the hull suite into a strategy script for easy backtesting and added ability to specify a time periods to backtest over.
RSI5_50 with DivergenceThis is variation of RSI Divergence strategy.
I have added a filter (long term RSI) to the Rules. strategy BUYs when RSI 50 period is above 50 line and there is divergence on the short term RSI
settings
=========
short term RSI period 5
long term RSI period 50
stopLoss is 8% --- if setting is enabled
BUY Rule
========
RSI 50 is above 50 line
short term RSI is showing divergence
Add to existing
==============
if already in position, BUY when shorTermRSI is crossing above 20
TakeProfit
=========
when longTermRSI reaches 60,65, 70 and 75 level , take partial profits .
(not when crossing down --- This may affect on profits , because when price goes down , it goes very fast )
Exit
=====
when longTermRSI is crossing down 30
OR stopLoss value hits
Note: When I tested this with GOOGL stock , I have got excellent results ... any experts there , please check everything is good with scripting ...
Happy Trading
RSI V Pattern strategyThis strategy based on RSI for swing trading or short term trading
Strategy Rules
=============
LONG
1. ema20 is above ema50 --- candles are colored green on the chart
2. RSI value sharply coming up
previous candle1 low is previous candle2 low and previous candle1 RSI value is less than previous candle2
current candle RSI value is greater than previous candle1 and crossing above 30
above which makes a V shape on RSI indicator, colored in yellow on the chart , price bar is colored in yellow
3. Enter Long when the above V pattern occurs
EXIT LONG
1. when the RSI reaches 70 , close half position and move stop loss to up
2. when RSI reaches high value 90, close 3/4 position
3. when RSI crossing below 10 OR stopLoss hit , whichever happens first , close whole position
Note : take profit levels are colored in blue on RSI and Price candles
I have tested SPY , QQQ on daily chart , performance results are with 80% win rate and more than 3 profit factor
Happy Trading
KD compare strategy (交易策略對照組)This is a base and easy trading strategy for comparing my other strategy.
The strategy consider K >= 80 is strong target in the last high period,
and consider K <=20 is the weak target in the last low period.
In the strong target, the strategy may increase long at the first day when K < 50, until 2/3 max order limitation or strong target become to weak.
In the weak target, the strategy may increase short at the first day when K > 50, until 2/3 max order limitation or strong target become to strong.
there are three orders for this strategy.
when the strong become to weak, it may use the remain 1/3 to save itself, and change the direction at the next k > 50
when the weak become to weak, it may use the remain 1/3 to save itself, and change the direction at the next k < 50
這是一個簡單的雙向交易策略,用來對照我其他的策略。
當 K>=80 它會認為目前是強勢股,偏多操作
當 K<=20 它會認為目前是強勢股,偏空操作
當標的為強勢股時,當第一次 K<50 會加碼多單,最多買進2/3的持股,直到轉弱
當標的為弱勢股時,當第一次 K>50 會加碼空單,最多買進2/3的持股,直到轉強
當強勢轉弱勢時,會使用剩下的1/3來拯救持股,在下次 k > 50 出清持股
當弱勢轉強勢時,會使用剩下的1/3來拯救持股,在下次 k < 50 出清持股
Ranged Volume Strategy - evoThis is the strategy version for the ranged volume indicator I published a few days ago.
Long : First yellow break-out after red
Short : First red break-out after yellow
Because this is volume, you want to be using this on an exchange with high volume for the best results. Default settings are not optimized but work great on bitcoins daily chart.
A short explanation of the indicator below:
Ichimoku Kinko Hyo: ETH 3h Strategy by tobunoIchimoku Kinko Hyo strategy for long term trend trades of Ethereum . Optimized for 3H ticks.
Super Z strategy - Thanks to Rafael Zioni//Original script
//https://www.tradingview.com/script/wYknDlLx-super-Z/
This is a test for verifying if this interesting study works well.
The author, thanks to him!!!, advise a possible repaint because the script uses security function.
Refer to tradingview.com for more info on repainting:
www.tradingview.com
QUOTE:
We can see repainting in the following cases:
1- Strategies using calc_on_every_tick=true. A strategy with parameter calc_on_every_tick = false may also be prone to repainting, but to a lesser degree.
(this is not the case, ndr).
2- Using security for requesting data from a resolution higher than the resolution of the chart’s main symbol (i.e. do not use ion weelky chart if you set 1440 (1Day) in inputs)
NOTE: Thanks again to Rafael Zioni. If he requires to delete this strategy, I'll do immediately.
Mean Reversion w/ Bollinger BandsThis is a more advanced version of my original mean reversion script.
It employs the famous Bollinger Bands.
This robot will buy when price falls below the lower Bollinger Band, and sell when price moves above the upper Bollinger Band.
I've only tested it on the S&P 500, though you could try it out on other assets to see the backtest performance.
During the recent COVID-19 bear market drop, it produced several buy signals on the S&P which I followed, and made some nice gains so far.
I still think this would make a better investing strategy (buy undervalued / sell over-valued), rather than a trading strategy.
I use this robot for my long term portfolio.
Strategy Follow Line MTF Any MM AverageThe objective is only to evaluate different configurations of the indicator "Follow Line MTF Any MM Average".
The strategy does not have position management, it's very basic, this indicator should be used to see trend, range zones, evaluate the best areas to enter the market, use higher time frames to confirm a direction can be useful.
I do not recommend using only this indicator to trade, because you can lose all your money if you do not know what you are doing.
I hope you find it useful.
Successes
[Daveatt] BEST ABCD Pattern Strategy (Trailing SL + TP)Hello traders
This is the strategy version of my ABCD pattern. I added the Trailing Stop and Trailing Profit upon a follower request
I - Concept
I present to you, ladies and gentlemen, the first screener for harmonic patterns .
Starting with an ACBD pattern screener this time!!
I used the calculations from Ricardo Santo's script
In short, he's using fractals (regular or Bill Williams ) for the pattern calculations. A masterpiece !!!
II - Definitions
The ABCD pattern ( AB=CD ) is one of the classic chart patterns which is repeated over and over again.
The ABCD pattern shows perfect harmony between price and time.
The Williams Fractal is an indicator, developed by Bill Williams , that aims to detect reversal points (highs and lows) and marks them with arrows.
Up fractals and down fractals have specific shapes. The Williams Fractal indicator helps users determine in which direction price will develop
💎Strategy filters💎
I included some cool backtest filters:
- Trailing stop with trigger concept coming from this Trailing Stop Strategy
- Trailing profit with trigger coming from this Trailing Profit Strategy
Last words
It works for all asset classes (Forex, crypto, indices, etc...) and does not repaint
All the BEST
Dave
eha Moving Averages StrategyMoving Average based strategies are very popular ones among both long-term investors and short-term traders as they can be tailored to any time frame. One of the main moving average strategies are crossovers. The very simple type is a price crossover , which is when the price crosses above or below a moving average to signal a potential change in trend.
Another strategy is to apply two moving averages to a chart: one longer (or slow) and one shorter (or fast). When the shorter-term MA crosses above the longer-term MA, it's a buy signal, as it indicates that the trend is shifting up (also known as “ Golden Cross ”). Meanwhile, when the shorter-term MA crosses below the longer-term MA, it's a sell signal, as it indicates that the trend is shifting down (which is also known as “ Dead/Death Cross ”).
This is a study to find a suitable trading strategy for 4-6 hour time frames. As you can see the performance is currently very poor. It has just generated almost 90 trades in a very long period from January 2017 to the time of publishing the study for the first time.
Moving averages work quite well in strong trending conditions but poorly in choppy or ranging conditions. Adjusting the time frame can correct this problem temporarily, although, at some point, these issues are likely to occur regardless of the time frame chosen for the moving average(s).
I am working on this basic strategy to make its performance better and I will update the post in the future. So keep in touch by following the post.
Why have I republished my study?
It sounds like TradingView stores and indexes scripts based on the title of the post rather than the actual title of the scripts and if one chose general terms as the title of the post, the TradingView script search engine may be unable to find it. So I decided to repost the strategy with a more searchable and unique prefix of " eha ".
Please provide me with your precious feedback.