Fixed Percent Stop Loss & Take Profit %===========
Fixed Percent Stop Loss & Take Profit %
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A neat example of how to set up Fixed Stops and Take Profit as a percent of the entry price.
Yup, that's about it!
You can ignore the actual entry/exit orders - they're based on a simple MA cross and are therefore NOT relevant, NOT really profitable and NOT recommended!
You should be using this code as a way of adding Stops and Takes to your own scripts - hope it helps!
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Good Luck and Happy Trading!
트렌드 어낼리시스
Derivative Based TrendsUses a combination of moving averages to establish trends, and finite-difference derivative approximations to predict possible reversals. Seems to work best on 1 hour charts of less volatile currency pairs.
MAs & RSI strategy long onlyThis system originates from many articles by Enrico Malverti, Trading System, 2015.
Many trading systems are more stable if you use simple and not so innovative indicators, like exponential moving averages and Relative Strengthe index.
Differently by the original article:
- there is no ATR Filter, but we have introduced a Schaff Indicator. If you have multiple shares/commodities to choose, prefer what has a better value of Schaff;
- there is no fixed stop loss but a second moving average (fast), used as target. There are also Simple Mov Averages on lows (trailing stop loss for long) and a SMA on highs (trailing stop loss for short position).
Be careful, in the system only long case, because being short is not the reverse of being long (as stated in my blog)
SMA on highs are therefore only graphically put.
In this version, I’ve changed the “religious” use of EMAs (“sponsored by” Alexander Elder) to “ordinary” MAs: this because since simple moving averages measure all the factor in addition egual each one, this involve a sort of “offset” in the graph, while EMAs give a major “importance” to the last value (last close itself, you’re already considering): therefore this calculation may be counterproductive.
HOW TO OPERATE
BUY when prices crosses over SMAon long period (we suggest, however, sma long = Sma fast period = no. 11 for italian and european shares)
SELL when
prices go under SMA on lows (7 period), or under on SMA fast!
RSI crosses under level 70 or is higher than 75 (or 80, but in code there is 75)
Moving average system which waits for a better entryWait for a better entry：
A simple way to improve the relevant conditions is to wait for a better price than the system signal. One obvious problem is that when prices give a new signal and move on, you don't have a chance to enter the market at a better price. Statistically, a lot of small improvements may offset the chance that the deal was completely missed. In order to avoid missing the worst case of maximum profit, if there is no trading opportunity within 5 days, we can enter into the market at the closing and if there is no opportunity, the deal will end on day 5.
Moving Average profit targets with var sizeProfit target:
Profit targets are those scenarios where the system expects to be greater than the actual return at the end of the transaction: they may be short-term benefits, such as a favorable price shock model.
In short-term transactions, profit objectives are essential. Price fluctuations make any favorable event likely to turn around in an instant. Moreover, profit objectives are more difficult to integrate into the longer-term trading system, because they are afraid of losing larger profits at risk, so they will replace them with smaller but more frequent gains. As a follower of the trend, once you make a profit and stop earning, but the trend direction is still intact, you need to find a way to re-enter the transaction to avoid losing the rare but very large market situation.
Profit target is best calculated based on price volatility (V), and the most commonly used method:
For Long, the system buy point (E), needs to be multiplied by the average true volatility or annualized volatility :E+f×V.
The net value multiplier f used to calculate the profit level is usually obtained through data mining.
MAMA (Ehlers) MESA Adaptive Moving AverageMAMA ( Ehlers ) MESA Adaptive Moving Average:
What it is and how it works
MESA Phasor is the most advanced futures trading program on the market!
MESA Phasor derives its name from the sinewave generator you probably recall from your high school trigonometry class. As you can see in the diagram, the rotating phasor generates a sine wave in the time domain, visualized as a shadow from the arrow tip of the phasor on the vertical axis. A cycle is completed on each full rotation of the phasor. The angle of the phasor increases at a constant rate, and is reset to zero when 360 degrees of rotation have been achieved. The idea of the trading system is to buy low at the valley of the sine wave , when phasor passes the lower angle, and to sell short at the crest of the sine wave , when the phasor passes the upper angle. Now the trade entries and exits are defined in terms of angles, which are in the frequency domain. Therefore, trading decisions are removed from waveform vagaries in the time domain. This means that the trading decisions are robust across various futures contracts and across all kinds of market conditions.
Underworld Hunter Backtesting AlgorhitmThis strategy is built to prove the profitability of my Underworld Hunter indicator . It tests two different strategies. I won't be going into the calculation again since it is part of the original script. I just made a few adjustments.
First one is clearly visual. It plots slimmer twin-coloured lines now and has a different colour for every extreme level. Second is less obvious - I switched Relative Strength Index for Commodity Channel Index.
Extreme levels are as follows: green 100 -► 120, yellow 120 -► 140, orange 140 -► 160, red 160 -► 180 and purple above 180, I will have a special separate algorithm for testing optimal CCI levels someday, in this script, these values are only meant to help you with manual operations and do not influence results of the strategy in any way.
#Trending strategy
The trending strategy opens a position whenever the price leaves the bands and holds it until two consecutive bars are closed within the bands. The picture shows one winning position that hasn't yet been resulted. It also shows a few fakeouts. For this strategy, you want to keep the length below 110, the deviation should be below 2 and you probably want to play lower timeframes.
#Within the bands
The second strategy is pretty much the opposite. It opens a position when the price reaches outer bands and holds it until two consecutive bars are closed within the bands and current bar closes below previous bars low in case of long. It is working on hourly timeframes and you need higher length and deviation to succeed. The picture shows a few positions on EURUSD. Each of them is profitable but would be much higher if you closed it manually when it was time. You need to enable this strategy, which automatically disables the other one.
When using my script, you need to bear in mind that the first strategy doesn't detect optimal levels to close the price. A trend is often followed by a less volatile and boring correction which causes bands to shrink and lower your profits if you don't close manually as it will take longer till bands are reached.
On the other hand, second script literally has no stop-loss. As long as the price is outside the range, it will never close which will cause major drawdowns, unless you control the trade manually. CCI is here to help you with both.
I also recommend combining this with Market Profile (on TW, there is only Volume Profile, which can be used in a similar way) and trading day theory (trending with multiple distributions, trending day, normal day, a variation on a normal day, non-trending day or neutral day). Always keep in mind that it is up to traders to be profitable, indicators can support a good trader, but they will not fix a bad one.
volume low standard deviation stystemOn the basis of moving average, add moving average and standard deviation line of volume to filter the entry and exit time.
Filter entries and/or exits based on low volume
options = 1, no not enter on low volume
options = 2, exit on low volume
options = 3, both 1 and 2
For others, please refer to the code and notes。
volume high standard deviation stystemOn the basis of moving average, add moving average and standard deviation line of volume to filter the entry and exit time.
Do not enter trades on high volume and price in trend direction.
Exit on high volume and price in profitable direction.
Option 0 = No entry or exit filter
Option 1 = Entry filter only
Option 2 = Exit filter only
Option 3 = Both entry and exit filters
Distance Oscillator Strategy- evoI described the indicator in the link below, this is a strategy version to test settings.
Combo Backtest 123 Reversal & Dynamic Pivot Point This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This Pivot points is calculated on the current day.
Pivot points simply took the high, low, and closing price from the previous period and
divided by 3 to find the pivot. From this pivot, traders would then base their
calculations for three support, and three resistance levels. The calculation for the most
basic flavor of pivot points, known as ‘floor-trader pivots’, along with their support and
resistance levels.
WARNING:
- For purpose educate only
- This script to change bars colors.
GMS: Mean Reversion StrategyThis is based on my GMS: Mean Reversion Indicator ()
Features:
- % Based Profit Target and Stop Loss
- SMA Trend Filter
- Can choose trade exit based off a moving average or linear regression curve
- Filter for long only trades, short only trades, or both at the same time.
Source code is open, so feel free to take a look!
I hope it helps,
Andre
DEMA Strategy with MACDThe Double Exponential Moving Average (DEMA) indicator was introduced in January 1994 by Patrick G. Mulloy, in an article in the "Technical Analysis of Stocks & Commodities" magazine: "Smoothing Data with Faster Moving Averages"
It attempts to remove the inherent lag associated to Moving Averages by placing more weight on recent values. The name suggests this is achieved by applying a double exponential smoothing which is not the case. The name double comes from the fact that the value of an EMA (Exponential Moving Average) is doubled. To keep it in line with the actual data and to remove the lag the value "EMA of EMA" is subtracted from the previously doubled ema.
DEMA is a very responsive system. A lot of signals can be generated only when trading with DEMA. In this strategy, I combined Dema buy-sell signals with MACD indicator. When you activate MACD confirmation from settings; When DEMA comes to long situation, the MACD histogram is checked to be positive.
Chaloke System StrategyChaloke System Strategy
This is a trend indicator
Atr and 3 moving averages are used
Short 9-day moving average,Medium 15-day moving average,Calculated with a long 24-day moving average.
Atr period : 5
Sht,Mid,Lng calculation method is different
Buying Strategy
long = crossover(Sht,Mid) and close > Sht
Selling Strategy
short = crossunder(Sht, Lng ) or close < Lng
Buy should be done when the barcolor turns green
Sell should be done when barcolor is red
When the barcolor is black, there may be change.
Trend Trader Strategy with MACDThis is plots the indicator developed by Andrew Abraham in the Trading the Trend article of TASC September 1998
The strategy I use has already been published explicitly by HPotter, you can review the core code from there.
I have converted the existing strategy codes that have been published into the strategy and the result looks great but I noticed that the indicator performed too much in short periods like 1 minute and I thought it would be healthier to get MACD approval. MACD approval will come selected by default. When the indicator reaches the buy status, if the macd histogram is positive, it enters the long process. By removing this confirmation from the settings window, you can see the normal signal frequency of the indicator.
This strategy is mainly based on trend signals. In fact, I am publishing this strategy to use in alternating trading for Bear-Bull crypto coins.
What does the bear-bull comparison mean?
You can open the same chart in the ETHBEAR / USDT symbol as opposed to the ETHBULL / USDT symbol that appears on the chart. When BUY signal comes in bull symbol, SELL will come in bear symbol. When BUY signal comes in bear symbol, SELL will come in bull symbol. In this way, very fast and very high profit can be obtained by alternating operation.
Combo Backtest 123 Reversal & Dynamic Momentum Index This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum
Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator
is covered in detail in their book The New Technical Trader.
The DMI is identical to Welles Wilder`s Relative Strength Index except the
number of periods is variable rather than fixed. The variability of the time
periods used in the DMI is controlled by the recent volatility of prices.
The more volatile the prices, the more sensitive the DMI is to price changes.
In other words, the DMI will use more time periods during quiet markets, and
less during active markets. The maximum time periods the DMI can reach is 30
and the minimum is 3. This calculation method is similar to the Variable
Moving Average, also developed by Tushar Chande.
The advantage of using a variable length time period when calculating the RSI
is that it overcomes the negative effects of smoothing, which often obscure short-term moves.
The volatility index used in controlling the time periods in the DMI is based
on a calculation using a five period standard deviation and a ten period average
of the standard deviation.
WARNING:
- For purpose educate only
- This script to change bars colors.
