Strategy Follow Line Indicator The objective is only to evaluate different configurations, 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
무빙 애버리지
STRAT_STEMWAPHere is the update to the stem matcs strategy.
Here are the additions to the strategy.
1. VWAP tuning
2. Stop Loss adjusting fields now act more appropriate in relation to the super trend values.
3. Split out the volume checks to individual values for short and long
4. A max loss setting. This needs to be adjusted to which security and position size you are trading.
If you are using this on short time frames I suggest that you tweak your settings often.
BEST ATR Stop Multiple StrategyHello traders
Here we go again.... with another strategy snippet.
Reminder: it's an alternative of this Trailing Stop strategy script
Entry logic
The entry is based on a Simple Moving Averages (SMA) cross.
This part doesn't matter here - as I wanted to focus on the ATR multiple stop loss component.
ATR STOP
This strategy snippet uses an entry stop loss defined based on a multiple of the average true range value.
The soure code detects ATR value at entry price, applies the multiplier and will set a static (= non trailing) stop-loss to each position
A pinescript v4 label will appear for each new signal displaying the ATR*multiplier value at signal time
All the BEST
Dave
EMA Strategy v_1 by.JanS.This Strategy use in 1 hour and daily graph.
Long Strategy;
The strategy is if the EMA_5 cross over EMA_10 in 1 hour chart, it is long opportunity. Now check the price on daily chart.
If the EMA_5 cross over EMA_10 in daily chart, long more!!.
Short Strategy;
If the EMA_5 cross under EMA_10 in 1 hour chart, it is a short opportunity. Now check the price on daily chart.
If the EMA_5 cross under EMA_10 in daily chart, short more!!
This is my first pine editor code. I am new at coding.
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)
FRAMA - Supertrend strategyFRAMA Strategy
I found this strategy on internet, in a well-known forex forum.
I have translated the two indicators mentioned in that strategy (originally in mq4) in pine script.
Thanks to Fractured and Shizaru for the FRAMA snippets, to mejialucas for Supertrend snippet, to JayRogers for trade management snippet and to Trost for backtesting snippet.
I also added some code to have FRAME with a deiiferent timeframe
Indicators set-up:
FRAMA period 24 (it was originally 25 but it's better to use an even number)
FRAMA timefarme lower then chart timeframe (e.g. daily chart and weekly FRAMA)
Supertrend indicator as it is.
Of course, it is better to adapt above setting to traded instrument.
Long/Buy rules:
1 - Enter at crossover between FRAMA and its signal
2 - Option to filter entries based on supertrend signal
3 - Exit when Supertrend change direction;
4 - Exit long when short signal occurs;
Short/Sell rules:
1 - Enter at crossunder between FRAMA and its signal
2 - Option to filter entries based on supertrend signal
3 - Exit when Supertrend change direction;
4 - Exit short when long signal occurs;
VERY IMPORTANT NOTE: this is a trend following strategy, so the target is to stay in the trade as much as possible (drawdown my be high). If your trading style is more focused on scalping and/or pullbaks, this strategy is not for you.
Credits to who developed this startegy (google it).
Thanks to all pinescripters mentined in the code for their snippets.
I have also a study with alerts.
Please use comment section for any feedback or contact me if you need support.
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.
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.
Vortex with TSI strategyStrategy Terms
Indicator: Vortex
Indicator: True Strength Indicator
As you will see, the indicators have red and blue lines. To buy an option for a price increase, you need to wait for the simultaneous intersection of the lines of both indicators when the blue lines are at the top and the red ones go down. And vice versa, to buy an option with a forecast of a fall in prices, the blue lines should go down and the red lines up.
ALGO 3h, 1h, 2hThis script tracks the crossing of the 10EMA on the 3h timeframe and the 200EMA on the 1h timeframe to open LONGS and SHORTS. Whether those LONGS or SHORTS actually trigger is based on the first 2 EMA's position in relation to a 3rd "controller" EMA.
KPL Swing StrategyThe KPLSwing indicator is a simple trend following mechanical trading system which automates the entry and exit.
The trading system is extremely simple and easy to use and removes emotions from trading.
The trading or investing logic is simple.... buy on close above 20 days high and sell on close below 20 days low.
No targets are given as profits are unknown and is whatever the market gives. Losses are limited via position sizing.
Uhl MA System - Strategy AnalysisThe Uhl MA crossover system was specifically designed to provide an adaptive MA crossover system that didn't committed the same errors of more classical MA systems. This crossover system is based on a fast and a slow moving average, with the slow moving average being the corrected moving average (CMA) originally proposed by Andreas Uhl, and the fast moving average being the corrected trend step (CTS) which is also based on the corrected moving average design.
For more information see :
In this post, the performances of this system are analyzed on various markets.
Setup And Rules
The analysis is solely based on the indicator signals, therefore no spread is applied. Constant position sizing is used. The strategy will be backtested on the 15 minute time-frame. The mult setting is discarded, the default setting used for length is 100.
Here are the rules of our strategy :
long: CTS crossover CMA
short: CTS crossunder CMA
Results And Data
EURUSD:
Net Profit: $ 0.08
Total number of trades: 99
Profitability: 35.35 %
Profit Factor: 1.834
Max Drawdown: $ 0.01
EURUSD behaved pretty well, and was most of time showing long term trends without exhibiting particularly tricky structures, the moving averages still did cross during ranging phases, since march 9 we can see a downtrend with more pronounced cyclical variations (retracements) that could potentially lead to loosing trades.
BTCUSD:
Net Profit: $ 4371.57
Total number of trades: 94
Profitability: 32.98 %
Profit Factor: 1.749
Max Drawdown: $ 1409.96
The strategy didn't started well, producing its largest drawdown after only a few trades, the strategy still managed to recover. BTCUSD exhibited a strong downtrend, the strategy profited from that to recover, signals still occurred on ranging phases, and where mostly caused by a short term volatile move, unfortunately the CMA can converge toward ranging/flat price zones where false signals might occur at higher frequency.
AMD:
Net Profit: $ 16.09
Total number of trades: 95
Profitability: 29.47 %
Profit Factor: 1.288
Max Drawdown: $ 20.11
On AMD the strategy started relatively well with a raising balance, then the balance quickly fallen, this downtrend in the balance lasted quite some time (almost 48 trades), the strategy finally recovered in Nov 2019 and the balance made a new highest high at the end of February. AMD had numerous trends during the backtesting period, yet results are poor.
AAPL:
Net Profit: $ -28.17
Total number of trades: 89
Profitability: 28.09 %
Profit Factor: 0.894
Max Drawdown: $ 63.21
AAPL show the poorest results so far, with a stationary balance around the initial capital (in short the evolution of the balance is not showing any particular trend and oscillate around the initial capital value).
AAPL had some significant retracements in its up-trend, which triggered some trades (of course), and the ranging period from Jan 24 to Feb 13 heavily damaged the strategy performance, generating 6 significant loosing trades. AAPL show the worst results so far, mostly due by ranging phases.
Conclusions
The Uhl MA crossover system strategy has been tested and based on the results don't show particularly interesting performances, and might even be outperformed by simpler MA systems that prove to be more robust against ranging markets. The total number of executed trades are on average 94, and the profitability is on average 31%. The strategy might prove more interesting if we can correct the behavior of the CMA, who sometimes converged toward ranging/flat markets.
Modified 3MA cross : Modified 3 moving average crossoverModified 3MA cross : Modified 3 moving average crossover
Rsi, Ema , Ma and Bollinger Bands for 1 min BtcusdtThis is for 1 min Btcusdt pair.
I am tring to find a way to catch %1 ups and downs.
Basicly it buys when rsi low and minute candle closes under ema,ma and lower bollinger band,
it sells when candle goes over upper bb,low ma, when rsi high.
It sells when rsi high ,candle closes over upper bb,over low ma and does the opposite when buying.
I know it's crowded but still tring to learn what to do ^^
I welcome any suggestions to improve.
It works better with shorts for now.
Don't buy with this !! You might lose big !
Patient Trendfollower (7)(alpha) Backtesting AlgorithmThis is an alpha version of backtesting algorithm for my Patient Trendfollower (7) strategy. It can help you adapt the indicator to other charts than EURUSD. Please bear in mind that price action, volume profiles and supzistences are a catalyst for successful trading, not an indicator. You can get significantly better results if you use these things in your trading and use Trendfollower only as a secondary tool.
Patient Trendfollower Indicator
Thanks belongs to @everget and Satik FX, their contributions are highlighted on an indicator page.
