Scalping using RSI 2 indicator with TSLThis strategy implements a simply scalping using the RSI (calculated on two periods), the slopes of two MAs ( EMA or SMA ) having different lengths (by default, I use 50 and 200).
A trailing stop loss (%) is used.
Entry conditions:
.) Fast MA > Slow MA and Price > Slow MA and RSI < Oversold Threshold ------> go Long
.) Fast MA < Slow MA and Price < Slow MA and RSI > Overbought Threshold ------> go Short
Exit conditions:
.) Long entry condition is true and (close >= TP or close <= TSL ) ----> close short position
.) Short entry condition is true and (close <= TP or close >= TSL ) ----> close long position
The strategy performed best on Bitcoin and the most liquid and capitalized Altcoins but works excellent on volatile assets, mainly if they often go trending.
Works best on 3h - 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 study inputs. The purpose is not opening positions if the price goes sideways and the noise is way > than the signal.
Note:
.) the RSI length is 2;
.) the oversold Threshold is 90%;
.) the overbought Threshold is 10%;
.) by default, the trailing stop loss per cent is 1%;
.) by default, the fast MA length is 50;
.) by default, the slow MA length is 200;
.) by default, the MA used is EMA.
Cheers.
Basit Hareketli Ortalama (SMA)
Equal-Length EMA/SMA Crossover Momentum StrategyOverview:
This momentum and trend-following strategy captures the majority of any trending move, and works well on high timeframes.
It uses an equal-period EMA and SMA crossover to detect trend acceleration/deceleration, since an EMA places a greater weight and significance on the most recent data.
This version is optimized for longs, and designed to cut your losses quickly and let your winners run.
To reduce noise and optimize entries, we combined this with an overall trend bias for further confluence.
How it works:
Signals are determined by the crossover of an EMA and SMA of the same length, e.g. EMA-50 and SMA-50.
The overall trend bias is determined using a slower SMA golden/death cross, e.g. SMA-50 and SMA-100.
The signal is stronger when it occurs in confluence with the overall trend bias, e.g. when EMA-50 crosses over SMA-50, while above the SMA-100. This is analogous to only opening long positions in a bull market.
Signal description:
Trend Buy: EMA crosses above SMA, and overall trend bias is bullish. Buying is in confluence with the overall trend bias.
Risky Buy: EMA crosses above SMA, and overall trend bias is bearish. Buying is early, more risky, and not in confluence with the overall trend bias.
Late Buy: SMA crosses above BIAS_SLOW. This gives further confirmation of bullish trend, but signal comes later.
Sell: EMA crosses under SMA.
Strategy entry and exit conditions:
This version enters a Long when "TREND BUY" is signalled.
This version has Sell/Shorts disabled because UP ONLY.
Long entry: Strategy enters Long when EMA is above SMA, while overall trend bias is bullish.
Long exit: Close long when EMA crosses under SMA.
Triple SMA Strategy with entries based on sma price closesHi! :)
This strategy is made for intraday trades, especially on 5 sec - 5 min charts to follow the trend.
I have not tested on higher timeframes, but feel free to play with the values.
I have set a basic value for the 3 SMA at
-200
-400
-600
We will use an oscillator for entries which is not mine. Link ->
The oscillator mentioned above is just for visualization purposes, You do not need to get the signals, but You can see how scripts are generated with different values.
When the price above/below all the 3 SMA and oscillator crosses above/below "value you set" - You will get the buy or sell signal.
Your stop will be where the slowest SMA is.
Pyramiding is set for 10.
You can manually set 3 take profit and quantity levels.
Basic values are 1 %, 2 %, and 6 % for taking profits - You can change it based on how volatile the asset is.
Basic quantity values are 30 % at each level.
Hope You find it useful :)
Fancy Bollinger Bands Strategy [BigBitsIO]This script is for a Bollinger Band type indicator with built-in TradingView strategy including as many features as I can possibly fit into a Bollinger Band type indicator including a wide variety of options to create the most flexible Bollinger Bands strategy possible.
Features:
- A single custom moving average serving as the middle band.
- Standard MA inputs.
- MA type.
- MA period.
- MA price.
- MA resolution (time frame).
- Visibility toggle.
- MA Candle Type
- Fancy MA inputs.
- Toggle to show only candles included in the MA calculation ("Highlight inclusion") or display entire MA history.
- Toggle to show a ghost trail when Highlight inclusion is toggled on. Displays a shaded version of past MA history before the inclusion period (as seen on snapshot).
- Toggle to show forecast values for the MA.
- Other inputs related to forecasting:
- Forecast bias. (Neutral forecasts MA if the current price remains the same.)
- Forecast period.
- Forecast magnitude.
- Toggle showing details on the screen
- Toggle the visibility of the fill between the upper and lower bands.
- Toggle to use ATR instead of the standard deviation to calculate the location of the upper and lower bands.
- Custom input for the ATR period.
Strategy Features
-Strategy Window - only test during this window
-Take Profit and Stop Loss
-Open and Close conditions, including condition counts and any/all requirements
-Many conditions to choose from that can either be selected to open, close or open and close a position
-Conditions include:
-Price crossing above/below the Upper, Middle, or Lower bands
-Price being above/below the Upper, Middle, or Lower bands
-Bollinger Band width crossing or being above/below custom values
-Percent B crossing or being above/below custom values
This script may contain errors, or out of date code. Please be mindful of updates to the script.
*** DISCLAIMER: For educational and entertainment purposes only. Nothing in this content should be interpreted as financial advice or a recommendation to buy or sell any sort of security or investment including all types of crypto. DYOR, TYOB. ***
Combined EMA & MA crossovers [CDI]Implementation of the strategy of moving averages crossings combining two fast and two slow that are used to confirm the entry.
The purpose is to be able to quickly see a backtesting of the strategy by easily configuring the profit / loss percentage. In this script the profit percentage is used for the loss percentage as well.
Additionally you can see the moving averages all in a single chart tool.
In the community to which I belong, this strategy is used in daily candles, especially for swing trading, but it can be used in different time frames.
WARNING:
- For purpose educate only
- The entries are used under your responsibility
BTC and ETH Long strategy - version 2I wrote my first article in May 2020. See below
BTC and ETH Long strategy - version1
After 6 months, it is now time to check the result of my script for the last 6 months.
XBTUSD (4H): 14/05/2020 --> 22/11/2020 = +78% in 4 trades
ETHXBT (4H): 14/05/2020 --> 22/11/2020 = +21% in 9 trades
ETHUSD (4H): 14/05/2020 --> 22/11/2020 = +90% in 6 trades
Using the signals from this strategy to trade manually has shown that this was a bit frustrating because of the low rate of winning trades.
If you have to enter 100 trades and see 75% of them failing and 25% winning, this is frustrating. For sure the strategy makes good money but it is difficult to hold this mentality.
So, I have reviewed and modified it to get a higher winning rate.
After few days of work, tests and validation, I managed to get a wining rate close to 60%.
The key element was also to decrease the number of trades by using a higher time frame. (4H candles instead of 2H candles).
- Entry in position is based on
MACD, EMA (20), SMA (100), SMA (200) moving up
AND EMA (20) > SMA (100)
AND SMA (100) > SMA (200)
- Exit the position if: Stoploss is reached OR EMA (20) crossUnder SMA (100)
The goal of this new script is to be able to follow the signals manually and only make few trades per years.
I have also validated it against some other altcoins where some are giving very good results.
Here are some results for 2020 (from 01/01/2020 until now (22/11/2020). Those results are the one I get when using 4H candles.
ETH/USD: +144% in 8 trades.
BTC/USD: +120% in 7 trades.
ETH/BTC: +33% in 9 trades.
ICX/USD: +123% in 10 trades.
LINK/USD: +155% in 11 trades.
MLN/USD: +388% in 8 trades.
ADA/USD: +180% in 7 trades.
LINK/BTC: +97% in 10 trades.
The best is that above results are without considering compound effect. If you re-invest all gains done in each new trade, this will give you the below results :)
ETH/USD: +189% in 8 trades.
BTC/USD: +260% in 7 trades.
ETH/BTC: +29% in 9 trades.
ICX/USD: +112% in 10 trades.
LINK/USD: +222% in 11 trades.
MLN/USD: +793% in 8 trades.
ADA/USD: +319% in 7 trades.
LINK/BTC: +103% in 10 trades.
As you can see, the results are good and the number of trades for 11 months is not big, which allows the trader to place orders manually.
But still, I'm lazy :), so, I have also coded this strategy in HaasScript language which allows you to automate this strategy using the HaasOnline software specialized in automated crypto trading.
I hope that this strategy will give you ideas or will be the starting point for your own strategy.
Let me know if you need more details.
[Strategy] Simple Golden CrossSimple Golden Cross Strategy.
Works best on a daily chart on "Blue Chip" cryptos such as BTC, ETH, and LTC.
Entry Signal:
-50 day moving average crosses over the 100 day moving average.
Exit Signal:
-50 day moving average crosses under the 100 day moving average.
-Daily candle closes under the 100 day moving average (support).
-100 day moving average crosses under the 200 day moving average.
Higher High / Lower Low StrategyThis is a very simple trend following strategy for Day Trading. The premise is to follow the Moving Average for the trend direction and buy/sell the dips and blips in the trend.
1. In an uptrend, when the candle action offers a "dip", or a lower high, the strategy will then buy on the close of the candle that breaks the high of the previous candle.
2. In a downtrend, when the candle action offers a"blip", or a higher low, the strategy will then sell on the close of the candle that breaks the low of the previous candle.
3. The strategy will go Long only or Short only, not both. It must be manually reversed in the settings when a new trend is established.
4. The start month and year allow you to backtest from then until now. It's not one month at a time.
5. The strategy uses a reversal of the Stochastic %K variable as the exist. The setting for Period K controls the exit for backtesting purposes.
6. The strategy uses a moving average to determine the trend. The setting for the Period MA controls the SMA.
7. The strategy has the option of filtering the number of trades based on the direction of the MACD and/or the Signal line. This can either reduce or increase the probability, and is highly dependent on the price action of the instrument.
WARNING: I am not a licensed financial advisor. This script is intended for entertainment purposes only. I highly recommend you manually enter and exit positions per your own Trading Rules, and do not blindly follow any software or recommendation. Use of this script is elective and at your own discretion, and risk.
If you like this script, please give it a Thumb's Up, and leave a comment. If you would like any custom scripts developed, contact me to discuss it. All of my work here is open and available, free of charge. It can be copied and edited to suit your needs.
Simple and efficient MACD crypto strategy with risk managementToday I am glad to bring you another great creation suited for crypto markets.
MARKET
Its a simple and efficient strategy, designed for crypto markets( btcusd , btcusdt and so on), and suited for for higher time charts : like 1hour, 4hours, 1 day and so on.
Preferably to use 1h time charts.
COMPONENTS
MACD with simple moving average
ENTRY DESCRIPTION
For entries we have :
We check the direction with MACD . Depending if its an uptrend and positive level on histogram of MACD we go long, otherwise we go short.
RISK MANAGEMENT
In this strategy we use a stop loss based on our equity. For this example I choosed a 2% risk .That means if our account has 100.000 eur, it will automatically close the trade if we lose 2.000.
We dont use a take profit level.
In this example also we use a 100.000 capital account, risking 5% on each trade, but since its underleveraged, we only use 5000 of that ammount on every trade. With leveraged it can be achieved better profits and of course at the same time we will encounter bigger losses.
The comission applied is 5$ and a slippage of 5 points aswell added.
For any questions or suggestions regarding the script , please let me know.
Simple Moving Average CrossThe script uses 3 simple moving averages that you can define (SMA Top, SMA Mid, SMA Long).
Once the SMA Top is above the SMA Mid and the SMA Mid is above the SMA Top a long position is entered.
Once the SMA Top is below the SMA Mid and the SMA Mid is below the SMA Top a short position is entered.
You may define how long before these positions are entered by adjusting the bars in the Inputs section.
A setting of 0 will enter a position as soon as the conditions are met,
whereas a setting of 5 will wait 5 bars after the conditions are met before entering the positions.
SMA StrategyIn this strategy, I took advantage of two different sma intersections for buying and selling points. You can use the intersection of 2 sma values for buying and 2 separate sma intersection for selling.
The main purpose of this strategy is to calculate the rate of return of the indicator belonging to this system. You can access the indicator version from this link and set an alarm.
PineScript v4 - Forex Pin-Bar Trading StrategyPineScript v4, forex trading robot based on the commonly used bullish / bearish pin-bar piercing the moving averages strategy.
I coded this robot to stress-test the PineScript v4 language to see how advanced it is, and whether I could port a forex trading strategy from MT4 to TradingView.
In my opinion, PineScript v4 is still not a professional coding language; for example you cannot use IF-statements to modify the contents of global variables; this makes complex robot behaviour difficult to implement. In addition, it is unclear if the programmer can use nested IF-ELSE, or nested FOR within IF.
The sequence of program execution is also unclear, and although complex order entry and exit appears to function properly, I am not completely comfortable with it.
Recommended Chart Settings:
Asset Class: Forex
Time Frame: H1
Long Entry Conditions:
a) Moving Average up trend, fast crosses above slow
b) Presence of a Bullish Pin Bar
c) Pin Bar pierces either Moving Average
d) Moving Averages must be sloping up, angle threshold (optional)
Short Entry Conditions:
a) Moving Average down trend, fast crosses below slow
b) Presence of a Bearish Pin Bar
c) Pin Bar pierces either Moving Average
d) Moving Averages must be sloping down, angle threshold (optional)
Exit Conditions:
a) Stoploss level is hit
b) Takeprofit level is hit
c) Moving Averages cross-back (optional)
Default Robot Settings:
Equity Risk (%): 3 //how much account balance to risk per trade
Stop Loss (x*ATR, Float): 2.1 //stoploss = x * ATR, you can change x
Risk : Reward (1 : x*SL, Float): 3.1 //takeprofit = x * stop_loss_distance, you can change x
Fast MA (Period): 20 //fast moving average period
Slow MA (Period): 50 //slow moving average period
ATR (Period): 14 //average true range period
Use MA Slope (Boolean): true //toggle the requirement of the moving average slope
Bull Slope Angle (Deg): 1 //angle above which, moving average is considered to be sloping up
Bear Slope Angle (Deg): -1 //angle below which, moving average is considered to be sloping down
Exit When MA Re-Cross (Boolean): true //toggle, close trade if moving average crosses back
Cancel Entry After X Bars (Period): 3 //cancel the order after x bars not triggered, you can change x
Backtest Results (2019 to 2020, H1, Default Settings):
EURJPY - 111% profit, 2.631 profit factor, 16.43% drawdown
EURUSD - 103% profit, 2.899 profit factor, 14.95% drawdown
EURAUD - 76.75% profit, 1.8 profit factor, 17.99% drawdown
NZDUSD - 64.62% profit, 1.727 profit factor, 19.14% drawdown
GBPUSD - 58.73% profit, 1.663 profit factor, 15.44% downdown
AUDJPY - 48.71% profit, 1.635 profit factor, 11.81% drawdown
USDCHF - 30.72% profit, 1.36 profit factor, 22.63% drawdown
AUDUSD - 8.54% profit, 1.092 profit factor, 19.86% drawdown
EURGBP - 0.03% profit, 1.0 profit factor, 29.66% drawdown
USDJPY - 1.96% loss, 0.972 profit factor, 28.37% drawdown
USDCAD - 6.36% loss, 0.891 profit factor, 21.14% drawdown
GBPJPY - 28.27% loss, 0.461 profit factor, 39.13% drawdown
To reduce the possibility of curve-fitting, this robot was backtested on 12 popular forex currencies, as shown above. The robot was profitable on 8 out of 12 currencies, breakeven on 1, and made a loss on 3.
The default robot settings could be over-fitting for the EUR, as we can see out-sized performance for the EUR pairs, with the exception of the EURGBP. We can see that GBPJPY made the largest loss, so these two pairs could be related.
Risk Warning:
This is a forex trading strategy that involves high risk of equity loss, and backtest performance will not equal future results. You agree to use this script at your own risk.
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:
SSL Backtester With ATR SL TP and Money ManagementSimilar to other SSL Channel scripts, but this one allows you to set an ATR-derived stop loss and adds the option to risk a % of the equity or used a fixed lot.
Enters upon a long or short SSL crossover.
FIXED LOTS
For 0.01 "lots" use 1000
For 1 standard lot, use 100,000
FOR MONEY MANAGEMENT
For 1% risk, enter 0.01
For 10% risk, enter 0.1
etc
You should be able to adapt this to any other indicator by just changing the entry conditions and adding your own indicator values.
It is not meant to be a profitable script, just a template to begin adding money management ideas to existing scripts which currently just enter and exit on an event.
Fancy strategy alerts example [QuantNomad]Alerts on strategies were introduced just recently in TradingView.
These alerts have an alert_message placeholder which allows you to compose in PineScript very complex alerts and insert quite a lot of information in them.
This is just very simple example of how they can look like.
Combination Parabolic MA/IIR/ALMA Strategy, and other goodies Okay, 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!
BB Keltner Squeeze StrategyShows all bollinger bands (solid lines) and keltner channels (dotted line) and will go long/short when a squeeze happens between bollinger bands and keltner channel and exit the positions once there is no more momentum
SMA STRATEGYIt is a simple strategy to show a possible combination of a simple moving average and Fast-SMA published earlier.
It goes long only when the price is over sma 50 and FSMA and closes the trade when it crosses down FSMA. The same logic is for the shorting.
At this time this strategy does not take in count slow crossing and fuss that needs additional confirmation. I described such cases in Fast SMA script.
The strategy does not repaint. Bars color when a candle closes.
Monthly MA Close Generates buy or sell signal if monthly candle closes above or below the signal MA.
Long positions only.
Inputs:
-Change timeframe MA
-Change period MA
-Use SMA or EMA
-Display MA
-Use another ticker as signal
-Select time period for backtesting
This script is not necessarily written to maximize profits, but to minimize losses.
Although it can outperform 'Buy & Hold' on some occasions when there is a multiple month bearisch trend.
You can optimise this strategy by changing the signal MA inputs.
I would suggest aiming for the best Profit Factor starting from the monthly ("M") setting.
You can always fine-tune the results at a lower timeframe.
The option to use another ticker for providing signals can give you a more stable and unified results.
For example using AMEX:SPY as signal with default parameters gives better results with NASDAQ:AAPL than if you would use NASDAQ:AAPL itself.
I used the anti-repainting function from PineCoders to prevent repainting.
This script is best used for multi-month trading positions & Daily or 4H setting of your chart.
Dazzling BoltsThis is three moving average based strategy focused on trend-following. Targets and stops are set based on ATR. Following image pictures the strategy with all mas plotted:
Buying conditions are:
►A smoothened moving average (red) is above the exponential moving average (yellow)
►An exponential moving average is above simple moving average (black)
►Low five candles ago was still above the exponential moving average
►Low two candles ago reached below the exponential moving average
►Close of the previous candle was above the exponential moving average
►Ema force is disabled or exponential moving average set candles ago (orange) is still above simple moving average now.
If these conditions are met, Dazzling Bolts will always give you a signal. However, it holds only one position at a time and it will not buy again until it is closed or exited.
There are two ways exiting may happen. Smoothened moving average crosses below simple moving average or it reaches value based on your settings of average true range and its multiplier.
Settings 10/76/200/true/50/true/true/5/5 shows perfect results on EURUSD 15m chart but it does not guarantee the results. It is only 62 trades which is barely a useful statistical source. It is also highly optimized which means its settings filters out bad trades that may be bad only because of randomnation rather than set market behaviour. You need to test it on 200 trades + before using.
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.
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)
GMS: RSI & ROC StrategyThis is a basic strategy like the RSI one I posted. This one adds in the Rate of Change indicator as well.
You can separate the two for RSI only and ROC only. Everything else is the same as the RSI strategy.
- Simple moving average trend filter.
- Simple moving average trade exit.
- Both long and short or each on it's own.
The source code should be open if you want to see it or modify it for your own project. I hope it helps!
Andre
Global Market Signals
