HT + RSI Pullback by @DaviddTechThis strategy uses the HT algo and the RSI.
The HT is used to find the global trend and RSI on a length of 2 to find pullbacks.
Long Positions :
* HT is in the blue.
* RSI on length 2 goes in to oversold < 10
* Trigger candle closes higher that the high of the previous candle.
Short Positions :
* HT is in the red.
* RSI on length 2 goes in to overbrough > 90
* Trigger candle closes lower that the low of the previous candle.
Stop loss is the swing low or high.
TP Short :
* The RSI moves back down below the 10
TP Long
* The RSI moves back up above the 90
WARNING:
- For purpose educate only - My mission is to debunk fake strategies with code to find THE ONE.
- Plots EMAs and other values on chart.
- This script to change bars colors.
If you have any questions or feedback, please let me know in the comments.
In den Scripts nach "algo" suchen
SQZ Multiframe StrategyThis is a first attempt to automate what my current strategy when trading is.
It uses 2 timeframes: the one you are currently using to see the chart and an "anchor trend" which is a higher order frame.
Supported timeframes are: 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W
The Strategy relies on two indicators:
Squeeze Momentum Indicator
CMF
How does it works?
It looks for a moment when the following conditions are met.
For Long:
Positive directionality in SQZM monitor in anchor timeframe
Positive directionality in SQZM monitor in current timeframe
Recent minimum in CMF
For Short:
Negative directionality in SQZM monitor in anchor timeframe
Negative directionality in SQZM monitor in current timeframe
Recent maximum in CMF
After a BUY or SELL order is executed the plot will start showing two lines: A TP line, and a SL line.
The TP and SL move dynamically based on a greedy algorithm based on 3 input parameters.
Min Profit to Start Moving SL (%): Sets an initial target for the trade.
Maximum Possible of SL (%): This is the maximum amount possible for SL. If volatility is not too high, a shorter SL will be chosen based on Kaufman's Stops method
Take profit factor: Is how much portion of the target I am taking as profit once the target is reached
Example for 5% Min profit:
When the first target is reached (+5%), the SL will be updated to 2.5% over the enter price.
When the second target is reached (+10%), the SL will be updated to 5% over the enter price.
Note: The strategy might abandon the position prematurely if a contrary signal is received while the trade is opened, and will change direction.
The Strategy has been backtested mostly for crypto. It might be good for stocks too, but the parameters mentioned might need some adjustments since price moves at a different rate.
Recommended timeframe is 4H for BTC , and 30min/1H for alts.
Comments and ideas are more than welcome!
SMA-Extendido-Estrategia por NeilDescription:
Strategy that identifies entry and exit operations, using 3 moving averages and 5 strategies. New strategies are implemented such as the prediction of closing operations, independent of the events that justify entry operations.
How does it work:
1) Long strategy: if SMA5 crosses up to SMA200 and SMA200 is bullish, a buy operation begins, if SMA5 crosses down to SMA200 and SMA200 is bearish, a sale begins.
2) Short strategy with smooth filtering of operations: if SMA5 crosses up to SMA20 and SMA20 is bullish and (SMA5 are above SMA200) a buy operation is initiated. If SMA5 crosses down to SMA20 and SMA20 is bearish and (SMA5 are below SMA200) a sell trade is initiated
3) Short strategy with strong filtering of operations: if SMA5 crosses up to SMA20 and SMA20 is bullish and (SMA5 and SMA20 are above SMA200 and SMA200 is bullish) a buy is initiated, in other words, buy operations occur only if SMA5 and SMA20 are above SMA200; if SMA5 crosses down to SMA20 and SMA20 is bearish and (SMA5 and SMA20 are below SMA200 and SMA200 is bearish) a sell is initiated, that is, sell operations occur only if SMA5 and SMA20 are below SMA200
4) Short strategy without filtering operations: if SMA5 crosses up to SMA20 and SMA20 is bullish, a buy is initiated (the location of MA200 does not matter). If SMA5 crosses down to SMA20 and SMA20 is bearish, a sell is initiated (it does not matter where the MA200 is located)
5) Prediction of closing operations: the algorithm evaluates potential closing operations differently and considers the following rules: If there is an active buy trade and SMA5 crosses down to SMA20, we close the current buy (the location of the SMA200 does not matter). If there is an active sell trade and SMA5 crosses up to SMA20, we close the sale in progress (the location of the SMA200 does not matter)
How to use it:
Press the "Indicators" option, go to the "Public Librarian" segment, write the name "SMA-Extendido-Estrategia por Neil", double-click on the record in question and you will have it added in your work panel, now, just It remains to be used to identify the inputs and outputs and you can do it visually or by defining the automatic notification alerts.
Hull Crossover Strategy no TP or SLWhat is it?
A simple yet effective strategy ran on the 30m chart.
This is a basic idea that can be expanded on using different indicator to either add signals or filter out certain bad signals!
The strategy consists of 1 fast moving average and 1 slow moving average.
Both of these moving averages are the Hull Moving Average
What is the Hull Moving Average?
The Hull Moving Average ( HMA ) is a directional trend indicator.
It captures the current market conditions and uses recent price action to determine if conditions are bullish or bearish relative to historical data.
The Hull is different from traditional trend indicators like the EMA and the SMA .
It is designed to reduce the lag often associated with other MAs by providing a faster signal on a smoother visual plane.
How it works?
When the fast HMA crosses over the slow HMA , we initiate a long signal, and
when the fast HMA crosses under the slow HMA , we initiate a short signal.
Conclusion
The power of simplicity is what makes this such a great core to use to build onto making something even better!
The results were optimised to suit the most common market conditions seen today.
******** Not financial advice! ********
HYSTERIAN BIST:SISE TRADE ALGORITHMThis strategy is using 5 minute charts and relative price movement in that period of time and determines optimum entry levels.
This strategy optimized ONLY FOR BIST:SISE stock futures because of its unique characteristics.
Strategy needs minimum 50000TRY account balance on Futures account and opens 100 lot SISE1! (Current contract in Front) Buy order when criterias met and TP or stop when criterias triggered. No pyramiding. One position at a time.
Commission used in strategy is 0.15 TRY per lot which i currently have in my real account.
Backtest results shows that strategy has an impressive %80 hit rate and above %40 percent profit in total of 81 positions. Max drawdown is below %6 percent.
You can use more position size if you have a bigger account. For example if you have 100000TRY balance in your trading account, you can set position size for 200 lot.
Brief summary in Turkish:
SISE hissesine özel tasarlanmış bir koddur. VIOP'ta kullanılır.
Hem yükselen hem düşen piyasada , sadece LONG yönlü işlem yapar. İşlemlerin yaklaşık %80 başarı oranı vardır. 1 yıllık backtest sonuçları yaklaşık %40 portföy büyümesine işaret etmektedir. Maksimum geri çekilme ise %6'nın altında olmuştur.
Her işlem 100 kontrat ile açılır, kapanana kadar yeni işlem açılmaz. 50 bin liralık bir VIOP hesabı ile kullanılması planlanmıştır.
Hesap büyüklüğüne bağlı olarak lot miktarı büyütülebilir. Yani viop hesabınız 100 bin TL ise, 200 lot ile işlem yapabilirsiniz.
5 dakikalık grafiklerde kullanılmalıdır, fiyatın o zaman dilimindeki relatif hareketlerine göre optimum giriş seviyesinde pozisyon açar. Stop ve TP seviyeleri koda gömülüdür ve optimize edilmiştir.
Lot başına 0.15 TRY komisyon tanımlanmıştır, gerçek hesabımdaki komisyon oranıdır.
Trend Bounce [racer8]I discovered this mechanical trading system titled "This Algo Strategy Has Only 3 rules and 62% Win Rate".
I coded the trading system on Tradingview...and now I am introducing it to you guys.
I modified the system so that it has both buy & sell signals.
I've tested it repeatedly in different markets on TV including stocks, currency pairs, bitcoin, and commodities...and it works!
A buy signal is generated whenever the current close is below the previous 7-day low and the current close is above the 200 period moving average.
A sell signal is generated whenever the current close is above the previous 7-day high and the current close is below the 200 period moving average.
The system also has a 2-ATR stop loss which I coded.
This system is unique in that it has both trend-following and reversal elements in it.
The system trades short-term reversals while obeying the long-term trend.
Essentially, you are buying the dips of bullish trends! & selling at the peaks of bearish trends!
Enjoy ♡
HYE Mean Reversion VWAP [Strategy]An RSI filtered version of PJ Sutherland's Jaws Mean Reversion algorithm using volume weighted average price (VWAP) instead of simple moving average (SMA).
"Long" on the close when;
1-) 2 period VWAP closes 3% or more below the 5 period VWAP ,
2-) 5 period exponential average of the 2 period RSI is below 30.
"Exit Long" on the close when;
1-) 2 period VWAP closes above the 5 period VWAP.
"Short" on the close when;
1-) 2 period VWAP closes 3% or more above the 5 period VWAP ,
2-) 5 period exponential average of the 2 period RSI is above 70.
"Exit Short" on the close when;
1-) 2 period VWAP closes below the 5 period VWAP.
*** You can change the needed percentage for long and short trades, periods of VWAPs and RSI levels.
*** You can select the trend direction: "Long Only" , "Short Only" or "Both". Default is "Long Only".
I used the "VWAP with period" indicator code of @neolao. Special thanks to @neolao.
Indicator Link:
How to use Leverage and Margin in PineScriptEn route to being absolutely the best and most complete trading platform out there, TradingView has just closed 2 gaps in their PineScript language.
It is now possible to create and backtest a strategy for trading with leverage.
Backtester now produces Margin Calls - so recognizes mid-trade drawdown and if it is too big for the broker to maintain your trade, some part of if will be instantly closed.
New additions were announced in official blogpost , but it lacked code examples, so I have decided to publish this script. Having said that - this is purely educational stuff.
█ LEVERAGE
Let's start with the Leverage. I will discuss this assuming we are always entering trades with some percentage of our equity balance (default_qty_type = strategy.percent_of_equity), not fixed order quantity.
If you want to trade with 1:1 leverage (so no leverage) and enter a trade with all money in your trading account, then first line of your strategy script must include this parameter:
default_qty_value = 100 // which stands for 100%
Now, if you want to trade with 30:1 leverage, you need to multipy the quantity by 30x, so you'd get 30 x 100 = 3000:
default_qty_value = 3000 // which stands for 3000%
And you can play around with this value as you wish, so if you want to enter each trade with 10% equity on 15:1 leverage you'd get default_qty_value = 150.
That's easy. Of course you can modify this quantity value not only in the script, but also afterwards in Script Settings popup, "Properties" tab.
█ MARGIN
Second newly released feature is Margin calculation together with Margin Calls. If the market goes against your trades and your trading account cannot maintain mid-trade drawdown - those trades will be closed in full or partly. Also, if your trading account cannot afford to open more trades (pyramiding those trades), Margin mechanism will prevent them from being entered.
I will not go into details about how Margin calculation works, it was all explainged in above mentioned blogpost and documentation .
All you need to do is to add two parameters to the opening line of your script:
margin_long = 1./30*50, margin_short = 1./30*50
Whereas "30" is a leverage scale as in 30:1, and "50" stands for 50% of Margin required by your broker. Personally the Required Margin number I've met most often is 50%, so I'm using value 50 here, but there are literally 1000+ brokers in this world and this is individual decision by each of them, so you'd better ask yourself.
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Please note, that if you ever encounter a strategy which triggers Margin Call at least once, then it is probably a very bad strategy. Margin Call is a last resort, last security measure - all the risks should be calculated by the strategy algorithm before it is ever hit. So if you see a Margin Call being triggred, then something is wrong with risk management of the strategy. Therefore - don't use it!
HMA_ATR StrategyATR with HMA experimental minimalist bot for ETHBTC .
A strategy for use by Automated Algorithm systems.
Different from normal ATR as it uses HMA for smoothing.
Example settings result shown here on chart include commission 0.5%
Dankland Playground Moneymaker - V2“version 2” of my playground bot script. Its essentially a powerhouse suite of strategies. Although it is similar to the previous script, it nets different results as sections have been changed. Such as the somewhat reluctant removal of the Chande Momentum... The RSIs have also been updated, this was one of the main changes. RSIS now include a Moving Average cross of RSI to generate signals above and below the given thresholds instead of simply on crossing a threshold. This should give greater functionality overall. Most functions including Moving Averages have been updated to include a wider range of kinds of moving averages. This includes not just the moving average cross, but MACD and RSIs as well. I tried to perform the same upgrade on the %B, Stochastics and SMI, but hit the unpacked code limit of 60,000 lines... So, more “versions” will have to come for future “upgrades”, with the recognition that there will be cases where the old, “downgraded” versions may perform better and that some people (like myself) may continue to use them on some markets until I/we devise superior settings on the new ones for said markets. For instance, instead of replacing my 1 hr BTCUSD bot (where I used the now deleted Chande to pretty pleasing affect...) I made a new one for LINKUSD 10 min so I can have both running for now and work on replacing the BTCUSD later.
How it works basically is this... you have 16 oscillators which can all be used as independently as you wish. They can be split up into different groups or ran all together.
When in separate groups they should not be able to sell eachothers positions without triggering a full stop loss by turning the Independence/Stop All switches on. Every single oscillator has its own entry and exit position sizing which can be stated as either a percent of balance or a flat amount of contracts (or both combined). Each oscillator has a minimum amount of profit you can tell it to sell it, which is calculated from the average cost of your current position, which does include all groups. This works out to help you average out better entry and exit prices, essentially a method of DCAing.
You can set the minimum sale amount, which is to keep it from placing orders below your exchanges minimum dollar trade cost.
All this functionality combined also ensures more accurate back tests by ensuring that the script simply cannot spend money it doesn't see as in the balance, whereas other scripts will use a percentage of equity, and once 100% of your equity is in BTC for instance, it will keep buying more BTC for free and thus spoof up backtest numbers. If you look through the strategies here, many people claim to have amazing scripts and then you look into it and this is happening and skewing their numbers. These people are either very ignorant or what they made or scam artists and trolls in my opinion.
This version also includes On Bar Close switches for each oscillator. When switched on, signals are only allowed to generate on Bar Close. This helps to prevent retriggering from live signals, which when you are running this many oscillators, will become a problem! However, in most cases, you do not need to generate signals intrabar, as backtests will show, ignoring intrabar buys and sells (intrabar stop losses can still be very important though!) won't exactly keep you from high profitability strategies, but rather, allowing elements of chaos from live indicators moving up and down intrabar will, in fact, drift your actual results further and further from the backtest. You want an accurate backtest though. So choose wisely when you turn these off and you will do better.
The included oscillators are as follows:
NO MORE Chande Momentum cross – REMOVED – I was hitting PINE code limits here so I had to make choices and this one simply had to go. Begone!
Moving Average Cross
MACD cross
%B Bollinger cross
Stochastic cross + region filter
Stochastic RSI cross + region filter
SMII cross and region filter
Three RMIs
Know-Sure-Thing line-cross
Coppock Curve line-cross
TRIX line-cross
RSI of MA w/ MA cross
RSI of MA of KST w/ MA cross
RSI of MA of Coppock Curve w/ MA cross
RSI of MA of Trix w/ MA cross
So the idea is that this is essentially multiple strategies combined into one backtestable house. Balance is calculated for all position sizes in order to try to prevent false entries that plague so many scripts (IE, you set pyramiding to 2, each buy $1000, initial balance $1000, and yet it buys two orders off the bat for $2000 total and nets 400% profit because the second was considered free, happens on 90+% of scripts on Tradingview if you aren't very very careful!)
You tune each indicator and position size them so that they work together as well as you can and in doing so you are able to create a single backtest that is capable of running a bot, essentially, between multiple strategies - you can run a slower Moving Average cross, a faster SMI cross or MACD , or Bollinger that grabs big moves only, all the while having MACD trade small bonuses along the way. This way you can weight the Risk to Reward of each against eachother.
I will not try to claim this is something you can open and with no work have the best bot on the planet. This scripts intention is to take a lot of relatively common trading strategies and combine them under on roof with some risk management and the ability to weigh each against eachother.
If you are looking for a super advanced singular algorithm that tries to capture every peak and valley exactly on the dot, this is not for you. If you are looking for a tool with a high level of customizability, with a publisher who intends to update it to the best of his ability in accordance to seeking to make the best product that I personally can make for both myself and the community (because I will be using this myself of course!) that was specifically designed with the intention of performing well in spot markets by averaging low entry costs and high exit costs, this is for you! That is the exact intention here. It can certainly work with margin, but you will have to take extra care in setting your stop losses. I intend to make a version capable of going short which will be included as part of the package. It may take some work to keep all of the risk management working as well for shorts though. There will be more scripts added to the “package” as I hit the limit on this one a few times and have had to keep some ideas out already.
The current backtest shown is hand-optimized by myself for Link /USD 10min market (Binance US – shouldn't need much work to fit to other exchange markets) with multiple stop losses.
Bot go_up strategyHello. This strategy is based on go_up alerts.
Our task is to find the local minimum. The trade is entered on the basis of RSI and SMA according to a specific formula, which is embedded in the code. When the RSI crosses the SMA upside down, a long position is entered. You can change the length of the RSI . The longer the length, the less frequent, but more accurate the entrance, and vice versa. You can use a different time frame.
The settings have:
1) RSI length, the lower the length, the more often the entry.
2) Testing results for any period of time
3) Take profit for any percentage
4) Stop order for any percentage
5) If there is a check mark ✅, then purchases will always be made, and if not, then purchases will be made, BUT, if the next payback is lower than the previous one, it does not matter by what percentage.
6) If there is a check mark ✅, then each trace of the purchase will be made provided that it is lower by the percentage specified, even if the conditions of the purchase are triggered.
7) The filled area is made for visual display of consolidation zones
Default settings:
RSI length 15, step 1.5, take profit 15, stop order 30.
Also in the settings there is a pyramid of the order, keep this in mind. Enter a deal for a small part of the deposit, and not for all the money at once! You can remove pyramiding and see the results with one entry.
For a more visual understanding, overlay the go_up script.
You can choose a strategy for yourself based on history! If you need examples of strategies, then write to me, my contacts are in the column: instructions from the author.
Successful trades, dear friends, I am glad that you trust me!
72s Strat: Backtesting Adaptive HMA+ pt.1This is a follow up to my previous publication of Adaptive HMA+ few months ago, as a mean to provide some kind of initial backtesting tools. Which can be use to explore many possible strategies, optimise its settings to better conform user's pair/tf, and hopefully able to help tweaking your general strategy.
If you haven't read the study or use the indicator, kindly go here first to get the overall idea.
The first strategy introduce in this backtest is one most basic already described in the study; buy/sell is when movement is there and everything is on the right side; When RSI has turned to other side, we can use it as exit point (if in profit of course, else just let it hit our TP/SL, why would we exit before profit). Also, base on RSI when we make entry, we can further differentiate type of signals. --Please check all comments in code directly where the signals , entries , and exits section are.
Second additional strategy to check; is when we also use second faster Adaptive HMA+ for exit. So this is like a double orders on a signal but with different exit-rule (/more on this on snapshots below). Alternatively, you can also work the code so to only use this type of exit.
There's also an additional feature which you can enable its visuals, the Distance Zone , is to help measuring price distance to our xHMA+. It's just a simple atr based envelope really, I already put the sample code in study's comment section, but better gonna update it there directly for non-coder too, after this.
In this sample I use Lot for order quantity size just because that's what I use on my broker. Also what few friends use while we forward-testing it since the study is published, so we also checked/compared each profit/loss report by real number. To use default or other unit of measurement, change the entry code accordingly.
If you change your order size, you should also change the commission in Properties Tab. My broker commission is 5 USD per order/lot, so in there with example order size 0.1 lot I put commission 0.5$ per order (I'll put 2.5$ for 0.5 lot, 10$ for 2 lot, and so on). Crypto usually has higher charge. --It is important that you should fill it base on your broker.
SETTINGS
I'm trying to keep it short. Please explore it further again. (Beginner should also first get acquaintance with terms use here.)
ORDERS:
Base Minimum Profit Before Exit:
The number is multiplier of ongoing ATR. Means that when basic exit condition is met, algo will check whether you're already in minimum profit or not, if not, let it still run to TP or SL, or until it meets subsequent exit condition, then it will check again.
Default Target Profit:
Multiplier of ATR at signal. If reached before any eligible exit condition is met, exit TP.
Base StopLoss Point:
You can change directly in code to use other like ATR Trailing SL, fix percent SL, or whatever. In the sample, 4 options provided.
Maximum StopLoss:
This is like a safety-net, that if at some point your chosen SL point from input above happens to be exceeding this maximum input that you can tolerate, then this max point is the one will be use as SL.
Activate 2nd order...:
The additional doubling of certain buy/sell with different exits as described above. If enable, you should also set pyramiding to at least: 2. If not, it does nothing.
ADAPTIVE HMA+ PERIOD
Many users already have their own settings for these. So in here I only sample the default as first presented in the study. Make it to your adaptive.
MARKET MOVEMENT
(1) Now you can check in realtime how much slope degree is best to define your specific pair/tf is out of congestion (yellow) area. And (2) also able to check directly what ATR lengths are more suitable defining your pair's volatility.
DISTANCE ZONE
Distance Multiplier. Each pair/tf has its own best distance zone (in xHMA+ perspective). The zone also determine whether a signal should appear or not. (Or what type of signal, if you wanna go more detail in constructing your strategy)
USAGE
(Provided you already have your own comfortable settings for minimum-maximum period of Adaptive HMA+. Best if you already have backtested it manually too and/or apply as an add-on to your working strategy)
1. In our experiences, first most important to define is both elements in the Market Movement Settings . These also tend to be persistent for whole season since it's kinda describing that pair/tf overall behaviour. Don't worry if you still get a low Profit Factor here, but by tweaking you should start to see positive changes in one of Max Drawdown and Net Profit, or Percent Profitable.
2. Afterwards, find your pair/tf Distance Zone . When optimising this, what we seek is just a "not to bad" equity curves to start forming. At least Max Drawdown should lessen more. Doesn't have to be great already, but should be better, no red in Net Profit.
3. Then go manage the "Trailing Minimum Profit", TP, SL, and max SL.
4. Repeat 1,2,3. 👻
5. Manage order size, commission, and/or enable double-order (need pyramiding) if you like. Check if your equity can handle max drawdown before margin call.
6. After getting an acceptable backtest result, go to List of Trades tab and find the biggest loss or when many sequencing loss in a row happened. Click on it to go to exact point on chart, observe why the signal failed and get at least general idea how it can be prevented . The rest is yours, you should know your pair/tf more than other.
You can also re-explore your minimum-maximum period for both Major and minor xHMA+.
Keep in mind that all numbers in Setting are conceptually in a form of range . You don't want to get superb equity curves but actually a "fragile" , means one can easily turn it to disaster just by changing only a fraction in one/two of the setting.
---
If you just wanna test the strength of the indicator alone, you can disable "Use StopLoss" temporarily while optimising settings.
Using no SL might be tempting in overall result data in some cases, but NOTE: It is not recommended to not using SL, don't forget that we deliberately enter when it's in high volatility. If want to add flexibility or trading for long-term, just maximise your SL. ie.: chose SL Point>ATR only and set it maximum. (Check your max drawdown after this).
I think this is quite important specially for beginners, so here's an example; Hypothetically in below scenario, because of some settings, the buy order after the loss sell signal didn't appear. Let's say if our initial capital only 1000$ using leverage and order size 0,5 lot (risky position sizing already), moreover if this happens at the beginning of your trading season, that's half of account gone already in one trade . Your max SL should've made you exit after that pumping bar.
The Trailing Minimum Profit is actually look like this. Search in the code if you want to plot it. I just don't like too many lines on chart.
To maximise profit we can try enabling double-order. The only added rule coded is: RSI should rising when buy and falling when sell. 2nd signal will appears above or below default buy/sell signal. (Of course it's also prone to double-loss, re-check your max drawdown after. Profit factor play its part in here for a long run). Snapshot in comparison:
Two default sell signals on left closed at RSI exit, the additional sell signal closed later on when price crossover minor xHMA+. On buy side, price haven't met our minimum profit when first crossunder minor xHMA+. If later on we hit SL on this "+buy" signal, at least we already profited from default buy signal. You can also consider/treat this as multiple TP points.
For longer-term trading, what you need to maximise is the Minimum Profit , so it won't exit whenever an exit condition happened, it can happen several times before reaching minimum profit. Hopefully this snapshot can explain:
Notice in comparison default sell and buy signal now close in average after 3 days. What's best is when we also have confirmation from higher TF. It's like targeting higher TF by entering from smaller TF.
As also mention in the study, we can still experiment via original HMA by putting same value for minimum-maximum period setting. This is experimental EU 1H with Major xHMA+: 144-144, Flat market 13, Distance multiplier 3.6, with 2nd order activated.
Kiwi was a bit surprising for me. It's flat market is effectively below 6, with quite far distance zone of 3.5. Probably because I'm using big numbers in adaptive period.
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The result you see in strategy tester report below for EURUSD 15m is using just default settings you see in code, as follow:
0,1 lot for each order (which is the smallest allowed by my broker).
No pyramiding. Commission: 0.5 usd per order. Slippage: 3
Opening position is only using basic strategy #1 (RSI exit). Additional exit not activated.
Minimum Profit: 1. TP: 3.
SL use: Half-distance zone. Max SL: 4.5.
Major xHMA+: 172-233. minor xHMA+: 89-121
Distance Zone Multiplier: 2.7
RSI: Standard 14.
(From our forward-testing, the difference we get from net profit is because of the spread, our entry isn't exactly at the close/open price. Not so much though, but not the same. If somebody can direct me to any example where we can code our entry via current bid/ask price, that would be awesome!)
It's already a long post (sorry), think I'm gonna pause here. Check out the code :)
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DISCLAIMER: Past performance is no guarantee of future results , and so on.. you know the drill ;)
Please read whole description first before using, don't take 1-2 paragraph and claim it's the whole logic, you are responsible of your own actions and understanding.
Improved simple RSI Buy/Sell at a level (SL/TP)Improved Simple Strategy based on RSI, using overbought or oversold levels.
Backtest: ETHPERP (FTX) - 30m
Set STOP LOSS and GET PROFIT as a percentage (2% and 10% by default).
If strategy.position_size != 0 algorithm convert percentages into points and set stop loss and take profit limit orders.
Fibonacci DCA TrendThis bot makes use of an algorithm which detects new heights and places limit orders according to the Fibonacci retracement theory. By placing limit orders under the current price, the bot allows itself to catch smaller and larger dips. This is also known as “Dollar-Cost-Averaging”, DCA in short. This bot is ideal for bull markets, both on crypto and stock indices.
The green lines are the limit orders. As soon as the price touches the limit order, a position is entered.
The settings of the back test as follows:
starting capital = 100k
leverage = 1
commission = 0.2%
Equity per trade = 5%, a realistic investment strategy when trading 2-3 assets with this bot.
It’s advised to trade this bot with futures for potential leverage. On time frames lower than H1 I’d use 2x-3x leverage for better results, especially in trending markets. On larger time frames I wouldn’t use any leverage.
This bot has very strong results on a multitude of assets. The best results are on the M15 time frame.
To give you a few ideas, this bot is tested on the assets below. All the results are very similar. You can contact me for a back-test on a specific asset. You can find the back-test results on my website.
BTC
ETH
SPX500
NAS100
The standard inputs are generally the best all-round inputs. Feel free to change the inputs to your liking.
I've also made a study-script for easy implementation on the exchange. You get that script once you get access to this bot.
RSMI have published that script not like oscillator, which in fact it is, because tradingview doesn't support dual plots in overlay=true and overlay=false. So I have decided that to show filter is better idea. Yes, it decrease potential profit on long term, but for me personally, it is much better to understand the direction of the market movement and take potential trades more seriously. Also about this script: in general based on RSI and works pretty nice on 1H timeframe. Yes, theoretically it can work on both 4H and 1D timeframes, but for this you need to change the settings that are not displayed in the inputs (I did not add them, due to the fact that they can be confusing, because I decided to add a filter). And about filter - it is one of the variations of the SuperTrend. According to House Rules, I cannot insert links here, but only if you are interested in trying this work in auto trading, you can follow the link (located even lower) and find there an algorithm with the same name.
Dankland Playground DCAing multi-strategy OPThis is essentially a script that I made for myself before deciding it may be good enough for you all as well.
How it works basically is this... you have 18 oscillators which can all be used as independently as you wish. That means there are 20 groups which they can be split amongst as you choose.
When in separate groups they should not be able to sell eachothers positions without triggering a stop loss. Every single oscillator has its own position sizing and exit sizing which can be stated as either a percent of balance or a flat amount of contracts. Each oscillator has a minimum amount of profit you can tell it to sell it, which is calculated from the average cost of your current position, which does include all groups. This works out to help you average out better entry and exit prices, essentially a method of DCAing.
You can set the minimum sale amount, which is to keep it from placing orders below your exchanges minimum dollar trade cost.
The included oscillators are as follows:
Chande Momentum cross
Moving Average Cross
MACD cross
%B Bollinger cross
Stochastic cross + region filter
Stochastic RSI cross + region filter
SMII cross and region
Three RMIs
Standard RSI
LSMA-smoothed RSI
Know Sure Thing
RSI of KST
Coppock Curve
RSI of Curve
PPO
RSI of PPO
Trix
RSI of Trix
So the idea is that this is essentially multiple strategies combined into one backtestable house. Balance is calculated for all position sizes in order to try to prevent false entries that plague so many scripts (IE, you set pyramiding to 2, each buy $1000, initial balance $1000, and yet it buys two orders off the bat for $2000 total and nets 400% profit because the second was considered free)/
You tune each side and position size them so that they work together as well as you can and in doing so you are able to create a single backtest that is capable of running a bot, essentially, between multiple strategies - you can run a slower Moving Average cross, a faster SMI cross or MACD, or Bollinger that grabs big moves only, all the while having MACD trade small bonuses along the way. This way you can weight the Risk to Reward of each against eachother.
I will not try to claim this is something you can open and with no work have the best bot on the planet. This scripts intention is to take a lot of relatively common trading strategies and combine them under on roof with some risk management and the ability to weigh each against eachother.
If you are looking for a super advanced singular algorithm that tries to capture every peak and valley exactly on the dot, this is not for you. If you are looking for a tool with a high level of customizability, with a publisher who intends to update it to the best of his ability in accordance to seeking to make the best product that I personally can make for both myself and the community (because I will be using this myself of course!) that was specifically designed with the intention of performing well in spot markets by averaging low entry costs and high exit costs, this is for you! That is the exact intention here.
I do not trade margin currently, I trade spot. I am sure this script can be tuned to work on margin but this is not my intention or area so if this is you and there is something you need for margin specifically implemented, ask, because I likely don't know what you need yet.
The current backtest shown is hand-optimized by myself for BTC/USD 1hr market with NO stop loss enabled and all sales weighed to be around 0% minimum profit from the total average entry cost.
I chose to run it myself with no stop losses because Bitcoin is so bullish to me. The stop losses can still be very profitable, but not 1495% net profit. This style of automation is not for everyone as when running with no stop loss and the requirement every sale is somewhat profitable, or at least no very noticeable loss, you wind up relying on yourself to manually stop out if things crash too much and the bot has to stop trading to wait for market to go back up. The thing to do here if you are playing without a stop loss is to have your own alerts set at your fear level, a % drop in a period of time or something like that, and when you reach that point I would consider resetting the bot so it continues to take trades. I personally will accept a temporary drop in USD as long as I can keep my BTC holdings up overall as the goal should always be to have as many BTC as possible by the start and end of the bull run.
MACD 50x Leveraged Strategy Real Equity Simulation Hello, I wrote this script to merge the two scripts I shared before.
The aim here is to see the real value of the state of the capital as a result of leveraged transactions and to combine both long and short directions.
Scripts :
MACD Long 50x Leverage Strategy :
MACD Short 50x Leverage Strategy :
The parameters have not changed so they are the same as the previous two scripts:
Adding margin: Forbidden or not specified. (Add Margin : No)
Position Size : %1 (0.01) (For each trade)
Stop-Loss : %2 (For each trade)
Long : Crossover(delta,0) (Standard MACD)
Long Exit : Long Stop Level or Short Entry
(In the case of Long Stop, all trades are closed and no positions are opened in short direction.)
Short : Crossunder(delta,0) (Standard MACD)
Short Exit : Short Stop or Long Entry
(In the case of Short Stop, all trades are closed and no positions are opened in the long direction.)
NOTE :
This is a simulation made using standard parameters, showing the state of the balance in very simple rules with leveraged transactions only.
The nice thing here is the direct observation of the results by making modifications on the strategy parameters.
Regards.
JetzGiantz StrategyThe algorithm for this strategy was provided by JetzGiantz.
It creates buy and sell signals based on the close and open prices of the previous 3 bars, and compares them to the lowest low, or highest high, between the last 3 and 50 bars.
You can select the month and year you wish to backtest.
You can enter the SL and TP values.
There are no other inputs.
ak commodity gold,silver intradayHi friends this is Ak commodity gold , silver INTRADAY
It analyse price action when price makes higher high or higher low and it scalps and take profit ..It scalp on 1 min time frame..its occur in moment of time so for that algo trading require..it automatically take profit and stoploss and close trade near session end.it close all trade at 11pm..before commodity session close.. u can also change time for close trade...it automatically calculate previous candles high and low and when it breaks it generate buy and sell signal and take profit and loss
it is not holly grill strategy..it has drawdown...so before use be cauction..it calculates previous more than 200 candles high and low and than generate buy and sell signal.. its main advantage is it close all trade near session end so its more help full for intraday trader for backtesting..
if u want to use my strategy pls personal msg me
ak crude oil intradayHi friends this is Ak CRUDEOIL INTRADAY
It calculate rsi over bought and over sell from different period and generate buy and sell signale
It analyse price action when price makes higher high or higher low and it scalps and take profit ..It scalp on 1 min time frame..its occur in moment of time so for that algo trading require..it automatically take profit and stoploss and close trade near session end.it close all trade at 11pm..before commodity session close.. u can also change time for close trade...it automatically calculate previous candles high and low and when it breaks it generate buy and sell signal and take profit and loss
if u want to use this strategy pls personal message me
Self-Optimising MACD (Experimental)Hi guys, just thought I'd share a small part of an idea i've been working on.
One of the biggest problems with algo trading is optimisation and finding a way to constantly adapt to the market conditions as time unfolds.
First of all... You should NEVER EVER trade just using a MACD, including this study, and I only produced this script in a small amount of time, so make sure you backtest it properly before using it. When backtesting, it is my advice that your sample size should be at least 5000 trades, but I recommend 10000 in order to get sufficient statistical significance.
Also, I am not a financial advisor, and any trading based decisions are your sole responsibility.
Anyways...
This script is simple... it simply uses 4 different MACD's and tracks their profit/loss and automatically uses the one with the most historical profit at any given time to execute a trade. The type of MACD will obviously change as market states fluctuate.
Included are : Hull MACD, Ema MACD, Sma MACD and VWMA Macd.
You can adjust all four of their settings to your desire.
The trade execution is simple and definitely flawed... it simply tracks the MACD when it has a crossover for long, and then the opposite for short.
The green line represents the performance of the top MACD for Longs at any given time. This line refreshes once a year, and where it is in relation to price, reflects how profitable it has been I.e - the higher it is the better.
The Red line represents the performance on the Short side, and again, it reflects profit/loss, but this time the LOWER the line is in relation to price the better.
There is no exit strategy in place! This is why I do NOT recommend trading off this script alone, but to use it as a tool to help optimise your choice of MACD.
However, your exit strategy could change your optimal choice of MACD, so keep that in mind.
The lookback period represents how far the script will track the performance at any given time. This will change your results. The longer the period, the more it will show long term success and vice versa.
This optimisation process could be done with different indicators, moving averages, or even multiple strategies to find the most statistically viable option at any given time... if you wish to have this process coded into your strategies or indicators, message me.
Enjoy.
TradingView Alerts to MT4 MT5 - Forex, indices, commoditiesHowdy Algo-Traders! This example script has been created for educational purposes - to present how to use and automatically execute TradingView Alerts on real markets.
I'm posting this script today for a reason. TradingView has just released a new feature of the PineScript language - ALERT() function. Why is it important? It is finally possible to set alerts inside PineScript strategy-type script, without the need to convert the script into study-type. You may say triggering alerts straight from strategies was possible in PineScript before (since June 2020), but it had its limitations. Starting today you can attach alert to any custom event you might want to include in your PineScript code.
With the new feature, it is easier not only to execute strategies, but to maintain codebase - having to update 2 versions of the code with each single modification was... ahem... inconvenient. Moreover, the need to convert strategy into study also meant it was required to rip the code from all strategy...() calls, which carried a lot of useful information, like entry price, position size, and more, definitely influencing results calculated by strategy backtest. So the strategy without these features very likely produced different results than with them. While it was possible to convert these features into study with some advanced "coding gymnastics", it was also quite difficult to test whether those gymnastics didn't introduce serious, bankrupting bugs.
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How does this new feature work? It is really simple. On your custom events in the code like "GoLong" or "GoShort", create a string variable containing all the values you need inside your alert and this string variable will be your alert's message. Then, invoke brand new alert() function and that's it (see lines 67 onwards in the script). Set it up in CreateAlert popup and enjoy. Alerts will trigger on candle close as freq= parameter specifies. Detailed specification of the new alert() function can be found in TradingView's PineScript Reference (www.tradingview.com), but there's nothing more than message= and freq= parameters. Nothing else is needed, it is very simple. Yet powerful :)
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Alert syntax in this script is prepared to work with TradingConnector. Strategy here is not too complex, but also not the most basic one: it includes full exits, partial exits, stop-losses and it also utilizes dynamic variables calculated by the code (such as stop-loss price). This is only an example use case, because you could handle variety of other functionalities as well: conditional entries, pending entries, pyramiding, hedging, moving stop-loss to break-even, delivering alerts to multiple brokers and more.
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This script is a spin-off from my previous work, posted over a year ago here: Some comments on strategy parameters have been discussed there, but let me copy-paste most important points:
* Commission is taken into consideration.
* Slippage is intentionally left at 0. Due to shorter than 1 second delivery time of TradingConnector, slippage is practically non-existing.
* This strategy is NON-REPAINTING and uses NO TRAILING-STOP or any other feature known to be causing problems.
* The strategy was backtested on EURUSD 6h timeframe, will perform differently on other markets and timeframes.
Despite the fact this strategy seems to be still profitable, it is not guaranteed it will continue to perform well in the future. Remember the no.1 rule of backtesting - no matter how profitable and good looking a script is, it only tells about the past. There is zero guarantee the same strategy will get similar results in the future.
Full specs of TradingView alerts and how to set them up can be found here: www.tradingview.com
