[KL] Bollinger bands + RSI StrategyThis strategy is based on two of my previous scripts, one called “RSI14 + 10”; the other one called “Bollinger Bands Consolidation”. At its core, it combines the main setups from each of those two scripts but excludes the auxiliary features that were considered as experimental. This strategy will identify periods of squeeze, and then enter long during consolidation with a trailing stop loss set.
Primary indicator will be the Bollinger Bands. By comparing the width of the BBs with the ATR of the same lookback period (i.e. 2 standard deviations of the 20 recent closing prices vs ATR(20) x2), we begin to look for confirmation for entry whenever the standard deviation of prices is less than the ATR. This can be seen visually in the plots (i.e. default gray lines representing ATRx2 relative to BB center line).
Confirmation for entry will be the RSIs (slow-14, and fast-10). If both are upward sloping, then we assume prices are in an uptrend and may eventually break above upper band. RSIs are typically in mid-range when prices are consolidating, therefore no need to measure it.
Exits will happen in two cases, (1) when trailing stop loss hits, or (2) when RSIs signal that the instrument is overbought. No. 1 is self-explanatory. No. 2 happens, when RSI14 reaches above 70 (can be changed), followed by RSI10 catching up and surpassing RSI14.
Ketidakstabilan
Moving Average ScalperThe main goal of a scalping strategy is to open and close trades frequently, profiting from small gains and limiting the downside risk.
This strategy, on average, manages to close trades within one day, meaning that you are not exposed to the risk of holding that coin for long. In this way, market conditions affect much less the overall performance of the trading system.
The setup of this strategy uses four moving averages combined with an unconventional approach. On one side, the strategy aims to catch assets trading in a downtrend but on the verge of a possible reversal. Then, the goal of the trading strategy is not to ride the eventual uptrend but to close the trade with minimal profit so that it can scan the market for a new opportunity again.
ENTRY
The buy order is placed on assets that most likely are about to have at least a short-term "relief rally." To capture this setup, the strategy buys when
the MA9 crosses above the MA50
the MA50 is lower than the MA100
the MA100 is lower than the MA200
EXIT
The trading system closes the trade when the MA9 crosses above the MA200, which could be the first major resistance the asset faces before developing a more sustained uptrend.
As a reminder, the goal of the strategy is not to catch the whole upside of the asset but has a more conservative approach. This allows keeping the risk of the strategy low.
Pro tip: The 15-min time frame has proven to return the best results on average. The strategy can work well also in the 5-min time frame.
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
CRYPTO 3EMA Strategy with Take Profit & Stop Loss based on ATRSimple 3 EMA Strategy with plotted Take Profit and Stop Loss
Entry condition:
- Middle EMA cross above the Slow EMA
- Set take profit and stop loss exit conditions based on ATR Indicator
Exit condition:
- Fast EMA cross below the Middle EMA
Multiband - Market TimerThis strategy is made for market timing in the bull markets. Hence, more ideal to use it with index ETFs or high conviction large caps.
This makes use of different custom indicators:
Multi Band Channel - Overbought/Oversold Oscillator
VixFix Linear regression
Regular Linear Regression.
Multi Band Oscillator is used for identifying overbought/oversold state of the instrument. This is used in conjunction with VIXFix Linear Regression to to find market bottoms for entry conditions.
Few parameters are explained below:
CheckBandDistance - If checked checks for narrow bands and ignore signals when crossover happens in narrow bands.
ConsiderOversoldDaysCounter/ConsiderOverboughtDaysCounter - If checked, considers oversold and overbought crossovers only if instrument stays in oversold/overbought state for that many bars.
UseLinearRegressionToOpen/UseLinearRegressionToClose - If checked, combines linear regression along with overbought/oversold condition for entry and exits.
UseVixFixToOpen - Uses VixFixLinear regression to identify market bottom and this condition will be combined with oversold/overbought state. When using VixFixLinearRegression signal, we can allow generating entry signals during non crossover bars. Vix Fix Entry Range sets the max bar for multi band state to be for generating signal. For example, if Vix Fix Entry Range is set to oversold, signal is generated based on VixFix if price is below oversold.
ExitStrategy - This can be trailing/reversal or combined. If set to reversal, exit will happen on state moving out of oversold region. If set to Trailing, stop will be based on trailing stops. Indicator shows what is the present stop value. If set to combined, exit will happen on stages. 30% of the remaining position gets closed upon reversals. State may go into oversold and return back many times before having full exit. If this happens, each time, 30% of the position will be closed. Full position closure happens on hitting training stop.
Candles are colored based on linear regression.
Green -> positive and moving up
Lime -> Positive moving down
Orange -> Negative moving up
Red -> Negative moving down
Purple -> Possible VixFix peak - aka Market bottom
Another snapshot of the script along with Linear regression and VIXFix-LinReg indicators:
Related scripts are found here:
I have not put additional indicators to identify trend. But, can be combined with higher timeframe trend filters to generate better signals. Making this as invite only script as I find it very lucrative to time index ETFs. Please PM me if you want to try this script.
[TVExtBot]Volatility Breakout Strategy(BackTest)It is based on the legendary trader Larry R. Williams' volatility breakout strategy.
The volatility breakout strategy is a short-term trading strategy that realizes rapid profits on a daily basis, following the upward trend of a strong upward trend that exceeds a certain level on a daily basis.
변동성 돌파 전략이란 전설적인 트레이더 래리 윌리엄스(Larry R. Williams)의 변동성 돌파 전략을 기본으로 개발한 전략입니다.
변동성 돌파 전략은 일일 단위로 일정 수준 이상의 범위를 뛰어넘는 강한 상승세를 돌파 신호로 상승하는 추세를 따라가며 일 단위로 빠르게 수익을 실현하는 단기매매 전략입니다.
- Do not buy if the Before Day Open-Close Volatility (%) is greater than the entered value
- 전일 시가 종가의 변동성(%)은 입력하신 값보다 커면 매수진입을 하지 않도록 하는 기능입니다.
BNBUSD 1 Minute Chart / 1 Hour BBand Day Trading 3Commas*** As always, this is provided for educational purposes only and I am not an investment advisor; I'm just a guy who likes to come up with novel ideas and share them with other traders so they can learn. ***
This strategy is a fun one. I took parts of 'Bollinger Awesome Alert R1 by JustUncleL' () and modified it to have enhanced day trading functionality. This version does not show source and that is by design - I want the alerts to be visible to the public and if you want to get set up with a version that integrates with 3commas, drop me a message - there's a lot more that goes into setting up automated 3commas trading but this script was written specifically with 3commas in mind.
It's possible this is one of the more interesting strategy indicators I've made. The setup I used for this is as such and you will need to set it up the same way:
One minute chart for the BNB/USD(T) pair on Binance.us (other exchanges will likely work, other coin pairs or other time frames will likely not)
This script watches the one minute chart and when price golden crosses the lower Bollinger band, a buy order is placed.
There are two sell conditions; one I set up to take profit and one I designed as a kind of stop loss. I went with a flat 7.5% for the take profit as this showed the best results in the backtester. I had planned for it to be closer to 3% but for this strategy to work it needs to be higher. According to the backtest it offers around double the return of buying and holding BNB over the sample timeframe.
The 'stop loss' condition is where the fun lies. I transposed Bollinger bands from a one hour BNBUSD Binance.us chart on top of the 1 minute chart and those are the blue lines you see. The stop loss condition happens when the current price death crosses the bottom one hour Bollinger band. Ironically, often this doesn't result in any losses as you will see in the chart and instead results in a small win. This definitely was not my intention when I created it but it's a lot better than the earlier version where I set up a variable percentage-based stop loss. Even with me optimizing the regular stop loss for this coin pair, my 1 hour bband method nets an extra 2% profit over the same two week time period, even with Binance fees factored in!
Have fun and like I said, hmu via message if you want access to the customizable indicator for 3commas!
High Low Reversal This bot makes use of an algorithm which detects new highs and lows. When doing long trades, the bot will trigger a buy order on a newly made low. When making shorts, the bot will trigger a short trade on new highs.
Currently, the bot is optimized for cryptocurrencies on the M15 time frame. With the right amount of leverage and portfolio optimization this bot can obtain very strong results.
Feel free to optimize it to your own liking on different assets and/or time frames.
This bot performs exceptionally well in trending markets. Currently, it's only making long trades, but you can make it do short trades in the control panel.
The settings of the back test as follows:
starting capital = 100k
leverage = 1
commission = 0.2%
Equity per trade = 50%. Since the bot only makes one trade at a time you can allow it to use a bigger portion of your balance per trade.
I've also made a study-script for easy implementation on the exchange. You get that script once you get access to this bot.
[CADCHF] DinhChienFX's Predict signaltrend: crossing 2 times upper 2/lower 2 - stop/profit: 1/1 - Entry: Upper/lower 1, Entry 2: 0.66 (66%)
HH-HL/LL-LH: 15:15; ADX: 38, smooth: 9, DI: 9.
Order 1: 92 trades - 65.22% - R/R: 1/1
Order 2: 64 trades - 54.02% - R/R - 1/1.94 (fibonacci 66%)
Total 2 order: 156 trades - 59.62% - Net Profit: 201.46% - Max drawdown: 9.02%.
Commission: 4usd/trade
slippage: 2
1. Identify the trend
* On the chart:
a. Part of Dow theory: multi-trades active at the impulse waves.
Uptrend trend:
- HH / Higher High: The following peak is higher than the previous one .
- HL / Higher Low: The back bottom is higher than the previous one .
Downtrend:
- LL / Lower Low: The back bottom is lower than the previous one .
- LH / Lower High: The posterior peak is lower than the previous one
Pivot left: 15
Pivot right: 15
b. Keltner price channel:
- Uptrend: Go above Upper 2 two times
- Downtrend: Down to Lower 2 two times
* Under Chart:
ADX indicator: Used to identify a strong trend
- ADX smooth: 9
- DI: 9
- ADX = 38
2. Entry point:
- Buy: Buy limit at the Upper Keltner channel.
- Sell: Sell limit at the Lower Keltner channel.
3. Take profit, stoploss
ATR indicator (20) ( Average true range ) * 2
VixFixLinReg-StrategyThis idea came up while discussing about strategies with one of the trading enthusiast from tradingview community.
Strategy basically uses existing script of Vix Fix by Chris Moody:
VixFix is a great indicator for finding the market bottoms. But, sometimes it generates signal too early. But, we can apply linear regression on vix fix to find vix fix top to make timing much better.
Entry condition:
Wait for Vix fix bar to turn lime.
Once vix fix is turned lime, then wait for linear regression (shown below 0) to turn lime from green. This indicates VIX-Fix has started declining.
Go long once above two conditions are satisfied
Exit Condition:
ATR Based Stop
Applied only if linear regression is green - which means VixFix rising.
Note: This is ideal for identifying market bottom. May not yield good results on individual stocks.
Bollinger Blast Buy Unholy GrailThis strategy copy the Nick Radge's trading ideas for a profitable systems. He mentions a Bollinger Band idea which is also published in his book Unholy Grails. Nick says:
he strategy that we did test and showed very promising results was an entry using a Bollinger band and an exit using the opposite Bollinger band, but we use 3 standard deviations for the entry and 1 standard deviation for the exit, just to keep the trailing stop a little bit tighter.”
Entry: Buy on the Open the day after a stock closes above the top Bollinger Band
Exit: Exit on the Open the day after a stock closes below the lower Bollinger Band
Results tested on Nasdaq market are very good and better than simply buy& hold
Does your trading pass the seasonality test?Are you consistently beating the standard "Buy and Hold" benchmark?
Check your performance against the next most common strategy:
Buy at the start of the holiday season and close in the new year.
By default, the strategy starts with $100,000 and risks 25% of the account on each swing trade.
Commission is set to be 0.5% of each trade.
You can tweak the direction of trades by adjusting the first setting.
Tweak the holding period by changing the Entry and Exit months.
Red plot: Balance of account
Orange plot: Equity of account
Reversal with Bollinger Bands + RSI + ADX + ATR (Upgraded)Hi,
Welcome to my 4th script.
Someone asked me some questions about the Bollinger Band strategy I previously published. When I went back to my published script I couldn't help myself but simply try and make it better. Which I did.
Since I've published that script, I've gained much more knowledge about how Pinescript functions. As well as gaining more and more knowledge about how the markets are structered etc.
In this reversal script we use 4 indicators to determine good entry signals, we determine whether the market is ranging or trending and we still only want to take trades in the direction of the "trend".
Bollinger Bands are used for our entry signal. When price hits either side of the band, we wait for a reverse candlestick before we enter a position.
RSI is used to determine if we're in a trending market or in a ranging market. You can adjust the values in the inputs. You can determine the minimum RSI value and the maximum RSI value.
ADX is used the same way as RSI, you can adjust the value in the inputs. You can determine the minimum ADX value.
Last but not least we use two EMA's, a 200 EMA and 100 EMA. Both are adjustable through the inputs. I used two EMA's because I noticed when using this strategy that we'd enter a new position often after having a bad trade. Using two EMA's might clean up some signals, in my case with EUR/USD on a 15m timeframe, it didn't clean up enough signals.
All the default values are pretty decent but might require some finetuning on a certain instrument. Don't overfit the strategy though, that'll only give you bad signals in the future.
Then we are off to our exit signals.
Initially I wanted to incorporate my previous Bollinger Band exit signals as well, but it was too much of a hassle to make the script work as intended so I left it out. If you want to use those exit signals, just find my other script.
When we're in a position and price crosses the opposite band, we wait for a reverse candlestick before we exit the position.
Additionally we want our losses to be as small as possible, so we use RSI to signal us when the market is, or starts to, trend against us. This is where you use the minimum and maximum exit values. So when RSI crosses over or under that value, it'll exit the position.
Furthermore, we use the ATR indicator to set our stop loss, which is pretty basic stuff. You can adjust the ATR multiplier in the inputs. Disabling "Use Trailing Stop?" is really inadvisable unless you know this script inside out as your only exit signals will be opposite Bollinger Band Cross and RSI overbought / oversold areas.
[laoowai]BNB_USDT_3m_3Commas_Bollinger_MACD_RSI_StrategyBNB_USDT _3m
Release Notes:
Time: 3min
Pair: BNB_USDT
Use: {{strategy.order.alert_message}}
What's the difference with 3Commas Bollinger Strategy by tedwardd:
1. Initial capital: 1210 USDT (10$ Base order / 400$*3 Safety order), if you will change, please change JUST safety order volume or number of safety orders 2-3
2. Using just 2(3) safety order (original script 4)
3. More high-performance strategy for BNB_USDT
4. Using MACD to sell order (original script take profit by scale), thanks Drun30 .
5. Using RSI to analyze the market conditions.
Need to change:
bot_id = input(title="3Commas Bot ID", defval=" YOUR DATA ")
email_token = input(title="Bot Email Token", defval=" YOUR DATA ")
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FAQ copy from tedwardd
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This strategy is intended for use as a way of backtesting various parameters available on 3commas.
The primary inputs for the strategy are:
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// USER INPUTS
Short MA Window - The length of the Short moving average
Long MA Window - The length of the Long moving average
Upper Band Offset - The offset to use for the upper bollinger offset
Lower Band Offset - The offset to use for the lower bollinger offset
Long Stop Loss % - The stop loss percentage to test
Long Take Profit % - The Take profit percentage to test
Initial SO Deviation % - The price deviation percentage required to place to first safety order
Safety Order Vol Step % - The volume scale to test
3Commas Bot ID - (self-explanatory)
Bot Email Token - Found in the deal start message for your bot (see link in the previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match the format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT )
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Start Date, Month, Year and End Date, Month, and Year all apply to the backtesting window. By default, it will use as much data as it can give the current period select (there is less historical data available for periods below 1H) back as far as 2016 (there appears to be no historical data on Trading view much before this). If you would like to test a different period of time, just change these values accordingly.
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Composite bot using a Bollinger band type trading strategy. While its primary intention is to provide users a way of backtesting bot parameters, it can also be used to trigger a deal start by either using the {{strategy.order.alert_message}} field in your alert and providing the bot details in the configuration screen for the strategy or by including the usual deal start message provided by 3commas.
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Original script:
1. 3Commas Bollinger Strategy by tedwardd
2. Momentum Strategy ( BTC /USDT; 1h) - MACD (with source code) by Drun30
[KL] Bollinger Bands Consolidation StrategyThis strategy will enter into long position based on the volatility of prices implied by indicators of (a) Bollinger bands, and (b) ATR.
Application of Bollinger bands ("BOLL")
Using plain vanilla settings for BOLL (i.e. 20 period moving average, and 2 standard deviations of closing prices), we are interested to know about the shape of the area that is bounded by the upper and lower bands.
In theory, consolidation happens when volatility of price decreases. Visually speaking, this is represented by the narrowing of the upper/lower bands. This strategy considers the narrowing of BOLL bands as the primary indicator for long-entry.
Application of ATRs (as confirmations)
Firstly, to confirm that BOLL bands are narrowing (as mentioned above), the ATR at a potential point of entry is compared against the standard deviation of prices over BOLL's lookback periods. Once again, visualizing the shape of BOLL bands during consolidation, we assume the lines begin to squeeze when the distance between the center line and upper/lower band is less than two current ATRs.
Secondly, this strategy looks into the moving average of ATRs to assure that prices are not too choppy when entering into market. If the moving average of ATR decreases at a point in time such that all the above conditions are met, then we can assert that the volatility of price is decreasing.
Thirdly, ATR is used for determining the size of our trailing stop loss. We will keep the multiplier fixed at two.
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.
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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.
VWAP-Bollinger BandsThis script uses Bollinger bands but with a VWAP as the source, it uses the high crossing the upper band as a buy signal and a low crossing the lower band as a sell signal
Its default settings are for a day chart - Crypto 30 periods, forex 24 periods and stocks 20 periods, which basically line up with a month per asset class
ive seen good results in crypto and stocks, settings used between1% and 10% equity per trade with a 0.1% fee which lines up with Binance fee structure and $25 per trade which lines up with Commsec on the ASX
Donchian Channel - trend filterStrategy based on Donchian Trend filter indicator:
Which in turn is derived from custom Donchian Channel indicator:
Few extra paremters added:
EntryType
Breakout : Entry on first confirmation of trend.
Pullback : After confirmation of trend, wait till price comes back to mid band before entry.
Combined : Prefer pullback entry. But, if price breaks higher band more often, then go long on breakout. Parameter EntryBreakoutStrength + TrendCountLimit is used for measuring repeated breakout and possibility of not getting pullback signal.
ExitType
Reversal : Exit upon complete trend reversal
Choppy : Exit when trend becomes neutral and candles are colored in silver
Midband : Exit when price hits midband. Please note, this option should not be used in conjunction with EntryType - Pullback or Combined
Combined : Uses UpCount / DownCount along with ExitMidBandRange and ExitChoppyRange values to determine where to exit. High UpCount or DownCount means, instrument has trended for long - in this case early exit is favourable. If TrendCount is higher than ExitMidBandRange, then exit upon touching MidBand. If TrendCount is higher than ExitChoppyRange, then exit when trend becomes choppy. If not, wait till reversal.
Crypto Fox ANN Strategy No RepaintHello traders
This is (( sirolf's ANN Strategy )) i updated it to (( No Repaint Version )) and it still have very good results
The new in strategy : -
1 - The strategy is no repaint now in any time frame
2- Now Strategy have two time frames which make you control strategy in entry and exit positions and you can change it as you want .
3 - Added Back Test range to check Back test results
4 - Strategy is working in 10 % of equity and you can change it as you want .
5- I recommended so much working in 5 min time frame and 15 min time frame to get the best results
but in the same time the strategy is working in all time frames this just my advice for traders
6- I recommend so much using take profit and stop loss to avoid huge movements in markets
Bollinger Bands strategy with RSI and MACD v1.0 This is a strategy based on the Bollinger Bands, where buy trades are made when the price crosses the lower line of the Bollinger Bands upwards, and sell trades are made when the price crosses the upper line downwards.
In addition, it is possible through the inputs to enable trading with RSI and MACD, so that buy or sell trades are supported by these two indicators.
Trades are partially and fully closed in the following way, a buy trade will close half of the position when the price touches the middle line of the Bollinger bands and will be fully closed when the price touches the upper band. In the case of a sell position, half of the position will be closed if the price touches the middle band and the entire position will be closed when the price touches the lower band. Alternatively, a fixed take profit can be placed. In case the price moves against us, trailing stops can be placed.
In case of selecting to use RSI, MACD, or MACD variation, trades will be executed as long as The Bollinger Bands, and all the above-mentioned indicators give the same signals, either buy or sell.
For example in the case of selecting only Use RSI, buy trades would be made as long as RSI and BB give buy signals.
Strategy inputs:
-BB source: Bollinger Bands price source.
-Bollinger Bands SMA length: Bollinger Bands simple moving average length.
-Bollinger Bands StdDev length: Bollinger Bands standard deviation length.
-Trail Long Loss (%): Distance in percentage at which the stop loss will initially be placed for buy trades.
-Trail Short Loss (%): Distance in percentage at which the stop loss will be initially placed for sell trades.
-Maximum orders: Maximum of simultaneous operations, for example, if it is 3, up to 3 parallel operations of buy and up to 3 parallel operations of sell will be carried out.
-Position size: Number of contracts per trade.
-Use RSI: If selected, the strategy will also trade based on oversold or overbought signals provided by the RSI.
-RSI source: RSI price source.
-RSI period: The RSI period to use.
-RSI value for buy: If the RSI is below this value, it will give a buy signal.
-RSI value for sell: If the RSI value is above this value, it will give a sell signal.
-Use MACD: If selected, buy trades will be made when the MACD crosses 0 upwards, and sell trades will be made when the MACD crosses 0 downwards.
-Use MACD variation: Only available if MACD is previously selected. In this case, buy trades are made if the MACD value in the last 3 candles has been decreasing, and sell trades are made if the MACD value has been increasing.
-MACD source: MACD price source.
-MACD fast length: MACD fast EMA lenght.
-MACD slow length: MACD slow EMA lenght.
-MACD signal length: MACD signal EMA lenght.
-Use maximum TP long: If selected, a fixed take profit will be placed for buy trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit long (%): Distance in percentage at which the take profit will be placed for buy trades.
-Use maximum TP short: if selected, a fixed take profit will be placed for sell trades. The position could be closed before reaching this take profit if the price touches one of the lower or upper lines first.
-Maximum take profit short (%): Distance in percentage at which the take profit will be set for sell trades.
I hope you like it and as always all feedback is welcome.
CRYPTOOOFOX (Scalping System)---DESCRIPTION---
How Strategy Work :
--This strategy is for scalping and also using confirmation when higher > highest time frame .
--The main indicator in this strategy is built on movement high and low so this indicator is belong to
the chart price and movement and you can make profit in any chart as you want
--Strategy is working on higher time frame so i use two high time frames .
the higher is ( 8 H ) and the highest is ( Daily ) Time frame .
-- When the higher time frame cross over the Daily time frame( the Highest ) this mean
the TREND and the PRICE also going UP this strategy is going to start working between the high and low buy in low .
-- When the higher time frame cross under Daily time frame( the Highest ) this mean the TREND and
the PRICE also going down and it will sell in high ( close position ) .
--Strategy is working only in Long position i am not recommend to use it in short positions .
--THIS IS NO REPAINT STRATEGY .
--This strategy is working in 10 % of equity and you can change it as you want .
--I recommend so mush to use 5 min time frame for low draw down
--I recommend so mush to use take profit and stop loss although the low draw down but some time
the market have a huge movements .
--This strategy have setting of movement for every chart and every price and movement so i will
comment the settings for every chart in forex and crypto and also stock markets
Cyatophilum Bands Definitive Edition█ OVERVIEW
A Swing Trade indicator providing backtest and alerts which can be used as a long, short or reversal strategy.
Its main goal is to catch breakouts and huge moves, and to try and beat the Buy & Hold Return.
█ CONCEPTS
The strategy consists of a unique custom indicator that works like this:
A Smoothed Donchian Channel combined with a consolidation check will trigger an entry.
The entry is then guided by a faster channel used as a trailing stop.
█ HOW TO USE
The most effective way to use this indicator is on high timeframes, from 2H to 1D.
The recommended pairs are trending pairs with consolidation areas. Yes, I'm especially looking at crypto.
The first appproach would be to catch long and short breakouts, and ride the trend using the trailing stop.
Adjust the Bands wisely to trigger entries at the right time.
The second approach is to go longs only, and try to beat the Buy & Hold return.
For this, click "Go long" and use an order size of 100% equity. Then adjust the Bands, trailing stop and chart timeframe.
The Buy & Hold comparator will come handy when backtesting.
█ INDICATOR SETTINGS
Strategy Direction
Choose wether to go long only, short only or both directions.
Bands Configuration
The bands lookback, smoothing and consolidation % are used to change the behavior of the bands. More info in the settings tooltips.
Trailing Stop
The "speed" of the trailing stop can be configured, allowing more or less room for the price to move before exiting.
Volume Condition
In addition to the consolidation condition, you can add a volume check to your entry. Is the volume rising or not? Useful in most scenarios.
Exit Alert Type
If you want to receive alerts during bars or prefer to ignore wicks.
Backtest Settings
This is where you choose the backtest period which is also used to calculate the B&H return.
Graphics
The configuration panel with all the indicator settings backtest info.
The buy & Hold Comparator is an additional panel that turns green when the strategy's return is greater than the Buy & Hold return.
Note: The Strategy Return is the strategy netprofit + the strategy openprofit.
█ ALERTS
Configure your alert messages for all events in the indicator settings.
Then click "Add Alert". In the popup window, select the option "alert() function calls only", give the alert a name and you are good to go!
█ BACKTEST RESULTS
The backtest settings used in this snapshot are the following:
Initial Capital: 10 000$
Order size: 100% equity (It indeed compounds and this is intended since the main goal of the strategy is to compare to Buy & Hold return)
Commission: 0.1%
Slippage : 10 ticks
The Indicator settings used for this are shown in the main chart above.
ATR trailing Stop Loss tight to slack [Takazudo]This is a demo of ATR based trailing Stop Loss.
This SL strategy uses 2 types of ATR based SL.
tight SL as initial (ATR * 1.5)
slack SL as trailing (ATR * 4)
When any entry singal occurs by the buy/sell conditions, this SL strategy uses the "tight SL" as the initial SL.
Then the SL will chase the price as trailing SL. However, this strategy uses the "slack SL" in this trailing phase.
So you can set the tight SL first.
Then SL will chase the price as the slack one.
Note: The entry strategy in this script is not intented to win. Check the result. Be careful. Just a module of my strategy.
Full strategy Psar+ adx + cmf + rsi This ia full strategy made with a combination of a trender, volume, volatility and oscillator.
In this case we only go long.
Indicators used:
Default PSAR
Default CMF
Modified RSI logic, not using OB/OS
ADX with EMA applied
The rules are : we check if we are in a uptrend on psar, together with a positive value in volume, rsi is above the middle line(50), using a big length, and lastly the ADx is superior to the ema ADx
For exit, we check the opposite, like downtrend psar, negative value volume, rsi < 50, and adx < ema adx
If you have any questions let me know.
