[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.
Volatility
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
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.
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.
ATR with EOM and VORTEXThis is a strategy, designed for long trends for stock and crypto market.
Its made of ATR for volatility, EOM for volume and VORTEX for the trend direction.
In this case on the ATR, I applied an EMA to check if current position is above the EMA -> bull trend, below ema -> bear trend
For EOM I am using the positive and negative value scale, if its positive we are in a bull movement, otherwise a bear movement.
Lastly for VORTEX, I took the min and max, and made an average, after that I am using the average and compare it with 1 value. Above 1 -> bull, belowe 1-> bear.
This strategy only goes long.
If you have any questions, let me know.
Bollinger DCA v1Simple "benchmark" strategy for ETFs, Stocks and Crypto! Super-easy to implement for beginners, a BTD (buy-the-dip) strategy means that you buy a fixed amount of an ETF / Stock / Crypto every time it falls. For instance, to BTD the S&P 500 ( SPY ), you could purchase $500 USD each time the price falls. Assuming the macro-economic conditions of the underlying country remain favourable, BTD strategies will result in capital gains over a period of many years, e.g. 10 years.
Recommended Chart Settings:
Asset Class: ETF / Stocks / Crypto
Time Frame: H1 (Hourly) / D1 (Daily) / W1 (Weekly) / M1 (Monthly)
Necessary ETF Macro Conditions:
1. Country must have healthy demographics, good ratio of young > old
2. Country population must be increasing
3. Country must be experiencing price-inflation
Necessary Stock Conditions:
1. Growing revenue
2. Growing net income
3. Consistent net margins
4. Higher gross/net profit margin compared to its peers in the industry
5. Growing share holders equity
6. Current ratios > 1
7. Debt to equity ratio (compare to peers )
8. Debt servicing ratio < 30%
9. Wide economic moat
10. Products and services used daily, and will stay relevant for at least 1 decade
Necessary Crypto Conditions:
1. Honest founders
2. Competent technical co-founders
3. Fair or non-existent pre-mine
4. Solid marketing and PR
5. Legitimate use-cases / adoption
Default Robot Settings:
Contribution (USD): $500
When: Dips below lower Bollinger Band
*Robot buys $500 worth of ETF , Stock, Crypto, every time price falls below the lower Bollinger Band
*Equity curve can be seen from the bottom panel*
Risk Warning:
This strategy is low-risk, however it assumes you have a long time horizon of at least 5 to 10 years. The longer your holding-period, the better your returns. The only thing the user has to keep-in-mind are the macro-economic conditions as stated above. If unsure, please stick to ETFs rather than buying individual stocks or cryptocurrencies.
RSI Trend CryptoDear community,
Today I want to present you one of my favorite and simple trading bots: The RSI Trend.
This bot is based on the RSI, which normally is used as a trend reversal indicator. However, here it’s used as a trend finding indicator, often with great success. This bot making long-only trades, which is quite successful in bull-markets like the one we’re currently in.
In case you want to use an emergency exit for your trade, toggle the Emergency Exit parameter. During bull-markets it’s better in the long term to keep this option off.
Currently the bot only makes one trade at a time (pyramiding = 1), for higher risk and higher rewards you can increase this parameter. More than 5 is not advised.
I’ve optimized this bot on 15min time frame. It has some decent results for most cryptos on this TF, feel free to test this out.
In case you want to hook this bot up to your exchange, feel free to edit the ALERT messages in the code.
Default Trading Rules:
Long: RSI crosses over 35
Close Long: RSI crosses under 75
Emergency Exit: RSI crosses under 10
Trend Surfers - Premium Breakout + AlertsTrend Surfers - Premium Breakout Strategy with Alerts
I am happy today to release the first free Trend Surfers complete Breakout Strategy!
The strategy includes:
Entry for Long and Short
Stoploss
Position Size
Exit Signal
Risk Management Feature
How the strategy works
This is a Trend Following strategy. The strategy will have drawdowns, but they will be way smaller than what you would go through with buy and old.
As a Trend Following strategy, we will buy on strength, when a breakout occurs. And sell on weakness.
The strategy includes a FIX Stoploss determined by an ATR multiple and a trailing Stoploss/Takeprofit also determined by an ATR multiple.
You can also manage your risk by entering the maximum % you are willing to risk on every trade. Additionally, there is an option to enter how many pairs you will be trading with the strategy. This will change your position size in order to make sure that you have enough funds to trade all your favorite pairs.
Use the strategy with alerts
This strategy is alert-ready. All you have to do is:
Go on a pair you would like to trade
Create an alert
Select the strategy as a Trigger
Wait for new orders to be sent to you
Every Entry (Long/Short) will include:
Market Entry (Enter position NOW!)
Stoploss price
Position Size
Leverage
* If you do not wish to use leverage, you can multiply the Position Size by the Leverage. But doing that, you might end up with a position greater than your equity. Trading on Futures is better in order to have accurate risk management.
Exit signals:
When you receive an exit signal, you need to close the position ASAP. If you want to keep your results as close as possible to the backtest results, you need to execute quickly and follow what the strategy is telling you.
Do not try to outsmart the strategy
Leave your emotion out of trading! If you trust the strategy, you will have way better returns than if you try to outsmart it. Follow each signal you receive even if it doesn't seem logical at the moment.
Become a machine that executes. Don't look at fundamentals. Follow the trend! Trust the strategy!
I hope you enjoy it!
Buying Dip Strategy With Take Profit And Stop Loss [racer8]"Buy low, sell high."
This system buys the dip and takes profit for a high win rate.
It uses an ATR take profit and ATR stop loss.
It buys the dip when the close is below the previous 7 day low.
Daily timeframe is best.
Enjoy ♡
Fixed price Stop Loss [Takazudo]This strategy is a demo for fixed price stop loss.
This strategy enables you to specify fixed price stop loss. Let's say your deposit is USD. When you trade EURCAD, you need to specify the quantity for trade. Here comes three chances for trade.
A: SL pips: 500
B: SL pips: 200
C: SL pips: 100
In these trade, the risk is different for each. ABC risk ratio is 5:2:1. And, you cannot know how much to lose if the price hits the stop loss. This is a huge problem.
With this strategy, You can specify the fixed risk price for each trade. If you specify 100 USD for the risk, this strategy calculates how much quantity to buy or sell for each entry. In the case above, this strategy guides you how much quantity to buy or sell like below.
A: 2,000 qty (SL: 500pips)
B: 5,000 qty (SL: 200pips)
C: 10,000 qty (SL: 100pips)
If you make entries with those quantity and the price hits the stop loss, You will lose the money like below.
A: 100 USD
B: 100 USD
C: 100 USD
This is what this script does. Fixed price SL.
I tested this caliculation for OANDA's main 28 currency pairs forex listed below.
AUDUSD, EURUSD, GBPUSD, NZDUSD, USDCAD, USDCHF, USDJPY, AUDCAD, AUDCHF, AUDJPY, AUDNZD, CADCHF, CADJPY, CHFJPY, EURAUD, EURCAD, EURCHF, EURGBP, EURJPY, EURNZD, GBPAUD, GBPCAD, GBPCHF, GBPJPY, GBPNZD, NZDCAD, NZDCHF, NZDJPY
I may add more pairs later.
Note: The entry strategy in this script is not intented to win. Check the result. Be careful.
Scalping Dips On Trend (by Coinrule)Coinrule's Community is an excellent source of inspiration for our trading strategies.
In these months of Bull Market, our traders opted mostly on buy-the-dips strategies, which resulted in great returns recently. But there has been an element that turned out to be the cause for deep division among the Community.
Is it advisable or not to use a stop-loss during a Bull Market?
This strategy comes with a large stop-loss to offer a safer alternative for those that are not used to trade with a downside protection.
Entry
The strategy buys only when the price is above the Moving Average 50 , making it less risky to buy the dip, which is set to 2%.
The preferred time frame is 1-hour.
The stop-loss is set to be quite loose to increase the chances of closing the trade in profit, yet protecting from unexpected larger drawdowns that could undermine the allocation's liquidity.
Exit
Stop loss: 10%
Take Profit: 3%
In times of Bull Market, such a trading system has a very high percentage of trades closed in profit (ranging between 70% to 80%), which makes it still overall profitable to have a stop-loss three times larger than the take profit.
Pro tip: use a larger stop-loss only when you expect to close in profit most of the trades!
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.
Bollinger Bands Trending Reverse StrategyWelcome to yet another script. This script was a lot easier since I was stuck for so long on the Donchian Channels one and learned so much from that one that I could use in this one.
This code should be a lot cleaner compared to the Donchian Channels, but we'll leave that up to the pro's.
This strategy has two entry signals, long = when price hits lower band, while above EMA, previous candle was bearish and current candle is bullish.
Short = when price hits upper band, while below EMA, previous candle was bullish and current candle is bearish.
Take profits are the opposite side's band(lower band for long signals, upper band for short signals). This means our take profit price will change per bar.
Our stop loss doesn't change, it's the difference between entry price and the take profit target divided by the input risk reward.
3Commas Bollinger StrategyThis strategy is intended for use as a way of backtesting various parameters available on 3commas.io composite bot using a bollinger band type trading strategy. While it's 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.open.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. You can find more information about how to do this from help.3commas.io
The primary inputs for the strategy are:
// 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 previous section for details)
3Commas Bot Trading Pair - The pair to include for composite bot start deals (should match format of 3commas, not TradingView IE. USDT_BTC not BTCUSDT)
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 given 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.
Known Issues
Currently there are a couple of issues with this strategy that you should be aware of. I may fix them at some point in the future but they don't really bug me so this is more for informational purposes than a promise that they may one day be fixed.
Does not test trailing take profit
Number of safety orders and Safety Order Step Scale are currently not user configurable (must edit source code)
Using the user configuration to generate deal start message assumes you are triggering a composite bot, not a simple bot.
Donchian Channels Trending Breakout StrategyThis script looks for two entry signals. Long is when the previous breakout of the donchian channels was a low, price is above the input EMA, current price is equal or higher than the upper band and we're not in a position yet. Short is the other way around, so previous breakout of the donchian channels was a high, price is below the input EMA, current price is equal or lower than the lower band.
I haven't found a script that does take the previous highs and lows into consideration. Works for any markets in any conditions because the stop loss and profit targets are based on the upper and lower band of the donchian channels, which means the stop loss and profit targets move with the trend.
For more details see the script itself, I wrote a ton of comments.
Volume AdvancedI have found out this script some time ago. In fact it is not my code (just have modified a little) and I don't know the author (couldn't find). So now I would like to share with the community, maybe somebody would have some idea how to make it better. The script itself is modified volatility oscillator (like ATR) based on volume, making a deal at the moment of price change. To recognize the current trend I have add simple function just to compare the current price with the N bars before, because sometimes in moments of high volatility there may be wrong signals.
RSI w MA StrategyThis strategy is mostly for cryptocurrencies, it applies a moving average to an rsi and trades based on the crossings. It includes the indicator that it is made from.
HiLo Extension This Strategy is finding high and low breaks of the day and enter into the trader based on RSI value and time value
1) This strategy is created for Indian Index like Nifty, Bank Nifty and so...
2) Trades are initiate only after 10:15 AM and before 3:10PM
3) High and Low of the day break will be check during the above time frame
4) RSI value will be check (RSI 50)
5) and trade will be initiate
6) Stop loss set as vwma 20...
Note: This Script will work fine in Index future chart not index spot chart...
This is just my idea only... Please back test yourselve, before using it..
Your comments are welcome!
MACD Crossover trend strategy, Long and ShortHey everybody,
This is my first strategy and script I wrote mostly myself. There's tons of content out there to learn how to code in Pinescript and it's exactly what I wanted and needed in this time of my life.
In any case, I made a rather simple MACD crossover strategy that only takes trades in the direction of both EMA and SMA (there are inputs to change the length of the moving averages and lots of other stuff too).
If the MACD line crosses upwards on the signal line, while above the zero point of the histogram and the price is above EMA + SMA , it's a long signal.
If the MACD line cosses downards on the signal line, while below zero on the histogram and the price is below EMA + SMA , it's a short signal.
There are a lot of default variables that make no sense, for basically any symbol you're going to be looking at. You're going to have to adjust the EMA , SMA , backtest date, take profit, stop loss and all that good stuff yourself to find decently profitable parameters.
I made this myself because I couldn't really find a strategy out there that allowed for so much customizing and it's an easy way to get started in Pinescript.
If you have any suggestions, tips or you see a flatout mistake in my code, please let me know. I'm still learning, everyday and I'm enjoying every second of it.
[KL] BOLL + MACD Strategy v2 (published)This strategy will look for opportunities when price touches the lower Bollinger band, then enters Long when it anticipates a MACD crossover signal.
Setup: on 1-day chart interval
Exits when either (a) hitting trailing stop loss, or (b) meeting risk-to-reward, if defined by user.
Risk Reduction Ultimate TemplateThis is a template not actually meant for trading. I picked two random oscillators. This is a template meant to turn into a live trading strategy, however.
It's literally just a specialized take profit/stop loss system. It is to ensure your bot doesn't make any bad moves that you wouldn't have manually. The code should be pretty well annotated. Putting this into my scripts has made them much better. I will work on a Multiple Trigger template next.
