AlphaTrend StrategyI turned the Alpha Trend indicator coded by our teacher Kıvanç Özbilgiç into a strategy. You can find the original version of the indicator here.
It sends trading signals in the regions where AlphaTrend produces Buy and Sell signals. It is a two-way strategy.
Buy Entry Long opens trade, Sell Entry Short opens trade.
Volatilidad
Boom Hunter + Hull Suite + Volatility Oscillator StrategyTRADE CONDITIONS
Long entry:
Boom Hunter (leading indicator): Trigger line crosses over Quotient 2 line (white cross over red)
Hull Suite (trend confirmation): Price closed above hull suite line and hull suite is green (represented by horizontal line at -10 in strategy pane)
Volatility Oscillator (volatility confirmation): Volatility spike trigger line is above upper band (represented by horizontal line at -30 in strategy pane)
Short entry:
Boom Hunter (leading indicator): Trigger line crosses under Quotient 2 line (white cross under red)
Hull Suite (trend confirmation): Price closed below hull suite line and hull suite is red (represented by horizontal line at -10 in strategy pane)
Volatility Oscillator (volatility confirmation): Volatility spike trigger line is below lower band (represented by horizontal line at -30 in strategy pane)
Risk management:
Each trade risks 3% of account (configurable in settings)
SL size determined by swing low/high of previous X candles (configurable in settings) or 1 ATR if swing is less than 1 ATR
TP is calculated by Risk:Reward ratio (configurable in settings)
TIPS
Timeframe: I have found good results running on BTC/USDT 5M chart
Note: To help visual identification of trade entries and exits you may wish to add the Hull Suite and Volatility Oscillator to the chart separately. It was not possible to display them in a clear way within a single panel for the strategy. Make sure you set the settings of the auxiliary indicators to match what is in the settings of this indicator if you do decide to add them.
CREDITS
Boom Hunter Pro by veryfid
Hull Suite by InSilico
Volatility Oscillator by veryfid
Steven Primo's bollinger bands strategyHi, this strategy is taken from a video made by Steven Primo. You can look it up on YouTube if you want to know about it.
It is a mean-reversion strategy based on the Bollinger Bands, in which we wait for 5 consecutive closes above the upper band, and for a short-term top. Once it happens, we place an entry order on this top, with a stop at the nearest bottom before the movement started, and use the difference from the stop and entry point to determine the target. For shorting, it's the same process, but for the downside. From my testing, only long orders were profitable, but you can configure whichever you want.
It works well for directional markets with a low level of noise, as you can see with the BTCUSD chart. One of its caveats is the short number of occurrences, and the long stop loss and target. You can enable a trailing stop, but from my testings, it just made the results worse.
I made some modifications, like removing the MA requirement, since the entry point was above it almost all the time, and I forced the BB to use a log version of the prices, so that discrepancies are eliminated. You'll also notice that you can't select an extension that is lower than 100, and that is intentional, since you're not supposed to enter a trade in which you can lose more than what you can earn.
I chose not to implement any kind of risk management, but I might do that in the future. You can leave your suggestions in the comments.
[TH] Volatility BreakoutVolatility Breakout Strategy for TradingHook.
This strategy is not for backtesting but for forward-testing starting when added to chart.
It can make and send a formatted message string for buy and sell order using alert.
Straight Trend V1Hello everyone,
We are proud to present you our "Straight Trend" Strategy.
Strategy is use a specified timeline's opening price as reference and draw a line between the current price and trend line.
Trend line is smoothed with last X times of highest and lowest values ( Donchian Methodology) in order to create less noise and fake alerts , therefore creates a channel of current prices time based opening price.
The timeline can be adjusted according to your specifications in the settings.
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Why opening price ?
We are traders ,no matter what we do ,we always make a benchmark at the end of a day , week or at the end of a specified time line.
Example :
X commodity's price increased %15 in last days or Y commodity's price dropped %30 in last 2 weeks etc. etc.
Thats why the opening price have a hidden and much more important role in our trading sessions.
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After the channel is created we remove the unnecessary lines from our output by filtering the direction with closing price.
IF the closing price is higher than Chanel reference price and direction goes upward the script gives you a BUY signal.
The same methodology is applied for SELL operations.
When to Take Profit?
We put a setting for profit percentage in scripts setting you can adjust the ratio as your choices.
When to Stop Loss or change direction of the trade?
The Straight Trends previously mentioned channel's inverse line was set as STOP LOSS and direction changer in the strategy with "STR-X" Marker.
Note : Strategy is much more effective with heikin-ashi bars due methodology of heikin ashi and with this bars it creates less signals with more accuracy, use at your own discretion.
Please don't hesitate to write us if you need support or assistance, we also appreciate your feedbacks.
Please be advised that this strategy is published with Educational Purposes and it is not a investment advice.
Thank you in advance.
Sideways Strategy DMI + Bollinger Bands (by Coinrule)Markets don’t always trade in a clear direction. At a closer look, most of the time, they move sideways. Relying on trend-following strategies all the time can thus lead to repeated false signals in such conditions.
However, before you can safely trade sideways, you have to identify the most suitable market conditions.
The main features of such strategies are:
Short-term trades, with quick entries and quick exits
Slightly contrarian and mean-reversionary
Require some indicator that tells you it’s a sideways market
This Sideways DMI + Bollinger Bands strategy incorporates such features to bring you a profitable alternative when the regular trend-following systems stop working.
ENTRY
1. The trading system requires confirmation for a sideways market from the Directional Movement Index (DMI) before you can start opening any trades. For this purpose, the strategy uses the absolute difference between positive and negative DMI, which must be lower than 20.
2. To pick the right moment to buy, the strategy looks at the Bollinger Bands (BB). It enters the trade when the price crosses over the lower BB.
EXIT
The strategy then exits when the move has been exhausted. Generally, in sideways markets, the price should revert lower. The position is closed when the price crosses back down below the upper BB.
The best time frame for this strategy based on our backtest is the 1-hr. Shorter timeframes can also work well on certain coins that are more volatile and trade sideways more often. However, as expected, these exhibit larger volatility in their returns. In general, this approach suits medium timeframes. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Parabolic SAR Heikin Ashi MTF Candle ScalperThis is scalper strategy designed around parabolic sar indicator, where as an input candle value it uses the heikinashi from a higher timeframe.
This example has been adapted to SPY/SPX chart
In this case ,we are using a 5 min chart, but the calculations are made on a 15 min heikin ashi chart for the PSAR and then on 5 min chart we plot the results.
At the same time we are conditioning the entry to be base on a time/session for daytrading/scalper mentality
In this case we only enter within the first 30 min of SPY opening session , and then we exit after 3-4 hours of staying in the position ( unless we hit a reverse condition).
For long condition we enter when the mtf ha candle close is above the mtf psar and for short condition we enter when the mtf ha candle close is below the mtf psar
This script is made with an educational purpose to show the power of multiple time frame approach compared to a single chart.
If you have any questions, let me know !
Supertrend with TP by Furkan SancuSimple Supertrend strategy with Take Profit levels.
Note: Make sure TP amounts add up to 100.
Opens a position with Supertrends strategy then adds Take Profit points with certain amounts of current position.
Big Snapper Alerts R3.0 + Chaiking Volatility condition + TP RSI//@version=5
//
// Bannos
// #NotTradingAdvice #DYOR
// Disclaimer.
// I AM NOT A FINANCIAL ADVISOR.
// THESE IDEAS ARE NOT ADVICE AND ARE FOR EDUCATION PURPOSES ONLY.
// ALWAYS DO YOUR OWN RESEARCH
//
// Author: Adaptation from JustUncleL Big Snapper by Bannos
// Date: May-2022
// Version: R1.0
//Description of this addon - Script using several new conditions to give Long/short and SL levels which was not proposed in the Big Snapper strategy "Big Snapper Alerts R3.0"
//"
//This strategy is based on the use of the Big Snapper outputs from the JustUncleL script and the addition of several conditions to define filtered conditions selecting signal synchrones with a trend and a rise of the volatility.
//Also the strategy proposes to define proportional stop losses and dynamic Take profit using an RSI strategy.
// After delivering the temporary ong/short signal and ploting a green or purple signal, several conditions are defined to consider a Signal is Long or short.
//Let s take the long signal as example(this is the same process with the opposite values for a short).
//step 1 - Long Definition:
// Snapper long signal stored in the buffer variable Longbuffer to say that in a close future, we could have all conditions for a long
// Now we need some conditions to combine with it:
//the second one is to be over the Ma_medium(55)
//and because this is not selective enough, the third one is a Volatility indicator "Chaikin Volatility" indicator giving an indication about the volatility of the price compared to the 10 last values
// -> Using the volatility indicator gives the possibility to increase the potential rise if the volatility is higher compared to the last periods.
//With these 3 signals, we get a robust indication about a potential long signal which is then stored in the variable "Longe"
//Now we have a long signal and can give a long signal with its Stop Loss
// The Long Signal is automatically given as the 3 conditions above are satisfied.
// The Stop loss is a function of the last Candle sizes giving a stop below the 70% of the overall candle which can be assimilated to a Fibonacci level. Below this level it makes sense to stop the trade as the chance to recover the complete Candle is more than 60%
//Now we are in an open Long and can use all the mentioned Stop loss condition but still need a Take Profit condition
//The take profit condition is based on a RSI strategy consisting in taking profit as soon as the RSI come back from the overbought area (which is here defined as a rsi over 70) and reaching the 63.5 level to trigger the Take Profit
//This TP condition is only active when Long is active and when an entry value as been defined.
//Entry and SL level appreas as soon as a Long or short arrow signal does appears. The Take profit will be conidtioned to the RSI.
//The final step in the cycle is a reinitialization of all the values giving the possibility to detect and treat any long new signal coming from the Big Snapper signal.
QQE MOD + SSL Hybrid + Waddah Attar ExplosionTRADE CONDITIONS
Long entry:
QQE Mod changes to Blue (leading indicator)
SSL Hybrid is Blue and price is above MA Channel line
Waddah Attar Explosion is Green and above Explosion line
Short entry:
QQE Mod changes to Red (leading indicator)
SSL Hybrid is Red and price is below MA Channel line
Waddah Attar Explosion is Red and above Explosion line
Risk management:
Each trade risks 2% of account (configurable in settings)
SL size determined by swing low/high of previous X candles (configurable in settings)
TP is triggered on SSL Hybrid EXIT arrow signals
TIPS
Timeframe: Personally I've found best results running this on 1H timeframe.
Note: To help visual identification of trade entries and exits you may wish to add the SSL Hybrid and Waddah Attar Explosion to the chart separately. They are being used to determine trade entry/exit within the code of this strategy but it was not possible to display them in a clear way within a single panel. Make sure you set the settings of the auxiliary indicators to match what is in the settings of this indicator if you do decide to add them.
CREDITS
QQE MOD byMihkel00
SSL Hybrid by Mihkel00
Waddah Attar Explosion by shayankm
BB + RSI double strategy developeI'm Korean, and it may not be enough to explain this script in English. I feel sorry for the users of TradingView for this lack of English skills. If you are Korean, please return it to the translator using Papago. It will be a useful manual for you.
This script referenced Chartart's Double Strategy. But there are some changes in his script.
0. Basically, when you break through the top or bottom of the 100th period balliser band and come back into the band, you track the overbuying and overselling of the RSI to determine your position entry. The order is triggered only when both conditions are satisfied at the same time. However, only one condition applies to clearing the position. This is because it is most effective in reducing risk and increasing assets in terms of profit and loss.
1. This script is optimized for 15 minutes of bitcoin futures chart and API via webbook alert. By default, 10x leverage usage and 10 pyramids are applied.
2. Setting a chart period other than 15 minutes will not guarantee sufficient effectiveness. It can also be applied to Ethereum , but it is not recommended to apply to other symbols.
3. I added Enable Date Filter because Chartart's script could not apply the strategy to the user's desired period. This feature allows you to set a period of time when you do not want to use the strategy. You can also uncheck it if you don't want to fully use this feature. Please remember that it is an exclusion period, not a usage period. With this feature, we can see the effectiveness of the strategy from a point in time, not from the entire period. You can also clearly differentiate the effectiveness of the strategy from the point you use it.
4. You can also stop using strategies at certain times of the day when you don't want to apply them. This works similarly to the Enalbe Date Filter described above. This allows you to sleep comfortably even if you don't fully trust this strategy.
5. The period, overbuying, and overselling figures of RSI can be set individually. For example, when you take a long position, you can set the RSI to a period of 7, and at the same time, the RSI entering the short position can be set to a period of 14. You can also set the base figures for overbuying and overselling to levels that you think are reasonable. This figure works in conjunction with the Bollinger Band and affects position entry when it is crossed or returned.
6. Based on API futures trading, basic Sleepy and commission are applied. This is geared towards market price transactions. This makes your revenue look more reasonable.
Thank you very much, Chartart. You are a genius.
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저는 한국인이고, 영어로 이 스크립트를 설명하는 것이 어렵기 때문에 설명이 부족할 수 있습니다. 이런 영어 능력 부족에 대해서 TradingView 사용자들에게 미안하게 생각합니다. 만약 당신이 한국인이라면 파파고를 사용하여 번역기에 돌려주십시오. 당신에게 유익한 설명서가 될 것입니다.
이 스크립트는 Chart art의 Double Strategy를 참조했습니다. 그러나 그의 스크립트에서 달라진 점이 몇 가지 있습니다.
0. 기본적으로 100기간의 볼린져밴드의 상단 또는 하단을 돌파한 뒤 다시 밴드 안으로 들어올 때 RSI의 과매수, 과매도를 추적하여 포지션 진입을 결정합니다. 두 가지 조건이 동시에 만족되어야만 주문이 트리거 됩니다. 그러나 포지션을 청산하는 것에는 볼린져밴드 하나의 조건만 적용합니다. 여러가지 테스트를 거친 결과 이것이 손익 면에서 가장 효과적으로 리스크를 줄이고 자산을 늘리는 것에 효율적이기 때문입니다.
1. 이 스크립트는 15분의 비트코인 선물 차트와 webhook alert을 통한 API에 최적화되어 있습니다. 기본적으로 10배의 레버리지 사용과 10개의 피라미딩이 적용되어 있습니다.
2. 15분 외에 다른 차트 기간을 설정한다면 충분한 효과를 보장할 수 없습니다. 또한 이더리움에도 적용할 수 있지만, 그 외에 다른 심볼에는 적용하지 않는 것을 권장합니다.
3. Chart art의 스크립트는 전략을 사용자가 원하는 기간에 적용할 수 없었기 때문에, 저는 Enable Date Filter를 추가하였습니다. 이 기능을 통해 전략 사용을 원하지 않는 기간을 설정할 수 있습니다. 또한 이 기능을 완전히 사용하고싶지 않다면 체크를 해제할 수 있습니다. 사용 기간이 아닌 제외 기간인 점을 상기하시길 바랍니다. 이 기능을 통해 우리는 전체 기간이 아닌 가까운 특정 시점부터의 전략 적용 효과를 확인할 수 있습니다. 또한 사용자가 전략을 사용한 시점부터의 효과를 명백히 구분할 수 있습니다.
4. 또한 사용자가 적용을 원하지 않는 하루 중의 특정 시간대에 전략 사용을 멈출 수도 있습니다. 이는 위에 설명한 Enalbe Date Filter와 유사하게 작동합니다. 이를 통해 당신이 온전히 이 전략을 신뢰하지 못하여도 당신은 마음 편하게 잠에 들 수 있습니다.
5. RSI의 기간 및 과매수, 과매도 수치를 개별적으로 설정할 수 있습니다. 예를 들어 당신이 롱 포지션을 취할 때에는 RSI를 7의 기간으로 설정할 수 있고, 동시에 숏 포지션을 진입하는 RSI는 14의 기간으로 설정될 수 있습니다. 또한 과매수 및 과매도의 기준 수치를 당신이 합리적이라고 생각하는 수준으로 설정할 수 있습니다. 이 수치는 볼린져밴드와 함께 작동하여 그것을 넘어서거나 다시 되돌아올 때 포지션 진입에 영향을 미칩니다.
6. API 선물거래를 기준으로 하여 기본적인 슬리피지와 커미션이 적용되어있습니다. 이는 시장가 거래에 맞춰져 있습니다. 이는 당신의 수익을 좀 더 합리적인 수치로 보일 수 있게 합니다.
Chartart에게 특별히 감사합니다. 당신은 천재입니다.
EMA bands + leledc + bollinger bands trend following strategy v2The basics:
In its simplest form, this strategy is a positional trend following strategy which enters long when price breaks out above "middle" EMA bands and closes or flips short when price breaks down below "middle" EMA bands. The top and bottom of the middle EMA bands are calculated from the EMA of candle highs and lows, respectively.
The idea is that entering trades on breakouts of the high EMAs and low EMAs rather than the typical EMA based on candle closes gives a bit more confirmation of trend strength and minimizes getting chopped up. To further reduce getting chopped up, the strategy defaults to close on crossing the opposite EMA band (ie. long on break above high EMA middle band and close below low EMA middle band).
This strategy works on all markets on all timeframes, but as a trend following strategy it works best on markets prone to trending such as crypto and tech stocks. On lower timeframes, longer EMAs tend to work best (I've found good results on EMA lengths even has high up to 1000), while 4H charts and above tend to work better with EMA lengths 21 and below.
As an added filter to confirm the trend, a second EMA can be used. Inputting a slower EMA filter can ensure trades are entered in accordance with longer term trends, inputting a faster EMA filter can act as confirmation of breakout strength.
Bar coloring can be enabled to quickly visually identify a trend's direction for confluence with other indicators or strategies.
The goods:
Waiting for the trend to flip before closing a trade (especially when a longer base EMA is used) often leaves money on the table. This script combines a number of ways to identify when a trend is exhausted for backtesting the best early exits.
"Delayed bars inside middle bands" - When a number of candle's in a row open and close between the middle EMA bands, it could be a sign the trend is weak, or that the breakout was not the start of a new trend. Selecting this will close out positions after a number of bars has passed
"Leledc bars" - Originally introduced by glaz, this is a price action indicator that highlights a candle after a number of bars in a row close the same direction and result in greatest high/low over a period. It often triggers when a strong trend has paused before further continuation, or it marks the end of a trend. To mitigate closing on false Leledc signals, this strategy has two options: 1. Introducing requirement for increased volume on the Leledc bars can help filter out Leledc signals that happen mid trend. 2. Closing after a number of Leledc bars appear after position opens. These two options work great in isolation but don't perform well together in my testing.
"Bollinger Bands exhaustion bars" - These bars are highlighted when price closes back inside the Bollinger Bands and RSI is within specified overbought/sold zones. The idea is that a trend is overextended when price trades beyond the Bollinger Bands. When price closes back inside the bands it's likely due for mean reversion back to the base EMA in which this strategy will ideally re-enter a position. Since the added RSI requirements often make this indicator too strict to trigger a large enough sample size to backtest, I've found it best to use "non-standard" settings for both the bands and the RSI as seen in the default settings.
"Buy/Sell zones" - Similar to the idea behind using Bollinger Bands exhaustion bars as a closing signal. Instead of calculating off of standard deviations, the Buy/Sell zones are calculated off multiples of the middle EMA bands. When trading beyond these zones and subsequently failing back inside, price may be due for mean reversion back to the base EMA. No RSI filter is used for Buy/Sell zones.
If any early close conditions are selected, it's often worth enabling trade re-entry on "middle EMA band bounce". Instead of waiting for a candle to close back inside the middle EMA bands, this feature will re-enter position on only a wick back into the middle bands as will sometimes happen when the trend is strong.
Any and all of the early close conditions can be combined. Experimenting with these, I've found can result in less net profit but higher win-rates and sharpe ratios as less time is spent in trades.
The deadly:
The trend is your friend. But wouldn't it be nice to catch the trends early? In ranging markets (or when using slower base EMAs in this strategy), waiting for confirmation of a breakout of the EMA bands at best will cause you to miss half the move, at worst will result in getting consistently chopped up. Enabling "counter-trend" trades on this strategy will allow the strategy to enter positions on the opposite side of the EMA bands on either a Leledc bar or Bollinger Bands exhaustion bar. There is a filter requiring either a high/low (for Leledc) or open (for BB bars) outside the selected inner or outer Buy/Sell zone. There are also a number of different close conditions for the counter-trend trades to experiment with and backtest.
There are two ways I've found best to use counter-trend trades
1. Mean reverting scalp trades when a trend is clearly overextended. Selecting from the first 5 counter-trend closing conditions on the dropdown list will usually close the trades out quickly, with less profit but less risk.
2. Trying to catch trends early. Selecting any of the close conditions below the first 5 can cause the strategy to behave as if it's entering into a new trend (from the wrong side).
This feature can be deadly effective in profiting from every move price makes, or deadly to the strategy's PnL if not set correctly. Since counter-trend trades open opposite the middle bands, a stop-loss is recommended to reduce risk. If stop-losses for counter-trend trades are disabled, the strategy will hold a position open often until liquidation in a trending market if th trade is offsides. Note that using a slower base EMA makes counter-trend stop-losses even more necessary as it can reduce the effectiveness of the Buy/Sell zone filter for opening the trades as price can spend a long time trending outside the zones. If faster EMAs (34 and below) are used with "Inner" Buy/Zone filter selected, the first few closing conditions will often trigger almost immediately closing the trade at a loss.
The niche:
I've added a feature to default into longs or shorts. Enabling these with other features (aside from the basic long/short on EMA middle band breakout) tends to break the strategy one way or another. Enabling default long works to simulate trying to acquire more of the asset rather than the base currency. Enabling default short can have positive results for those high FDV, high inflation coins that go down-only for months at a time. Otherwise, I use default short as a hedge for coins that I hold and stake spot. I gain the utility and APR of staking while reducing the risk of holding the underlying asset by maintaining a net neutral position *most* of the time.
Disclaimer:
This script is intended for experimenting and backtesting different strategies around EMA bands. Use this script for your live trading at your own risk. I am a rookie coder, as such there may be errors in the code that cause the strategy to behave not as intended. As far as I can tell it doesn't repaint, but I cannot guarantee that it does not. That being said if there's any question, improvements, or errors you've found, drop a comment below!
Pivot Moving Average steteggythis Pivot Moving Average steteggy works best on a chart --->>Above 100$ crypto
Sniper is very profitable in terms of% good trades
It will perform very well on 1-5X Leverage (Solid leverage, not variable depending on the volume )
TP: 0.9 %
SL : 5.5 %
Rudy's BB with MartingaleMy first strategy script that uses Bollinger Bands and Martingale to increase contract size after negative profit.
Compound strategyIn this strategy, I looked at how to manage the crypto I bought. Once we have a little understanding of how cryptocurrency is valued, we can manage the coins we have. For example, the most valuable coin in a coin is to sell when it is overvalued and re-buy when it is undervalued. Furthermore, I realised that buying from the right place and selling at the right time is very important to make a good profit. When it says sell, it's divided into several parts.
1. When the major uptrend is over and we are able to make the desired profit, we will sell our holdings outright.
2. Selling in the middle of a down trend and buying less than that amount again
3. When a small uptrend is over, sell the ones you bought at a lower price and make a small profit.
The other important thing is that the average cost is gradually reduced. Also, those who sell at a loss will reduce their profit (winning rate), so knowing that we will have a chance to calculate our loss and recover it. I used this to write a strategy in Trading View. I have put the link below it. From that we can see how this idea works. What I did was I made the signal by taking some technical indicators as I did in the previous one (all the indicators I got in this case were directional indicators, then I was able to get a good correlation and a standard deviation. I multiplied the correlation and the standard deviation by both and I took the signal as the time when the graph went through zero, and I connected it to the volume so that I could see some of the volume supported by it.)
Now let me tell you a little bit about what I see in this strategy. In this I used the compound effect. That is, the strategy, the profit he takes to reinvest. On the other hand, the strategy itself can put a separate stop loss value on each trade and avoid any major loss from that trade. I also added to this strategy the ability to do swing trading. That means we can take the small profits that come with going on a big up trend or a big down trend. Combined with Compound Effect, Stop Loss and Swing Trading, I was able to make a profit of 894% per annum (1,117.62% for 15 months) with a winning rate of 80%. Winning rate dropped to 80% because I added stop loss and swing trading. The other thing is that I applied DCA to this in both the up trend and the down trend (both). That was another reason for me to make a good profit. The orange line shows how to reduction of costly trade. The yellow line shows the profit and you can see that the profit line does not go down during the loss trades. That's because I want to absorb the loss from that trade.
I11L OIL BotThe System makes use of the Bolinger Bands strategy from TradingView and implements simple Money Management Rules like SL and TP.
You can adjust the following Parameters:
Leverage: Leverage.
Risk Capital per Trade: The amount you are willing to lose per Trade, keep in mind that changes in Leverage should follow changes in Risk Capital.
TP_Factor: Default is 2:1 Risk:Reward, you might want to adjust this according to the underlying market.
InvertBuyLogic: Inverts the Logic of the System, important for checking if you have a true performance advantage from using the System. I look for a flat looking Curve in the wrong mode.
LookbackDistance: The distance your standart Deviation is refering to. A Lookback Distance too big might result in very few signals.
DevMult: We only want outliers, so we multiply our standart Deviation Bands by a Factor.
MadriEsta estrategia fue creada por mi, basándose en el indicador bollinger bands+rsi y una ema , forexstrategiesresources me lo pasó a codigo y despues fue publicado en ChartArt y en la pagina web de forexstrategiesresources.
Ahora este script lo he modificado para optimizarlo para BTC /USDT en la temporalidad de 1 hora, os invito a ir cambiando temporalidades y valores para conseguir la mayor rentabilidad y, al igual que yo lo publico en codigo abierto os invito a que pongáis vuestros ajustes en los comentarios.
Los ajustes que se pueden cambiar para buscar mayor rentabilidad son en primer lugar "lo que se puede cambiar desde el mismo grafico" los valores "A" y "B".
Además, en el codigo el valor "RSIoverSold" y el "RSIoverBought" por mi experencia con menos de 30 no suele ir bien y con mas de 70 tampoco, el rango adecuado es de 29 a 49, incluidos.
Yo no he trasteado mucho pero también os invito a cambiar la fuente de entrada de "close" a "high", "open", "low"...
Recomiendo para la configuración ACTUAL mismo símbolo, mismos valores operar las señales Short cuando el precio este por debajo de la EMA de 900 y operar las Long cuando este por encima.
En otros símbolos la cosa cambia, hay que adaptarlo a cada cosa.
Triple ThreatThis indicator provides buy and sell signals for Bitcoin based on confluence from well-known momentum, volatility, and trend indicators. It has successfully captured the major directional trends on Bitcoin's daily chart since 2018, and the settings are currently optimized for this chart in particular. This indicator implements RSI to gauge momentum, BBWP to gauge volatility, and an EMA to gauge trend. Maximum confluence signals are represented by horizontal bars in the indicator's pane, where the tallest green bar is a confirmed buy signal, and the tallest red bar is a confirmed sell signal. The shortest bar represents a momentum-only signal, and the second-shortest bar represents a volatility signal in confluence with the previously given momentum signal.
To track momentum, the RSI is plotted to the indicator plane against a moving average of the RSI. A momentum signal is generated when the RSI crosses over its moving average, retests/approaches the moving average, and then continues in the crossover direction (i.e., it fails to cross the moving average to the opposite side, creating a successful retest). The settings that affect this trigger are the "Crossover Threshold," which specifies how much the RSI should exceed the moving average to be considered a crossover, and the "Retest threshold," which specifies how closely the RSI should approach the moving average to be considered a retest. A momentum signal is ALSO generated if the RSI or its moving average exceed their counterpart by a certain threshold. For example, if the threshold was set at 10, a BUY signal would be generated when the RSI exceeds the moving average by 10, or a SELL signal would be generated when the moving average exceeds the RSI by 10. This threshold can be set using the "Instant Signal Threshold" setting. Either type of momentum signal will be plotted on the pane as the shortest horizontal bar, with its color indicating the signal's direction.
Volatility is primarily measured using the Bollinger Band Width Percentile (BBWP) indicator, which was created by The_Caretaker. BBWP plots the volatility of the asset's price, given by Bollinger Band width, relative to past volatility by assigning the volatility readings into percentiles. The indicator also includes a moving average of the BBWP itself, where a crossover to the upside represents expanding volatility and a crossover to the downside represents contracting volatility. This indicator is used to confirm a signal given by the momentum indicators - a momentum signal that is given during a period of expanding volatility has a greater likelihood of success. Therefore, when the BBWP crosses above its moving average by a given threshold, a previously triggered momentum signal is considered to be "confirmed." The threshold for this crossover can be set using the "BBWP Confirmation Threshold" setting. However, it is also relevant that periods of extreme volatility often accompany an extremity in price action (a "top" or "bottom"), in which case the BBWP is likely to contract after price reaches such an extremity. This phenomenon is captured by also using "extreme reads" on the momentum indicator to signal that there has already been enough volatility to confirm a momentum signal. If the RSI gives an "extreme read" before triggering a signal, the momentum signal is also considered to be confirmed. For example, if the RSI is above 80, breaks below 80, and then gives a SELL signal, this sell signal is considered to be confirmed without requiring the BBWP to crossover its moving average to the upside. The threshold that would confirm a SELL signal can be set with the "Overbought" setting, and the threshold that would confirm a BUY signal can be set with the "Oversold" setting. Whenever a volatility signal confirms a momentum signal, a medium-sized horizontal bar will be plotted on the pane in the same directional color as the momentum signal. Note that a momentum signal may trigger at the exact same time as the volatility signal which confirms it; in this case, only the medium-sized bar will be visible on the pane, but its direction can still be identified by its color.
Lastly, to reduce the likelihood of "false signals," a trend indicator is used to confirm the direction of the signal. This is typically an exponential moving average. If a confirmed volatility SELL signal is given, and the closing price is below the moving average, then the SELL signal is also confirmed by the trend. Likewise, if a confirmed volatility BUY signal is given, and the closing price is above the moving average, then the BUY signal is confirmed by the trend. The type and length of the moving average used to verify the trend can be set using the "Moving Average Type" and "Moving Average Length" settings found below the momentum/volatility settings. A trend signal is plotted on the pane as a tall horizontal bar, and is more deeply colored than the momentum and volatility signals.
For maximum confluence, it is recommended that the trend signal, given by the tallest bar, is the one that forms the basis of trades executed while using the Triple Threat indicator. It is possible to enter more aggressive trades with better entries by using only the volatility signal, given by the medium-sized bar, however this entails greater risk and should only be done in confluence with an additional trading strategy of your own discretion. Backtesting has shown that using the volatility signal alone underperforms using the volatility signal in confluence with the trend signal.
Please also be advised that the default setting are optimized for Bitcoin's daily chart only. The indicator is still applicable to other timeframes and asset classes, but the settings may need to be modified. I have a list of settings for other Bitcoin timeframes, and I would be happy to share them upon request.
I hope you can find this indicator to be of some use to your trading strategies. I'd be happy to hear any feedback from the community, so please don't hesitate to reach out. Stay safe, and happy trading.
TASC 2022.04 S&P500 Hybrid Seasonal System█ OVERVIEW
TASC's April 2022 edition of Traders' Tips includes the "Sell In May? Stock Market Seasonality" article authored by Markos Katsanos. This is the code implementing the "Hybrid Seasonal System" from the article.
█ CONCEPTS
In his article, Markos Katsanos takes an updated look at the "Sell in May" adage by reviewing recent historical data for seasonal equity market tendencies. The author explores the development of a trading strategy (a set of buy and sell rules) based on this research.
He starts from the enhanced buy & hold system featured in his July 2021 TASC article, and adds additional technical conditions. These include volatility conditions ( VIX and ATR ) plus the "Volume Flow Indicator" (VFI), which is a custom money flow indicator that Katsanos introduced in his June 2004 TASC article. He provides an example of a trading system that others can test for themselves and modify as they see fit. The author notes that the system could likely be improved further by adding money management conditions (such as a stop-loss), or by adding more technical conditions not considered in the scope of this article.
█ CALCULATIONS
The entry and exit rules that constitute the trading system are defined below. The critical values of VIX, ATR and VFI (specified below) used in the calculations were determined by optimization for a daily chart of the SPY ETF . By default, the strategy only allows long entries. However, the script offers the possibility to initiate short entries upon exiting long trades through the "Long Only" toggle in the script's inputs.
Long Entry Rules
• Seasonal: The seasonal trade is initiated on the first business day October at the open.
• Volatility: In case of high volatility, that is if the VIX is above 60% or the 15-day ATR was above 90% over the past 25 days, the seasonal trade is deferred until later in the month or year, when the volatility subsides.
Exit/Short Entry Rules
• Seasonal: The exit/short signal is triggered on the first business day of August at the open.
• Volatility: The exit/short signal is triggered if VIX is above 120 % (i.e. 2 times the corresponding threshold parameter).
• Money flow (VFI): The exit/short signal is triggered if the VFI crosses under a critical value (-20) while its 10-day moving average is pointing down.
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Long Term Heat/Volatility - Accumulation/Distribution v1This is a strategy specifically made for 1D BTC/USD with the aim of capturing cycle tops and bottoms. It's mainly based on two indicators: 21d average of ATR (volatility) and (BTC.price - 180d sma)/BTC.price (heat). The strategy only signals buys or sells after occurrences of high volatility, followed by extremely high or low heat values. It's optimized for utilizing accumulation and distribution at lower and higher prices respectively with respect to last 14 days. 2nd version will include dynamic dollar cost averaging during the accumulation and distribution periods.
Volatility Breakout StrategyThis is a strategy used by Larry R. Williams called Volatility Breakout.
By identifying a strong uptrend that exceeds 'a certain level' on a daily basis as a breakout signal, enter long position, take advantage of long at the the next day's open.
'a certain level (Entry Price)' is calculated by { close + 'k' * high -low }, and applied logarithmic calculation.
Stop loss level is calculated by half of the previous day's Low and Entry Price.
Strategy exit always at UTC+0.
And expressed day session with the background color.
Thanks and hope this helps you.
(kor)
이건 Larry R. Williams가 사용하는 변동성 돌파 전략입니다.
특정 수준을 넘는 강한 상승세를 돌파 신호로 파악하여 매수하고, 장시간이 종료될때에 빠르게 수익을 실현하는 전략입니다.
"특정 레벨(진입가)"은 close + 'k' * high -low 로 계산되며 로그 계산을 적용했습니다.
손절 레벨은 전일 저가 및 진입 가격의 절반으로 계산됩니다.
전략은 항상 UTC+0에서 종료합니다. ( 한국 기준 오전 9시 )
그리고 배경색으로 일일세션을 표현했습니다.
트뷰에 오픈소스의 래리윌리엄스 변동성전략이 없는것 같아 간단하게나마 만들어 보았습니다. 도움이 되었으면 좋겟워요..
Chandelier Exit - StrategyI created a strategy version for the Chandelier Exit indicator, originally owned by @everget . With the strategy I prepared, you can try both short-long and stop loss - trailing stop and take profit rates. I have also added a date filter feature so that you can test the strategy in the date range you want.
Orjinali @everget 'e ait olan Chandelier Exit indicator için strateji versiyonu oluşturdum. Hazırladığım strateji ile hem short-long deneyebilir hem de zarar durdur - takip eden stop ve kar al oranları denemeleri yapabilirsiniz. İstediğiniz tarih aralığında strateji testi yapabilmeniz için tarih filtre özelliği de ekledim.
adx efi 50 ema channel, trend pullbackHi so this strategy is based off 50 ema channel and the 15 ma crossing it to generate signals. But with my adjusted strategy it's a 10 rma crossing 50 ema channels and a 5 and 9 wma to help see pullbacks. 50 period bollinger bands to gage volatility a0nd help during range markets. The strategy signals are generated when longer period efi is above 0 and shorter period efi is below zero and price has pulled back near 50 ema to buy long. And the reverse for shorts, I made this to help me trade more mechanically and to trade 1 minute time frame, that's where the strategy seems to Excell the most, I developed it on eur usd but a brief check seems like it still is profitable on gbp usd aud usd usd jpy I only trade the forex market so not sure about stocks and crypto. If you get signals I would place buy stops and sell stops above high and low of respective signal candle and let price take you into trade. Also adx 20 has to be greater than 20 to take trades. Let me know if this is helpful. I've only been coding for a month so it might look sloppy the way it's coded also there are a few other buy and sell conditions left in the source code if you want to switch between different buy and sell triggers, they all produce good results on 1 min timeframe
