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Swingtrading

Cyatophilum Swing Trader [BACKTEST]This is an indicator for swing trading which allows you to build your own strategies, backtest and alert. This version is the backtest which allows to use the Strategy Tester. The alert version can be found in my profile scripts page. The particularity of this indicator is that it contains several indicators, including a custom one, that you can choose in a drop down list, as well as a trailing stop loss and take profit system. The current indicators are : CYATO AI: a custom indicator inspired by Donchian Channels that will catch each big trend and important reversal points . The indicator has two major "bands" or channels and two minor bands. The major bands are bigger and are always displayed. When price reaches a major band, acting as a support/resistance, it will either bounce on it or break through it. This is how "tops" and "bottoms", and breakouts are caught. The minor bands are used to catch smaller moves inside the major bands. A combination of volume, momentum and price action is used to calculate the signals. Advantages of this indicator: it should catch top and bottoms better than other swing trade indicators. Cons of this indicator: Some minor moves might be ignored. Sometimes the script will catch a fakeout due to the Bands design. Best timeframes to use it : 2H~4H Sample: Other indicators available: SARMA: A combination of Parabolic Stop and Reverse and Exponential Moving Average (20 and 40) . SAR: Regular Parabolic Stop and Reverse . QQE: An indicator based on Quantitative Qualitative Estimation . SUPERTREND: A reversal indicator based on Average True Range . CHANNELS: The classic Donchian Channels . More indicators might be added in the future. About the signals: each entry (long & short) is calculated at bar close to avoid repainting. Exits (SL & TP) can either be intra-bar or at bar close using the Exit alert type parameter. STOP LOSS SYSTEM The base indicators listed above can be used with or without TP/SL. TP and SL can be both turned on and off and configured for both directions. The system can be configured with 3 parameters as follows: Stop Loss Base % Price: Starting Value for LONG/SHORT stop loss Trailing Stop % Price to Trigger First parameter related to the trailing stop loss. Percentage of price movement in the right direction required to make the stop loss line move. Trailing Stop % Price Movement: Second parameter related to the trailing stop loss. Percentage for the stop loss trailing movement. Another option is the "Reverse order on Stop Loss". Use this if you want the strategy to trigger a reverse order when a stop loss is hit. TAKE PROFIT SYSTEM The system can be configured with 2 parameters as follows: Take Profit %: Take profit value in percentage of price. Trailing Profit Deviation %: Percent deviation for the trailing take profit. Combining indicators and Take Profit/Stop Loss One thing to note is that if a reversal signal triggers during a trade, the trade will be closed before SL or TP is reached. Indeed, the base indicators are reversal indicators, they will trigger long/short signals to follow the trend. It is possible to use a takeprofit without stop loss, like in this example, knowing that the signal will reverse if the trade goes badly. The base indicators settings can be changed in the "Advanced Parameters" section. Configuration used for this snapshot: BACKTEST SETTINGS · Initial Capital: 10 000 $ · Order Size: 10% equity (to avoid compounding effect) · Commission : 0.1% per order (total commission paid: 244.41 €) · Slippage: 5 ticks Oldest trade: 2014-04-01 Backtest Period: From 2014-04-01 to 2020-09-04 Use the link below to obtain access to this indicator.
استراتيجية Pine Script®
من ‎cyatophilum‎
2
Full strategy AllinOne with risk management MACD RSI PSAR ATR MAHey, I am glad to present you one of the strategies where I put a lot of time in it. This strategy can be adapted to all type of timecharts like scalping, daytrading or swing. The context is the next one : First we have the ATR to calculate our TP/SL points. At the same time we have another rule once we enter(we enter based on % risk from total equity, in this example 1%, at the same time, lowest ammount for this example is 0.1 lots, but can be modified to 0.01), so we can exit both by tp/sl points, or by losing 1% of our equity or winning 1% of our total equity. It's dinamic. The strategy is made from Trend direction : PSAR First confirmation point : Crossover between 10EMA and Bollinger bands middle point Second confirmation MACD histogram Third confirmation RSI overbought/oversold levels For entries : we check trend with psar, then once ema cross bb middle point, we confirm together with rsi level for overbought/oversold and macd histogram ( > 0 or <0). We exit, when we have opposite sign, like from buy to sell or sell to buy, or when we reach tp/sl points, or when we reach % basaed equity points. It can be changed to be fixed lots, or fixed tp/sl , you just have to uncomment the size from entries, and tp/sl lines. At the same time, it has the possibility if one desires, to trade only concrete forex session like european, asian and so on for intraday trading. Hope you enjoy it. Let me know how it goes.
استراتيجية Pine Script®
من ‎SoftKill21‎
30
Intraday Long & Short 5MinRules for using this indicator 1. Time Frame - 5 Min (Recommended) or 15 Min 2. Long Entry - when High of signal candle breaks by any Green candle' close. 3. Short Entry - when Low of signal candle breaks by any Red candle' close. 4. Price might reverse after you take entry till Red line or Green Line and as this indicator is based on Higher High and Lower Low Support and Resistance method. Most of time it will reverse after touching the line. You can confirm the Price action from that point. else Exit. 5. Entry in 5 Min timeframe and holding for swingtrade until overbought and oversold indication appears will give extra profits. 6. DYOR Like,Comment and add this to favorite if you find it useful. Consider Donating coins only if this indicator turns profitable for you. Thank you!
مؤشر Pine Script®
من ‎nicks1008‎
83
A Physicist's Bitcoin Trading Strategy 1. Summary This strategy and indicator were designed for, and intended to be used to guide trading activity in, crypto markets, particularly Bitcoin. This strategy uses a custom indicator to determine the state of the market (bullish vs bearish) and allocates funds accordingly. This particular variation also uses the custom indicator to determine when the market is significantly oversold and takes advantage of the opportunity (it buys the dip). The specific mathematical formula that is used to calculate the underlying custom indicator allows the trader to get in before, or near the start of, the bull trends, and get out before the bear trends. The strategy's properties dialogue box includes many display settings and parameters for optimization and customization to meet the user's needs and risk tolerance; this is both a tool to gauge the market, as well as a trading strategy to beat the market. Guidelines for parameter settings are provided. A sample dataset of backtest results using randomized parameters, both within the guidelines and outside the guidelines, is available upon request; notably, all trials outperformed the intended market (Bitcoin) during the 9-year backtest period. 2. The Indicator and Strategy 2.1. The Indicator A mathematical formula is used to determine the state of the market according to three different "frequencies", which, for lack of better terminology, are called fast, moderate, and slow indicators. There are two parameters for each of the three indicators, one called response time and the other is a simple look-back period. Finally, four exponential moving averages are used to smooth each indicator. In total, there are 18 different levels of bullishness/bearishness. The purpose of using three indicators, rather than one, is to capture the full character of the market, from a macro/global scope down to a micro/local scope. I.e. the full indicator looks at the forest, the trees, and the branches, simultaneously. 2.2. The Strategy The trend-trading strategy is very simple; there are only four types of orders: 1) The entire position (e.g. all bitcoins held) is sold (if it hasn't already been totally sold) when the indicator becomes maximally bearish, 2) When the movement of the indicator is in the bullish direction, the strategy dollar-cost-average (DCA) buys at an exponentially decreasing rate, i.e. it buys more in the early stages of the transition from bear->bull. 3) When the indicator is maximally bullish, it goes "all-in" † (if it hasn't already gone all-in), i.e. it converts all available cash into the underlying security/token. And, 4) when the movement of the indicator is in the bearish direction, the strategy DCA sells (again, exponentially decreasing) to get out quickly. No leverage is used in this strategy. The strategy never takes a short position. A second "buy-the-dip" strategy is also used, and it is the synergy of these two strategies, together, that is responsible for most of the outperformance in the backtests (this strategy handily beats the non-dip-buying variation in backtests). To do this, the custom indicator is used to determine when the market is significantly oversold on a short-term basis, and the strategy responds by DCA buying. However, unlike the DCA buying during bull/bear transitions, the buy-the-dip DCA buying increases with time. Specifically, within each candle that is short-term oversold, the strategy converts 10% x # of candles since becoming oversold (up to a max of 6 candles) of available cash into the underlying security/token. I.e. the first buy is 10% of available cash and occurs in the first oversold candle, the second buy is 20% of available cash and occurs in the second oversold candle, etc. up to six consecutive oversold candles. Lastly, to ensure no conflicting orders and no leverage (buying more than what is affordable with the available cash in the fund), buy-the-dip orders take precedence over the trend-trading orders enumerated in the previous paragraph. † Technically the strategy goes 99.5% in when it goes "all-in". This is to ensure no leverage is used given that there may be a commission of 0.5%. 3. Backtest Results Backtest results demonstrate significant outperformance over buy-and-hold. The default parameters of the strategy/indicator have been set by the author to achieve maximum (or, close to maximum) outperformance on backtests executed on the BTCUSD (Bitcoin) chart. However, significant outperformance over buy-and-hold is still easily achievable using non-default parameters. Basically, as long as the parameters are set to adequately capture the full character of the market, significant outperformance on backtests is achievable and is quite easy. In fact, after some experimentation, it seems as if underperformance hardly achievable and requires deliberately setting the parameters illogically (e.g. setting one parameter of the slow indicator faster than the fast indicator). In the interest of providing a quality product to the user, suggestions and guidelines for parameter settings are provided in section (6). Finally, some metrics of the strategy's outperformance on the BTCUSD chart are listed below, both for the default (optimal) parameters as well as for a random sample of parameter settings that adhere to the guidelines set forth in section (6). Using the default parameters, relative to buy-and-hold strategy, backtested from August 2011 to August 2020, Total cumulative outperformance (total return of strategy minus total return of buy-n-hold): 13,000,000%. Rolling 1-year outperformance: mean 318%, median 84%, 1st quartile 55%, 3rd quartile, 430%. Rolling 1-month outperformance: mean 2.8% (annualized, 39%), median -2.1%, 1st quartile -7.7%, 3rd quartile 13.2%, 10th percentile -13.9%, 90th percentile 24.5%. Using the default parameters, relative to buy-and-hold strategy, during specific periods, Cumulative outperformance during the past year (August 2019-August 2020): 37%. 12/17/2016 - 12/17/2017 (2017 bull market) absolute performance of 2563% vs buy-n-hold absolute performance of 2385% 11/29/2012 - 11/29/2013 (2013 bull market) absolute performance of 14033% vs buy-n-hold absolute performance of 9247% Using a random sample (n=20) of combinations of parameter settings that adhere to the guidelines outlined in section (6), relative to buy-and-hold strategy, backtested from August 2011 to August 2020, Average total cumulative outperformance, from August 2011 to August 2020: 2,000,000%. Median total cumulative outperformance, from August 2011 to August 2020: 1,000,000%. 4. Limitations This strategy is basically a DCA-swing trading strategy, and as such it is intended to be used on the 6-hr chart. Similar performance is expected on daily chart, 12-hr chart, and 4-hr chart, but performance is likely to be limited when used on charts of shorter time-frames. However, due to the flexibility afforded by the large quantity of parameters, as well as the tools included, it may be possible to tweak the indicator settings to get some outperformance on smaller time-frames. Admittedly, the author did not spend much time investigating this. As is apparent in the backtests, this strategy has very limited absolute performance during large bear markets, such as Bitcoin's 2018 bear market. As described, it does outperform the underlying security by a large amount in backtests, but a large absolute return is unlikely during large and prolonged declines (unless, of course, your unit of account is the underlying token, in which case an outperformance of the underlying is, by definition, an absolute positive return). This strategy is likely to underperform if used to trade ETFs of broad equity markets. This strategy may produce a small amount of outperformance when used to trade precious metals ETFs, given that the parameters are set optimally by the user. 5. Use The default parameters have already been set for highly optimal backtest results on the chart of BTCUSD (Bitcoin / US Dollar BITSTAMP), (although, a different combination of parameter settings may yet produce better results). Still, there is a great number of combinations that can be explored, so the user is free to tweak the settings to meet his/her/their needs. Some display options are provided to give the user a visual aid while tweaking the parameters. These include a blue/red background display of the custom indicator, a calibration system, and options to display information about the backtest results. The background pattern represents the various levels of bullishness/bearishness as semi-transparent layers of blue and red, with blue corresponding with bullish and red corresponding with bearish. The parameters that affect the indicator are the response times, the periods, and some EMA lengths. The parameters that affect the quantity of contracts (tokens/shares/bitcoins/etc) to be bought/sold are the transitionary buy/sell rates. There are also two sets of date parameters. The response time and period parameters are direct inputs into the underlying math formula and are used to create the base-level indicators (fast, moderate, and slow). The response times control the speed of each of the three indicators (shorter is fast, longer is slower) and the period controls how much historical data is used in computation. Information about how these should be set are included in section (6). Another set of parameters control EMA look-back periods that serve to smooth the base-level indicators. Increasing these EMA lengths makes the overall indicator less sensitive to short-term price action, while reducing them does the opposite. The effect of these parameters are obvious when the background blue/red visualization is displayed. Another EMA length is an EMA for the entire indicator. Increasing this parameter reduces the responsiveness of the trading strategy (buy/sell orders) to quick/small changes of the overall level of the indicator, so as to avoid unnecessary buying and selling in times of relatively small and balanced price perturbations. Note, changing this parameter does not have an effect on the overall indicator itself, and thus will not affect the blue/red background representation. The transitionary buy/sell rates control the portion of the available asset to be converted to the other. E.g. if the buy rate is set to 90%, then 90% of the available cash will be used to buy contracts/tokens/shares/bitcoins during transitions bullish transitions, e.g. if the available cash at the start of the bullish transition is $10,000 and the parameter is set to 90%, then $9,000 will be used to buy in the first candle during which the transition is bullish, then $900 will be used to buy in the second candle, then $90 in the third candle, etc. There are two dates that can be set. The first is the date at which the strategy goes all in. This is included because the buy-and-hold strategy is the benchmark against which this strategy is compared, so setting this date to some time before the strategy starts to make trades will show, very clearly, the outperformance of the strategy, especially when the initial capital parameter in the Properties tab is equal to the price of one unit of the underlying security on the date that is set, e.g. all-in on Bitcoin on 8/20/2011 and set initial capital to the BTCUSD price on that date, which was $11.70. The second date is a date to control when the strategy can begin to place trades. Finally (actually, firstly in the Inputs dialogue box), a set of checkbox inputs controls whether or not the backtest is on or off, and what is displayed. The display options are the blue/red (bull/bear) background layers †, a set of calibrators, a plot of the total strategy equity, a plot of the cash position of the strategy, a plot of the size of the position of the strategy in contracts/shares/units (labeled as BTC position), and a plot of the rolling 1-year performances of buy-and-hold and the strategy. About the calibrators: The calibration system allows the user to quickly assess and calibrate how well the indicator... indicates. Quite simply, the system has two parts: one plot that is the cumulative sum of the product of the indicator level and the change in the underlying price, i.e. sum of ‡, over all candles. The second part is a similar plot that is reduced according to the quickness with which the indicator changes, i.e. sum of . Maximizing the first plot at the expense of the second will cause the indicator to match the price action very well but therefore it will change very rapidly, from bullish to bearish, which is visualized by a background pattern that changes frequently from blue to red to blue. Ignoring the first plot and maximizing the second will also cause the indicator to more closely match the price action, but the transitions will be slower and less frequent, and will therefore focus on identifying the major trends of the market. † The blue/red background has many layers and will make the chart lag as the user interacts with it. ‡ Bearish states are coded as negative quantities, so a bearish state x negative price action = positive number, and bullish state x positive price action = positive number. 6. Suggestions and Guidelines As described in section (2.1), the indicator used in this strategy was designed to determine the state of the market--whether it is bullish or bearish--as well as the change in the state of the market--whether it is increasingly bullish or increasingly bearish. As such, the following suggestions are provided based on the principles of the indicator's design, 1. Response Time 1 should be less than (<) Response Time 2 which should be < Response Time 3 2. Fast Period < Moderate Period < Slow Period 3. In terms of the period of a full market cycle (e.g. ~ 4 years for BTC, ~ 5.5 years for equities, etc.), response times 1, 2, and 3 should be about 0.3% to 1%, 3% to 20%, and 20% to 50% of a full market cycle period, respectively. However, this is a loose guideline. 4. In terms of the period of a full market cycle, periods 1, 2, and 3 should all be about 25% to 75% of a full cycle period. Again, this is a loose guideline. 4. EMA 1 Length < EMA 2 Length < EMA 3 Length < EMA 4 Length 5. EMA Lengths 1, 2, 3, and 4 should be limited to about 1/4th the length of a full market cycle. Note, EMA lengths are measured in bars (candles), not in days. 1/4th of 1000 days is 250 days which is 250 x 4 = 1000 6-hr candles. The following guidelines are provided based on results of over 100 backtests on the BTCUSD chart using randomized parameters †, 1. 9 days < Response Time 1 < 14 days 2. 5 days < EMA 1 Length < 100 days 3. 600 days < EMA 4 length < 1000 days 4. The ratio of the EMA range (EMA 4 len - EMA 1 len) to the sum of EMA lengths (EMA 1 len + EMA 2 len + ...) be greater than 0.4 5. The ratio of the sum of EMA 1 and EMA 2 lengths to the sum of EMA 3 and EMA 4 lengths be less than 0.3. A suggestion from the author: Given that backtests show a high degree of outperformance using the guidelines enumerated above, a good trading strategy may be to not rely on any one particular combination of parameters. Rather, a random set of combinations of parameter settings that adhere to the guidelines above could be used to create multiple instances of the strategy in a TradingView chart, each of which varies by a small amount due to their unique parameter settings. The proportion of the entire set of strategy instances that agree about the current state of the market could indicate to the trader the level of confidence of the indicator, in aggregate. † A sample dataset of backtest results using randomized parameters is available upon request; notably, all trials outperformed the intended market (Bitcoin). 7. General Remarks About the Indicator Other than some exponential moving averages, no traditional technical indicators or technical analysis tools are employed in this strategy. No MACD, no RSI, no CMF, no Bollinger bands, parabolic SARs, Ichimoku clouds, hoosawatsits, XYZs, ABCs, whatarethese. No tea leaves can be found in this strategy, only mathematics. It is in the nature of the underlying math formula, from which the indicator is produced, to quickly identify trend changes. 8. Remarks About Expectations of Future Results and About Backtesting 8.1. In General As it's been stated in many prospectuses and marketing literature, "past performance is no guarantee of future results." Backtest results are retrospective, and hindsight is 20/20. Therefore, no guarantee can, nor should, be expressed by me or anybody else who is selling a financial product (unless you have a money printer, like the Federal Reserve does). 8.2. Regarding This Strategy No guarantee of future results using this strategy is expressed by the author, not now nor at any time in the future. With that written, the author is free to express his own expectations and opinions based on his intimate knowledge of how the indicator works, and the author will take that liberty by writing the following: As described in section (7), this trading strategy does not include any traditional technical indicators or TA tools (other than smoothing EMAs). Instead, this strategy is based on a principle that does not change, it employs a complex indicator that is based on a math formula that does not change, and it places trades based on five simple rules that do not change. And, as described in section (2.1), the indicator is designed to capture the full character of the market, from a macro/global scope down to a micro/local scope. Additionally, as described in section (3), outperformance of the market for which this strategy was intended during backtesting does not depend on luckily setting the parameters "just right." In fact, all random combinations of parameter settings that followed the guidelines outperformed the intended market in backtests. Additionally, no parameters are included within the underlying math formula from which the indicator is produced; it is not as if the formula contains a "5" and future outperformance would depend on that "5" being a "6" instead. And, again as described, it is in the nature of the formula to quickly identify trend changes. Therefore, it is the opinion of the author that the outperformance of this strategy in backtesting is directly attributable to the fundamental nature of the math formula from which the indicator is produced. As such, it is also the opinion of the author that continued outperformance by using this strategy, applied to the crypto (Bitcoin) market, is likely, given that the parameter settings are set reasonably and in accordance with the guidelines. The author does not, however, expect future outperformance of this strategy to match or exceed the outperformance observed in backtests using the default parameters, i.e. it probably won't outperform by anything close to 13,000,000% during the next 9 years. Additionally, based on the rolling 1-month outperformance data listed in section (3), expectations of short-term outperformance should be kept low; the median 1-month outperformance was -2%, so it's basically a 50/50 chance that any significant outperformance is seen in any given month. The true strength of this strategy is to be out of the market during large, sharp declines and capitalizing on the opportunities presented at the bottom of those declines by buying the dip. Given that such price action does not happen every month, outperformance in the initial months of use is approximately as likely as underperformance. 9. Access Those who are interested in using this strategy may send a personal message to inquire about how to gain access. Those who are interested in acquiring the sample dataset of backtest results may send a personal message to request a copy of the data.
استراتيجية Pine Script®
من ‎anon2414691‎
7
Trend trader StrategyFirst I would like to thank to @JustUncleL since this strategy started from one of his scalper strategies This strategy can be adapted to all time charts . First it has the session where we want to trade, for this example I choosed the EURUSD so I only take in consideration london/neywork session. Its made from 3 EMA : normal slow ultra slow It has has the capacity to use HA candles into consideration if its needed. At the same time we have a price channel made from faster MAs, that act like a bollinger band . Together with all of them, we establish which trend we have if its uptrend or downtrend Then we check the candles if they are below or above the MA , and based on the condition if they crossed recently we can suggest if its a buy or a long condition At the same time we have 2 options of stop conditions: Through a trailing stop made from ATR or % based And second, a SL/TP made from pip points or % based. For this example I used % based. Let me know what you think about it, and if you found some nice settings for it. So far I only adapted to EURUSD 1 min time.
استراتيجية Pine Script®
من ‎SoftKill21‎
Auto S/R With Swing TradingIn this indicator, you can simply get the automatic support and resistance line. With this indication of High and Low by H and L with blue line support and resistance. The second part is the swing trading setup. Green line means the upside continue with BUY signal. Yellow Line means a Trend reversal No Trading Zone & wait for the signal. Red line indicates that the downside continues with the SELL signal.
مؤشر Pine Script®
من ‎UnknownUnicorn1044104‎
10
Multi Time Frame - Trade Setup ( MTF-TS )This is Beta version of the Indicator and works on Multi Time Frame Analysis with Hybrid Moving Averages and RSI Applicability : Index Trading / Equities and on proper analysis you may use it for Option Trading also. As part of the Indicator there are 4 Choices that the user can opt for Show Intraday Trades - This works for Intraday Trades - when the resolution is kept to less than 1 hour ( Say 3 , 5 , 10 , 15 Mins) Show Short Term Trades - This works well when the resolution is kept to 1 Day - Good for Swing Trades spanning over a few days Show Long Term Trades - This works well when the resolution is kept to 1 Day or Week - Good for Investments Show Trend Line - Will show the user the Simple Moving Average 20 based on the resolution selected , The Trend Line Is a repainted based on the hybrid RSI Logic The Trend Line would show in three colours Green : The Setup is in Up Trend- Try to take the trade as closer to the band as possible and when it continues to be in green ( and recommended when it would have just crossed from Red/Yellow to Green ) Red : The Setup is in Down Trend - Try to take the trade as closer to the band as possible and when it continues to be in red ( and recommended when it would have just crossed from Green/Yellow to Red ) Yellow : The Setup in sideways Trend Visual Checks - It is always recommended to enter/exit the trade it it touches crosses over the Trend Line from one side to the other When closer to the support resistance bands , wait for a confirmation candle to determine if you are getting resistance breakout / support or breakdown Stop Loss - That should be done by following ones risk appetite , Ideally the open/close of the previous candle should be the stop loss for the buy/sell but everyone has their own Risk Management Strategies based on the capital deployed. Disclaimer : There could be scenarios when the breakout/breakdown candle is rejected , especially when it is long one so it is always recommended to have a confirmation candle that open-closes above the breakout candle / open-closes below the breakdown candle If you like it and find it useful or if you find a defect or bug , Please let us know in the comments .. that would encouraging !! for us to develop it further Thank you and have a beautiful trading session !
مؤشر Pine Script®
من ‎SmartCaps‎
3
KINSKI Laguerre Filter WaveThe "Laguerre Filter Wave" Indicator usually shows market cycles and is a perfect fit for swing traders who trade with market fluctuations. Upward-trends are shown as green lines and optional bands. Downward trends are represented by the color red. Each of the 18 available lines can be adjusted to your own preferences via a gamma factor. You also have the following display options: - "Up/Down Movements: On/Off" - Shows ascending and descending of lines - "Bands: On/Off" - Fills the space between the lines with colors to indicate up or down trends - "Bands: Transparency" - sets the transparency of the fill color - "MA Line: Size" - sets the width of the lines - "MA Line: Transparency" - sets the transparency of the lines
مؤشر Pine Script®
من ‎KINSKI‎
7
Multi Time Frame - Trade Entry PointsThis is Beta version of the Indicator and works on Multi Time Frame Analysis As part of the Indicator there are 5 Choices that the user can set up Show Intraday Trades - This works for Intraday Trades - when the resolution is kept to less than 1 hour Show Short Team Trades - This works well when the resolution is kept to 1 Day - Good for swing Trades spanning over a few days Show Long Term Trades - This works well when the resolution is kept to 1 Day or Week - Good for Investments Show SMA20 - Will show the user the Simple Moving Average 20 based on the resolution selected Show DMA20 - Will show the user the Daily Moving Average 20 based on the resolution selected Buy Entry Points - Would be shown as a Green Arrow below the bar Sell/Short Entry Points - Would be shown as a Red Arrow Above the bar Visual Checks - It is always recommended to exit the trade it it touches SMA20 Stop Loss - That should be done by following ones risk appetite , Ideally the open/close of the previous candle should be the stop loss for the buy/sell but everyone has their own Risk Management Strategies based on the capital deployed. Disclaimer : There could be scenarios when the candle is shown as a buy or sell and then the candle turns into opposite direction red/green . In such scenarios , Please refer to the just preceding candle and if this candle is moving into positive direction (forming green candle) only then buy , Similarly Sell/Short only if this candle is forming a red candle
مؤشر Pine Script®
من ‎SmartCaps‎
Swing King v1Utilising short and medium term trends, Swing King is perfect for riding the crypto waves. Built with the aim of smashing Bitcoin’s buy and hold return. After 5 months (Jan 2020 to May 2020) of testing and tweaking, Swing King is ready for release. Setup with default Bitcoin settings, Swing King returned 289% in the 5 months of testing compared to buy and hold return of 29%. That’s by longing and shorting 100% of equity at 1x leverage. Results of 5 months of testing: 1 bitcoin → 3.02 bitcoin $7,340usd → $28,589usd Backtesting on Ethereum had similar results. In 6 months it turned 10 eth into 14.5 eth and doubled the bitcoin value - compared to a buy and hold value of 31%. These results were achieved with: - Using 0.2% fees and slippage for worst case scenario - Not using Heiken Ashi candles to fake backtest results - No stop loss and 30% long take profit Expect to be in trades for days and keep your losses small while letting the winners run. Also includes trend weakening signals for manual take profit zones (cross is bullish trend weakening and triangle is bearish trend weakening) and colour coded barcolours to keep trading simple. Green = all signals met to long Red = all signals met to short DM for access and pricing. Places will be limited.
مؤشر Pine Script®
من ‎btcjeanralphio‎
27
[KICK] NutshellThe Nutshell indicator gives you a true read of the market at quick glance – “in a nutshell”. The indicator contains components for volatility, momentum, trend strength, volume flow, price divergence detection, and impulsive move detection. This allows you to discern improved entry and exit points and accommodates many trading styles, systems, and strategies. It will work with most instruments and timeframes (though a few of the components do require volume, so some things like indexes won't work). The specific components of the indicator are: Price action volatility indicator (the background zig-zags that are purple, orange, red, and pink). We are using a percentile ranking of ATR which gives a broader picture of the price volatility intra-bar than something like historical volatility percentile because it encompasses the range of price action and not simply the close of each bar. It is typically best to enter trades in the purple zone and “ride them out” through the higher volatility intervals. Low volatility warning indicator (the bright green background highlights). When the ATR-PR is critically low, that means price volatility can only go on way (expand). These warnings are key to volatility strategies where knowing large moves are imminent is critical. While these warnings do not indicate the direction of the imminent move, there are plenty of other directional indicators present. Gravity Tunnel Squeeze indicator (the yellow dots down the center-line, culminating in a yellow background highlight upon release). This is a slightly different take on the Momentum Squeeze indicator. In the traditional implementation a squeeze occurs when Keltner Channels move inside Bollinger Bands. In our implementation we use the Center of Gravity as a basis and measure when the Z-Score Deviation moves inside an ATR multiple. At the point of release you typically see an expansion of volatility, though often the signal presents earlier than an ATR-PR expansion. The longer the price action was under the squeeze the longer/farther the released price action is likely to go. Swing Momentum indicator (white line with various red/green dots on it). The swing momentum indicator uses stochastic oscillators in the style of the ever-popular “Wave Trend” indicator to give a responsive read on the price action momentum. Green and Red dots indicate a change in direction of the momentum and when these occur in the extreme the center of the dot will be a black cross. Usually these extreme direction changes denote larger trend changes. Momentum velocity indicator (blue area fill). This indicator can be used with the swing momentum line to determine how close/far the next direction change is away (every time the blue line crosses the zero-line a direction change occurs). The steeper the slope of this line also gives an indication of how fast the swing momentum is accelerating or decelerating. Volatility Adjusted Volume Waves (the red/green dots across the top of the indicator) denote the current direction of price action based on cumulative volume weighted based on the ATR of the associated price action. While they are slower to respond than some of the other directional momentum components of this indicator, they can be treated as a pretty strong (conservative) confirmation of trend direction. Strength of Trend (the blue/orange dots across the bottom of the indicator) is indicated with a Leaf-West variant of the ADX. Basically, if you see orange the price action is considered choppy and if it’s blue it’s trending. Depending on your time frame you can interpret these a bit differently. On smaller time frames you might consider the orange areas no-trade zones and wait until it turns blue. Topping or Bottoming moves (Red triangles at the top or Green triangles at the bottom). We use a series of methods to detect likely reversal points (including checks for 10+ oscillator/price divergences). Since divergence is only confirmed after new local price highs/lows are established these reversal points won’t always be accurate, but we want to provide the earliest warning possible. Keep this in mind when taking action on them and wait a few bars for confirmation to be more conservative. Pump and Dump warnings (red/green spirals that appear in the center of the indicator). Using 3rd generation moving average stochastics we get a very sensitive read on when they form patterns that typically precede large price action movements. These patterns work better for some markets than others so you will have to test with your instrument and timeframe to see how accurate they are for you. If you get one of these in conjunction with a red/green triangle and/or just after a low volatility or GT-Sqz release highlight, then buckle up. The indicator also includes a number of custom alert conditions (all related to the above indicator components) that can be used to create alerts. Use the link below to watch a tutorial video, request a trial, or purchase for access.
مؤشر Pine Script®
من ‎CryptoKick‎
10
TradeSense Breakout Strategy v1TradeSense is a Renko brick breakout trading system for short-term or intraday trade. It is also a trend following strategy using a confluence of multiple MA's to spot the underlying trend. Exit and Stop Loss is based on dynamic ATR to predict possible target based on ticker's real time volatility. So far this has been back-tested on major cyrptos, and the same concept is applicable to other asset types. It is more suitable for lower timeframes (such as the 30m, 15m, and 5m) though you may try adjusting the parameters for higher timeframes. Feel free to backtest it and comment below! Optimum parameters: BTCUSD-15m - Noise Filter: 1 - ATRLength : 15 - SL coefficient : 2.0 - TP coefficient : 1.5 ETHUSD-15m - Noise Filter: 7 - ATRLength : 16 - SL coefficient : 2.0 - TP coefficient : 1.5
استراتيجية Pine Script®
من ‎TradeSenseTV‎
10
Buy BTC Helper -* Buy SPOT, sell to USD -Alerts- By Che_TraderThis is the alert version of my strategy "Buy BTC Helper - Buy SPOT, sell to USD (BTC-ETH) - By Che_Trader" For more information visit the link below ***************************************************************************************************************************************************************************** To get access, you can send me a PM here or at a link in the tradingview profile. *****************************************************************************************************************************************************************************
مؤشر Pine Script®
من ‎Che_Trader‎
2
Simple Tops/Bottoms, [JackT]A percentage (pyramid) script for BTC/USD, Daily. Breakdown The script is following one simple rule: - Percentage orders based on volume This is a pyramid setup based on volume but I am handling each order manually which makes it a custom pyramid strategy. Instead of doing 100% portfolio sell/buy orders this script focuses on the momentum of volume and calculates a percentage of the portfolio that should be traded. The percentage rises with the level of continuous orders with the same type. This means that if a second sell order is emitted before any buy order the percentage to sell is gradually increased to be higher than the previous sell order. And vise verca with buy orders. The calculation is exponential rising but it also makes sure that the trade rarely reaches 100%. This enables the script to stay in the market on almost all opportunties given by the indicators. How to use The script is created from 3 indicators including Lucid SAR which helps to indicate the major trend. It is possible to change the settings of the script in order to change the outcome. The settings is fitted to work with BTC/USD and the same settings works somewhat okay with ETH/USD aswell. Though I would recommend to fit the settings to work better with other pairs. As mentioned, the script focuses on volume , which mean that it works better with major coins. Enjoy the script and please let me know your thoughts! //JackT
استراتيجية Pine Script®
من ‎JackTz‎
2
Strategy - Bobo Intraday Swing Bot with filtersThis is an adapted version of my swing bot with additional filters that mean it works quite well on lower timeframes like 1min, 5 mins as long as you adjust the setting accordingly (reduce pivot timescale, band width) Entry conditions are filtered by an invisible trend calculation running in the background so the bot doesn't repeatedly try and fail to fade a strong trend. It has just about everything you should need for basic use, stop losses and targets, automatically close trade at pivot. I get good results on rangey instruments like major indices such as SPX / ES that kind of thing. Make sure you understand the minmum tick value of an index so the stop setting on the bot work properly Hope it's useful!
استراتيجية Pine Script®
من ‎BobVanders‎
11