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Pro Trading Art Open Range Breakout StrategyThis strategy is based on Selected Candle High Low Breakout with buffer point. You can select specific candle from input tab by giving time of that candle. Default Settings: Start Hour : Hour of starting candle means from this input you can specify opening candle. Default is 9. Start Minute: Minute of starting candle. Default is 15. Means Default opening candle is 9:15 Stop Hour : Means After this time no new trade will execute. End Hour & End Minute & Close All Trade : Means when you specify End Hour and Minute and Close all trade is true then strategy will close all trade on specified time. Buffer : With the help of this option you can add some point in High and low of Opening Candle Trade Mode : You can specify Target and Stop Loss in point or Percent Stop Loss Point or Percent : This will work according to Trade Mode Target Point Or Percent : This will work according to Trade Mode
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protradingart의
5
Risk Management Strategy TemplateThis strategy is intended to be used as a base template for building new strategies. It incorporates the following features: Risk management: Configurable X% loss per stop loss Configurable R:R ratio Trade entry: Calculated position size based on risk tolerance Trade exit: Stop Loss currently configurable ATR multiplier but can be replaced based on strategy Take Profit calculated from Stop Loss using R:R ratio Backtesting: Configurable backtesting range by date Trade drawings: TP/SL boxes drawn for all trades. Can be turned on and off Trade exit information labels. Can be turned on and off NOTE: Trade drawings will only be applicable when using overlay strategies Debugging: Includes section with useful debugging techniques Strategy conditions Trade entry: LONG C1: Price is above EMA line C2: RSI is crossing out of oversold area SHORT C1: Price is below EMA line C2: RSI is crossing out of overbought area Trade exit: Stop Loss: Stop Loss ATR multiplier is hit Take Profit: R:R multiplier * Stop Loss is hit The idea is to use RSI to catch pullbacks within the main trend. Note that this strategy is intended to be a simple base strategy for building upon. It was not designed to be traded in its current form.
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kevinmck100의
10
Accumulation Stage Identifier and Strategy around for TradingIn the psychology of trading at any market condition, there are four stage usually occurs on any tickers. Stage 1 -> Neglect phase or consolidation phase It occurs when the company does not produce the expected result and waiting for next result. It can extend for days, weeks, months and years. Never give entry at this stage though that blue-chip told to be cheaper in price. Stage 2 -> Accumulation It occurs when the company's earning and sales consistently grows. It can extend for days, weeks, months but should not expect the continues increase in price, as there will be potential pull-back which can be considered as opportunity to accumulate. If the company fundamental is good, just give some space at the time of pullback. Most of the time, the pullback volume will be low to compare to volume at the time of increase. Usually, the stock that is going through accumulation stage will definitely trade above 200SMA and short term MA will be greater than long term moving average. Continues the highest high and highest low along with volume. Stage 3 -> Distribution It occurs when the company's earning and sales stagnated due to certain reason. It can extend for days, weeks while the price and volume highly volatile. High volume while the price low Typically, the stock that is going through distribution stage will certainly trade below 200SMA and short term MA will be lesser than long term moving average. Continues the lowest high and lowest low along with volume. Stage 4 -> Capitalization Price reaches the 52W low while volume spikes on big down. In each stage, the price & volume are perfect indicator to highlight the situation and the trader with proper discipline and patients can certainly reap the fruitful outcome of accumulation stage. Based on this explanation, here is the strategy that is created with 50,90 & 200 Simple moving average and price volume trends (PVT) indicator applied on MACD to signal whenever the PVT convergence and divergence. Note: As the indicator designed to signal on the ticker that trade above 200 moving average, it is good to use this strategy on companies that are fundamental strong. Whenever, there is pull back happens, the strategy might signal for exit, however, here comes the traders patient based on the conviction on the particular chosen stocks. White being patient is good, disciplinary in following the strategy also important. Hence, consider the action when the stock goes opposite direction from your expectation. Hope this strategy would help you find the profit. Happy investing.
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stocktechbot의
1
VWAP Push StrategyThis strategy is unfortunately not finished yet. A pretty simple strategy. If price broke through VWAP and had three consecutive candles following the breakthroughs trend, the high of the third candle will be drawn. If this happened after a crossover of the vwap and price breaks through the high of the third candle, strategy will go long. Short will be the same after crossing under the vwap. A long or short will be closed after crossing the vwap in the opposite direction, so the vwap is kind of a trailing stop. Unfortunately, I could not manage to stop the script from entering multiple times into one drawn high or low. Of course, if a high was crossed the script should wait for a new formed high before entering a new long. If someone would find a solution to this, it would be great, because I think it is a nice strategy . Should work great scalping 5min charts (when scripting, I used the SPX for reference).
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christopher451의
Consolidation Breakout [Indian Market Timing]OK let's get started , A Day Trading (Intraday) Consolidation Breakout Indication Strategy that explains time condition for Indian Markets . The commission is also included in the strategy . The basic idea is , 1) Price crosses above upper band , indicated by a color change (green) is the Long condition . 2) Price crosses below lower band , indicated by a color change (red) is the Short condition . 3) ATR is used for trailing after entry // ═══════════════════════════════// // ————————> TIME CONDITION <————————— // // ═══════════════════════════════// The Indian Markets open at 9:15am and closes at 3:30pm. The time_condition specifies the time at which Entries should happen . "Close All" function closes all the trades at 2:57pm. All open trades get closed at 2:57pm , because some brokers dont allow you to place fresh intraday orders after 3pm. NSE:NIFTY1! // ═══════════════════════════════════════════════ // // ————————> BACKTEST RESULTS ( 114 CLOSED TRADES )<————————— // // ═══════════════════════════════════════════════ // LENGTH , MULT (factor) and ATR can be changed for better backtest results. The strategy applied to NIFTY (3 min Time-Frame and contract size 5) gives us 60% profitability , as shown below It was tested for a period a 8 months with a Profit Factor of 2.2 , avg Trade of 6000Rs profit and Sharpe Ratio : 0.67 The graph has a Linear Curve with consistent profits. NSE:NIFTY1! Save it favorites. Apply it to your charts Now !! Thank me later ;)
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The_Algo_Engineer의
3
X48 - Strategy | MA Type Cross + TPSL | Future&Spot | V.2Thank You For Open Source Code, This Strategy Ref. By 1.Simple Strategy Like MA Crossover For Long/Short or Spot Trade, 2. CDC Action Zone V.2 for BarPaint This Strategy Mixing With MA Crossover Strategy and BarPaint By CDC Action Zone and TP/SL by Varbara ### How To Use Strategy : Setting EMA/SMA Crossover EMA/SMA, Any Value If You Want For Long Position : Cross Up For Short Position : Cross Down Can Use With Spot Trade : Cross Up = Buy, Cross Down = Sell TP/SL When Your OrderSize Change From any % Of Your TP/SL Value ### In Strategy Setting Intitial Capital = Ex. 200 Order Size = Should Be Money Management Not Use 100% of Capital Ex. 10% of Capital (200$) = Order Size 20$ StopLoss and Take Profit = If You Run Trend TF 4H+ or 1D+ You Can Change TP% = 1,000% for nonlimit and Stop Loss 5 - 20% from your order size Ex. Stoploss 15% = OrderSize / 100 x %SL = 20$/100 x 15% = 3$ Loss from order size 20$ (if you not set stop loss.) Base Currency = (Your Currency) # Ex. USD Commission = (Your Trading Fee) # Ex. Future Fee Can Check At Binance Fee Rate > www.binance.com > Choose Your Fee Type, Ex. USD M Future (Regular User) = 0.02 (Maker), 0.04 (Taker) Commission Symbol Type = % # (Ref. By Binance Fee Rate) ### Notice #### Default Setting It's Realistic From Normal Life Ex. Capital 200$ / Ordersize 20$ (10%)/ Commission 0.1% (Buy+Sell) / Slippage = 2 / TP = 1000% (nonlimit) / SL = 15%/OrderSize Low Risk But High Return, Good Luck ### Bot Auto Trade by X4815162342 ### if you wanna try my bot auto trade X48-3in1-bot : Contact My Line ID : x4815x Full Command Alert For This Strategy If You Wanna See It's '{"ex":"'+markettype+'","side": "'+longcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}' '{"ex":"'+markettype+'","side": "'+shortcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}' But Easy Than Full Command Just Use Thisssssss !! Strategy Be Manage Auto Long and Short or TPSL Position You Don't Do Anything Just Use This Message to Alerts Message {{strategy.order.alert_message}} ### If you don't use bot but just looking for strategy test #### Just Pass Bot Setting Function It's Nothing Effect For Strategy !!!!!! Let's Enjoy With Your Strategy BackTest 😁 Remember Beware Max drawdown%. I'm Recommend Lower Than 10% It's Very Good.
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X4815162342의
7
Monthly Returns of a Strategy in a ChartIt's a simple example of how you can present your strategy's monthly performance in a chart. You maybe know that there is no support of these kind of charts in TradingView so this chart is actually a table object under the hood. Table visual appearance is customizable, you can change: Location Bar Width / High Colors Thanks to @MUQWISHI for hard work, for helping me coding it. It's not about the strategy itself but the way you display returns on your chart. So pls don't critique my choice of the strategy and its performance 🙂 Disclaimer Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don’t provide any financial advice.
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QuantNomad의
8
Triple RSI strategyThis strategy is commonly used both in forex and stock markets for reversal trading. when the rsi line reaches and crosses simultaneously at 3 rsi setups i.e at 7, 14, and 21, a signal is generated. This strategy works best in 1-hour timeframe. It provides over 60 to 80 percent accuracy in 1-hour timeframe. In the stock market, this strategy provides an excellent entry point, if one is seeking small profits. One can expect to make around 10 to 50 pips in the forex market easily. However, I advise seeking support from price action from the lower timeframe in the forex market. I hope you like it. Follow for more strategies and scripts like this.
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Trade_by_DB의
Fast v Slow Moving Averages Strategy (Variable) [divonn1994]This is a simple moving average based strategy that takes 2 moving averages, a Fast and a Slow one, plots them both, and then decides to enter a 'long' position or exit it based on whether the two lines have crossed each other. It goes 'long when the Fast Moving Average crosses above the Slow Moving Average. This could indicate upwards momentum in prices in the future. It then exits the position when the the Fast Moving Average crosses back below. This could indicate downwards momentum in prices in the future. This is only speculative, though, but sometimes it can be a very good indicator/strategy to predict future action. I've tried some strategy settings and I found different promising strategies. Here are a few: BTCUSD ( BitStamp ) 1 Day Timeframe : EMA, Fast length 25 bars, Slow length 62 bars => 28,792x net profit (default) BTCUSD ( BitStamp ) 1 Day Timeframe : VWMA, Fast length 21 bars, Slow length 60 bars => 15,603x net profit BTCUSD ( BitStamp ) 1 Day Timeframe : SMA, Fast length 18 bars, Slow length 51 bars => 19,507x net profit BTCUSD ( BitStamp ) 1 Day Timeframe : RMA, Fast length 20 bars, Slow length 52 bars => 5,729x net profit BTCUSD ( BitStamp ) 1 Day Timeframe : WMA, Fast length 29 bars, Slow length 60 bars => 19,869x net profit Features: -You can choose your preferred moving average: SMA , EMA , WMA , RMA & VWMA . -You can change the length average for each moving average -I made the background color Green when you're currently in a long position and Red when not. I made it so you can see when you'd be actively in a trade or not. The Red and Green background colors can be toggled on/off in order to see other indicators more clearly overlayed in the chart, or if you prefer a cleaner look on your charts. -I also have a plot of the Fast moving average and Slow moving average together. The Opening moving average is Purple, the Closing moving average is White. White on top is a sign of a potential upswing and purple on top is a sign of a potential downswing. I've made this also able to be toggled on/off. Let me know if you think I should change anything with my script, I'm always open to constructive criticism so feel free to comment below :)
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djthefreeway의
6
VXD Cloud Edition for Python-Binance-bots.VXD Cloud Edition for Python-Binance-bots. to overcome sideways market conditions this cloud configured for low timeframe. every TA is same as VXD Cloud Edition but custom alert message for bots. Risk:Reward Calculation Risk of Ruin Setting can now selected between Fixed $ or % if Buy your Stoploss will be Swing low if Sell your Stoploss will be Swing high and can be setting at Pivot Setting then Auto Position Sizing and TP line will be calculated form there and will show in Orange color line (Draw Position Box is available) Tailing SL when price greater than RR=1 Alert Setting {{strategy.order.alert_message}} Python-Bot github.com There are 2 mode : one-way mode and hedge mode is different script in my Github profile. read README.MD and there's video tutorial in thai language. Pls study app.py and it's script before deploy for your own safty and your own risk, I'm NOT responsible for your loss.
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Vvaz_의
2
Close v Open Moving Averages Strategy (Variable) [divonn1994]This is a simple moving average based strategy that works well with a few different coin pairings. It takes the moving average 'opening' price and plots it, then takes the moving average 'closing' price and plots it, and then decides to enter a 'long' position or exit it based on whether the two lines have crossed each other. The reasoning is that it 'enters' a position when the average closing price is increasing. This could indicate upwards momentum in prices in the future. It then exits the position when the average closing price is decreasing. This could indicate downwards momentum in prices in the future. This is only speculative, though, but sometimes it can be a very good indicator/strategy to predict future action. What I've found is that there are a lot of coins that respond very well when the appropriate combination of: 1) type of moving average is chosen (EMA, SMA, RMA, WMA or VWMA) & 2) number of previous bars averaged (typically 10 - 250 bars) are chosen. Depending on the coin.. each combination of MA and Number of Bars averaged can have completely different levels of success. Example of Usage: An example would be that the VWMA works well for BTCUSD (BitStamp), but it has different successfulness based on the time frame. For the 12 hour bar timeframe, with the 66 bar average with the VWMA I found the most success. The next best successful combo I've found is for the 1 Day bar timeframe with the 35 bar average with the VWMA.. They both have a moving average that records about a month, but each have a different successfulness. Below are a few pair combos I think are noticeable because of the net profit, but there are also have a lot of potential coins with different combos: It's interesting to see the strategy tester change as you change the settings. The below pairs are just some of the most interesting examples I've found, but there might be other combos I haven't even tried on different coin pairs.. Some strategy settings: BTCUSD (BitStamp) 12 Hr Timeframe : 66 bars, VWMA=> 10,387x net profit BTCUSD (BitStamp) 1 Day Timeframe : 35 bars, VWMA=> 7,805x net profit BNBUSD (Binance) 12 Hr Timeframe : 27 bars, VWMA => 15,484x net profit ETHUSD (BitStamp) 16 Hr Timeframe : 60 bars, SMA => 5,498x net profit XRPUSD (BitStamp) 16 Hr Timeframe : 33 bars, SMA => 10,178x net profit I only chose these coin/combos because of their insane net profit factors. There are far more coins with lower net profits but more reliable trade histories. Also, usually when I want to see which of these strategies might work for a coin pairing I will check between the different Moving Average types, for example the EMA or the SMA, then I also check between the moving average lengths (the number of bars calculated) to see which is most profitable over time. Features: -You can choose your preferred moving average: SMA, EMA, WMA, RMA & VWMA. -You can also adjust the previous number of calculated bars for each moving average. -I made the background color Green when you're currently in a long position and Red when not. I made it so you can see when you'd be actively in a trade or not. The Red and Green background colors can be toggled on/off in order to see other indicators more clearly overlayed in the chart, or if you prefer a cleaner look on your charts. -I also have a plot of the Open moving average and Close moving average together. The Opening moving average is Purple, the Closing moving average is White. White on top is a sign of a potential upswing and purple on top is a sign of a potential downswing. I've made this also able to be toggled on/off. Please, comment interesting pairs below that you've found for everyone :) thank you! I will post more pairs with my favorite settings as well. I'll also be considering the quality of the trades.. for example: net profit, total trades, percent profitable, profit factor, trade window and max drawdown. *if anyone can figure out how to change the date range, I woul really appreciate the help. It confuses me -_- *
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djthefreeway의
2
Inside Bar SetupScript Details - This script plots Inside Bar for given day in selected time-frame (applicable only for Timeframes < Day) - Basis plotted inside bar, relevant targets are marked on the chart - Targets can be customised from script settings. Example, if range of mother candle is 10 points, then T1 is 10 * x above/below mother candle and T2 is 10 * y above/below mother candle. This x & y are configured via script settings How to use this script ? - This script works well on 10-15 mins timeframe for stocks, 15/30 mins timeframe for nifty index and 30/60 mins time frame for bank nifty index - If mother candle high is broken, take long trade with SL of mother candle low and if low is broken, take short trade with SL of mother candle high Remember: 1. Above logic is to be combined with support/resistances i.e. price action. This script is an add-on to price action analysis giving you more conviction. 2. If range of mother candle is very high, it is recommended to avoid the trade. 3. Basis inside bar formed on higher time frame, take trade on basis of lower time frame i.e if inside bar is formed on 60 mins, take trade on the basis of 10-15 mins time frame Example: 1. As seen in the chart, Nifty is near it's resistance and we are seeing Inside Bar being formed, In such scenario, even if High of Mother Candle is broken, we should be more interested to short as we are near resistance and probability of getting our targets in long side is less. 2. So, if I see breakdown of mother candle i.e. price going below low of mother candle, we will short with SL of high of mother candle. 3. As seen in the chart, both the targets are achieved. Additional Info: 1. Targets on Long/Short Side can be configured via settings. For indices 1 times/1.5 times the range works well. 2. This script plots targets basis the first inside bar formed in the day for selected time frame. 3. Inside bars formed through out the day are coloured separately but lines are plotted only on the basis of 1st formed inside bar as this strategy works well for the first formed inside bar) 4. Don't forget to check volume in case of breakout/breakdown. Note: 1. Mother Candle - First Candle of Inside Bar 2. Child Candle - Candle formed inside Mother Candle (Second Candle of Inside Bar) Happy Trading :)
Pine Script® 인디케이터
dixitsoham7의
44
TriexDev - SuperBuySellTrendMinimal but powerful. Have been using this for myself, so thought it would be nice to share publicly. Of course no script is correct 100% of the time, but this is one of if not the best in my basic tools. Two indicators will appear, the default ATR multipliers are already set for what I believe to be perfect for this particular (double indicator) strategy. If you want to break it yourself (I couldn't find anything that tested more accurately myself), you can do so in the settings. Basic rundown: A single Buy/Sell indicator in the dim colour; may be setting a direction change, or just healthy movement. When the brighter Buy/Sell indicator appears; it often means that a change in direction (uptrend or downtrend) is confirmed. You can see here, there was a (brighter) green indicator which flipped down then up into a (brighter) red sell indicator which set the downtrend. Once you understand the basics of how it works - it can become a very useful tool in your trading arsenal. Typically I will use this and other indicators to confirm likeliness of a direction change prior to the brighter/confirmation one appearing - but just going by the 2nd(brighter) indicators, have found it to be surprisingly accurate. Tends to work well on virtually all timeframes, but personally prefer to use it on 5min,15min,1hr, 4hr, daily, weekly. Will still work for shorter/other timeframes, but may be more accurate on mid ones.
Pine Script® 인디케이터
Xeirt의
6
VIDYA Trend StrategyOne of the most common messages I get is people reaching out asking for quantitative strategies that trade cryptocurrency. This has compelled me to write this script and article, to help provide a quantitative/technical perspective on why I believe most strategies people write for crypto fail catastrophically, and how one might build measures within their strategies that help reduce the risk of that happening. For those that don't trade crypto, know that these approaches are applicable to any market. I will start off by qualifying up that I mainly trade stocks and ETFs, and I believe that if you trade crypto, you should only be playing with money you are okay with losing. Most published crypto strategies I have seen "work" when the market is going up, and fail catastrophically when it is not. There are far more people trying to sell you a strategy than there are people providing 5-10+ year backtest results on their strategies, with slippage and commissions included, showing how they generated alpha and beat buy/hold. I understand that this community has some really talented people that can create some really awesome things, but I am saying that the vast majority of what you find on the internet will not be strategies that create alpha over the long term. So, why do so many of these strategies fail? There is an assumption many people make that cryptocurrency will act just like stocks and ETFs, and it does not. ETF returns have more of a Gaussian probability distribution. Because of this, ETFs have a short term mean reverting behavior that can be capitalized on consistently. Many technical indicators are built to take advantage of this on the equities market. Many people apply them to crypto. Many of those people are drawn down 60-70% right now while there are mean reversion strategies up YTD on equities, even though the equities market is down. Crypto has many more "tail events" that occur 3-4+ standard deviations from the mean. There is a correlation in many equities and ETF markets for how long an asset continues to do well when it is currently doing well. This is known as momentum, and that correlation and time-horizon is different for different assets. Many technical indicators are built based on this behavior, and then people apply them to cryptocurrency with little risk management assuming they behave the same and and on the same time horizon, without pulling in the statistics to verify if that is actually the case. They do not. People do not take into account the brokerage commissions and slippage. Brokerage commissions are particularly high with cryptocurrency. The irony here isn't lost to me. When you factor in trading costs, it blows up most short-term trading strategies that might otherwise look profitable. There is an assumption that it will "always come back" and that you "HODL" through the crash and "buy more." This is why Three Arrows Capital, a $10 billion dollar crypto hedge fund is now in bankruptcy, and no one can find the owners. This is also why many that trade crypto are drawn down 60-70% right now. There are bad risk practices in place, like thinking the martingale gambling strategy is the same as dollar cost averaging while also using those terms interchangeably. They are not the same. The 1st will blow up your trade account, and the 2nd will reduce timing risk. Many people are systematically blowing up their trade accounts/strategies by using martingale and calling it dollar cost averaging. The more risk you are exposing yourself too, the more important your risk management strategy is. There is an odd assumption some have that you can buy anything and win with technical/quantitative analysis. Technical analysis does not tell you what you should buy, it just tells you when. If you are running a strategy that is going long on an asset that lost 80% of its value in the last year, then your strategy is probably down. That same strategy might be up on a different asset. One might consider a different methodology on choosing assets to trade. Lastly, most strategies are over-fit, or curve-fit. The more complicated and more parameters/settings you have in your model, the more likely it is just fit to historical data and will not perform similar in live trading. This is one of the reasons why I like simple models with few parameters. They are less likely to be over-fit to historical data. If the strategy only works with 1 set of parameters, and there isn't a range of parameters around it that create alpha, then your strategy is over-fit and is probably not suitable for live trading. So, what can I do about all of this!? I created the VIDYA Trend Strategy to provide an example of how one might create a basic model with a basic risk management strategy that might generate long term alpha on a volatile asset, like cryptocurrency. This is one (of many) risk management strategies that can reduce the volatility of your returns when trading any asset. I chose the Variable Index Dynamic Average (VIDYA) for this example because it's calculation filters out some market noise by taking into account the volatility of the underlying asset. I chose a trend following strategy because regressions are capturing behaviors that are not just specific to the equities market. The more volatile an asset, the more you have to back-off the short term price movement to effectively trend-follow it. Otherwise, you are constantly buying into short term trends that don't represent the trend of the asset, then they reverse and loose money. This is why I am applying a trend following strategy to a 4 hour chart and not a 4 minute chart. It is also important to note that following these long term trends on a volatile asset exposes you to additional risk. So, how might one mitigate some of that risk? One of the ways of reducing timing risk is scaling into a trade. This is different from "doubling down" or "trippling down." It is really a basic application of dollar cost averaging to reduce timing risk, although DCA would typically happen over a longer time period. If it is really a trend you are following, it will probably still be a trend tomorrow. Trend following strategies have lower win rates because the beginning of a trend often reverses. The more volatile the asset, the more likely that is to happen. However, we can reduce risk of buying into a reversal by slowly scaling into the trend with a small % of equity per trade. Our example "VIDYA Trend Strategy" executes this by looking at a medium-term, volatility adjusted trend on a 4 hour chart. The script scales into it with 4% of the account equity every 4-hours that the trend is still up. This means you become fully invested after 25 trades/bars. It also means that early in the trade, when you might be more likely to experience a reversal, most of your account equity is not invested and those losses are much smaller. The script sells 100% of the position when it detects a trend reversal. The slower you scale into a trade, the less volatile your equity curve will be. This model also includes slippage and commissions that you can adjust under the "settings" menu. This fundamental concept of reducing timing risk by scaling into a trade can be applied to any market. Disclaimer: This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
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TradeAutomation의
5
Breakout Probability (Expo)█ Overview Breakout Probability is a valuable indicator that calculates the probability of a new high or low and displays it as a level with its percentage. The probability of a new high and low is backtested, and the results are shown in a table— a simple way to understand the next candle's likelihood of a new high or low. In addition, the indicator displays an additional four levels above and under the candle with the probability of hitting these levels. The indicator helps traders to understand the likelihood of the next candle's direction, which can be used to set your trading bias. █ Calculations The algorithm calculates all the green and red candles separately depending on whether the previous candle was red or green and assigns scores if one or more lines were reached. The algorithm then calculates how many candles reached those levels in history and displays it as a percentage value on each line. █ Example In this example, the previous candlestick was green; we can see that a new high has been hit 72.82% of the time and the low only 28.29%. In this case, a new high was made. █ Settings Percentage Step The space between the levels can be adjusted with a percentage step. 1% means that each level is located 1% above/under the previous one. Disable 0.00% values If a level got a 0% likelihood of being hit, the level is not displayed as default. Enable the option if you want to see all levels regardless of their values. Number of Lines Set the number of levels you want to display. Show Statistic Panel Enable this option if you want to display the backtest statistics for that a new high or low is made. (Only if the first levels have been reached or not) █ Any Alert function call An alert is sent on candle open, and you can select what should be included in the alert. You can enable the following options: Ticker ID Bias Probability percentage The first level high and low price █ How to use This indicator is a perfect tool for anyone that wants to understand the probability of a breakout and the likelihood that set levels are hit. The indicator can be used for setting a stop loss based on where the price is most likely not to reach. The indicator can help traders to set their bias based on probability. For example, look at the daily or a higher timeframe to get your trading bias, then go to a lower timeframe and look for setups in that direction. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Pine Script® 인디케이터
Zeiierman의
291
Strategy BackTest Display Statistics - TraderHalaiThis script was born out of my quest to be able to display strategy back test statistics on charts to allow for easier backtesting on devices that do not natively support backtest engine (such as mobile phones, when I am backtesting from away from my computer). There are already a few good ones on TradingView, but most / many are too complicated for my needs. Found an excellent display backtest engine by 'The Art of Trading'. This script is a snippet of his hard work, with some very minor tweaks and changes. Much respect to the original author. Full credit to the original author of this script. It can be found here: www.tradingview.com I decided to modify the script by simplifying it down and make it easier to integrate into existing strategies, using simple copy and paste, by relying on existing tradingview strategy backtester inputs. I have also added 3 additional performance metrics: - Max Run Up - Average Win per trade - Average Loss per trade As this is a work in progress, I will look to add in more performance metrics in future, as I further develop this script. Feel free to use this display panel in your scripts and strategies. Thanks and enjoy :)
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TraderHalai의
4
Smoothed Heikin Ashi Trend on Chart - TraderHalai BACKTESTSmoothed Heikin Ashi Trend on chart - Backtest This is a backtest of the Smoothed Heikin Ashi Trend indicator, which computes the reverse candle close price required to flip a Heikin Ashi trend from red to green and vice versa. The original indicator can be found in the scripts section of my profile. This particular back test uses this indicator with a Trend following paradigm with a percentage-based stop loss. 

Note, that backtesting performance is not always indicative of future performance, but it does provide some basis for further development and walk-forward / live testing.

Testing was performed on Bitcoin , as this is a primary target market for me to use this kind of strategy. Sample Backtesting results as of 10th June 2022: Backtesting parameters:
 Position size: 10% of equity
 Long stop: 1% below entry
 Short stop: 1% above entry Repainting: Off
 Smoothing: SMA Period: 10
 8 Hour: Number of Trades: 1046

 Gross Return: 249.27 % CAGR Return: 14.04 % 
Max Drawdown: 7.9 % Win percentage: 28.01 % 
Profit Factor (Expectancy): 2.019 
 Average Loss: 0.33 % 
 Average Win: 1.69 %
 Average Time for Loss: 1 day
 Average Time for Win: 5.33 days 

 1 Day:

 Number of Trades: 429

 Gross Return: 458.4 % CAGR Return: 15.76 %
 Max Drawdown: 6.37 % 
Profit Factor (Expectancy): 2.804 
Average Loss: 0.8 % 
 Average Win: 7.2 % Average Time for Loss: 3 days
 Average Time for Win: 16 days


 5 Day: Number of Trades: 69

 Gross Return: 1614.9 % CAGR Return: 26.7 %
 Max Drawdown: 5.7 % 
Profit Factor (Expectancy): 10.451 
Average Loss: 3.64 % 
Average Win: 81.17 %
 Average Time for Loss: 15 days
 Average Time for Win: 85 days Analysis: The strategy is typical amongst trend following strategies with a less regular win rate, but where profits are more significant than losses. Most of the losses are in sideways, low volatility markets. This strategy performs better on higher timeframes, where it shows a positive expectancy of the strategy.

 The average win was positively impacted by Bitcoin’s earlier smaller market cap, as the percentage wins earlier were higher.

 Overall the strategy shows potential for further development and may be suitable for walk-forward testing and out of sample analysis to be considered for a demo trading account. Note in an actual trading setup, you may wish to use this with volatility filters, combined with support resistance zones for a better setup. As always, this post/indicator/strategy is not financial advice, and please do your due diligence before trading this live. Original indicator links: On chart version - Oscillator version - Update - 27/06/2022 Unfortunately, It appears that the original script had been taken down due to auto-moderation because of concerns with no slippage / commission. I have since adjusted the backtest, and re-uploaded to include the following to address these concerns, and show that I am genuinely trying to give back to the community and not mislead anyone: 1) Include commission of 0.1% - to match Binance's maker fees prior to moving to a fee-less model. 2) Include slippage of 10 ticks (This is a realistic slippage figure from searching online for most crypto exchanges) 3) Adjust account balance to 10,000 - since most of us are not millionaires. The rest of the backtesting parameters are comparable to previous results: Backtesting parameters:
 Initial capital: 10000 dollars Position size: 10% of equity
 Long stop: 2% below entry
 Short stop: 2% above entry Repainting: Off
 Smoothing: SMA Period: 10
 Slippage: 10 ticks Commission: 0.1% This script still remains to shows viability / profitablity on higher term timeframes (with slightly higher drawdown), and I have included the backtest report below to document my findings: 8 Hour: Number of Trades: 1082

 Gross Return: 233.02% CAGR Return: 14.04 % 
Max Drawdown: 7.9 % Win percentage: 25.6% 
Profit Factor (Expectancy): 1.627 Average Loss: 0.46 % 
 Average Win: 2.18 %
 Average Time for Loss: 1.33 day
 Average Time for Win: 7.33 days Once again, please do your own research and due dillegence before trading this live. This post is for education and information purposes only, and should not be taken as financial advice.
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TraderHalai의
4
3ngine Global BoilerplateABOUT THE BOILERPLATE This strategy is designed to bring consistency to your strategies. It includes a macro EMA filter for filtering out countertrend trades, an ADX filter to help filter out chop, a session filter to filter out trades outside of desired timeframe, alert messages setup for automation, laddering in/out of trades (up to 6 rungs), trailing take profit , and beautiful visuals for each entry. There are comments throughout the strategy that provide further instructions on how to use the boilerplate strategy. This strategy uses `threengine_global_automation_library` throughout and must be included at the top of the strategy using `import as bot`. This allows you to use dot notation to access functions in the library - EX: `bot.orderCurrentlyExists(orderID)`. HOW TO USE THIS STRATEGY 1. Add your inputs There is a section dedicated for adding your own inputs near the top of the strategy, just above the boilerplate inputs 2. Add your calculations If your strategy requires calculations, place them in the `Strategy Specific Calculations` section 3. Add your entry criteria Add your criteria to strategySpecificLongConditions (this gets combined with boilerplate conditions in longConditionsMet) Add your criteria to strategySpecificShortConditions (this gets combined with boilerplate conditions in shortConditionsMet) Set your desired entry price (calculated on every bar unless stored as a static variable) to longEntryPrice and shortEntryPrice. ( This will be the FIRST ladder if using laddering capabilities. If you pick 1 for "Ladder In Rungs" this will be the only entry. ) 4. Plot anything you want to overlay on the chart in addition to the boilerplate plots and labels. Included in boilerplate: Average entry price Stop loss Trailing stop Profit target Ladder rungs
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jordanfray의
1
Swing Failure Reversal StrategyThis strategy is using Swing Failure Patterns as a reversion indicator. The strategy automatically adapts itself to the timeframe of the current chart. Swing Failure Pattern occurs when the price trend fails to set new highs in uptrend or meet new lows in a downtrend. This pattern helps traders decide when to enter and exit the market. Usually, traders enter in the downtrend i.e. lower price highs and lower price lows, and exit in the uptrend situation i.e. higher price highs and higher price lows. Thus, traders go against the current trend. This helps the traders take advantage of early trend reversal indicators. Types of Failure Swing : Failure Swing Top: This occurs when the stock price goes higher whereas the RSI fails to make a higher high and falls below the recent fail point. The Fail Point is where the RSI line is below the recent swing low. This Failure Swing indicates a short position. Failure Swing Bottom: This occurs when the stock price gets lower whereas RSI fails to make a lower low and rises over the recent fail point. Fail point is the point where the RSI line is above the recent swing high. This Failure Swing indicates a long position.
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Technicien의
11
MPF EMA Cross Strategy (8~13~21) by Market Pip FactoryThis script is for a complete strategy to win maximum profit on trades whilst keeping losses at a minimum, using sound risk management at no greater than 1.5% The 3x EMA Strategy uses the following parameters for trade activation and closure. 1/ Daily Time Frame for trend confirmation 2/ 4 Hourly Time Frame for trend confirmation 3/ 1 Hourly Time Frame for trend confirmation AND trade execution 4/ 3x EMAs (Exponential Moving Averages) * EMA#1 = 8 EMA (Red Color) * EMA#2 = 13 EMA (Blue Color) * EMA#3 = 21 EMA (Orange Color) 5/ Fanning of all 3x EMAs and CrossOver/CrossUnder for Trend Confirmation 6/ Price Action touching an 8 EMA for trade activation 7/ Price Action touching a 21 EMA for trade cancellation BEFORE activation * For LONG trades: 8 EMA would be ABOVE 21 EMA * For SHORT trades: 8 EMA would be BELOW 21 EMA * For trade Cancellation, price action would touch the 21 EMA before trade is activated * For trade Entry, price action would touch 8 EMA Once trigger parameter is identified, entry is found by: a) Price action touches 8 EMA (Candle must Close for confirmed Trade preparation) b) Trade preparation can be cancelled before trade is activated if price action touches 21 EMA c) Trailing Stop Loss can be used (optional) by counting back 5 candles from current candle CLOSURE of a Trade is identified by: e) 8 EMA crossing the 21 EMA, then close trade, no matter LONG or SHORT f) Trail Stop Loss IMPORTANT: g) No more than ONE activated trade per EMA crossover h) No more than ONE active trade per pair NOTE: This strategy is to be used in conjunction with Cipher Twister (my other indicator) to reduce trades on sideways price action and market trends for super high win ratio. NOTE: Enabling of LONGs and SHORTs Via Cipher Twister is done by using the previous green or red dot made. Additionally, when the trend changes, so do the dot's validity based on being above or below the 0 centerline. ---------------------------- Strategy and Bot Logic ---------------------------- .....::: FOR SHORT TRADES ONLY :::..... The Robot must use the following logic to enable and activate the SHORT trades: Parameters: $(crossunder)=8EMA,21EMA=Bearish $(crossover)=8EMA,21EMA=Bullish $entry=SELL STOP ORDER (Short) $EMA#1 = 8 EMA (Red Color) $EMA#2 = 13 EMA (Blue Color) $EMA#3 = 21 EMA (Orange Color) Strategy Logic: 1/ Check Daily Time Frame for trend confirmation if: (look back up to 50 candles - find last cross of EMAs) $(chart)=daily and trend=$(crossunder) then goto 2/ *Means: crossunder = ema21 > ema8 $(chart)=daily and trend=$(crossover) then stop (No trades) *Means: crossover = ema8 > ema21 NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on) 2/ Check 4 Hourly Time Frame for trend confirmation if: (look back up to 50 candles - find last cross of EMAs) $(chart)=4H and trend=$(crossunder) then goto 3/ *Means: crossunder = ema21 > ema8 $(chart)=4H and trend=$(crossover) then stop (No trades) *Means: crossover = ema8 > ema21 NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on) 3/ 1 Hourly Time Frame for trend confirmation AND trade execution if: (look back up to 50 candles - find last cross of EMAs) $(chart)=1H and trend=$(crossunder) then goto 4/ *Means: crossunder = ema21 > ema8 $(chart)=1H and trend=$(crossover) then stop (No trades) *Means: crossover = ema8 > ema21 4/ Trade preparation: * if Next (subsequent) candle touches 8EMA, then set STOP LOSS and ENTRY * $stoploss=3 pips ABOVE current candle HIGH * $entry=3 pips BELOW current candle LOW 5/ Trade waiting (ONLY BEFORE entry is hit and trade activated): * if price action touches 21 EMA then cancel trade and goto 1/ Note: Once trade is active this function does not apply ! 6/ Trade Activation: * if price activates/hits ENTRY price, then bot activates trade SHORTs market 7/ Optional Trailing stop: * if active, then trailing stop 3 pips ABOVE previous HIGH of previous 5th candle or * Move Stop Loss to Break Even after $X number of pips NOTE: This means count back and apply accordingly to the 5th previous candle from current candle. NOTE: This function is switchable. 0=off and 1=on(active). Default = 0 (off) 8/ Trade Close ~ Take Profit: * Only TP when $(chart)=1H and trend=$(crossover) then close trade ~ Or obviously if Stop Loss is hit if 7/ is activated. ----------END FOR SHORT TRADES LOGIC---------- .....::: FOR LONG TRADES ONLY :::..... The Robot must use the following logic to enable and activate the LONG trades: Parameters: $(crossunder)=8EMA,21EMA=Bearish $(crossover)=8EMA,21EMA=Bullish $entry=BUY STOP ORDER (Long) $EMA#1 = 8 EMA (Red Color) $EMA#2 = 13 EMA (Blue Color) $EMA#3 = 21 EMA (Orange Color) Strategy Logic: 1/ Check Daily Time Frame for trend confirmation if: (look back up to 50 candles - find last cross of EMAs) $(chart)=daily and trend=$(crossover) then goto 2/ *Means: crossover = ema8 > ema21 $(chart)=daily and trend=$(crossunder) then stop (No trades) *Means: crossunder = ema21 > ema8 NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on) 2/ Check 4 Hourly Time Frame for trend confirmation if: (look back up to 50 candles - find last cross of EMAs) $(chart)=4H and trend=$(crossover) then goto 3/ *Means: crossover = ema8 > ema21 $(chart)=4H and trend=$(crossunder) then stop (No trades) *Means: crossunder = ema21 > ema8 NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on) 3/ 1 Hourly Time Frame for trend confirmation AND trade execution if: (look back up to 50 candles - find last cross of EMAs) $(chart)=1H and trend=$(crossover) then goto 4/ *Means: crossover = ema8 > ema21 $(chart)=1H and trend=$(crossunder) then stop (No trades) *Means: crossunder = ema21 > ema8 4/ Trade preparation: * if Next (subsequent) candle touches 8EMA, then set STOP LOSS and ENTRY * $stoploss=3 pips BELOW current candle LOW * $entry=3 pips ABOVE current candle HIGH 5/ Trade waiting (ONLY BEFORE entry is hit and trade activated): * if price action touches 21 EMA then cancel trade and goto 1/ Note: Once trade is active this function does not apply ! 6/ Trade Activation: * if price activates/hits ENTRY price, then bot activates trade LONGs market 7/ Optional Trailing stop: * if active, then trailing stop 3 pips BELOW previous LOW of previous 5th candle or * Move Stop Loss to Break Even after $X number of pips NOTE: This means count back and apply accordingly to the 5th previous candle from current candle. NOTE: This function is switchable. 0=off and 1=on(active). Default = 0 (off) 8/ Trade Close ~ Take Profit: * Only TP when $(chart)=1H and trend=$(crossunder) then close trade ~ Or obviously if Stop Loss is hit if 7/ is activated. ----------END FOR LONG TRADES LOGIC---------- IMPORTANT: * If an existing trade is already open for that same pair, & price action touches 8EMA, do NOT open a new trade.. * bot must continuously check if a trade is currently open on the pair that triggers * New trades are to be only opened if there is no active trade opened on current pair. * Only 1 trade per pair rule ! * 5 simultaneous open trades (not same pairs) default = 5 but value can be changed accordingly. * Maximum risk management must not exceed 1.5% on lot size *** Some features are not yet available autoated, they will be added in due course in subsequent version updates ***
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Market-Pip-Factory의
3
No-lose trading targets (Based on MFI) By Mustafa ÖZVERThis code shows expected reaction target prices after sudden moving based on MFI . Red area means the price is on overbought area, green area means the price is on oversold area. If you see red area under price, you can make short option to next to the horizontal beginning price of red area. If you see green area over price, you can make long option to next to the horizontal beginning price of green area. When this code works - The green area starts where mfi value is on oversold - The red area starts where mfi value is on overbought Of course, this code may be failed, do not forget the target may never come. But hopefully price will cross over the target. And you (as developers) can develop this code by using anything instead of mfi to get up-down target prices. But only this values can not guarantee good results for trading. BE CAREFUL
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Mustafaozver의
4