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Trend Analysis

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.
Pine Script™ strategy
by Vvaz_
2
Ichimoku Cloud with RSI (By Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future. The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals. The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in. The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line. The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up. The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down. This strategy combines the Ichimoku Cloud with the RSI indicator to better enter trades. Long/Short orders are placed when three basic signals are triggered. Long Position: Tenkan-Sen is above the Kijun-Sen Chikou-Span is above the close of 26 bars ago Close is above the Kumo Cloud RSI is greater less than 50 Short Position: Tenkan-Sen is below the Kijun-Sen Chikou-Span is below the close of 26 bars ago Close is below the Kumo Cloud RSI is greater than 50 The script is backtested from 1 June 2022 and provides good returns. The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance. This script also works well on SOL (45m timeframe), BNB (1h timeframe), and ETH (1h timeframe).
Pine Script™ strategy
by Coinrule
Swing Trend StrategyThis script is a trend following system which uses a long term Moving Average to spot the trend in combination with the Average True Range to filter out Fakeouts, limiting the overall drawdown. Default Settings and Calculation: - The trend is detected using the Exponential Moving Average on 200 periods. - The Average True Range is calculated on 10 periods. - The Market is considered in an Uptrend when the price closes above the EMA + ATR. - The Market is considered in a Downtrend when the price closes below the EMA - ATR. - The strategy will open a LONG position when the market is in an Uptrend. - The strategy will close its LONG positions when the price closes below the EMA. - The strategy will open a SHORT position when the market is in a Downtrend. - The strategy will close its SHORT positions when the price closes above the EMA. This script is best suited for the 4h timeframe, and shows good results on BTC and ETH especially. The options allow to modify the type of moving average to use, the period of the moving average, the ATR multiplier to add as well as the possibility to open short trades or not.
Pine Script™ strategy
by Inkedlau
2
Trade HourThis script is just finds the best hour to buy and sell hour in a day by checking chart movements in past For example if the red line is on the 0.63 on BTC/USDT chart it mean the start of 12AM hour on a day is the best hour to buy (all based on It's just for 1 hour time-frame but you can test it on other charts. IMPORTANT: You can change time Zone in strategy settings.to get the real hours as your location timezone IMPORTANT: Its for now just for BTC/USDT but you can optimize and test for other charts... IMPORTANT: A green and red background color calculated for show the user the best places of buy and sell (green : positive signal, red: negative signals) settings : timezone : We choice a time frame for our indicator as our geo location source : A source to calculate rate of change for it Time Period : Time period of ROC indicator About Calculations: 1- We first get a plot that just showing the present hour as a zigzag plot 2- So we use an indicator ( Rate of change ) to calculate chart movements as positive and negative numbers. I tested ROC is the best indicator but you can test close-open or real indicator or etc as indicator. 3 - for observe effects of all previous data we should indicator_cum that just a full sum of indicator values. 4- now we need to split this effects to hours and find out which hour is the best place to buy and which is the best for sell. Ok we should just calculate multiple of hour*indicator and get complete sum of it so: 5- we will divide this number to indicator_cum : (indicator_mul_hour_cum) / indicator_cum 6- Now we have the best hour to buy! and for best sell we should just reverse the ROC indicator and recalculate the best hour for it! 7- A green and red background color calculated for show the user the best places of buy and sell that dynamically changing with observing green and red plots(green : positive signal, red: negative signals) when green plot on 15 so each day on hour 15 the background of strategy indicator will change to 15 and if its go upper after some days and reached to 16 the background green color will move to 16 dynamically.
Pine Script™ strategy
by mablue
1
Bitcoin Scalping Strategy (Sampled with: PMARP+MADRID MA RIBBON) DISCLAIMER: THE CONTENT WITHIN THIS STRATEGY IS CREATED FROM TWO INDICATORS CREATED BY TWO PINESCRIPTER'S. THE STRATEGY WAS EXECUTED BY MYSELF AND REVERSE-ENGINEERED TO MEET THE CONDITIONS OF THE INTENDED STRATEGY REQUESTOR. I DO NOT TAKE CREDIT FOR THE CONTENT WITHIN THE ESTABLISHED LINES MADE CLEAR BY MYSELF. The Sampled Scripts and creators: PMAR/PMARP by @The_Caretaker Link to original script: Madrid MA RIBBON BAR by @Madrid Link to original script: Cheat Code's strategy notes: This sampled strategy (Requested by @elemy_eth) is one combining previously created studies. I reverse-engineered the local scope for the Madrid moving average color plots and set entry and exit conditions for certain criteria met. This strategy is meant to deliver an extremely high hit rate on a daily time frame. This is made possible because of the very low take profit percentage, during the context of a macro downtrend it is made easier to hit 1-3% scalps which is made visible with the strategy using sampled scripts I created here. How it works: Entry Conditions: -Enter Long's if the lime color conditions are met true using the script detailed by Marid's MA - No re-entry into positions needs to be met true (this prevents pyramiding of orders due to conditions being met true) applicable to both long and short side entries. - To increase hit rate and prevent traps both the parameters of rsi being sub 80 and no previously engulfing candles need to be met true to enter a long position. - Enter Short's if the red color conditions of Madrid's moving average are met true. - Closing Long positions are typically not met within this indicator, however, it still sometimes triggers if necessary. This consists of a pmarp sub 99 and a position size greater than 0.0 - Closing Short positions are typically not met within this indicator, however, it still sometimes triggers if necessary. This consists of a pmarp over 01 and a position size less than 0.0 - Stop Loss: 27.75% Take Profit: 1% (Which does not trigger on ticks over 1% so you will see average trade profits greater than 1%) BYBIT:BTCUSDT BINANCE:BTCUSDT COINBASE:BTCUSD Best Of Luck :) -CheatCode1
Pine Script™ strategy
by CheatCode1
14
RSI Improved strategySet a Horizontal Ray at the price that relates highest / lowest RSI . It 's more clear to decide when to open long / short position manually. It's a scalping strategy that works in 15min chart(basically works in most of timeframe , if you don't look it as a scalping strategy), when RSI hits Highest / Lowest value , the strategy will open a Long / Short position. The Default Risk Reward Ratio was 1 (1600 points : 1600 points) you can adjust it in settings You guys can look it as a RSI alert indicator Think before you do , use it wisely. Thanks a lot! There is a lot of useless words in Pine if you wanna look it please ignore it.
Pine Script™ strategy
by jimmy30110
4
Trend Ravi TrialTrial for trend analysis it was not difficult to convert to look like and work like Trend Trader Karan's Tool, who invested " Lakho Rupaya" and works on the basis of price action trading also. Let me tell you guys, this is nothing but an ATR based system which people already traded as Half Trend, Super Trend and various names. Half Trend is no more a copyrighted indicator, which stopped marketing after being exposed, but people are still cheating with such indicators.
Pine Script™ strategy
by abhimanyoo
3LS | 3 Line Strike Strategy [Kintsugi Trading]What is the 3LS | 3 Line Strike Strategy? Incorporating the 3 Line Strike candlestick pattern into our strategy was inspired by Arty at The Moving Average and the amazing traders at TheTrdFloor . The Three Line Strike is a trend continuation candlestick pattern consisting of four candles. Depending on their heights and collocation, a bullish or a bearish trend continuation can be predicted. In a symphony of trend analysis, price action, and volume we can find and place high-probability trades with the 3LS Strategy. How to use it! ----- First, start by choosing a Stop-Loss Strategy, Stop PIP Size, and Risk/Reward Ratio ----- - Stop-Loss Strategy Fixed PIP Size – This uses the top/bottom of the indicator candle and places a TP based on the chosen Risk:Reward ratio. ATR Trail (No set Target Profit, only uses ATR Stop) ATR Trail-Stop (Has set Target Profit, however, stop is based on ATR inputs) **If you choose an ATR Stop-Loss Strategy - input the desired ATR period and Multiple you would like the stop to be calculated at** **ATR Stop-Loss Strategies have a unique alert setup for Auto-Trading. See Auto-Trading Section** - Risk/Reward Ratio = If you have a .5 risk/reward, it means you are risking $100 to make $50. - Additional Stop PIP Size = Number of PIPs over the default stop location of the top or bottom of the indicator candle. ----- Next, we set the Session Filter ----- Set the Timezone and Trade Session you desire. If no specific session is desired, simply set the Trade Session to 00:00 - 00:00. ----- Next, we set the Moving Average Cloud Fill ----- Enter the Fast and Slow Moving Average Length used to calculate trend direction: MA Period Fast MA Period Slow These inputs will determine whether the strategy looks for Long or Short positions. ----- Next, we set the VSA – Volume Spread Analysis Settings ----- Check the box to show the indicator at the bottom of the chart if desired. This is just a different visual output of the VSA | Volume Spread Analysis indicator available for free under the community indicators tab. You can add that indicator to your chart and see the same output in candle format. In combination with the Moving Average Cloud, the Volume Spread Analysis will help us determine when to take a trade and in what direction. The strategy is essentially looking for small reversals going against the overall trend and placing a trade once that reversal ends and the price moves back in the direction of the overall trend. The 3LS Strategy utilizes confirmation between trend, volume, and price action to place high probability trades. The VSA is completely customizable by: Moving Average Length MA-1 Multiplier MA-2 Multiplier MA-3 Multiplier Check out the VSA | Volume Spread Analysis indicator in the community scripts section under the indicators tab to use this awesome resource on other strategies. ----- Next, we have the option to view the automated KT Bull/Bear Signals ----- Check the boxes to show the buy-sell signal on the chart if desired. ----- Next, we set the risk we want to use if Auto Trading the strategy ----- I always suggest using no more than 1-3% of your total account balance per trade. Remember, if you have multiple strategies triggering per day with each using 1%, the total percent at risk will be much larger. For Example – if you have 10 strategies each risking 1% your total risk is 10% of your account, not 1%! Be mindful to only use 1-3% of your total account balance across all strategies, not just each individual one. ----- Finally, we backtest our ideas ----- After using the 'Strategy Tester' tab on TradingView to thoroughly backtest your predictions you are ready to take it to the next level - Automated Trading! This was my whole reason for creating the script. If you work a full-time job, live in a time zone that is hard to trade, or just don't have the patience, this will be a game-changer for you as it was for me. Auto-Trading When it comes to auto-trading this strategy I have included two options in the script that utilize the alert messages generated by TradingView. *Note: Please trade on a demo account until you feel comfortable enough to use real money, and then please stick to 1%-2% of your total account value in risk per trade.* AutoView PineConnector **ATR Auto-Trading Alert Setup** How to create alerts on 3 Line Strike Strategy For Trailing Stops: 1) Adjust autoview/pineconnector settings 2) Click "add alert" 3) Select "Condition" = Strategy Name 4) Select "Order Fills Only" from the drop-down 3) Remove template message text from "message" box and place the exact text. '{{strategy.order.alert_message}}' 4) Click "create" For Fixed Pip Stop: 1) Adjust autoview/pineconnector settings 2) Click "add alert" 3) Select "Condition" = Strategy Name 4) Select "alert() function calls only" 5) I like to title my Alert Name the same thing I named it as an Indicator Template to keep track Good luck with your trading!
Pine Script™ strategy
by KintsugiTrading
9
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!
Pine Script™ strategy
by TradeAutomation
3
tvbot Trend Following with Mean Reversion algoDefault settings are for the ETHUSDT 5 min Binance Chart regular candles. Back test Default settings are 10,000 usd to start, Commission 0.075%, capital deployment per position is 10%, slippage value of 1. This algo uses the EMA to set the trend line . You are also able to turn the trend line into a range instead of just a static line. The algo uses the VWMA to set the base entry parameters. When a candle closes above or below the VWMA it will record that price and then wait for the VWMA to meet the candle close price. When that happens the Base entry condition is met. (it causes the vwma to create a hook like structure. essentially tell you that the momentum has changed directions.) The algo will always check to see if the trend line has either breached or has been tested and held. If this condition has been met it will then go to the base entry condition to check to see if the momentum has changed. There is a mean reversion component in this algo as well. When the price has moved away from the mean(set by user) by a certain amount the algo will start to look for a top or bottom. Once that condition has been met it will then use the base entry condition to look for a change in momentum, but the mean reversion base entry condition uses the HMA to check for a change in momentum. This algo effectively looks like a hamburger. Mean reversion being the tops and bottoms(bun) and the trend following(beef patty)
Pine Script™ strategy
by tvbot-
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.
Pine Script™ strategy
by TraderHalai
4
3C QFL Mean reversalWhat is QFL trading strategy? QFL stands for Quickfingersluc, and sometimes it is referred to as the Base Strategy or Mean Reversals. Its main idea is about identifying the moment of panic selling and buying below the base level and utilizing Safety orders. What is Base level or Support Level? Base level or Support Level refers to the lowest price level that was reached before the moment the price started increasing again. At that level, you can notice that buyers of some cryptocurrencies make a strong reaction. In this strategy we can also reverse the strategy and go short. But i must warn you that that is alot riskier. QFL is meant to be used on higher TF's like 1hr, 2hr and 4hr. But this strategy also work well on lower Timeframes. The script also simulates DCA strategy with parameters used in 3commas DCA bots for futures trading. Experiment with parameters to find your trading setup. Beware how large your total leveraged position is and how far can market go before you get liquidated! Do that with the help of futures liquidation calculators you can find online! Included: An internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage. A graphic interface, so levels are clearly visible and back-test analyzing made easier. Long & Short direction of the strategy. Table display a summary of past trades Vertical colored lines appear when the new maximum deviation from the original price has been reached All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
Pine Script™ strategy
by Kveie
94
J2S Backtest: 123-Stormer StrategyThis backtest presents the 123-Stormer strategy created by trader Alexandre Wolwacz "Stormer". The strategy is advocates and shared by the trader through his YouTube channel without restrictions. Note : This is not an investment recommendation. The purpose of this study is only to share knowledge with the community on tradingview. What is the purpose of the strategy? The strategy is to buy the 123-Stormer pattern at the bottom of an uptrend and sell the 123-Stormer pattern at the top of a downtrend, aiming for a short stop for a long profit target. To which timeframe of a chart is it applicable to? Recommended for weekly and daily charts, as the signals are more reliable, being that strategy a good option for swing and position trading. What about risk management and success rate? The profit target is established by the author as being twice the risk assumed. Also according to the author, the strategy is mathematically positive, reaching around 65% of success rate in tradings. How are the trends identified in this strategy? Two averages are plotted to indicate the trend, a fast EMA average with an 8-week close and a slow EMA average with an 80-week close. Uptrend happens whenever the fast EMA is above the slow EMA and prices are above the fast EMA. In this case, we should start looking for a LONG entry based on the signal of the 123-Stromer pattern to buying. On the other hand, downtrend happens when the fast EMA is below the slow EMA and prices are below the fast EMA. In this case, we should start looking for a SHORT entry based on the signal of the 123-Stromer pattern to selling. How to identify the 123-Stormer pattern for a LONG entry? This pattern consists of three candles. The first candle has a higher low than the second candle's low, and the third candle has a higher low than the second candle's low. In this pattern, we will buy as soon as a trade occurs above the third candle's high, placing a stop as soon as a trade occurs below the second candle's low, with profit target twice the risk assumed. In another words, the amplitude of the prices of the three candles from the third candle’s high upwards. (you can use fibonacci extension to determine your stops and profit targets). Importantly, the low of the three candles must be above the fast EMA average and in an uptrend. How to identify the 123-Stormer pattern for a SHORT entry? This pattern consists of three candles. The first candle has a lower high than the second candle's high, and the third candle has a lower high than the second candle's high. In this pattern, we will sell as soon as a trade occurs below the third candle's low, placing a stop as soon as a trade occurs above the second candle's high, with profit target twice the risk assumed. In other words, the amplitude of prices of the three candles from the third candle’s low down (you can use fibonacci extension to determine your stops and profit targets). Importantly, the high of the three candles must be below the fast average and in a downtrend. Tips and tricks According to the author, the best signal for both LONG or SHORT entry is when the third candle is a inside bar of second candle. Backtest features Backtest parameters are fully customizable. The user chooses to validate only LONG or SHORT entries, or both. It is also possible to determine the specific time period for running the backtests, as well as setting a threshold in candels for entry by the 123-Stormer pattern. Furthermore, for validation purposes, you can choose to activate the best signal of the pattern recommended by the author of the strategy, as well as change the values of the EMA averages or even deactivate them. Final message Feel free to provide me with any improvement suggestions for the backtest script. Bear in mind, feel free to use the ideas in my script in your studies.
Pine Script™ strategy
by julianossilva
2
Swing Trading SPX CorrelationThis is a long timeframe script designed to benefit from the correlation with the Percentage of stocks Above 200 moving average from SPX At the same time with this percentage we are creating a weighted moving average to smooth its accuracy. The rules are simple : If the moving average is increasing its a long signal/short exit If the moving average is decreased its a short signal/long exit. Curently the strategy has been adapted for long only entries. If you have any questions let me know !
Pine Script™ strategy
by exlux
COT + ema + aux tickerPurpose: Create a script for backtesting the idea that COT can steer weekly Bias on Forex Market. How does it works: the script use Commercials Delta Conctract, EMA of the selected ticker, EMA of 2 auxiliary tickers (e.g. correlated ticker) to generates buy and sell signals, it allows to include or not each of these. If you use all the indicator, The buy or sell signals are generated following that rules: (Example for buy signals on GBPCAD) 1) Commercials add net contract to GBP futures + remove net contract to CAD 2) EMA of GBPCAD is rising 3) EMA of 1st aux ticker is rising (or decline if select inv option) 4) EMA of 2nd aux ticker is rising (or decline if select inv option) The scripts set the stop at low of the week for long orders and high of the week for shorts. The exit strategy is to exit at first week of profit How could you use it: 1) Choose your FX Ticker e.g. GBPCAD and set 1W TimeFrame 2) Select ticker in the strategy setting, remember to select the currency in right order, if you want to study GBP CAD 1st currency is GBP and 2nd CAD 3) Choose if you want to use EMA (and its period of calculation) 4) Choose if you want to use a aux ticker, the direction, and the relative ema period What could be better; 1) you can just buy on begin of the week. 2) the exit strategy isn't best you can do 3) No level of delta contract is consider, its generate a buy signial also for 1 contract in the right direction For any question, suggestion of improvemet, ideas, insult:) write to me It all started from a script i find here on tradingview that extract COT data. Don't remember the name of that guy but Thanks a lot. My English isn't perfect but i hope you can understand as well.
Pine Script™ strategy
by Fanoooo