8 Whittle DownThe system is designed to short on directionally negative instruments like VXX & SQQQ
The system only shorts, no longs
It enters a pilot position if the system has no trades open at the time is in the late afternoon
It uses a 200-day moving average as a filter and will only short if the price is below the 200 day moving average
The pilot position will only enter with 1/3 ( one third ) of the total expected position size
StopLossPerc sets the stop loss, (1.15) means it is set to a 15% stop loss. -- The Red Line
The system will buy additional shares for a full position if the pilot piston profit target was not reached
The full shares position is set to purchase at a higher price. T2EntTrgPerc sets the buy percentage target for the additional shares. -- The Yellow Line
Each entry has different settable profit targets. T1ProfTrgPerc sets the profit target for the first trade (0.95) is basically set to a 5% profit.
T2ProfTrgPerc sets the profit target for the second trade (0.90) is basically set to a 10% profit. -- The White Line
RED LINE == STOP LOSS LINE
GREENLINE == PROFIT TARGET FOR THE 1ST TRADE
YELLOW LINE == ADD ON SHARES TO THE TRADE
WHITE LINE == PROFIT TARGET FOR THE 1st & 2nd TRADE COMBINED
Let me know if you have any questions and I'll try to clarify
Cari dalam skrip untuk "profit"
M8 BUY @ END OF DAYI've read a couple of times at a couple of different places that most of the move in the market happens after hours, meaning during non-standard trading hours.
After-market and pre-market hours and have seen data presented showing that systems which bought just before end normal market hours and sold the next morning had really amazing resutls.
But when testing those I found the results to be quite poor compared to the pretty graphs I saw, and after much tweaking and trying different ideas I gave up on the idea until I recently decided to try a new position management system.
The System
Buys at the end of the trading day before the close
Sells the next morning at the open IF THE CLOSE OF THE CURRENT BAR IS HIGHER THAN THE ENTRY PRICE
When the current price is not higher, the system will keep the position open until it EITHER gets stops out or closes on profit <<< this is WHY it has the high win %
The system has a high win ratio because it will keep that one position open until it either reaches profit or stops out
This "system" of waiting, and keeping the trade open, actually turned out to be a fantastic way to kind of put the complete trading strategy in a kind of limbo mode. It either waits for market failure or for a profit.
I don't really care about win % at all, almost always high win % ratio systems are just nonsense. What I look for is a PF -- profit factor of 1.5 or above, and a relatively smooth equity curve. -- This has both.
The Stop Loss setting is set @ .95, meaning a 5% stop loss. The Red Line on the chart is the stop loss line.
There is no set profit target -- it simply takes what the market gives.
Non-Repainting System
This does use a 200D Simple Moving Average as a filter. Like a Green Light / Red Light traffic light, the system will only trade long when the price is above its 200 Moving average.
Here is the code: "F1 = close > sma(security(syminfo.tickerid, "D", close ), MarketFilterLen) // HIGH OF OLD DATA -- SO NO REPAINTING"
I use "close ", so that's data from two days ago, it's fixed, confirmed, non-repainting data from the higher timeframe.
-- I would only suggest using this on direction tickers like SPY, QQQ, SSO, TQQQ, market sectors with additional filters in place.
RSI Hidden Divergence + Stochastic + 200 EMA @DaviddTechHey Traders,
This is my first strategy of many I hope. Inspired by a strategy I found on YouTube I wanted to see if it would work with a BOT strategy.
The idea is :
## LONG ##
* When the price is above 200 EMA take only LONG positions.
* Look for Bullish hidden divergence.
* Stochastic crossover to find our entry.
## SHORTS ##
* When the price is below 200 EMA take only SHORTpositions.
* Look for Bearish hidden divergence.
* Stochastic crossunder to find our entry.
You can used a fixed percentage, ATR, HH/LL or a FIB level to take profit.
Everything is very visual and can be connected easily to a bot.
I will be doing a video on HOW-TO setup in a couple of days.
## MUTLI LEVEL PROFITS ##
This will show you on backtest is you take profits at 3 levels however I have not tested on a BOT strategy.
NOTE : This is for educational purposes and please test on a paper account, as I said this is my first strategy.
I will be working and back testing new strategies every week.
- Made with ♥ @DaviddTech
Scalper Helper System===========================================================================
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Description
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Scalper Helper System combines a series of trade strategies which have been learned and honed in the Jim of All Trades channel.
Paixy has contributed candlestick combination rules, Jonas has shared his deep understanding of Stochastic.
Jim himself has taught clearly on the merits of RSI.
This system attempts to formulate all the notes and rules I have made over the past months.
The system searches for 10 - 15 rules which are divided into bullets and bombs. Bombs relate to momentum, so these signals may not be pinpoint accurate, but they are more often leading to bigger moves.
This initial version is released mainly only to the JOAT community to help continue the development of the idea and to help find
continued improvements.
Special thanks to FiendishFeather for his strategy work, (check out his work to learn how to apply any trading strategy to his back testing harness), and the date filtering snippet and the tip to show this option at the top.
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The strategy decisions are based on the following general rules:
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BULLETs are hint to the idea of firing a small sized position into the market, BOMBs are hints to go all in - however this does not mean proper risk management should be forgotten.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
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Bullet1 uses the value of the stochastic and checks for buy/sell cross over on 5m, 8m and 13m chart.
These values should be calculated on a ratio basis ideally.
Bullet2 measures divergence between the printed Stochastic signals.
Bullet3 has been decommissioned.
Bullet4 is an RSI divergence and value indicator.
Bullet5 has been decommissioned.
Bullet6 uses the history of the stochastic buy and sell signals
Bullet7 uses the Scalper Helper Trends for entries by attempting to see how the overall trend is changing. More refinement is needed here.
Bullet8 uses the Scalper Helper Trends on multiple timeframes for entries.
Bullet9 strict buy/sell signals from Stochastic RSI
Bomb1 relies on the Fast, Medium and Slow MA's being correctly lined up as well as the Stochastic, this hints at a more imminent move and so the strategy suggests a quicker entry.
Bomb2 relies on the Fast, Medium and Slow MA's NOT being correctly lined up as well as the Stochastic, and therefore has the luxury of suggesting Limit orders near the local high/low.
Bomb3 looks for two or more Stochastics signals in the same direction and then performs a divergence calculation.
Bomb4 looks a change in the Stochastics signals direction and then performs a divergence calculation.
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Configuration settings:
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Users can chose to show mainly buy and/or sell signals and can select a level of strictness. Enabling strict rules will force a multi timeframe comparison of Stochastic analysis.
Users can try different levels for long and short targets for profit and stop loss. This is important because the market does not behave the same going up as it does going down.
The RSI conditional check makes the strategy more selective. This discernment can be applied to bullets or bombs in order to validate entry and exits.
During the bull run and perhaps even in ranging markets, the RSI overbought levels is usually 70-80, but in the bear market we are seeing in Crypto now, a value of 60 is more useful. Try for yourself to see what works for you and feedback in the comments.
An additional indicator, Scalper Helper Trends is recommended to get a quick view on the trend condition (rally, base, down) by viewing the MACD from multiple time frames. Further research is required to know which larger timeframes work best here.
For the 15min chart, 15m, 30m, 45m, 60m, 120m, 240m, 360m, 960m would work well. Note it is not possible to go higher than 1000 at this time.
Whether you use the Scalper Helper trends or not for your own visual confirmation, it is possible to allow this indicator to attempt to read it for you. More research is required to best model the reading of this. For now, it will simply measure the gradient of the number of up versus down colors.
The system can also find entries off the Scalper Helper Trends - but really this, by design is not the best use of Scalper Helper Trends. Although you may prove me wrong so the option is given for you to find buy/sells with your own testing.
Users can chose to use some engulfing candle arrangements to trigger exits and define the length of the 200MA and decide if this should play a part in the filtering of the signals. Similarly, a check can be made to ensure that the first two candles after a signal are behaving as we would expect with the "Wait for 2 closing in the direction of the signal" option. This has a lot of value on the 1min chart.
When Revenge trade is set to true you may re-enter a trade in the same direction as the last one when the last one was stopped out, otherwise you would only be looking for trades in the other direction. We all should not revenge trade, and indeed I have only seen a few cases when it has increased the profitability, however this option remains for now.
The flip opens a new trade in the reverse direction when a signal is given to close a trade, but does not apply to scenarios where stop losses or take profit closed the trade.
AZ V.3 Test ++Position Size Fix+Float
Core Concept
This Strategy is Base on EMA Cross
But thing what make this strategy be different from original CDC Action Zone V.3 is "Position Size"
Compound Profit & Not Compound Profit Strategy
Position Sizing Concept
Be real.Everyone know the key of survive in the Market is "Risk & Money Management"
So, How can we manage our Risk and Money?
Yes, The key is " Make the Risk celling "
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//// (Risk% * 100) / Stoploss % ////
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How can we make the Risk celling?
1. Define your Risk Per Trade for you. (How much % money of your portfolio are you willing to pay for this trade?)
- Example -
- I Have 3,000$ in my portfolio.
- I think i can take the risk per trade for my trade 2.5% of my portfolio. (75$)
- I calculate the Position Size of my trade to pay 2.5% of my portfolio when i need to stoploss. (75$)
- And then, I have 97.5% of my fund (2,925$) for fight in next trade.
- ***** So, I'll never lose a big money of my fund. And "SURVIVE" in long term. *****
2. Mark the "Entry Point" and "Stop Loss Point"
- Example -
- I have a Entry Point at price 30,000 $
- I Make the "Hard Stop" at previous low 11 Bar. (Hard Stop = When the price went lower from this point, We Sell this position without any pity)
- For example. I assume the previous low is 20,000$
- I Clac. the different % from Entry to Stoploss. (33%)
- ***** So, If the price went low from Entry Point -33%. I'll stop this position. *****
3. Calculate my position size.
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//// (Risk% * 100) / Stoploss % ////
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- In the past 2 Example.
- We have Risk% = 2.5%
- We have Stoploss% = 33%
- So, We clac. >>
- 7.575757 >> 7.5 % of my Portfolio
- 7.5 % of my Portfolio = 225 $
- ***** When my position Dropdown I'll lose for this trade and survive to fight in next trade. *****
Compound Profit Concept
We calculate the base equity from
Normal People use this.
Not Compound Profit Concept
We calculate the base equity from
If we have some profit. We use this profit for "Reserve" the loss in next trade.
Maximized Scalping On Trend (by Coinrule)" The trend is your friend. " This is one of the most famous and valuable teachings that experienced traders can give to newbies. There is a reason for that.
No matter your views about where the price moves, what matters is where the price heads to . The market is always right, and ultimately it decides who gets the profit and who has to take a loss.
The purpose of this strategy is to spot when it's the most suitable time to buy an asset profiting from a potential short-term price increase. The strategy tends to open trades frequently, closing them on average in one and a half days.
ENTRY
The buy order is placed on assets that present strong momentum when it's more likely that it is about to increase further in the short term.
To capture momentum on the asset, the rule strategy requires:
the MA50 greater than the MA100
the RSI greater than 50
The rule, then, places the order when
The price crosses above the MA9.
EXIT
This strategy comes with a stop loss and a take profit which adapt dynamically to market conditions.
The trade is closed in profit when the RSI is greater than 70 , as the trend could experience a pull-back.
Alternatively, the trade is closed when the RSI is lower than 30 , being this a sign of weakening of the trend.
Pro tip : The 1-hour time frame has proven to return the best results on average. The strategy can also work well in the 15-min time frame if you want to increase the trades' frequency.
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
SeaSide420 StrategyThis Strategy by SeaSide420 uses IchiMoku, Engulfing candles and 3 moving averages to find entry to buy and sell orders. It will hold buys and sells at the same time, it will close orders by StopLoss, or Trailing StopLoss or Target Profit. In the example chart here, only the trailing stop is active. It does have commission already included in this result. The initial test equity is set to 1 (1 BTC) so if you use this on say, a FOREX pair, you might want to check your settings, for example, set the initial equity to 100,000 USD as it normally is. I set this to 1 BTC to show that Holding 1 BTC for 2 years would not be as profitable as trading 1 BTC with this strategy for 2 years. The commission level is the same as Binance (0.1%), and the example pair is a Binance instrument, where Bitcoin trades can be in and out this way (CFD). Here it is shown on Daily chart, and with other timeframes/pairs, you may need to adjust the settings (MA period etc). New settings are achieved by you testing them yourself. This is published as an experimental script for use through API to do Automated trading on crypto exchanges. Questions welcome. Strategy free to use, Script private (PM me about it) I have not tested the alerts, but i did include alerts when open and close orders. Let me know if it works or not.
[Sidders] LTFDIV - Strategy version (beta)Strategy version of my previously released LTF divergence scalper. Currently being beta tested prior to full release as a premium indicator.
Description of the indicator: The indicator uses several trades of divergences and overbought/oversold levels (which can be defined) of several indicators on the 1 minute timeframe. Long signals are only given if the overall trend is bullish (determined by either moving averages or the Ichimoku system). Short signals are only given if the overall trend is bearish (determined yet again by either the moving averages or the Ichimoku system).
The strategy contains several additional filters that can be applied to sharpen the strategy and improve overall winrate and profitability. Additionally it contains a multitude of different ways of setting your stoplosses and setting your profit targets. I've also included many other customization options, such as time zones, trading periods and even the possibility to base the entire strategy on Ichimoku (either classic or crypto settings) instead of moving averages. The sky is the limit with regards to customization.
Lastly, but still a major feature: I've included a way to automate the strategy through the use of 3Comma bots. This takes away the need to sit behind your pc and trade the strategy yourself and automates everything after you've set it up properly.
Access to the strategy is currently limited. A full release will follow in the coming week. If you're interested, send me a message and I can more details (e.g. pricing). Cheers!
Crypto momentum strategyThis strategy is based on LazyBear's Squeeze Momentum indicator. It analyzes when the trend in the momentum is shifting, locating the peaks and the valleys, and takes those as sell and buy signals respectively. This is a long strategy, so it also takes into consideration the 50 period Exponential Moving Average to identify upward trends. If the closing price of the candle is above the 50EMA, and the slope of the 50EMA is trending upwards, then the buy signal is executed. If these conditions are not met, the buy signal is ignored.
This strategy works well with crypto trading on the day/week charts.
It has a profit ratio of 4:1 on average, and roughly half of the trades are profitable.
Dankland Playground Moneymaker - V2“version 2” of my playground bot script. Its essentially a powerhouse suite of strategies. Although it is similar to the previous script, it nets different results as sections have been changed. Such as the somewhat reluctant removal of the Chande Momentum... The RSIs have also been updated, this was one of the main changes. RSIS now include a Moving Average cross of RSI to generate signals above and below the given thresholds instead of simply on crossing a threshold. This should give greater functionality overall. Most functions including Moving Averages have been updated to include a wider range of kinds of moving averages. This includes not just the moving average cross, but MACD and RSIs as well. I tried to perform the same upgrade on the %B, Stochastics and SMI, but hit the unpacked code limit of 60,000 lines... So, more “versions” will have to come for future “upgrades”, with the recognition that there will be cases where the old, “downgraded” versions may perform better and that some people (like myself) may continue to use them on some markets until I/we devise superior settings on the new ones for said markets. For instance, instead of replacing my 1 hr BTCUSD bot (where I used the now deleted Chande to pretty pleasing affect...) I made a new one for LINKUSD 10 min so I can have both running for now and work on replacing the BTCUSD later.
How it works basically is this... you have 16 oscillators which can all be used as independently as you wish. They can be split up into different groups or ran all together.
When in separate groups they should not be able to sell eachothers positions without triggering a full stop loss by turning the Independence/Stop All switches on. Every single oscillator has its own entry and exit position sizing which can be stated as either a percent of balance or a flat amount of contracts (or both combined). Each oscillator has a minimum amount of profit you can tell it to sell it, which is calculated from the average cost of your current position, which does include all groups. This works out to help you average out better entry and exit prices, essentially a method of DCAing.
You can set the minimum sale amount, which is to keep it from placing orders below your exchanges minimum dollar trade cost.
All this functionality combined also ensures more accurate back tests by ensuring that the script simply cannot spend money it doesn't see as in the balance, whereas other scripts will use a percentage of equity, and once 100% of your equity is in BTC for instance, it will keep buying more BTC for free and thus spoof up backtest numbers. If you look through the strategies here, many people claim to have amazing scripts and then you look into it and this is happening and skewing their numbers. These people are either very ignorant or what they made or scam artists and trolls in my opinion.
This version also includes On Bar Close switches for each oscillator. When switched on, signals are only allowed to generate on Bar Close. This helps to prevent retriggering from live signals, which when you are running this many oscillators, will become a problem! However, in most cases, you do not need to generate signals intrabar, as backtests will show, ignoring intrabar buys and sells (intrabar stop losses can still be very important though!) won't exactly keep you from high profitability strategies, but rather, allowing elements of chaos from live indicators moving up and down intrabar will, in fact, drift your actual results further and further from the backtest. You want an accurate backtest though. So choose wisely when you turn these off and you will do better.
The included oscillators are as follows:
NO MORE Chande Momentum cross – REMOVED – I was hitting PINE code limits here so I had to make choices and this one simply had to go. Begone!
Moving Average Cross
MACD cross
%B Bollinger cross
Stochastic cross + region filter
Stochastic RSI cross + region filter
SMII cross and region filter
Three RMIs
Know-Sure-Thing line-cross
Coppock Curve line-cross
TRIX line-cross
RSI of MA w/ MA cross
RSI of MA of KST w/ MA cross
RSI of MA of Coppock Curve w/ MA cross
RSI of MA of Trix w/ MA cross
So the idea is that this is essentially multiple strategies combined into one backtestable house. Balance is calculated for all position sizes in order to try to prevent false entries that plague so many scripts (IE, you set pyramiding to 2, each buy $1000, initial balance $1000, and yet it buys two orders off the bat for $2000 total and nets 400% profit because the second was considered free, happens on 90+% of scripts on Tradingview if you aren't very very careful!)
You tune each indicator and position size them so that they work together as well as you can and in doing so you are able to create a single backtest that is capable of running a bot, essentially, between multiple strategies - you can run a slower Moving Average cross, a faster SMI cross or MACD , or Bollinger that grabs big moves only, all the while having MACD trade small bonuses along the way. This way you can weight the Risk to Reward of each against eachother.
I will not try to claim this is something you can open and with no work have the best bot on the planet. This scripts intention is to take a lot of relatively common trading strategies and combine them under on roof with some risk management and the ability to weigh each against eachother.
If you are looking for a super advanced singular algorithm that tries to capture every peak and valley exactly on the dot, this is not for you. If you are looking for a tool with a high level of customizability, with a publisher who intends to update it to the best of his ability in accordance to seeking to make the best product that I personally can make for both myself and the community (because I will be using this myself of course!) that was specifically designed with the intention of performing well in spot markets by averaging low entry costs and high exit costs, this is for you! That is the exact intention here. It can certainly work with margin, but you will have to take extra care in setting your stop losses. I intend to make a version capable of going short which will be included as part of the package. It may take some work to keep all of the risk management working as well for shorts though. There will be more scripts added to the “package” as I hit the limit on this one a few times and have had to keep some ideas out already.
The current backtest shown is hand-optimized by myself for Link /USD 10min market (Binance US – shouldn't need much work to fit to other exchange markets) with multiple stop losses.
3x SuperTrend Strategy (Mel0nTek) V1This is a triple SuperTrend based strategy for lower time frame trades such as day trades and scalping. I have not seen many strategies that combine multiple SuperTrends so I thought I would publish this one since I put it together and have been quite happy with the results. I have found through testing that the best results are on currency exchange markets such as Crypto or Forex on 1-15 min time frames.
The core idea was inspired by a youtube video put out by Trade Pro:
"Trade Pro - HIGHEST PROFIT Triple Supertrend Trading Strategy Proven 100 Trade Results"
I went ahead and set the defaults to the ones he uses in his video for anyone who wants to try a configuration similar to his. They work pretty well in general, however the EMA, SuperTrend ATR multipliers, and P/L ratio can be tuned/optimized to fit the timeframe/market desired. The video is quite good but not a required watch as I will explain below.
The 200EMA is used as a medium-term trend direction indicator.
- Price closing consistently above the 200EMA means that only long positions should be entered.
- Price closing consistently below 200EMA means that only short positions should be entered.
The 3 SuperTrend indicators should be used as direction confirmation for entries. Typically, price above SuperTrend indicates bullish movement, while price below SuperTrend indicates Bearish movement. However by itself, it is not a great indication to enter/exit positions in my experience. By combining 3 of them with slightly longer periods and increased ATR multipliers, we can get much stronger confirmation of trend direction/strength.
The way they are used in this strategy is such that:
- We only want to enter a position if at least 2 out of 3 SuperTrends are on our side.
- 3/3 SuperTrends on our side is the best case, since we are taking trades WITH momentum/price strength.
- The second farthest SuperTrend from entry price is used as a Stop Loss
SuperTrend being on our side is not the only requirement for an entry however. The probability of success is increased with SuperTrend, and a longer EMA on our side, but we want to be sure that we aren't getting in too late/after the movement has already happened.
So we use Stoch RSI to pick our entries where price is oversold/overbought and reversing. That means the Stoch RSI is above 80, or below 20, and our indication to enter the trade is when the 2 lines cross/begin reversing direction.
So with trend direction on our side, we can get really good entries at these oversold/overbought extremes, especially as it's reversing (Stoch RSI K and D are crossing). This allows us to use the SuperTrend as a support/stop loss on our entry since price should be above it.
Then we just target 1.5x our max loss so that even if we only win 50% of the time, we still make a profit.
The explicit rules of this strategy are as follows:
=== Rules ===
long only
- price above EMA200
short only
- price below EMA200
Stop Loss = 2nd SuperTrend line above (short) or below(long) entry candle
Profit = 1.5x SL/risk (Profit Ratio x Max Loss)
=== Entry Setup ===
LONG
- Stoch RSI below 20, cross up
- at least 2 SuperTrend lines below close
SHORT
- Stoch RSI above 80, cross down
- at least 2 SuperTrend lines above close
P.S. Special thanks to Trade Pro for producing so many quality videos, putting strategy claims to the test, and providing me with so many good ideas I apply to my own strategies.
Moving Average ScalperThe main goal of a scalping strategy is to open and close trades frequently, profiting from small gains and limiting the downside risk.
This strategy, on average, manages to close trades within one day, meaning that you are not exposed to the risk of holding that coin for long. In this way, market conditions affect much less the overall performance of the trading system.
The setup of this strategy uses four moving averages combined with an unconventional approach. On one side, the strategy aims to catch assets trading in a downtrend but on the verge of a possible reversal. Then, the goal of the trading strategy is not to ride the eventual uptrend but to close the trade with minimal profit so that it can scan the market for a new opportunity again.
ENTRY
The buy order is placed on assets that most likely are about to have at least a short-term "relief rally." To capture this setup, the strategy buys when
the MA9 crosses above the MA50
the MA50 is lower than the MA100
the MA100 is lower than the MA200
EXIT
The trading system closes the trade when the MA9 crosses above the MA200, which could be the first major resistance the asset faces before developing a more sustained uptrend.
As a reminder, the goal of the strategy is not to catch the whole upside of the asset but has a more conservative approach. This allows keeping the risk of the strategy low.
Pro tip: The 15-min time frame has proven to return the best results on average. The strategy can work well also in the 5-min time frame.
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
[CADCHF] DinhChienFX's Predict signaltrend: crossing 2 times upper 2/lower 2 - stop/profit: 1/1 - Entry: Upper/lower 1, Entry 2: 0.66 (66%)
HH-HL/LL-LH: 15:15; ADX: 38, smooth: 9, DI: 9.
Order 1: 92 trades - 65.22% - R/R: 1/1
Order 2: 64 trades - 54.02% - R/R - 1/1.94 (fibonacci 66%)
Total 2 order: 156 trades - 59.62% - Net Profit: 201.46% - Max drawdown: 9.02%.
Commission: 4usd/trade
slippage: 2
1. Identify the trend
* On the chart:
a. Part of Dow theory: multi-trades active at the impulse waves.
Uptrend trend:
- HH / Higher High: The following peak is higher than the previous one .
- HL / Higher Low: The back bottom is higher than the previous one .
Downtrend:
- LL / Lower Low: The back bottom is lower than the previous one .
- LH / Lower High: The posterior peak is lower than the previous one
Pivot left: 15
Pivot right: 15
b. Keltner price channel:
- Uptrend: Go above Upper 2 two times
- Downtrend: Down to Lower 2 two times
* Under Chart:
ADX indicator: Used to identify a strong trend
- ADX smooth: 9
- DI: 9
- ADX = 38
2. Entry point:
- Buy: Buy limit at the Upper Keltner channel.
- Sell: Sell limit at the Lower Keltner channel.
3. Take profit, stoploss
ATR indicator (20) ( Average true range ) * 2
[BTCUSD] DinhChienFX [2 orders]* Historical statistics from 2018:
* Strategy will enter 2 orders, Order 2 will appear only when there is Order 1:
- Percent profitable of 1st order: 64.76%.
- Percent profitable of 2nd order: 49.86%.
- Average percent profitable: 57.31%.
- 14 consecutive wins.
- 4 consecutive losses.
Order 1: risk / reward ratio 1/1 used to determine if this rule is effective or not?
Order 2: Appears when there is order 1, Use take-profit and take-loss level of order 1 at Fibonacci 75%.
. * 1st Order conditions:
- Buy: When the ADX index cuts up to 45, check earlier if the closing price has cut up and is above the Upper 2 line, enter the Buy order.
- Sell: when the ADX indicator cuts up to 45, check before that if the closing price has cut down and is above Lower 2 then enter a Sell order.
* How to enter Order 2: When order 1 appears, there are always Stoploss and Takeprofit levels. Draw Fibonacci from take-profit and take-loss prices, Fibonacci retracement level = 75%
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1. Trend identification:
- Channel Keltner:
... Uptrend: when the closing candlestick cuts up and is above the Keltner channel, the Upper Line 2
... Down trend: when the candle closes and falls above the Keltner Line Lower 2
2. Rules of entry:
- Channel Keltner:
... Buy: Candlestick closing price cuts up and above the Keltner Upper 2.
... Sell: The closing price of the candle cuts down and is lower than the Keltner Below 2.
ADX indicator:
... Buy: The ADX value crossed to 45 and the close of the candle was higher than Keltner Upper 2.
... Sell: ADX value cuts to 45 and the close of the candle is lower than Keltner Below 2.
3. Stoploss and Profit = atr (20) * 2.
Pullback Traps v. 0.1Trading Strategy for scalping the CME_MINI:ES1! and CME_MINI:MES1! futures on the 5 min. time frame.
The strategy will count legs and look for failed pullbacks and failed second entries where shorters get trapped.
How to use:
When a trap occurs (Marked with green light) place an order one tick above the high of the trap and enter on next candle
If entry doesn't happen on next candle and it has a lower high, move entry to one tick above high of that candle.
Keep doing the above until you enter or until a candle is marked with a blue light and the text Trap Dead.
If you see Trap dead and you haven't entered, quickly cancel your order.
What is green light?
A second or later pullback down away from the uptrend. When the green light is present the shorters haven't made a 1 point profit and short scalpers are trapped.
What is blue light?
1. Shorters made their 1 point profit and trap is dead. Cancel your trade. Or...
2. Shorters hit their stop loss and you're probably in a trade now and about to profit.
Profit and stop loss:
Numbers are done with profit 5 ticks and stop loss 30 ticks.
Should I have a stop loss 6 times greater than profit?
Probably not. The numbers you see here are made with these profit and stop loss figures but I don't advice it in real trading.
The numbers look good on this backtest but in reality a few bad trades would ruin everything.
This was made purely for fun and sim trading - Feel free to do your own testing and show the resulsts.
Heatmap - Multi-Timeframe Indicators - StrategyHeatmap - Multi-Timeframe Indicators - Strategy
▪ Main features :
- 19 Timeframes: 1m, 3m, 5m, 10m, 15m, 30m, 45m, 1h, 2h, 3h, 4h, 5h, 6h, 8h, 10h, 12h, 1D, 1W, 1M
- 6 indicators per timeframe
- choose specific timeframes for indicators (example - 1 hour)
- or choose specific timeframe ranges (example - 1 hour to 1 month)
The general idea is that the higher timeframe signals are stronger than the lower timeframe ones.
When a trend is starting, it is first visible on the lower timeframes.
The more time passes, the more the trend propagates through higher timeframes.
The default settings are meant to show all the available features. You may fine-tune it to your specific needs.
How to choose the timeframe for the chart : use the lowest of the choosen timeframes for indicators.
If the heatmap doesn't display correctly on your device, you may check the Heatmap Theme 🎨 setting.
It doesn't repaint.
"Repaint" version available though - good to check the past history, but very bad for real-time analysis.
▪ Indicators used for trend detection
1. MACD Cross
2. Stochastic Cross
3. Stochastic Cross and Overbought or Oversold
4. Moving Average
5. Parabolic SAR
6. Heikin Ashi
▪ Find the best Heatmap settings with the Strategy Tester version.
The signals generated by the Heatmap are considered to be valid at the bar open .
The Strategy Tester, however, uses the bar close in its calculations.
Therefore, the results may seem to be worse than they can be.
The Profitability, Profit Factor and other stats should be taken into consideration relatively to other configurations of the same Heatmap.
▪ Using a score system to consider a change in trend valid.
Example: consider the signal valid if 65% or more of all indicators (max 6) among all timeframes (max 19) hint at a change in trend.
The % percent value can be inserted in settings.
When using the default settings or when all timeframes and indicators are activated,
the ratio of 100% downtrend or 100% uptrend may be less occuring. Adjust accordingly.
The signals across timeframes and indicators are aggregated to show simple entry and exit signals.
▪ Combined Alerts, to be set to fire once per bar open :
0 - 📈 Long! - Heatmap - Multi-TFI
0 - 📈 Short! - Heatmap - Multi-TFI
0 - 📈 Long Exit! - Heatmap - Multi-TFI
0 - 📈 Short Exit! - Heatmap - Multi-TFI
1 *** BUY or SELL (single alert) ***
1 *** Entries or Exits (single alert) ***
▪ Note : The initial load may be slow. If something doesn't seem to work, you can try the following:
- wait more time for it to load
- hide & show or remove & add back to chart
- don't add the indicator to chart multiple times in a short amount of time, as you may be rate limited
▪ Related Studies :
- Heatmap - Multi-Timeframe Indicators - Alerts
- Risk Management System (Stop Loss, Take Profit, Trailing Stop Loss, Trailing Take Profit) - it can be connected to Heatmap - Multi-Timeframe Indicators - Alerts
▪ Layout example:
Cyatophilum Strategy BuilderAn indicator to create strategies, backtest and setup alerts.
The user can choose one or multiple TA entry conditions, if more than one the conditions are combined with a logical AND.
The entries will open up a trade, which is then handled by a risk management system including Trailing Stop, Take Profit and up to 100 Safety Orders.
This indicator can be used to backtest 3commas DCA bots who are using TA presets, RSI or ULT.
Its main goal is to create strategies by combining indicators.
Let's dive into the details of what's included:
Entry Condition: MACD
Triggers an entry when macd crosses with the signal line.
Configure the fast, slow length, signal smoothing and timeframe to trigger the condition.
Entry Condition: RSI
Triggers an entry when the RSI is higher or lower than the long/short threshold.
Configure the length, timeframe, long and short threshold to trigger the condition.
Entry Condition: ULT (Ultimate Oscillator)
Triggers an entry when the ULT is higher or lower than the long/short threshold.
Configure the 3 lengths, timeframe, long and short threshold to trigger the condition.
Entry Condition: Bollinger Bands
Triggers an entry when the price is above the upper band for long and below the lower band for short.
Configure the length, standard deviation and timeframe to trigger the condition.
Entry Condition: MFI (Money Flow Index)
Similar to RSI, it triggers an entry when the MFI is higher or lower than the long/short threshold.
Configure the length, timeframe, long and short threshold to trigger the condition.
Entry Condition: CCI (Commodity Channel Index)
Another oscillator that triggers an entry when its value is higher or lower than the long/short threshold.
Configure the length, timeframe, long and short threshold to trigger the condition.
Trend Filters
Use one or two trendlines to filter your trades: go only long/short when the trendline is bullish/bearish.
Choose between the several trendlines: ema, sma, wma, hull ma, kama, alma, rma, swma, vwma, Tilson T3, and the unique Adaptive T3 and Adaptive Hull MA.
If this is not enough, you can use the external trendline feature to plug in any other indicator for your trendline.
The second trendline can be MTF and come from another symbol if needed.
Combining Indicators
Most of the time we will not be using a single indicator at a time, but instead, combine them in order to get stronger entries.
The entry conditions are combined using a AND logical gate, meaning all conditions must be true for the entry to trigger.
Here is an example using a combination of 2 indicators: Bollinger Bands and RSI.
We can see less entries are being triggered on the bottom chart than on the top chart because the bottom chart is combining the 2 indicators while the top chart is only using Bollinger Bands.
You can combine up to all 6 indicators if you want, but keep in mind that combining too many may lead to triggering no entry at all.
Risk Management and Trade system
The indicator will not trigger more than one long or short entry in a row.
To start a new trade, the indicator will wait for either take profit, stop loss or an opposite entry if no SL and TP is set.
Stop Loss and Take Profit
Configure your stop loss and take profit for long and short trades.
You can also make a trailing stoploss and a trailing take profit.
Safety Orders
Just like 3commas bots, you can create a strategy with up to 100 safety orders.
Configure their placement and order size using the price deviation, step scale, take profit type (from base order or total volume), and volume scale settings.
Note: only the 20 first safety order steps or so will be plotted due to graphic limiations. The steps after that still trigger alerts and backtest results.
Creating Alerts
The indicator is using the newest alert system:
1. Write your alert messages in the indicator settings (alert section at the bottom)
2. Click "Create Alert" as usual, but choose "alert() function calls only"
Data Window
Since the indicator is applied on top of the price chart, the oscillator indicators cannot be plotted. You can always add them on another pane but if you want to just see their values, you can use the Data Window to see the value of each oscillator on each bar.
Backtest settings
Used to get the results below:
Initial Capital: 100 000$
Base Order Size: 0.1 contract (BTC)
Safety Order Size: 0.1 contract (BTC)
Commission: 0.1%
Slippage: 100 ticks
pyramiding: 6
The indicator settings are plotted in the main chart panel.
Flawless Victory Strategy - 15min BTC Machine Learning StrategyHello everyone, I am a heavy Python programmer bringing machine learning to TradingView. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5 . Let me talk a little bit more about how the strategy works. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I will continue to apply machine learning to all my strategies from here on forward. Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I'm always willing to create profitable strategies!
P.S. You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. This is my way of being transparent with you all. Have fun trading!
Ultimate Strategy TemplateHello Traders
As most of you know, I'm a member of the PineCoders community and I sometimes take freelance pine coding jobs for TradingView users.
Off the top of my head, users often want to:
- convert an indicator into a strategy, so as to get the backtesting statistics from TradingView
- add alerts to their indicator/strategy
- develop a generic strategy template which can be plugged into (almost) any indicator
My gift for the community today is my Ultimate Strategy Template
Step 1: Create your connector
Adapt your indicator with only 2 lines of code and then connect it to this strategy template.
For doing so:
1) Find in your indicator where are the conditions printing the long/buy and short/sell signals.
2) Create an additional plot as below
I'm giving an example with a Two moving averages cross.
Please replicate the same methodology for your indicator wether it's a MACD, ZigZag, Pivots, higher-highs, lower-lows or whatever indicator with clear buy and sell conditions
//@version=4
study(title='Moving Average Cross', shorttitle='Moving Average Cross', overlay=true, precision=6, max_labels_count=500, max_lines_count=500)
type_ma1 = input(title="MA1 type", defval="SMA", options= )
length_ma1 = input(10, title = " MA1 length", type=input.integer)
type_ma2 = input(title="MA2 type", defval="SMA", options= )
length_ma2 = input(100, title = " MA2 length", type=input.integer)
// MA
f_ma(smoothing, src, length) =>
iff(smoothing == "RMA", rma(src, length),
iff(smoothing == "SMA", sma(src, length),
iff(smoothing == "EMA", ema(src, length), src)))
MA1 = f_ma(type_ma1, close, length_ma1)
MA2 = f_ma(type_ma2, close, length_ma2)
// buy and sell conditions
buy = crossover(MA1, MA2)
sell = crossunder(MA1, MA2)
plot(MA1, color=color_ma1, title="Plot MA1", linewidth=3)
plot(MA2, color=color_ma2, title="Plot MA2", linewidth=3)
plotshape(buy, title='LONG SIGNAL', style=shape.circle, location=location.belowbar, color=color_ma1, size=size.normal)
plotshape(sell, title='SHORT SIGNAL', style=shape.circle, location=location.abovebar, color=color_ma2, size=size.normal)
/////////////////////////// SIGNAL FOR STRATEGY /////////////////////////
Signal = buy ? 1 : sell ? -1 : 0
plot(Signal, title="🔌Connector🔌", transp=100)
Basically, I identified my buy, sell conditions in the code and added this at the bottom of my indicator code
Signal = buy ? 1 : sell ? -1 : 0
plot(Signal, title="🔌Connector🔌", transp=100)
Important Notes
🔥 The Strategy Template expects the value to be exactly 1 for the bullish signal , and -1 for the bearish signal
Now you can connect your indicator to the Strategy Template using the method below or that one
Step 2: Connect the connector
1) Add your updated indicator to a TradingView chart
2) Add the Strategy Template as well to the SAME chart
3) Open the Strategy Template settings and in the Data Source field select your 🔌Connector🔌 (which comes from your indicator)
From then, you should start seeing the signals and plenty of other stuff on your chart
🔥 Note that whenever you'll update your indicator values, the strategy statistics and visual on your chart will update in real-time
Settings
- Color Candles : Color the candles based on the trade state (bullish, bearish, neutral)
- Close positions at market at the end of each session : useful for everything but cryptocurrencies
- Session time ranges : Take the signals from a starting time to an ending time
- Close Direction : Choose to close only the longs, shorts, or both
- Date Filter : Take the signals from a starting date to an ending date
- Set the maximum losing streak length with an input
- Set the maximum winning streak length with an input
- Set the maximum consecutive days with a loss
- Set the maximum drawdown (in % of strategy equity)
- Set the maximum intraday loss in percentage
- Limit the number of trades per day
- Limit the number of trades per week
- Stop-loss: None or Percentage or Trailing Stop Percentage or ATR
- Take-Profit: None or Percentage or ATR
- Risk-Reward based on ATR multiple for the Stop-Loss and Take-Profit
This script is open-source so feel free to use it, and optimize it as you want
Alerts
Maybe you didn't know it but alerts are available on strategy scripts.
I added them in this template - that's cool because:
- if you don't know how to code, now you can connect your indicator and get alerts
- you have now a cool template showing you how to create alerts for strategy scripts
Source: www.tradingview.com
I hope you'll like it, use it, optimize it and most importantly....make some optimizations to your indicators thanks to this Strategy template
Special Thanks
Special thanks to @JosKodify as I borrowed a few risk management snippets from his website: kodify.net
Additional features
I thought of plenty of extra filters that I'll add later on this week on this strategy template
Best
Dave
scalping against trapped countertrendAbstract
This script attempts to find the end of countertrend.
This script uses oscillators to measure long term and short period trends. When the long term trend keeps positive and clear short term period is over, this script provides a buy signal.
This script does not contain pullback, cut loss and re-enter. You need to add it manually.
Introduction
Many traders want to buy when long term trend is bullish and short term pullback is over.
This is because we can take advantage to the emotion of countertrend traders.
Countertrend traders realizes their profit is finite and therefore want to protect their profit well and limit their loss.
This script is inspired by a searchable trading strategy video.
The video mentioned 4 points.
(1) long term trend. The video did not spend much ink on this point. You can use any method to observe.
(2) clear pullback bar (at least 50% body)
(3) weak bar after clear pullback
(4) entry trigger buy stop
This script attempts to quantize these points to determine trading direction.
This script is originally designed for timeframes lower than examples in the video but you can apply it on any timeframe.
Computing and Adjusting
(1) long term trend
This script uses smoothed stochastic.
(2) clear pullback bar
Since this script is originally designed for timeframes lower than examples in the video, so the condition becomes:
RSI is low enough
(3) weak bar after clear pullback
RSI goes back from low level.
(4) entry trigger buy stop
This script does not include this condition.
You can decide enter when buy stop or pullback.
Parameters
x_src : the value for computing oscillators
x_len_a : how many bars for measuring short term trend
x_len_b : how many bars for measuring long term trend
x_k_b : smooth long term trend, the average value of stochastic values
x_changk = check if clear short term pullback appears recently. 1 means do not use, larger numbers means how long of periods to check.
x_rsi_ct : threshold of short term pullback clear
x_rsi_ft : threshold of short term pullback end
Reading numbers in Strategy Tester
Most possible loss :
(1) to find rational pullback. Generally 1/3 to 2/3 atr.
(2) to find cut loss distance. Generally 1 to 2 atr.
Most possible profit :
to find if trading the opposite direction against this script is profitable.
Conclusion
This script can suggest us trading direction.
Waiting for pullback can reduce risk, compared to buy stop.
This script does not provide good signals in sideways markets.
Reference
A searchable trading strategy video
Self-Optimising MACD (Experimental)Hi guys, just thought I'd share a small part of an idea i've been working on.
One of the biggest problems with algo trading is optimisation and finding a way to constantly adapt to the market conditions as time unfolds.
First of all... You should NEVER EVER trade just using a MACD, including this study, and I only produced this script in a small amount of time, so make sure you backtest it properly before using it. When backtesting, it is my advice that your sample size should be at least 5000 trades, but I recommend 10000 in order to get sufficient statistical significance.
Also, I am not a financial advisor, and any trading based decisions are your sole responsibility.
Anyways...
This script is simple... it simply uses 4 different MACD's and tracks their profit/loss and automatically uses the one with the most historical profit at any given time to execute a trade. The type of MACD will obviously change as market states fluctuate.
Included are : Hull MACD, Ema MACD, Sma MACD and VWMA Macd.
You can adjust all four of their settings to your desire.
The trade execution is simple and definitely flawed... it simply tracks the MACD when it has a crossover for long, and then the opposite for short.
The green line represents the performance of the top MACD for Longs at any given time. This line refreshes once a year, and where it is in relation to price, reflects how profitable it has been I.e - the higher it is the better.
The Red line represents the performance on the Short side, and again, it reflects profit/loss, but this time the LOWER the line is in relation to price the better.
There is no exit strategy in place! This is why I do NOT recommend trading off this script alone, but to use it as a tool to help optimise your choice of MACD.
However, your exit strategy could change your optimal choice of MACD, so keep that in mind.
The lookback period represents how far the script will track the performance at any given time. This will change your results. The longer the period, the more it will show long term success and vice versa.
This optimisation process could be done with different indicators, moving averages, or even multiple strategies to find the most statistically viable option at any given time... if you wish to have this process coded into your strategies or indicators, message me.
Enjoy.
Renovation-10 (Including 10 Traditional Indicators)This idea is not rare. It is just a combination of 10 most well know and traditional Indicators to form one renovated indicator. There are Moving Average (MA), Volume (V), Bollinger Band (BB), Relative Strength Index ( RSI ), Stochastic RSI, Modified Stochastic RSI, Moving Average Convergence Divergence ( MACD ), Average directional index ( ADX ), Average True Range (ATR) and Parabolic Stop and Reverse (PSAR). These indicators most I found was just showing entering position strategic alone. I just want to know how well them work together when combination. I modified many times and thinking for the strategic enter and exist position with the choice of these 10 indicators to maximize the profitability which shows in strategic tester in every stock and conditions.
THEORY:
Fluctuation of price is like a Wave which I categorized it into four period. They are Sideway, Breakout Positive and Negative, Retracement and Consolidation. Breakout is rare to happen, either go up or go down. After a breakout usually will have small retracement, then trend will go for sideway. After long period of sideway, the wave is starting to run out of energy and there will be consolidation period.
STRATEGIC OPTION:
S: Sideway Period
B: Breakout Period
R: Retracement Period
(+): Buy
(-): Sell
PROBLEM:
1. Not performing very well at very penny stock which the graph looks like barcode.
Suggesting can change daily graph to weekly graph to avoid.
2. Be careful with Sideway entry signal because sometimes price may continue go down. You will stuck at middle if you enter without confirmation.
Confirm the price is stable at support by current low is higher or equal to past three to five day low before entry.
3.Always remember Breakout is rare, do not push for luck
Always make profit at Sideway and Retracement trend. Can Sell half only at BB when breakout buying signal is available, to avoid losing chance of chasing breakout.
4. Breakout selling signal 2 may delay
After breakout, make sure sell all when 2-3 red candle appeared or When BB is squeezing.
5. Other tools may required to confirm entry position.
These combination strategic is more to personal experiences and knowledges, it hard to adjust in coding for strategic position.
This is my first publication and I just do it for fun, having fun in reading the script and creating own ideas.
Information provided is only educational and sharing , should not be used to take action in the markets.
JFRewards Indi Channel <Heikin> v4.0<>
SOP guidelines only given to JF members .
The ideas are:
1) Finding where to enter position of buying and sell.
2) Finding where is the realistic take profit target within 24 hours with maximum profits.
3) Finding Trailing STOP LOSS, Trailing Take Profit, Take Profit, STOP LOSS.
Fully tested with @Binance Exchanger with numerous of stablecoins and altcoins as well as BTC , ETH.
Performance cannot be shown due to non standard chart of Heikin Ashi.
