VWMA with kNN Machine Learning: MFI/ADXThis is an experimental strategy that uses a Volume-weighted MA (VWMA) crossing together with Machine Learning kNN filter that uses ADX and MFI to predict, whether the signal is useful. k-nearest neighbours (kNN) is one of the simplest Machine Learning classification algorithms: it puts input parameters in a multidimensional space, and then when a new set of parameters are given, it makes a prediction based on plurality vote of its k neighbours.
Money Flow Index (MFI) is an oscillator similar to RSI, but with volume taken into account. Average Directional Index (ADX) is an indicator of trend strength. By putting them together on two-dimensional space and checking, whether nearby values have indicated a strong uptrend or downtrend, we hope to filter out bad signals from the MA crossing strategy.
This is an experiment, so any feedback would be appreciated. It was tested on BTC/USDT pair on 5 minute timeframe. I am planning to expand this strategy in the future to include more moving averages and filters.
在腳本中搜尋"algo"
5MA_X_LThis is a 5 day moving average crossing long strategy in 10 min. chart, used in short term momentum trading strategy.
Momentum trading Strategy: When S&P 500 index is at up trend (or above 60 sma ), buy 10+ stocks in top 20% stock RS ranking at equal weight using this MA5X_L strategy. Change stocks when any stock exited by algorithm.
Back test start since 2020/7/1, each long entry for condition 1 is $30000, condition 2 is $20000, with max of 2 long positions.
Setup: 10 minutes chart
Buy condition 1) 3 wma cross up 195 wma (5day) 2) 3wma > 78wma > 195wma UP Trend Arrangement (UTA)
Exit condition 1) 3 wma cross under 195 wma 2) position profit > 20% and 3 wma cross under 6 ATRs line (green)
How to use Leverage and Margin in PineScriptEn route to being absolutely the best and most complete trading platform out there, TradingView has just closed 2 gaps in their PineScript language.
It is now possible to create and backtest a strategy for trading with leverage.
Backtester now produces Margin Calls - so recognizes mid-trade drawdown and if it is too big for the broker to maintain your trade, some part of if will be instantly closed.
New additions were announced in official blogpost , but it lacked code examples, so I have decided to publish this script. Having said that - this is purely educational stuff.
█ LEVERAGE
Let's start with the Leverage. I will discuss this assuming we are always entering trades with some percentage of our equity balance (default_qty_type = strategy.percent_of_equity), not fixed order quantity.
If you want to trade with 1:1 leverage (so no leverage) and enter a trade with all money in your trading account, then first line of your strategy script must include this parameter:
default_qty_value = 100 // which stands for 100%
Now, if you want to trade with 30:1 leverage, you need to multipy the quantity by 30x, so you'd get 30 x 100 = 3000:
default_qty_value = 3000 // which stands for 3000%
And you can play around with this value as you wish, so if you want to enter each trade with 10% equity on 15:1 leverage you'd get default_qty_value = 150.
That's easy. Of course you can modify this quantity value not only in the script, but also afterwards in Script Settings popup, "Properties" tab.
█ MARGIN
Second newly released feature is Margin calculation together with Margin Calls. If the market goes against your trades and your trading account cannot maintain mid-trade drawdown - those trades will be closed in full or partly. Also, if your trading account cannot afford to open more trades (pyramiding those trades), Margin mechanism will prevent them from being entered.
I will not go into details about how Margin calculation works, it was all explainged in above mentioned blogpost and documentation .
All you need to do is to add two parameters to the opening line of your script:
margin_long = 1./30*50, margin_short = 1./30*50
Whereas "30" is a leverage scale as in 30:1, and "50" stands for 50% of Margin required by your broker. Personally the Required Margin number I've met most often is 50%, so I'm using value 50 here, but there are literally 1000+ brokers in this world and this is individual decision by each of them, so you'd better ask yourself.
--------------------
Please note, that if you ever encounter a strategy which triggers Margin Call at least once, then it is probably a very bad strategy. Margin Call is a last resort, last security measure - all the risks should be calculated by the strategy algorithm before it is ever hit. So if you see a Margin Call being triggred, then something is wrong with risk management of the strategy. Therefore - don't use it!
HMA_ATR StrategyATR with HMA experimental minimalist bot for ETHBTC .
A strategy for use by Automated Algorithm systems.
Different from normal ATR as it uses HMA for smoothing.
Example settings result shown here on chart include commission 0.5%
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.
Stochastic TrendDear community,
I've made another simple trading bot for you to use. This bot is based on the Stochastic Oscillator. It only produces long trades currently.
I changed the oscillation period to a much longer one, which in turn creates opportunities to trade long term trends.
The bot goes long when the Entry lines is crossed from below and it will close its long position once the Exit line has been crossed from above.
Improved simple RSI Buy/Sell at a level (SL/TP)Improved Simple Strategy based on RSI, using overbought or oversold levels.
Backtest: ETHPERP (FTX) - 30m
Set STOP LOSS and GET PROFIT as a percentage (2% and 10% by default).
If strategy.position_size != 0 algorithm convert percentages into points and set stop loss and take profit limit orders.
Fibonacci DCA TrendThis bot makes use of an algorithm which detects new heights and places limit orders according to the Fibonacci retracement theory. By placing limit orders under the current price, the bot allows itself to catch smaller and larger dips. This is also known as “Dollar-Cost-Averaging”, DCA in short. This bot is ideal for bull markets, both on crypto and stock indices.
The green lines are the limit orders. As soon as the price touches the limit order, a position is entered.
The settings of the back test as follows:
starting capital = 100k
leverage = 1
commission = 0.2%
Equity per trade = 5%, a realistic investment strategy when trading 2-3 assets with this bot.
It’s advised to trade this bot with futures for potential leverage. On time frames lower than H1 I’d use 2x-3x leverage for better results, especially in trending markets. On larger time frames I wouldn’t use any leverage.
This bot has very strong results on a multitude of assets. The best results are on the M15 time frame.
To give you a few ideas, this bot is tested on the assets below. All the results are very similar. You can contact me for a back-test on a specific asset. You can find the back-test results on my website.
BTC
ETH
SPX500
NAS100
The standard inputs are generally the best all-round inputs. Feel free to change the inputs to your liking.
I've also made a study-script for easy implementation on the exchange. You get that script once you get access to this bot.
RSMI have published that script not like oscillator, which in fact it is, because tradingview doesn't support dual plots in overlay=true and overlay=false. So I have decided that to show filter is better idea. Yes, it decrease potential profit on long term, but for me personally, it is much better to understand the direction of the market movement and take potential trades more seriously. Also about this script: in general based on RSI and works pretty nice on 1H timeframe. Yes, theoretically it can work on both 4H and 1D timeframes, but for this you need to change the settings that are not displayed in the inputs (I did not add them, due to the fact that they can be confusing, because I decided to add a filter). And about filter - it is one of the variations of the SuperTrend. According to House Rules, I cannot insert links here, but only if you are interested in trying this work in auto trading, you can follow the link (located even lower) and find there an algorithm with the same name.
Strategy NNFX Tester Strategy NNFX, Baseline, QQEs Fast C1, Slow C2, ATR, Volume and Exit
This is a Strategy Tester designed to work with Study (Alerts) of the same.
At time of creation based on Revision 8 of the Study.
DO NOT USE the Currency/Money Management section under settings. use the position sizing under "Inputs" - "Money Management" - "Risk per trade" which is defaulted to 2%
This has adjustable Baselines, Exits, ATR calculations, C1 and C2 are currently QQE & QQE Histo with adjustable settings but I'll include more choice of C1 & C2 as time goes on.
Find settings that work for you, then move them over to the Study version for best results.
Forward plans are to add much more options to both Alert/Strategy.
If anyone wants to collaborate or anything hit me up.
Dankland Playground DCAing multi-strategy OPThis is essentially a script that I made for myself before deciding it may be good enough for you all as well.
How it works basically is this... you have 18 oscillators which can all be used as independently as you wish. That means there are 20 groups which they can be split amongst as you choose.
When in separate groups they should not be able to sell eachothers positions without triggering a stop loss. Every single oscillator has its own position sizing and exit sizing which can be stated as either a percent of balance or a flat amount of contracts. 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.
The included oscillators are as follows:
Chande Momentum cross
Moving Average Cross
MACD cross
%B Bollinger cross
Stochastic cross + region filter
Stochastic RSI cross + region filter
SMII cross and region
Three RMIs
Standard RSI
LSMA-smoothed RSI
Know Sure Thing
RSI of KST
Coppock Curve
RSI of Curve
PPO
RSI of PPO
Trix
RSI of Trix
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)/
You tune each side 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.
I do not trade margin currently, I trade spot. I am sure this script can be tuned to work on margin but this is not my intention or area so if this is you and there is something you need for margin specifically implemented, ask, because I likely don't know what you need yet.
The current backtest shown is hand-optimized by myself for BTC/USD 1hr market with NO stop loss enabled and all sales weighed to be around 0% minimum profit from the total average entry cost.
I chose to run it myself with no stop losses because Bitcoin is so bullish to me. The stop losses can still be very profitable, but not 1495% net profit. This style of automation is not for everyone as when running with no stop loss and the requirement every sale is somewhat profitable, or at least no very noticeable loss, you wind up relying on yourself to manually stop out if things crash too much and the bot has to stop trading to wait for market to go back up. The thing to do here if you are playing without a stop loss is to have your own alerts set at your fear level, a % drop in a period of time or something like that, and when you reach that point I would consider resetting the bot so it continues to take trades. I personally will accept a temporary drop in USD as long as I can keep my BTC holdings up overall as the goal should always be to have as many BTC as possible by the start and end of the bull run.
NIKI MSS BANKNIFTYThis is the strategy version of my old indicator NIKI BANKIFTY. It is more suitable for day trading with a 5 min chart. It is more profitable in BANKNIFTY future. It is based on multiple Supertrend, moving average, Donchain channel, and linear regression. The background color indicates the main trend and the color of the candle represents a short-term trend. The label with TA and SL represents more profitable entry positions. The label RE: LE and RE: SE stands for re-entry positions or signals with less accuracy. Consider the direction of the linear regression line to take trades on re-entry positions. The yellow candle indicates the entry and the blue candle represents the target or stop-loss.
The backtest results are based on BANKNIFTY last year's data. It has an initial capital of 100000 and the size of the lot is 1. The target is 0.3% and stop-loss is 1.5%. It exactly not following the stop loss, the trade will exit based on the Donchain channel breakout. It appears on the chart as a blue candle. The commission paid is 20 cash per trade and the slippage is 5 ticks per trade. Some of the Indian broker's commission is only 10 cash per trade. Adjust the commission as per your broker. Trades are conducted based on the intraday time in India set from 9.20 am to 2.25 pm. All positions will get square off at 3.00 pm. It will execute a maximum of 4 trades per day. All other parameters are suitable for Robo trading with Indian stock brokers.
Contact us using the link given below to obtain access to this indicator.
RSI-VWAP Indicator %█ OVERALL
Simple and effective script that, as you already know, uses vwap as source of the rsi, and with good results as long as the market has no long-term downtrend.
RsiVwap = rsi (vwap (close), Length)
The default settings are for BTC in a 30 minute time frame. For other pairs and time frames you just have to play with the settings.
█ FEATURES
• The option to start trading from a certain date has been added.
• To make the profit more progressive, a percentage of your equity is used for entries and a percentage of your position is used for closings.
• The option to trade in Spot mode has been added, since, for the TradingView backtest, the money is infinite and if you do not limit it somehow,
it would offer you much better profits than the live trading.
QuantityOnLong = Spot ? (EquityPercent / 100) * ((strategy.equity / close) - strategy.position_size) : (EquityPercent / 100) * (strategy.equity / close)
• The option to stop the system when the drawdown exceeds the fixed limit has been added.
Drawdown, as you already know, is a very important measure of risk in trading systems.
The maximum drawdown will tell us what the maximum loss of a trading system has been during a period. This maximum loss is determined by:
strategy.risk.max_drawdown(Risk, strategy.percent_of_equity)
• Leverage plotted on labels added.
█ ALERTS
To enjoy the benefits of automatic trading, TradingView alerts can be used as direct buy-sell orders on spot, or long-close orders with leverage.
Currently there are Chrome extensions that act as a bridge between TradingView and your Exchange or Broker.
This is an example of syntax for this type of extensions. Copy and paste a message like this into the alert window:
{{strategy.order.action}} @ {{strategy.order.price}} | e = {{exchange}} a = account s = {{ticker}} b = {{strategy.order.action}} {{strategy.order.alert_message}}
█ NOTE
Certain Risks of Live Algorithmic Trading You Should Know:
• Backtesting cannot assure actual results.
• The relevant market might fail or behave unexpectedly.
• Your broker may experience failures in its infrastructure, fail to execute your orders in a correct or timely fashion or reject your orders.
• The system you use for generating trading orders, communicating those orders to your broker, and receiving queries and trading results from your broker may fail.
• Time lag at various point in live trading might cause unexpected behavior.
• The systems of third parties in addition to those of the provider from which we obtain various services, your broker, and the applicable securities market may fail or malfunction.
█ THANKS
Thanks to TradingView, its Pine code, its community and especially those Pine wizards who post their ideas that helps us to learn.
If the world is heading toward a equitable new world economic order, let's get rich first ...
Happy trading!
JetzGiantz StrategyThe algorithm for this strategy was provided by JetzGiantz.
It creates buy and sell signals based on the close and open prices of the previous 3 bars, and compares them to the lowest low, or highest high, between the last 3 and 50 bars.
You can select the month and year you wish to backtest.
You can enter the SL and TP values.
There are no other inputs.
Simple Price MomentumSimple Price Momentum Strategy ( SPM )
The term momentum was borrowed from Newton’s first law of motion. The law states that where an object in motion tends to stay in motion until an external force is applied to it. Like in the law of physics, a market in motion tends to stay in motion rather than reverse. This is the reason why a momentum indicator strategy is so powerful.
My algorithm depends on two signals, an open and an exit.
Basically, while the Green shows earlier, the signal actually takes place at the end of the bar. Remember “close” source is the current price while the candle is still forming, because it can change its state it could create a situation where “A > B” and then change to “A < B”, so we don’t know which one is the final value until the bar officially ends. This is why the backtest engine opens a position in the bar after.
Smoothed Trend Wave (Strategy)
This is a the Final version of Smooth Trend Wave
* Average Trend is show
* Calculation of different period of moving average
* Candlestick Pattern
* Background color is based on candle color.
Use Strategy Format to show back-test result. When I create this indicator is based on daily chart. (lower timeframe, result might be different)
7 type of strategy (can be select)
Strategy 1 & 2 : long/short according the trend
Strategy 3 & 4 : long/short according retracement in same trend
Strategy 5 & 6 : long/short bet for rebound
Strategy 7 : potential buying point (low chance happens)
Example of back-testing is use crypto between 1-1-2019 to 30-7-2020 (after JULY is a bullish momentum will causing *repaint" of strategy result)
* Strategy is set initial equity of 10000usd
* Each order is only 30% of equity, to make risk management
* Maximum 5 order is allow in strategy
Kindly PM or comment below if you have any question.
Noro's ZZ-6 by hamster-botThe original script is available here
New version of ZZ-strategy.
Repaint?
Normal lines are not redrawn. Dotted lines repaint, but do not affect trading (do not affect backtests). You can turn off repaint in the script settings. Repaint (dotted lines) are needed only for clarity. To make it clear from which bar the level is created.
Levels
Lime lines above - level from a local high bar. To open a long position. Using a market stop order.
Red line at the bottom - the level from a local low bar. To open a short position. Using a market stop order.
Trading
You can trade without short positions. Then the red line is the level for a stop-loss order.
Reverse trading can be used. Without stop-loss orders.
Risk size
Order size depends on the risk size parameter and possible loss. If risk size = 2%, it means that the loss will be no more than 2%.
For crypto
Symbols: XBT/USD, BTC /USD, BTC /USDT, ETH/USD, etc - need USD(T)
Timeframes: 1h, 4h, 1d
The script will continue to be developed by the Hamster Bot team
5 min scalper for indian marketHi friends....publishing 5 min scalper for indian market... which shows the movement of price over time and how strong those movements are/will be, regardless of the direction the price moves, up, or down. Indicator specifically useful, as it helps traders and analysts spot points where the market can and will reverse by providing signals long (buy) and short (sell). Show the relative strength of price movements but leave out the directionality of the price movements, best utilized in combination with other technical indicators – such as trend lines and moving averages – which show price trends and directions. Having an alert feature to make aware market players from signals provided by strategy.
It analyz underlying volume and shows buy and sell signal...
U also can modify algo length ..
some tips for new traders to become successful trader
1: always follow risk management...
2: every stock/ forex / crypto has it own cycle.. So pls dont jump from one stock / forex pair to another when u hear some stock / crypto has
made new high or low... Bcs after that consolidation period starts.. During consolidation we can not make more profit as in trending market.. So be patient when u had made some position or tarde in one stock/ pair...
3 : we dont require to trade in every stocks / forex/crypto.. Just one stock and pair trading daily make u profitable beyond ur expection.. Bcs
trading in one stock / forex pair.. make u very comfortable and u may always know its movement... And u also trade in every cycle of this
stock/ pair.. So u also trdae its trend days which made highest profit. We dont know when is trend of any stock... Compare with it
business... Trading is business not one day rich game... Its business... It takes time and u have to do same thing agian and again to become
sucessfull trader for this u can use tradingview alerts. .for that u dont need to seat infrot of ur terminal screen.. u can also do algo trading
by using tradingview alerts
4 : By following risk management and incerase lot size as profit increased... This is the key 🔑 of sucess in stocks / forex / crypto market.
I thinks this tips may help new trader. U can modified according to ur trading style..
You can personal message me if u want to use this strategy
******************if u want to use this indicator u can personal message me********************************************************
Keltner Channel [LINKUSDT] 1HThis is a long-only strategy tested on LINK/USDT, 1 hour bar, from Feb 2019. The entry is determined by the breakout of upper Keltnel Channel and when the +DI is higher than 32. Instead of a fixed stop-loss from the original script , I change the exit to the middle band of the Keltnel Channel. 1st profit target will close 20% of the position. 2nd profit target will close 30% of the position. While the remaining 50% position will be closed when the price closes below the middle band of the Keltnel Channel, to take advantage of big trend. All parameters are adjustable. I added another option to enable or disable the ribbon trend filter.
My thoughts: For the same period, LINK appreciated 3000%. So I guess most in and out strategies couldn’t beat a buy and hold strategy during this period. But this doesn’t mean that this strategy is not feasible as each strategy is designed to only take advantage of a certain pattern or behavior of the market. Also, short term strategies allow you to use leverage and hence enable you to use you capital efficiently. Commission is set to 0.1%, taking account of the slippage.
Suggestion: Please perform walk forward analysis before you use real money for trading. Parameters need to be adjusted from time to time depends on your analysis. Can try using ATR for profit targets as over a longer term, the volatility might drop hence a high fixed % profit targets might not be realistic.
Any suggestions are welcome!
BTCUSD 30MIN TREND STRATEGYBTCUSD 30MIN TREND STRATEGY.
This strategy signals is based on the market close price and calculate for buy and sell signals. it uses composite technical algorithm to filter out the best buying and selling points.This indicator should be used to see trend, range zones, evaluate the best areas to enter the market, use only 30 MINUTES and BTCUSD and only bitcoin derivatives BTCUSDT perpetual or inverse etc. Can use spot or future markets
It designed for automatic crypto trade bot systems. You can use alarms from webhook setting up for your bot.
For use message me.
PpSIgnal Algorithm Trade System BANKNFTY Only for trading BankNifty Fut.
Use in 15 minutes time frame.
Initial capital 1000 Use Indian Rupee , you buy the maximum of the capital since it represents little money at the beginning, you can risk less capital in percentage, for example, 10% of 1000 IR.
Commission 0.006% per contract, we use the commission of one of the best-known brokers.
You can adjust the slippage you consider.
Date of time strategy
strategy star from 05/2019, You can choose the start day and the end day of the backtesting test.
Money management
Take profit to buy 1%
Stop Lose sell 1%
Take Profit 1%
Stop Loss 1%
How it works?
The system works by looking for trends and volatility in a 15-minute time frame.
Once the system finds the trend and volatility, it opens an operation looking for a profit at the buy of 1% and loss control of 1%. For Sell operations, it will seek a 1% profit with a 1% loss control.
Enjoy it ....date expired 17 December 2020
[SATS]Foreca$ter Backtester **This is Backesting version of Foreca$ter Indicator. Access of backtester will be gained together with access of Foreca$ter**
Foreca$ter is an indicator design for trend trading.
Description:
Foreca$ter is originally design for trend trading, but with the timeframe focus on lower timeframe eg: 15mins, 5mins and lower, it can be used as indicator scalping.
There are symbol in Foreca$ter indicator that preview on the where next possible Buy/Sell signal might be generated and pay attention on it.
In the setting, multiple signal can be toggle on to shows multiple signal that generated. It also provide the ability to set SL and multiple TP targets for alert setting.
The algorithm is based on multiple aspect to signal Buy and Sell signal. Below are the aspect behind.
-Determine support resistance on higher time frame using pivot level.
-Multiple EMAs cross are use for trend determination.
-On lower timeframe, breakout of support or resistance follow by trend confirmation to signal Buy and Sell
-The signals are ticker specified and there is fine tuned between different tickers and timeframe. Therefore it only works on the specified tickers and timeframe in the sysmbol.
User Manual:
Symbol: You must match the symbol with the pairs and timeframe for it to works. Eg: For "Binance: BTCUSDTPERP 15mins" you need to set the ticker as Binance: BTCUSDTPERP and set timeframe to 15mins
Show Info Panel: Toggle on and off of info panel.
Multiple Entry: Toggle on to generate signal whenever the condition are met. This give you next possible entry if you missed the current one.
Customizable stoploss and multiple take profit target
Alert for Buy/Sell, SL and multiple TP
Current support pairs:
-BTCUSDTPERP 15mins
-BNBUSDTPERP 15mins
-LINKUSDTPERP 15mins
-LINKUSDTPERP 5mins
-LINKUSDTPERP 3mins
Remarks:
- Foreca$ter is continuous develop on new pairs and on different timeframe.
DM us in TV or our Discord for access to the indicator.
IBVOL SignalsThis indicator can be used for swing algorithmic trading. It will give Buy and Sell signals on the chart based on concepts of volatility and momentum.
This works for the IBVOL-USD token on FTX exchange.
Value for the traders: During periods of sideways price action by BTCUSD, the value of IBVOL will go up and the indicator will give a buy signal and traders will profit if they buy the token. Just before an impending volatility, such as spike of BTC price, it will signal a sell, so traders can sell this token and reinvest their profits in BTC trade.
The strategy has so far had 100% hit rate, with very low drawdown (0.01%), and high profit factor of 2176.
For access please contact me via DM on TradingView.
