Aggregated Funding RateThis funding rate indicator combines data from two of the largest cryptocurrency exchanges, BitMex and Binance, and supports USD, USDT, and BUSD currency pairs. Moreover, it covers a wide range of 31 different crypto assets to choose from, providing users with a comprehensive view of the funding rate for each asset.
The aggregation is formed by calculating the funding rate of the cryptocurrency for each perpetual chart respectively (Binance - USDT & BUSD and BitMex - USDT & USD). The calculation itself is based on each exchange's official formula, hence the reasoning behind including only 4 sources, they are currently the only ones which can be calculated this way in Tradingview.
Afterwards, it is either summed or averaged based on the user input. Additionaly, the user may choose freely which of the four sources will be included.
What is Funding Rate ?
The funding rate is the cost of holding a cryptocurrency position on a futures exchange. It is essentially an interest rate paid by the long or short position holder to the counterparty. If the funding rate is positive, longs pay shorts, and if it is negative, shorts pay longs. This rate is adjusted periodically, typically every eight hours, to ensure that the futures price of the cryptocurrency remains close to its spot price.
Utility :
The funding rate indicator can be used in a variety of ways. Traders can use it to gauge the sentiment of the market. If the funding rate is consistently positive, it suggests that there is more demand for long positions than short positions, indicating that the market is bullish. On the other hand, if the funding rate is consistently negative, it suggests that there is more demand for short positions than long positions, indicating that the market is bearish.
In addition, the funding rate indicator can be used to identify potential trading opportunities. If the funding rate is significantly higher than usual, it may indicate that longs are overpaying shorts, creating a potential arbitrage opportunity. Alternatively, if the funding rate is significantly lower than usual, it may indicate that shorts are overpaying longs, creating a potential arbitrage opportunity in the opposite direction.
Key Features
Aggregation type
31 supported cryptocurrencies
Simple or Depth style options
Sources to aggregate
Bitmex
mex_fundingScript for calculating Bitmex funding based on the Premium tickers Bitmex submits to Tradingview
Make sure you add the correct Bitmex Interest Base and Quote Symbols in the input settings
For example for www.bitmex.com the inputs are:
Chart ticker: XBTUSDPI8H
Input Settings
Interest Base: XBTBON8H
Interest Quote: USDBON8H
WhaleCrew Crypto Open InterestUse Crypto Open Interest Data available on TradingView to your advantage.
Features
Auto-Detect Symbol (based on chart)
Preset Symbols (BTC, ETH, BNB, XRP, LUNA, ADA, SOL, AVAX and DOT)
Exchanges ( Binance and BitMex )
Inverse and USDT Pairs
Override Data Option to use any OI Data on TradingView
Customizable Candles
Spot VS Derivatives (BTC)This indicator shows you the difference between the price on the spot exchanges and the derivatives exchanges. When the ratio spikes upward, it is a good buying opportunity, and when it spikes downward, it is a good moment to sell. The best timeframe for this indicator is 4h. The calculation includes top 10 spot and derivatives exchanges by volume .
Spot & Derivatives BasisThis indicator allows you to track the basis between Spot and Futures trading.
This metric is great for showing when sellers have run out.
Exchanges:
Coinbase
Binance
Bitfinex
Okex
Bybit
Bitmex
Binance Futures
Okex Futures
FTX
hamster-bot HD preset_2presets for users
// DESCRIPTION OF STRATEGY ver. 2
HiDeep Strategy
Author foresterufa
This is a counter-trend strategy that is gradually gaining a position against the trend at the best price.
A prerequisite for completing a position is the price exit from the internal channel on the chart and the appearance of the HiDeep indicator.
The condition for closing the position is touching the opposite side of the internal channel.
A condition for facilitating closure along the middle line of the channel, with high price volatility , is that the price touches the border of the external channel.
Input signals are generated by HiDeep indicators. Closing a position by moving averages.
Bitmex BTC Perpetual PremiumThis script tracks the premium of the Bitcoin Perpetual futures at Bimex exchange relative to 3 different reference prices.
The difference between this script and already published scripts is that it tracks the premium relative to 3 different reference prices. This tends to produce slightly different results.
This script is also open source, so you can verify the calculations, or use it as a basis for your own script.
The 3 plots uses the following reference prices:
Blue Area:
Bitmex Index price, ticker: BITMEX:XBT
Red line:
Bitmex Perpetual Premium, ticker XBTUSDPI
(This one is not used as reference, but simply plots the ticker*100)
Orange line:
The reference here is a price calculated by the tickers in trading view based on the Bitmex indices with weighing as follows:
Bitstamp:28,81%
Bittrex:5,5%
Coinbase: 38,07%
Gemini: 7,34%
Kraken: 20,28
Please note that Bitmex changes the bases of its indices regularly. Bitmex might also "rule out" on of these exchanges if there is a short term problem.
FTX vs BitMex BTC Perp PremiumThis script compares FTX BTC/PERP (BTC perpetual futures contract) price to Binance BTC/USDT spot and colors it red. It also plots Bitmex's BTC perpetual futures compared to Binance spot and colors it blue.
FTX = red
Bitmex = blue
Now you can easily see that you can get a 1% discount on FTX perpetuals when it is tanking. This tells you that you can set your limit buy orders extra low if you like to catch crashes. Also, you can see what your average trader on each platform is willing to pay above or below the spot premium. In general you want to do the opposite of what the average trading is doing on these exchanges unless you're in the main bull or mania phase of the Bitcoin cycle.
If you want to use Bitstamp or your favorite exchange it can be changed in the settings. Let me know if you find any settings that work well for you.
May you profit and enjoy! :)
Weighted derivatives premium BTCCan be extended with more derivative or spot pairs, see the comments in the code for instructions. Most importantly, the pairs need to be added to the respective arrays in the same order, so that the weights are applied to the correct pairs.
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
TFi Pivot Reversal V3The Pivot Reversal Study uses pivot points to create a support and resistance level; based on this levels the script creates virtual stop-market orders to catch the trend if the price is crossing the pivot lines.
A "Pyramiding" input allows to configure up to 3 entries; the script enters an additional position if the price falls by a configurable percentage amount (long), the reverse to short orders.
A configurable profit-target and stop-loss is being used to exit an open position.
An optional Moving Average filter can be used to enable only long or short positions.
The script renders a status box at the last bar, which shows the current position status and result of the built-in trading simulation results.
It shows the following statistic values:
current position PnL - also background turns green if position is in profit and red if in loss
the percentage distance to the profit-target and stop-loss level
the overall number of wins and losses and the win/loss ratio
the overall profit and loss amount (assuming a quantity of 1)
the net-profit and profit-ratio
For the correct simulation of entry/exit prices, the script contains inputs for a percentage entry and exit slippage.
The study also creates configurable alerts, which follow the exact position of the entry/exit markers. The default alert messages contain trading instruction to execute orders via Alertatron; but the message content can be replaced if configuring the alert in the Tradingview environment.
The script was mainly backtested with crypto-coins, e.g. XBTUSD at 15min timeframe. But the script also works with any other type of security and timeframe.
How to access
This strategy is a "Invite Only" script. You can can subscribe or purchase the strategy; please use the link below or send me a message via Tradingview to obtain access to the strategy and study script.
For enabling the script in your Tradingview chart window, click on "Indicators" and select "Invite-Only Scripts".
Full list of alerts
'Alertatron Exit' ... Exit all open positions.
'Alertatron Enter Long' ... Enter long position, w/o stop-loss being used.
'Alertatron Enter Short' ... Enter short position, w/o stop-loss being used.
'Alertatron Enter Long SL' ... Enter long position, w/ stop-loss being used.
'Alertatron Enter Short SL' ... Enter short position, w/ stop-loss being used.
Full list of parameters
"Pivot Left Bars" ... Number of bars on the left of the pivot point - used for pivot /peak detection.
"Pivot Right Bars" ... Number of bars on the right of the pivot point - used for pivot /peak detection.
"MA Filter Fast" ... Moving Average filter fast period.
"MA Filter Slow" ... Moving Average filter slow period.
"Profit Target Option" ... Configure the profit-target either as a fix percentage value or an ATR.
"Profit Target " ... Fix percentage profit-target.
"Profit ATR Period" ... ATR profit-target period.
"Profit ATR Factor" ... ATR profit-target factor/multiplier.
"Stop Loss Option" ... Configure the stop-loss either as a fix percentage value or disable the stop-loss completely.
"Stop Loss " ... Fix percentage stop-loss.
"Rebuy Loss " ... Percentage loss of the initial position before script enter a nw position in the same direction.
"Pyramiding" ... Maximum number of positions.
"Show MA Plots" ... Show/hide Moving average plots.
"Slippage Entry " ... Percentage slippage for entering a position.
"Slippage Exit " ... Percentage slippage for exiting a position.
"Statistic Label" ... Defines the position of the statistic label relatively to the last bar in the chart.
"Backtest Start" ... Backtest start time; area outside this timeframe will be grayed out.
"Backtest Stop" ... Backtest stop time; area outside this timeframe will be grayed out.
"Backtest Mode" ... Closes the currently opened position if chart switches to last bar; please only enable if backtesting, otherwise it leads to unwanted alerts.
Prophetic BUY SELL IndicatorThis premium indicator will help you to do quick scalping on Cryptocurrencies, Forex, and Stocks.
This indicator is very simple to understand.
Green BUY Alert - Buy Signal Market is up
Red SELL Alert - Sell Signal Market is down
Caution:- Do not use it during market being choppy or sideways
Once the BUY signal appears the background changes green and same with SELL it turns red
can change the color according to requirements
It also has a moving average which also changes the color as the candles close above the MA or the below Default color are green and red
Please Like Share and Follow and if required please contact:- @mobudd (TELEGRAM)
or Ping me on trading view
Guys, It takes effort so please do not ask for free access.
You're always welcome to share any type of suggestion & feedback.
cosmic scalperCosmic Scalper is an intuitive & exotic trading engine, designed to Identify Trend, visually highlight our “Zone of Interest” & plot entry lines at its base, like a barcode, providing critical information to the trader’s mind in a clean, elegant way without cluttering the chart.
Components Of Script :
1. Trend Support Cloud : Based on Fibonacci ratio, the cloud has 3 layers or bands.
2. Entry Engine : The last band of the cloud gets highlighted when we enter “Zone of Interest” & vertical lines appear indicating possible entry points. Together this forms a trend fingerprint.
Mechanism Of Action :
1. Identify trend : The script observers multiple parameters on higher timeframes to identify trend & plots the fibonacci based 3 layer trend support cloud. The script will indicate a change of trend when the last band is breached & sustained.
2. Zone Of Interest : Once a trend is identified, we are looking for entries. But we wait for the other side to get exhausted first. When exhaustion is identified, the last band of the cloud gets highlighted. This “exhaustion” is measured using bespoke datasets created within the protocol. Conventional datasets like RSI, VWAP, MACD etc are only used as secondary or tertiary layer of information.
3. Entries : Once we have entered the highlighted ‘Zone of Interest’ the script will offer entry points represented by vertical lines in the last band, this Highlight + Vertical Lines together forms the trend fingerprint, giving traders crucial visual information to make informed decisions.
How to use :
1. Make a Higher Timeframe Analysis, 4hr, 6hr or Daily timeframe. Use TA or Bollinger Bands.
2. Once you have an informed bias, switch to the Cosmic Scalper on 1min timeframe to take position.
3. Target, Stop, Leverage : at user discretion
Have Questions? Feel free to PM me on TradingView
Sharp Shooter - by FiatDropoutThis is an experimental script and is intended to be used only on LTF charts for scalping. It may or may not be useful on other charts and time frame, but that is subject to back testing.
Now, coming back to this script. It has multiple features yet i tried to keep it as clean in representation as possible.
As obvious, few things are easily recognizable on chart, such as:
BUY - Go LONG
STRONG BUY - Heavy Uptrend is expected, Go LONG
SELL - Go SHORT
STRONG SHORT - Heavy Downtrend is expected, Go SHORT.
on addition to above signals, there are few other plot-shapes, which are:
Red Circle - Acts as TP for LONG during uptrend and acts as Add-On SHORT during downtrend
Green Circle - Acts as TP for SHORT during downtrend and acts as Add-on LONG during uptrend.
Red Background - Bearish Peak, potential start of downtrend
Blue Background - Bullish Peak, potential start of uptrend
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Now that plots are over, lets go to how to use them. As name of this script suggests, it intends to find most optimal entry and exit for long and short while taking profit on the way and adding to the position until trend changes.
Be aware that trend here is very much based on current time-frame and does not represent other time-frame's bias. Also, trend here is intended to be used as a scalp trend and not a swing trend.
Now once, you get a signal for BUY(example), then wait for "Bullish Peak"(blue background) to appear with either "STRONG BUY" or just "BUY" and take an entry at respective price, next look for "red circle" which acts as TP for long(refer sec, above) and either move stop to entry, or take partial profits or close position entirely.
Now every subsequent "green circle" will act as add-on for long and every "red circle" will act as TP for long, until "Bearish Peak" appears, which will reverse the order of how circles are used and direction of the trade. Now during "Bearish Peak" and until "Bullish Peak" appears, "red circle" will act as add-on for short and "green circle" will act as TP for short.
It might take some time to adjust to the plots, but i have decided to keep it that way in order to keep chart clean of too many signals.
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NOTE : Please use stops and be sure to place orders quickly as prices move faster on minute charts and you should be able to place orders and stop right away, so if you are new to trading and are currently in early stage of the business, scalping is strongly not advised, let alone this indicator. Also, past performance are not guarantee of future results and most importantly, this indicator does not repaint. By using this indicator, you accept that i am not responsible for any losses or gains made by user by trading with help of this bot.
Also, in next update, i will fix some bug, add some SS and also add alerts. Alerts are not being added currently because of high volatile nature of the bot signals which if tried on automation can give varied results. Once everything is set, i shall add alerts.
for any other queries, feel free to get back here on chat or DM.
RSI + MFI - Crypto Bull and Bear market A fancy styled version of the RSI (Relative Stochastic Index) + MFI (Money Flow Index) oscillators in order to emphasize buy and sell opportunities.
The 80 and 20 Bands are meant to be used in Bull or Bear markets. Better performing in D timeframes.
The circles represent the cross between RSI and MFI .
Designed for Crypto Markets
Thanks @micheleprandina
Credits:
Channel Break [for free bot]I present to you a script for testing the channel breakout strategy for the Bitmex exchange.
Cryptocurrency itself is a trending tool, which is why breakout strategies generate the largest profits, and the channel breakout strategy is one of the most effective trend strategies.
The optimization result shows the result of trading on a volume of 20% of the deposit. But since Bitmex trades in futures contracts, you can use 50%, 100% and even much more, depending on your attitude to risk.
At the time of publication on the Bitmex exchange there are 12 different contracts, i.e. You can diversify your trading well (by pre-optimizing the settings for each contract).
In the script, you can set up many trading options - timeframe, periods for buying and selling, method of exiting a trade, stop loss, take profit, risk management, etc.
Thus, you create a strategy "for yourself".
Представляю Вам скрипт для тестирования стратегии пробоя канала для биржи Битмекс.
Криптовалюта, сама по себе является трендовым инструментом, именно поэтому, пробойные стратегии генерируют самую большую прибыль, а стратегия пробоя канала – является одной из самых эффективных трендовых стратегий.
На результате оптимизации показан результат торговли на объеме в 20% от депозита. Но так как на Битмекс торговля идет фьючерсными контрактами, Вы можете использовать 50%, 100% и даже намного больше, в зависимости от Вашего отношения к риску.
На момент публикации на бирже Битмекс есть 12 разных контрактов, т.е. Вы можете хороши диверсифицировать свою торговлю (предварительно оптимизируя настройки по каждый контракт).
В скрипте Вы можете настроить множество вариантов торговли - таймфрейм, периоды для покупки и продажи, метод выхода из сделки, стоп-лосс, тейк-профит, рискменеджмент и т.п.
Таким образом Вы создаете стратегию "под себя".
Btc Short StrategyBINANCE:BTCUSDTPERP
Developed for the btc perpetual future contract on Binance Futures .
How to Use:
It's based on a complex strategy for short positions that involves volume analysis, trend analysis, moving averages, supports and resistances and more.
Concretely this indicator opens a short position when there is a bearish trend and a breakout of a support zone and uses fear and volatility to take an edge on the market.
It runs on the 5 min chart for the entry , and it analyses higher timeframes.
It opens and close sell positions and automatically draws SL and TP. The R/R is 1:1.
It's possible to enable alerts of the strategy in order to be notified whenever the indicator opens or closes a position . You can use it in addiction of your strategy or for educational purposes .
(This indicator will be updated when/if there will be a change in the bias of the market)
Access must be given by me to test this. Once access given you can test.
PM me or use the links below to obtain access to this indicator.
Backtesting Results:
Initial Capital= 10000
Order Size= 3 contracts (max loss 2.15% of the capital)
Commission= 0.075% (same of VIP0 of binance)
Slippage=10 ticks
Reviews and Feedback are welcome.
Refer the Release notes for any updates and my posts below and in my idea page for more details.
Report any issues or ideas to me, I'll fix them !
Thank you !
DISCLAIMER:
All trading involves high risk: past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact , if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Otho - Beating high-leverage crypto marketsThis strategy was born as a result of our newest research on Ethereum market specifics. Ethereum is much more complicated, risky to trade, but high rewarding market if you crack it down. And we have some results to show!
Same as our latest strategies Otho has take profits on heavy overbought/oversold areas and:
— No repainting
— No “security” function, so this strategy fully works on given timeframe
— No waiting for bigger candle close
------- Modelling high-leverage trading in detail -------
High-leverage trading
High leverage was in mind when we were designing this strategy. In short, if we use real margin of 1.5% on Bitmex that equals real leverage of 67. Real leverage means that is no subsidy payment for the Bitmex insurance fund of exchange. Putting it simple, our stop loss is 1.5% below entry price for longs. That gives us an opportunity to trade position size that is about x3 of our initial capital when actually risking 5% percent of equity. We can also fine-tune our risk appetite, so risking 2% of equity with 1.5% stop loss gives us about x1.2 on our initial capital, and risking 2% of equity with 3% stop loss gives us tradable position of 60% of our capital. Credits for this system going to Antiliqudation tool.
Backtest
We're trying to make backtest modes as realistic as we can, so there is leverage modelling:
— Initial capital: 264 USD. That means we put the price of 1 ETH in the beginning of testing.
— Fixed order size of 2.6 ETH per position. That means we're using 4% of equity per trade.
— We have more than 1000 orders. It is hard to monitor them 24/7 so automation is good thing to use.
Automation
— Commission of 0 is real in implementation, as some exchanges pays you -0.025% (negative) market maker commission. Automated order execution is necessary for zero commission, and a special type of order that tries to enter a position with a limit order that is constantly adjusted to be at the front of the order book is needed. So automation tools calls it “aggressive” order. Please look for ways of automation listed on Pine Coders site.
— Slippage can be set in “aggressive” orders, here in backtests default is zero.
There are lot more details about algotrading and leverage nuances, feel free to contact and ask for anything.
Use the link under backtesting results block to obtain access to this strategy!
Aulus - Smoothing Profit Curve on Bitcoin TradingAulus is our new strategy made with the idea of smoothing profit curve. With leverage trading some strategies can leave you with heavy drawdowns, and even if final profit looks good, this drawdown periods can be exhausting. So in our research we've focused on maximum profits, minimum possible drawdowns and most importantly, profit curve smoothing.
Same as our latest strategy Aurelius, Aulus has more helpers for real trading, such as:
— Getting onboard on pullbacks and
— Take profits on heavy overbought/oversold spots
And as always:
— No repainting
— No “security” function, so this strategy fully works on given timeframe
— No waiting for bigger candle close
------- Modelling high-leverage trading in detail -------
High-leverage trading
High leverage was in mind when we were designing this strategy. In short, if we use real margin of 1.5% on Bitmex that equals real leverage of 67. Real leverage means that is no subsidy payment for the Bitmex insurance fund of exchange. Putting it simple, our stop loss is 1.5% below entry price for longs. That gives us an opportunity to trade position size that is about x3 of our initial capital when actually risking 5% percent of equity. We can also fine-tune our risk appetite, so risking 2% of equity with 1.5% stop loss gives us about x1.2 on our initial capital, and risking 2% of equity with 3% stop loss gives us tradable position of 60% of our capital. Credits for this system going to Antiliqudation tool.
Backtest
We're trying to make backtest modes as realistic as we can, so there is leverage modelling:
— Initial capital: 9 822 USD. That means we put the price of 1 BTC in the beginning of testing.
— Fixed order size of 2.6 BTC per position. That means we're using 4% of equity per trade.
— We have more than 1000 orders. It is hard to monitor them 24/7 so automation is good thing to use.
Automation
— Commission of 0 is real in implementation, as some exchanges pays you -0.025% (negative) market maker commission. Automated order execution is necessary for zero commission, and a special type of order that tries to enter a position with a limit order that is constantly adjusted to be at the front of the order book is needed. So automation tools calls it “aggressive” order. Please look for ways of automation listed on Pine Coders site.
— Slippage can be set in “aggressive” orders, here in backtests default is zero.
There are lot more details about algotrading and leverage nuances, feel free to contact and ask for anything.
Use the link under backtesting results block to obtain access to this strategy!
HFT Scalper BacktesterThis strategy is a scalper strategy developed by HFT Research. Scalper is highly customizable and provides endless opportunities to find profitable setups in the market.
Use Bollinger Bands
This piece of the settings will turn and off Bollinger band’s input in the decision making. BB Length will determine the Moving average you are using to take the standard deviation off of which is named as BB Multiplier. Default settings will use 20 moving average and take standard deviation of 2 to create lower and upper bands. Increasing the Multiplier will give you fewer but safer entries.
Use Bollinger Bands %
This setting will allow the user to determine at what Bollinger band width %, he wants to take start looking to take trades. It is known that when prices are stable and moving sideways, Bollinger bands contract and it becomes more reactive to small moves in the market. Using this setting, you can ignore the signals that would be generated while Bollinger bands are contracted. This setting will allow the user to weed out the noise in the market and really allow them to make the most out of Bollinger bands .
Use RSI
You can also turn on and off the RSI as well. Alternatively, there is an option to use RSI on a different time frame than you are currently on. For example, if you are looking at the 5min chart to use Bollinger bands but you would like to look at the RSI value on the 15min chart. You can do so by selecting the custom RSI timeframe as well as adjusting the Oversold and Overbought value.
Use STOCH
For those who want extra protection on their entry can throw STOCH into their decision making. STOCH acts like RSI but it is more prone to small moves. It will help the users to get a better entry if used correctly. Stoch may not be in the buy zone when RSI is at say 35, however, if price dips a little more and STOCH might be in the buy zone when RSI is at say 20. This way it will help you have better entries than just using RSI . In a way, you can use STOCH to scalp RSI .
Use VWAP
VWAP stands for volume weighted average price . It is an extremely useful indicator when trading intra-day. It does reset every trading session which is at 00:00 UTC . Instead of looking at x number of candles and providing an average price, it will take into consideration volume that’s traded at a certain price and weigh it accordingly.
Use ADX
ADX stands for average directional index . It is an indicator that measures volatility in the market. Unfortunately, the worst market condition for this strategy is sideways market. ADX becomes a useful tool since it can detect trend. If the volatility is low and there is no real price movement, ADX will pick that up and will not let you get in trades during a sideways market. It will allow you to enter trades only when the market is trending.
Use MA Filters
Lookback: It is an option to look back x number of candles to validate the price crossing. If the market is choppy and the price keeps crossing up and down the moving average you have chosen, it will generate a lot of “noisy” signals. This option allows you to confirm the cross by selecting how many candles the price needs to stay above or below the moving average. Setting it 0 will turn it off.
MA Filter Type: There is a selection of moving averages that is available on TradingView currently. You can choose from 14 different moving average types to detect the trend as accurate as possible.
Filter Length: You can select the length of your moving average. Most commonly used length being 50,100 and 200.
Filter Type: This is our propriety smoothing method in order to make the moving averages lag less and influence the way they are calculated slightly. Type 1 being the normal calculation and type 2 being the secret sauce .
Reverse MA Filter: This option allows you to use the moving average in reverse. For example, the strategy will go long when the price is above the moving average. However, if you use the reserve MA Filter, you will go short when the price is above the moving average. This method works best in sideways market where price usually retraces back to the moving average. So in an anticipation of price reverting back to the moving average, it is a useful piece of option to use during sideway markets which is the worst market condition for scalper.
Please visit our website for more information
Quickie (Free) BacktesterQuickie is a free tradingview Indicator developed by HFT Research. It works in sideways and trending markets depending the way you set it as well as both on short time frame and long time frame. It comes with backtesting abilities on tradingview.
BITMEX:XBTUSD
Use Bollinger Bands
This piece of the settings will turn and off Bollinger band’s input in the decision making. BB Length will determine the Moving average you are using to take the standard deviation off of which is named as BB Multiplier. Default settings will use 20 moving average and take standard deviation of 2 to create lower and upper bands. Increasing the Multiplier will give you fewer but safer entries
Use RSI
You can also turn on and off the RSI as well. Alternatively, there is an option to use RSI on a different time frame than you are currently on. For example, if you are looking at the 5min chart to use Bollinger bands but you would like to look at the RSI value on the 15min chart. You can do so by selecting the custom RSI timeframe as well as adjusting the Oversold and Overbought value.
Use MA Filter
Lookback: The indicator has an option to look back x number of candles to validate the price crossing. If the market is choppy and the price keeps crossing up and down the moving average you have chosen, it will generate a lot of “noisy” signals. This option allows you to confirm the cross by selecting how many candles the price needs to stay above or below the moving average. Setting it 0 will turn it off.
MA Filter Type: There is a selection of moving averages that is available on TradingView currently. You can choose from 14 different moving average types to detect the trend as accurate as possible.
Filter Length: You can select the length of your moving average. Most commonly used length being 50,100 and 200.
Filter Type: This is our propriety smoothing method in order to make the moving averages lag less and influence the way they are calculated slightly. Type 1 being the normal calculation and type 2 being the secret sauce.
Reverse MA Filter: This option allows you to use the moving average in reverse. For example, the strategy will go long when the price is above the moving average. However, if you use the reserve MA Filter, you will go short when the price is above the moving average. This method works best in sideways market where price usually retraces back to the moving average. So, in an anticipation of price reverting back to the moving average, it is a useful piece of option to use during sideway markets.
For more information please check out our website
Aurelius - How to make profit with high-leverage trading and TPAurelius is our latest strategy fully oriented to be realized as much similar to backtests as possible. To achieve this, we are not only coded several trend-detection instruments, filters, and bands but also two game-changing features.
1. Getting onboard on pullbacks. For real trading that means filling your order on time with limit orders so, you got non-obvious for majority but importat real-trading advantages:
— zero or negative commission
— filling lager position more easily
— not chasing the price going up/down
— more distance from entry and exit means more profits
2. This strategy has nice small greed and fear spotting feature. So based on this we made take profits for technical tops/bottoms. Also, you can tune up your risk/drawdown appetite, so when you choose to sell 1% of position every take profit signal, you'll have more profit potential if price goes up more. Similarly, if you choose to sell 75% of current position (e.g. in flat markets) you'll get nice relatively small drawdown numbers.
And as always:
— No repainting
— No “security” function, so this strategy fully works on given timeframe
— No waiting for bigger candle close
--------- Modelling high-leverage trading in detail
High-leverage trading
High leverage was in mind when we were designing this strategy. In short, if we use real margin of 1.5% on Bitmex that equals real leverage of 67. Real leverage means that is no subsidy payment for the Bitmex insurance fund of exchange. Putting it simple, our stop loss is 1.5% below entry price for longs. That gives us an opportunity to trade position size that is about x3 of our initial capital when actually risking 5% percent of equity. We can also fine-tune our risk appetite, so risking 2% of equity with 1.5% stop loss gives us about x1.2 on our initial capital, and risking 2% of equity with 3% stop loss gives us tradable position of 60% of our capital. Credits for this system going to Antiliqudation tool.
Backtest
We're trying to make backtest modes as realistic as we can, so there is leverage modelling:
— Initial capital: 9345 USD. That means we put the price of 1 BTC in the beginning of testing.
— Fixed order size of 2.6 BTC per position. That means we're using 4% of equity per trade.
— We have more than 1000 orders. It is hard to monitor them 24/7 so automation is good thing to use.
Automation
— Commission of 0 is real in implementation, as some exchanges pays you -0.025% (negative) market maker commission. Automated order execution is necessary for zero commission, and a special type of order that tries to enter a position with a limit order that is constantly adjusted to be at the front of the order book is needed. So automation tools calls it “aggressive” order. Please look for ways of automation listed on Pine Coders site.
— Slippage can be set in “aggressive” orders, here in backtests default is zero.
There are lot more details about algotrading and leverage nuances, feel free to contact and ask for anything.
Use the link under backtesting results block to obtain access to this strategy!
Constantius - Profitable trend analysis - Margin tradingConstantius is our new trend-following strategy based on trend and momentum detection. Best working on liquid cryptos, here is the ETH-based example.
Strategy has lot of parameters hard-coded, this makes strategy tuning simple with only two parameters remaining.
About strategy:
— No repainting
— No “security” function, so this strategy fully works on given timeframe
— No waiting for bigger candle close
Fun fact: Constantius is steadly profitable since 8 USD per ETH, check by yourself!
About high-leverage trading and reality check of backtest results:
High leverage was in mind when we were designing this strategy. In short, if we use real margin of 1.5% on Bitmex that equals real leverage of 67. Real leverage means that is no subsidy payment for the Bitmex insurance fund of exchange. Putting it simple, our stop loss is 1.5% below entry price for longs. That gives us an opportunity to trade position size that is about x3 of our initial capital when actually risking 5% percent of equity. We can also fine-tune our risk appetite, so risking 2% of equity with 1.5% stop loss gives us about x1.2 on our initial capital, and risking 2% of equity with 3% stop loss gives us tradable position of 60% of our capital. Credits for this system going to Antiliqudation tool.
We're trying to make backtest modes as realistic as we can, so there is leverage modelling:
— Initial capital: 130 USD. That means we put the price of 1 ETH in the beginning of testing.
— Fixed order size of 2.6 ETH per position. That means we're using 4% of equity per trade.
— We have more than 1000 orders. It is hard to monitor them 24/7 so automation is good thing to use.
— Commission of 0 is real in implementation, as some exchanges pays you -0.025% (negative) market maker commission. Automated order execution is necessary for zero commission, and a special type of order that tries to enter a position with a limit order that is constantly adjusted to be at the front of the order book is needed. So automation tools calls it “aggressive” order. Please look for ways of automation listed on Pine Coders site.
— Slippage can be set in “aggressive” orders, here in backtests default is zero.
There are lot more details about algotrading and leverage nuances, feel free to contact and ask for anything.
Use the link under backtesting results block to obtain access to this strategy!