Ketidakstabilan
ETHUSD_SuperTrend Strategy_CoinbaseETHUSD SuperTrend Strategy for COINBASE 1HR
This will allow for traders to better visuals entries and exits in a trending ETHUSD market on COINBASE
inwCoin Ultimate Grid StrategyinwCoin Ultimate Grid Strategy is the proof of concept of infamous grid trading strategy.
IDEA :
- The idea is to put the price level as a grids on the chart and when price cross up or cross down it will enter position.
- If the price move to next level it will take profit the last level and enter new position.
Caution :
- If market is trending into one direction, it's not wise to run this strategy counter trend. eg. run short grid when trend is up or run long grid when trend is down.
- So make sure you have something to define the big trend like Moving Average (18) TF weekly.
- I still can't try in range market ( sideway ) because this strategy using 5 min TF to work and tradingview don't provide data back that far.
How to use
1) Find out which start value of your asset that you want to use. Eg. BTC is 8000 for this time ( 22/2/2020 )
2) Define the spread of each grid as percent. ( eg. 2% for BTC ). You can choose small percent like 0.2% or 0.01 in asset like currency or altcoin/btc
3) The default grid level is 20 grids, so you can try and try again until you happy with the result.
4) This strategy is fix position size so it can easily calculate.
5) Don't forget to check "Properties" tab to try changing capital size and fee rate to match your criteria
6) This strategy is not perfect, it just some proof of concept to see if the strategy is working in real trade.
Extra :
If you want to access to alert for this strategy you can inbox me for detail.
BEST Engulfing + Breakout StrategyHello traders
This is a simple algorithm for a Tradingview strategy tracking a convergence of 2 unrelated indicators.
Convergence is the solution to my trading problems.
It's a puzzle with infinite possibilities and only a few working combinations.
Here's one that I like
- Engulfing pattern
- Price vs Moving average for detecting a breakout
Definition
Take out the notebooks :) and some coffee (good for focus). I'm bullish in coffee
The engulfing pattern is a two-candle reversal pattern.
The second candle completely ‘engulfs’ the real body of the first one, without regard to the length of the tail shadows.
The bullish Engulfing pattern appears in a downtrend and is a combination of one red candle followed by a larger green candle
The bearish Engulfing pattern appears in a downtrend and is a combination of one green candle followed by a larger red candle
Example: imgur.com
We're bored sir... what's the point of all this?
In summary, an engulfing is a pattern to track reversals. (the whole TradingView audience stands up now giving a standing ovation)
Adding the Price vs Moving average filters allows to track reversals with momentums (half of the audience collapsed because this is too awesome)
Ok sir... you picked up my interest
I included some cool backtest filters:
- date range filtering
- flexible take profit in USD value (plotted in blue)
- flexible stop loss in USD value (plotted in red)
All the best
Dave
Lowkey System (Strategy)View study version
A long-only strategy that aim to detect the beginning of new bullish trends and their ends.
For entering a new position this script is waiting for a moving average crossover then wait for a volume increase relative to the current volatility.
For closing a position it's simply waiting for a crossunder of whether the MA or if enabled the stop loss.
This strategy is already configured to run on BTCUSD in a 4h timeframe but you can customize the moving average and the stop loss parameters to suit your needs.
I've worked a lot to write this script so I'm not giving it for free but you can try it for 10 days.
Contact me for more details.
Have fun!
PS: I'm french so please excuse me if I've made some grammar errors ;)
[LunaOwl] 超級趨勢2 (SuperTrend2)It is very similar to the previous version. I changed the function from study to a strategy, and added the Average true range to RMA again.
I don't know the academic suitability, but using this strategy to trade the Altcoins market may have a good effect.
refer to Binance for 0.1% of fees, starting from Q4 2017.
跟以前的版本變化不大，我將腳本函數從"study"更改為"strategy"，然後將平均真實範圍再次用遞迴平均線均化數值。
不知道學術上的適不適合這麼做...但是，直到目前交易小幣現貨市場，效果還算不錯，用用看。
交易手續費參考幣安小幣，0.1%，從2017年第四季開始測。
Updated:
--1. use RMA to reduce ATR noise.
--2. for the highly volatile Altcions market, strategy should focus on reducing noise.
--3. the Street commonly used alpha filtering for Random Walk.
--4. compared to other MAs, the performance is not outstanding, but the advantage is stability.
--5. I choose the 4H time frame to test the Altcoins (ex: ETH).
稍做更新：
--1.平均真實區間利用了遞迴均線減少雜訊
--2.針對高波動率的小幣市場，中期順勢策略應該以減少雜訊為重點
--3.研究國外交易策略後，它們常用平滑因子過濾隨機走勢
--4.績效上和其它平均法比較並沒有突出，但優點是參數變動穩定性
--5.我選擇四小時線回測小幣市場，並且選擇經歷過牛熊市的以太坊
The purpose of publishing Chinese Scripts is to make Pine close to more Chinese user.
發布中文腳本的目的，是希望可以讓 Pine 親近更多中文圈的使用者。
[GM ELITE] Dynamic Introduction
This is the first of the GM ELITE indicator range. Designed for Algorithmic Traders looking to speed up their process of testing and optimizing their algorithm. This script contains an entire suite of indicators, that work together in unison to find optimal trade entries, based on NNFX rules. There are two versions of this script. One is a strategy and built in back-tester, and the other will update in real time designed for live trading and forward testing.
Entries/Exits
The System has 5 indicator slots, and the user can choose one indicator per slot
- Trend Confirmation Indicators to pick when the market has taken off
- Volume and volatility Indicators to determine the strength of the trend or whether tha market is ranging.
- Moving Averages for trend bias
- Exit Indicators to signal when to get out!
Money Management
Dynamic allows you to choose your Stop Loss and Take Profit distance based on a multiplier x ATR.
Options to exit the whole trade at TP or at a signal from the exit indicator of your choosing.
Start and End times (Window) to backtest.
Forex - $EVZ
Euro Volatility FX Vix (aka $EVZ) is built in. You can toggle a filter for low $EVZ or whether or not EVZ is above average. No signals will be given if EVZ is below threshold. EVZ is one of the best indicators of overall forex market volume and volatility.
Customization
Several visual and color customization options. Thousands of possible parameter combinations.
The "bias" or mode of the Confirmation Indicators appears at the top and bottom of the screen as horizontal rows of triangles.
For any two-line Indicator (eg MACD ) if the fast line is above the slow line, the triangles are green, other-wise, they are red.
For any "Level Cross" indicator, when the line is above the level, the triangles are green, otherwise, they are red.
The Arrows at the bottom of the screen determine whether or not there is sufficient volume
Out of the Box
The Indicators and parameters out of the box are chosen based on defaults. Please optimize for the market that you trade.My recommendation is to paper trade once you have found a combination of settings with good back-testing results, and have different settings for different markets, as not all markets behave in the same manner.
N.White_For_H4_TESTI use this Test version to determine price movement for a longer period, in the next versions Long / short signals will be added. Includes drawing support and resistance lines, Bollinger bands.
N.White_ScalpM15TestThis test version of the strategy is designed for scalping on the timeframe M15. It includes drawing support and resistance lines, a bollinger band.
N.White_ScalpM5TESTThis test version of the strategy is designed for scalping on the timeframe M5. It includes drawing support and resistance lines, a bollinger band.
Amrullah Deep Liquidity for S&P 500Amrullah Deep Liquidity (ADL)
Amrullah Deep Liquidity (ADL) is a high profit factor strategy based on models designed by Muhd Amrullah.
Choosing your trading pair that you are planning to backtest
Check that you have been given access to Amrullah Deep Liquidity (ADL). Select SPX500USD with the default 4H time frame. Once done, open Indicators > Invite-Only Scripts > Amrullah Deep Liquidity %.
Choosing your initial capital that you want to begin backtesting
Go to Settings > Properties > Initial Capital and type in the amount of capital you're starting with. For the SPX500USD trading pair, the initial capital is denominated in USD.
Adjusting your equity at risk until the trades match your risk profile and comfort level
Go to Inputs > Equity Risk and adjust the value you are comfortable with. To analyse performance, you also want to choose the Start Year, Start Month and Start Date. Select lower equity risk for trades that you intend to take without the use of leverage. You can select an equity risk from 0.001 to 0.05 or all the way to 1.
Finding the time frame with the highest profit factor
Profit factor is defined as the gross profit a strategy makes across a defined period of time divided by its gross loss. You may choose to scroll through other time frames to find better models. You can select a different time frame from 1 min to 1H or all the way to 1M. Once you find the model you desire, you are encouraged to check that the model has a backtested profit factor of >3.5. You can then begin looking through the Performance Summary to find other detailed statistics.
Analysing the equity curve from the Amrullah Deep Liquidity (ADL) strategy
A green equity curve indicates that the trades are accumulating profits. A red equity curve indicates that the trades are accumulating losses. A healthy equity curve is one that is green and grows steadily to the right and upward direction.
Analysing the display arrows on the chart
Amrullah Deep Liquidity (ADL) tells you when to take a trade and how much to put in a trade. ADL can do this as the model identifies inventory risk in traders and market makers in the chosen market. On your Tradingview chart, ADL will display an arrow that tells you when to enter a trade. You can also see the amount to trade beside the arrow.
Opting for a trial
Yes you may opt for a trial which has limited availability.
The author's background and experience
My career in software and deep learning development spans across more than 5 years. At work, I lead a team to solve core computer vision tasks for large companies. I continually read all kinds of computer science books and papers, and follows progress on tools used in financial markets.
Amrullah Deep Liquidity for ETHUSDAmrullah Deep Liquidity (ADL)
Amrullah Deep Liquidity (ADL) is a high profit factor strategy based on models designed by Muhd Amrullah.
Choosing your trading pair that you are planning to backtest
Check that you have been given access to Amrullah Deep Liquidity (ADL). Select ETHUSD with the default 4H time frame. Once done, open Indicators > Invite-Only Scripts > Amrullah Deep Liquidity %.
Choosing your initial capital that you want to begin backtesting
Go to Settings > Properties > Initial Capital and type in the amount of capital you're starting with. For the ETHUSD trading pair, the initial capital is denominated in USD.
Adjusting your equity at risk until the trades match your risk profile and comfort level
Go to Inputs > Equity Risk and adjust the value you are comfortable with. To analyse performance, you also want to choose the Start Year, Start Month and Start Date. Select lower equity risk for trades that you intend to take without the use of leverage. You can select an equity risk from 0.001 to 0.05 or all the way to 1.
Finding the time frame with the highest profit factor
Profit factor is defined as the gross profit a strategy makes across a defined period of time divided by its gross loss. You may choose to scroll through other time frames to find better models. You can select a different time frame from 1 min to 1H or all the way to 1M. Once you find the model you desire, you are encouraged to check that the model has a backtested profit factor of >3.5. You can then begin looking through the Performance Summary to find other detailed statistics.
Analysing the equity curve from the Amrullah Deep Liquidity (ADL) strategy
A green equity curve indicates that the trades are accumulating profits. A red equity curve indicates that the trades are accumulating losses. A healthy equity curve is one that is green and grows steadily to the right and upward direction.
Analysing the display arrows on the chart
Amrullah Deep Liquidity (ADL) tells you when to take a trade and how much to put in a trade. ADL can do this as the model identifies inventory risk in traders and market makers in the chosen market. On your Tradingview chart, ADL will display an arrow that tells you when to enter a trade. You can also see the amount to trade beside the arrow.
Opting for a trial
Yes you may opt for a trial which has limited availability.
The author's background and experience
My career in software and deep learning development spans across more than 5 years. At work, I lead a team to solve core computer vision tasks for large companies. I continually read all kinds of computer science books and papers, and follows progress on tools used in financial markets.
Amrullah Deep Liquidity for BTCUSDAmrullah Deep Liquidity (ADL)
Amrullah Deep Liquidity (ADL) is a high profit factor strategy based on models designed by Muhd Amrullah.
Choosing your trading pair that you are planning to backtest
Check that you have been given access to Amrullah Deep Liquidity (ADL). Select BTCUSD with the default 4H time frame. Once done, open Indicators > Invite-Only Scripts > Amrullah Deep Liquidity %.
Choosing your initial capital that you want to begin backtesting
Go to Settings > Properties > Initial Capital and type in the amount of capital you're starting with. For the BTCUSD trading pair, the initial capital is denominated in USD.
Adjusting your equity at risk until the trades match your risk profile and comfort level
Go to Inputs > Equity Risk and adjust the value you are comfortable with. To analyse performance, you also want to choose the Start Year, Start Month and Start Date. Select lower equity risk for trades that you intend to take without the use of leverage. You can select an equity risk from 0.001 to 0.05 or all the way to 1.
Finding the time frame with the highest profit factor
Profit factor is defined as the gross profit a strategy makes across a defined period of time divided by its gross loss. You may choose to scroll through other time frames to find better models. You can select a different time frame from 1 min to 1H or all the way to 1M. Once you find the model you desire, you are encouraged to check that the model has a backtested profit factor of >3.5. You can then begin looking through the Performance Summary to find other detailed statistics.
Analysing the equity curve from the Amrullah Deep Liquidity (ADL) strategy
A green equity curve indicates that the trades are accumulating profits. A red equity curve indicates that the trades are accumulating losses. A healthy equity curve is one that is green and grows steadily to the right and upward direction.
Analysing the display arrows on the chart
Amrullah Deep Liquidity (ADL) tells you when to take a trade and how much to put in a trade. ADL can do this as the model identifies inventory risk in traders and market makers in the chosen market. On your Tradingview chart, ADL will display an arrow that tells you when to enter a trade. You can also see the amount to trade beside the arrow.
Opting for a trial
Yes you may opt for a trial which has limited availability.
The author's background and experience
My career in software and deep learning development spans across more than 5 years. At work, I lead a team to solve core computer vision tasks for large companies. I continually read all kinds of computer science books and papers, and follows progress on tools used in financial markets.
Amrullah Deep Liquidity for ETHBTCAmrullah Deep Liquidity (ADL)
Amrullah Deep Liquidity (ADL) is a high profit factor strategy based on models designed by Muhd Amrullah.
Choosing your trading pair that you are planning to backtest
Check that you have been given access to Amrullah Deep Liquidity (ADL). Select ETHBTC with the default 2H time frame. Once done, open Indicators > Invite-Only Scripts > Amrullah Deep Liquidity %.
Choosing your initial capital that you want to begin backtesting
Go to Settings > Properties > Initial Capital and type in the amount of capital you're starting with. For the ETHBTC trading pair, the initial capital is denominated in BTC.
Adjusting your equity at risk until the trades match your risk profile and comfort level
Go to Inputs > Equity Risk and adjust the value you are comfortable with. To analyse performance, you also want to choose the Start Year, Start Month and Start Date. Select lower equity risk for trades that you intend to take without the use of leverage. You can select an equity risk from 0.001 to 0.05 or all the way to 1.
Finding the time frame with the highest profit factor
Profit factor is defined as the gross profit a strategy makes across a defined period of time divided by its gross loss. You may choose to scroll through other time frames to find better models. You can select a different time frame from 1 min to 1H or all the way to 1M. Once you find the model you desire, you are encouraged to check that the model has a backtested profit factor of >3.5. You can then begin looking through the Performance Summary to find other detailed statistics.
Analysing the equity curve from the Amrullah Deep Liquidity (ADL) strategy
A green equity curve indicates that the trades are accumulating profits. A red equity curve indicates that the trades are accumulating losses. A healthy equity curve is one that is green and grows steadily to the right and upward direction.
Analysing the display arrows on the chart
Amrullah Deep Liquidity (ADL) tells you when to take a trade and how much to put in a trade. ADL can do this as the model identifies inventory risk in traders and market makers in the chosen market. On your Tradingview chart, ADL will display an arrow that tells you when to enter a trade. You can also see the amount to trade beside the arrow.
Opting for a trial
Yes you may opt for a trial which has limited availability.
The author's background and experience
My career in software and deep learning development spans across more than 5 years. At work, I lead a team to solve core computer vision tasks for large companies. I continually read all kinds of computer science books and papers, and follows progress on tools used in financial markets.
