Fast v Slow Moving Averages Strategy (Variable) [divonn1994]This is a simple moving average based strategy that takes 2 moving averages, a Fast and a Slow one, plots them both, and then decides to enter a 'long' position or exit it based on whether the two lines have crossed each other. It goes 'long when the Fast Moving Average crosses above the Slow Moving Average. This could indicate upwards momentum in prices in the future. It then exits the position when the the Fast Moving Average crosses back below. This could indicate downwards momentum in prices in the future. This is only speculative, though, but sometimes it can be a very good indicator/strategy to predict future action.
I've tried some strategy settings and I found different promising strategies. Here are a few:
BTCUSD ( BitStamp ) 1 Day Timeframe : EMA, Fast length 25 bars, Slow length 62 bars => 28,792x net profit (default)
BTCUSD ( BitStamp ) 1 Day Timeframe : VWMA, Fast length 21 bars, Slow length 60 bars => 15,603x net profit
BTCUSD ( BitStamp ) 1 Day Timeframe : SMA, Fast length 18 bars, Slow length 51 bars => 19,507x net profit
BTCUSD ( BitStamp ) 1 Day Timeframe : RMA, Fast length 20 bars, Slow length 52 bars => 5,729x net profit
BTCUSD ( BitStamp ) 1 Day Timeframe : WMA, Fast length 29 bars, Slow length 60 bars => 19,869x net profit
Features:
-You can choose your preferred moving average: SMA , EMA , WMA , RMA & VWMA .
-You can change the length average for each moving average
-I made the background color Green when you're currently in a long position and Red when not. I made it so you can see when you'd be actively in a trade or not. The Red and Green background colors can be toggled on/off in order to see other indicators more clearly overlayed in the chart, or if you prefer a cleaner look on your charts.
-I also have a plot of the Fast moving average and Slow moving average together. The Opening moving average is Purple, the Closing moving average is White. White on top is a sign of a potential upswing and purple on top is a sign of a potential downswing. I've made this also able to be toggled on/off.
Let me know if you think I should change anything with my script, I'm always open to constructive criticism so feel free to comment below :)
1-BTCUSD
Trade HourThis script is just finds the best hour to buy and sell hour in a day by checking chart movements in past
For example if the red line is on the 0.63 on BTC/USDT chart it mean the start of 12AM hour on a day is the best hour to buy (all based on
It's just for 1 hour time-frame but you can test it on other charts.
IMPORTANT: You can change time Zone in strategy settings.to get the real hours as your location timezone
IMPORTANT: Its for now just for BTC/USDT but you can optimize and test for other charts...
IMPORTANT: A green and red background color calculated for show the user the best places of buy and sell (green : positive signal, red: negative signals)
settings :
timezone : We choice a time frame for our indicator as our geo location
source : A source to calculate rate of change for it
Time Period : Time period of ROC indicator
About Calculations:
1- We first get a plot that just showing the present hour as a zigzag plot
2- So we use an indicator ( Rate of change ) to calculate chart movements as positive and negative numbers. I tested ROC is the best indicator but you can test close-open or real indicator or etc as indicator.
3 - for observe effects of all previous data we should indicator_cum that just a full sum of indicator values.
4- now we need to split this effects to hours and find out which hour is the best place to buy and which is the best for sell. Ok we should just calculate multiple of hour*indicator and get complete sum of it so:
5- we will divide this number to indicator_cum : (indicator_mul_hour_cum) / indicator_cum
6- Now we have the best hour to buy! and for best sell we should just reverse the ROC indicator and recalculate the best hour for it!
7- A green and red background color calculated for show the user the best places of buy and sell that dynamically changing with observing green and red plots(green : positive signal, red: negative signals) when green plot on 15 so each day on hour 15 the background of strategy indicator will change to 15 and if its go upper after some days and reached to 16 the background green color will move to 16 dynamically.
Magic BOXThe Magic BOX strategy is designed to work with cryptocurrency and Forex.
Working timeframe from 1 minute to 1 hour.
The strategy is based on the formation of a trade zone. Probably everyone has already noticed that every day there is a period of time that sets a certain corridor for further price movement in order to get out of it up or down. In the Magic BOX strategy, you yourself set the period that gives the best result using only 2 parameters - "Start hour" and "Final hour".
Every day, the algorithm generates a zone at a selected time and then opens deals to break through the upper or lower level of the resulting trading zone.
In addition, the settings have the ability to show additional entries - these are the moments of price rollback to the middle of the zone, as well as repeated breakouts of levels after the completion of the previous transaction.
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💹 SETUP SETUP:
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To configure, you should change the values "Start hour" and "Final hour" - the hour of the beginning and the hour of the end of the formation of the trading zone.
By default, the parameters are 20 hours and 7 hours (the time corresponds to the time zone of the exchange!).
To enable additional re-breakout signals, use - "Additional deals (repeat in the zone)"
To enable additional signals for position averaging use - "Additional deals (averaging position)"
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🟢 TAKE SETUP:
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The strategy has 3 types of take: BOX, FIX and DAY_CLOSE
BOX - take as a percentage of the width of the formed zone.
FIX - take as a percentage of the asset price.
DAY_CLOSE - select the hour at the beginning of which we close the position forcibly.
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⛔️ STOP SETUP:
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The strategy has 3 types of stop line: BOX, FIX and DAY_CLOSE
BOX - stop as a percentage of the width of the formed zone.
FIX - stop as a percentage of the asset price.
DAY_CLOSE - select the hour at the beginning of which we close the position forcibly.
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💡 OTHER USEFUL FEATURES
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✅ The screen has a compact display of a table with strategy settings and current level values.
For the convenience of saving your settings, use the standard PrintScreen function.
✅ 👉 In the strategy settings, each field has hints, to do this, hover over the ⓘ sign
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Magic BOX strategy is closed! You can get test access to it for 48 hours.
👉 In order to gain access or ask questions, write to me in private messages or at the contacts indicated in my signature.
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Magic BOX strategy is closed! You can get test access to it for 48 hours.
👉 In order to gain access or ask questions, write to me in private messages or at the contacts indicated in my signature.
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Стратегия Magic BOX предназначена для работы с криптовалютой и Форексом.
Рабочий таймфрейм от 1 минуты до 1 часа.
В основе стратегии лежит формирование зоны проторговки. Наверное уже каждый заметил, что каждый день есть период времени, который задаёт некий коридор для дальнейшего движения цены с целью выйти из него вверх или вниз. В стратегии Magic BOX Вы сами задаёте тот период, который даёт наилучший результат с помощью всего 2-х параметров - "Start hour" и "Final hour".
Каждый день алгоритм формирует зону в выбранное время и далее открывает сделки на пробой верхнего или нижнего уровня полученной зоны проторговки.
Кроме этого в настройках есть возможность показать дополнительные входы - это моменты отката цены к середине зоны, а также повторные пробития уровней, после завершения предыдущей сделки.
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💹 НАСТРОЙКА СЕТАПА:
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Для настройки следует изменять значения "Start hour" и "Final hour" - час начала и час окончания формирования зоны проторговки.
По умолчанию стоят параметры 20 часов и 7 часов (время соответствует времени часовой зоны биржи!).
Для включения дополнительных сигналов повторных пробоев используйте - "Additional deals (repeat in the zone)"
Для включения дополнительных сигналов на усреднение позиции используйте - "Additional deals (averaging position)"
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🟢 НАСТРОЙКА ТЕЙКОВ:
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Стратегия имеет 3 типа тейка: BOX, FIX и DAY_CLOSE
BOX - тейк в процентах от ширины сформированной зоны.
FIX - тейк в процентах от цены актива.
DAY_CLOSE - выбираем час, в начале которого принудительно закрываем позицию.
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⛔️ НАСТРОЙКА СТОПА:
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Стратегия имеет 3 типа стоп-линии: BOX, FIX и DAY_CLOSE
BOX - стоп в процентах от ширины сформированной зоны.
FIX - стоп в процентах от цены актива.
DAY_CLOSE - выбираем час, в начале которого принудительно закрываем позицию.
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💡 ПРОЧИЕ ПОЛЕЗНЫЕ ФУНКЦИИ
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✅ На экране есть компактное отображение таблицы с настройками стратегии и текущими значениями уровней.
Для удобства сохранения своих настроек - воспользуйтесь стандартной функцией PrintScreen.
✅ 👉 В настройках стратегии у каждого поля есть подсказки, для этого наведите курсор на знак ⓘ
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Стратегия Magic BOX является закрытой! Вы можете получить к ней тестовый доступ на 48 часов.
👉 Для того, чтобы получить доступ или задать вопросы пишите мне в личные сообщения или по контактам, указанным в моей подписи.
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AUTO ALGO ETH perfect strategy Our team has just completed the Auto Algo 2.1 for BTCUSDT and ETHUSDT .
Past results back to April 2019, this Trading system offers great profits with quick high frequency trades that is safe to use low leverage.
Absolutely NO REPAINT.
Very conservative approach.
This Indicator works on the 3 min Chart to enter the signal after checking all high time frame trends.
This has been back tested only for BTCUSDT and ETHUSDT .
Alerts are available for notifications and automated trading by subscription.
Alerts are available to view on Telegram public channel t.me
You are welcome to get access for 7 days by requesting it via private message on Tradingview or Telegram.
The settings can be changed between BTCUSDT and ETHUSDT .
Long alert: for long signal
Short alert: for short signal
Flat alert: close position in profit
close order long/short: close order with stoploss
Summary of the strategy data over 3 years from April 2019.
with 2000 USDT on 10x leverage.
These results include the commission paid you can check it in the settings.
from 04/01/2019 till 07/07/2022
winning percentage for this period is 74.56%
The Net profit for this period is $97,063.36 and max drawdown of only: $4,023.83
Summary of the strategy data since May 23 2022
with 2000 USDT on 10x leverage.
These results include the commission paid you can check it in the settings.
from 05/23/2022 till 07/07/2022
winning percentage for this period is [b84.25%
The Net profit for this period is $19,067.52 and max drawdown of only: $2125.99
With the backtesting data, this can be the ticket for financial freedom.
t.me
AUTO ALGO BTC/ETH perfect strategy Our team has just completed the Auto Algo 2.1 for BTCUSDT and ETHUSDT.
Past results back to April 2019, this Trading system offers great profits with quick high frequency trades that is safe to use low leverage.
Absolutely NO REPAINT.
Very conservative approach.
This Indicator works on the 3 min Chart to enter the signal after checking all high time frame trends.
This has been back tested only for BTCUSDT and ETHUSDT.
Alerts are available for notifications and automated trading by subscription.
Alerts are available to view on Telegram public channel t.me
You are welcome to get access for 7 days by requesting it via private message on Tradingview or Telegram.
The settings can be changed between BTCUSDT and ETHUSDT.
Long alert: for long signal
Short alert: for short signal
Flat alert: close position in profit
close order long/short: close order with stoploss
Summary of the strategy data over 3 years from April 2019.
with 2000 USDT on 10x leverage.
These results include the commission paid you can check it in the settings.
from 04/01/2019 till 07/07/2022
winning percentage for this period is 76.94%
The Net profit for this period is $85,310.64 and max drawdown of only: $4,609.71
Summary of the strategy data since May 23 2022
with 2000 USDT on 10x leverage.
These results include the commission paid you can check it in the settings.
from 05/23/2022 till 07/07/2022
winning percentage for this period is 84.67%
The Net profit for this period is $10,980.98 and max drawdown of only: $1,871.94
With the backtesting data, this can be the ticket for financial freedom.
t.me
Rate Of Change Trend Strategy (ROC)This is very simple trend following or momentum strategy. If the price change over the past number of bars is positive, we buy. If the price change over the past number of bars is negative, we sell. This is surprisingly robust, simple, and effective especially on trendy markets such as cryptos.
Works for many markets such as:
INDEX:BTCUSD
INDEX:ETHUSD
SP:SPX
NASDAQ:NDX
NASDAQ:TSLA
Sonic R & RSI only BTCUSD D1 strategySonic R & RSI only BTCUSD D1 strategy
for t.me/beincypto_vn
for those who want to create their own strategy
Use the explanations in the strategy to copy and edit a strategy for yourself
buy when on the chart is buyEMA or buyRSI
close buy order when on chart is closeEMA or closeRSI
please use coinbase exchange time frame D1
Soren test 2Me cool u bad
Say we use strategy.risk.allow_entry_in() to only trade longs. When our script uses the strategy.entry() function to open a short trade, TradingView of course won’t allow our strategy to go short. But that doesn’t mean the trade is ignored. Instead the ‘enter short’ trade – which is actually a sell command – becomes an ‘exit long’ order.
Another way to think about this is the following. The strategy.entry() function can reverse positions: longs into shorts, and shorts into longs. That reverse behaviour gets stopped by strategy.risk.allow_entry_in(). What strategy.entry() instead ends doing is close positions: from long to flat, or from short to flat.
(The example strategies that we discuss later in this article show how strategy.risk.allow_entry_in() makes strategy.entry() close instead of open trades.)
Say we use strategy.risk.allow_entry_in() to only trade longs. When our script uses the strategy.entry() function to open a short trade, TradingView of course won’t allow our strategy to go short. But that doesn’t mean the trade is ignored. Instead the ‘enter short’ trade – which is actually a sell command – becomes an ‘exit long’ order.
Another way to think about this is the following. The strategy.entry() function can reverse positions: longs into shorts, and shorts into longs. That reverse behaviour gets stopped by strategy.risk.allow_entry_in(). What strategy.entry() instead ends doing is close positions: from long to flat, or from short to flat.
(The example strategies that we discuss later in this article show how strategy.risk.allow_entry_in() makes strategy.entry() close instead of open trades.)
Say we use strategy.risk.allow_entry_in() to only trade longs. When our script uses the strategy.entry() function to open a short trade, TradingView of course won’t allow our strategy to go short. But that doesn’t mean the trade is ignored. Instead the ‘enter short’ trade – which is actually a sell command – becomes an ‘exit long’ order.
Another way to think about this is the following. The strategy.entry() function can reverse positions: longs into shorts, and shorts into longs. That reverse behaviour gets stopped by strategy.risk.allow_entry_in(). What strategy.entry() instead ends doing is close positions: from long to flat, or from short to flat.
(The example strategies that we discuss later in this article show how strategy.risk.allow_entry_in() makes strategy.entry() close instead of open trades.)Say we use strategy.risk.allow_entry_in() to only trade longs. When our script uses the strategy.entry() function to open a short trade, TradingView of course won’t allow our strategy to go short. But that doesn’t mean the trade is ignored. Instead the ‘enter short’ trade – which is actually a sell command – becomes an ‘exit long’ order.
Another way to think about this is the following. The strategy.entry() function can reverse positions: longs into shorts, and shorts into longs. That reverse behaviour gets stopped by strategy.risk.allow_entry_in(). What strategy.entry() instead ends doing is close positions: from long to flat, or from short to flat.
(The example strategies that we discuss later in this article show how strategy.risk.allow_entry_in() makes strategy.entry() close instead of open trades.)
Bot fib/pivot Hello, friends!
This strategy is based on the fibonacci level you choose in the setup and possible pivot points under the control of Williams’ Percent Range.
Williams' Percent Range is a dynamic indicator that detects overbought/oversold conditions.
When the possible reversal points coincide with the fibonacci level, and the high or low points according to Williams also coincide, then an entry occurs.
One of the oldest and most reliable trading tools are widely used support and resistance levels.
In this strategy, we are trying to find these reversal levels based on fibonacci.
//LOGIC ENTRY SETTINGS
Deviation-deviation from the pivot point, the lower this figure, the more entries. The yellow lines on the chart are pivot points.
Fibonacci lvl-fibonacci level, from which the entry will occur, provided that other conditions match
Highest lookback-The setting, which refers to Williams' Percent Range , looks at how many candles ago, was high or low. The smaller the number, the larger, but less accurate inputs.
//AMOUNT(USDT) FIRST ORDER AND > % NEXT
-Martingale first order (the amount of the entrance to the usdt) / next order (Increase of each subsequent order as a percentage)
//EXIT SETTINGS (%, RSI)
-Use RSI for close position? (the position will not be closed if it is in the red, even if the RSI conditions worked)
-Use % for exit? Exit immediately upon reaching the specified percentage
-Use trailing? When the checkbox is checked, the position will be exited by trailing.
Activation trail,after?- When the specified percentage is reached, trailing is activated!
Stop_trail,%- if the last candle falls from the high (after the trailing is activated), the position will be exited.
For example:
We entered the purchase at 100 per asset, activation costs 10, and stop is 2.
the price reached 110, there was an activation, after that it went up to 120, and from the high of the last candle, a 2% drop occurs and the trade is exited.
PS:The default value is 1%, what does this give us? if there is a sharp increase, then we take away all the movement
Use only long?
Allow long?- Only long trades will be displayed
Allow short? Only short trades will be displayed
Allo reverse? Upon receipt of a return signal, the opposite position will be closed.
//MARTINGALE GRID
If there is a check mark in the line "Use martingale and grid?"
then the grid will be active
If there is a check mark in the "Limit each next entry,%?" then, even if the entry from the bot logic is triggered, and the price does not fall by the specified percentage, then there will be no entry!
If there is a check mark in the "Grid,%" column, then purchases with martingale support will be added with a decrease by the specified percentage!
PS: "Grid" always starts anew, as the input from logic triggered!
//FILTER SETTINGS
1) Use filter oscillator? (The filter uses 7 averaged oscillators)
Period-the period for which you will be billing
Upper line-Short entry border.
(if 40, then there will be no entry until it reaches)
Lower line-Long entry border.
(20 until below 20 no entry)
2)Use filter range?
Filter type-moving average selection
Bars back-offset speed based on number of last bars
Period-period to calculate
3)Use filter supertrend?
Supertrend filter with multitimeframe
// How do filters work 2 and 3?
Filters can work either one by one or together.
A trade is entered when conditions from the logic and filters in the red zone are triggered, when there are no entries in the green zone.
//DATA RANGE:
-Testing results for any period of time
//PIRAMIDING
-Also in the settings there is a pyramid of order, keep this in mind. Make a deal for a small part of the deposit, and not for all the money at once!
PS: to use martingale, you need to write in the hook messages:
"amount": "{{strategy.order.contracts}}" (purchases will be in the amount of coins equivalent to USDT)
The default settings for TF are 1 minute, 10 inputs.
You can choose your settings for any TF, but look at different coins to make sure you have good statistics
Fukuiz Octa-EMA + Ichimoku (Strategy)This strategy is based EMA of 8 different period and Ichimoku Cloud which works better in 1hr 4hr and daily time frame.
#A brief introduction to Ichimoku #
The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
#A brief introduction to EMA#
An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average . An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average ( SMA ), which applies an equal weight to all observations in the period.
#How to use#
The strategy will give entry points itself, you can monitor and take profit manually(recommended), or you can use the exit setup.
EMA (Color) = Bullish trend
EMA (Gray) = Bearish trend
#Condition#
Buy = All Ema (color) above the cloud.
SELL= All Ema turn to gray color.
Saturday Strategy BTC By KziI take the hypothèse that saturday is the most stable day of the week because, no SP500, no fed announcement and no weekly closure.
My Strategy is very simple:
Take the friday color (Red = Short // Green = Long)
Then open at the friday close price
Take a small pourcentage (1 or 2 %) then close.
What ever close on midnight.
Work Well on the 1h chart.
The Yellow is the saturday.
Maybe we can add the monthly close information to avoid opening trade on saturday if we are at this event.
Enjoy and give me your comment.
Kzi
Chanu Delta RSI StrategyThis strategy is built on the Chanu Delta RSI , which indicates the strength of the Bitcoin market. The problem with the previous Chanu Delta Strategy was that it was simply based on the price difference between the two Bitcoin markets, so there was no universality. However, this new Chanu Delta RSI strategy solves the problem by introducing an RSI that compares the price difference trend.
When the Chanu Delta RSI hits “Bull Level” and “Bear Level” and closes the candle, long and short signals are triggered respectively. The example shown on the screen is a default setting optimized for a 4-hour candlestick strategy based on the Bybit BTCUSDT futures market. You can use it by adjusting the setting value and modifying it to suit you.
This strategy is selectable from both reference and large amplitude BTCUSD markets in order to enable fine backtesting. I recommend using BYBIT:BTCUSDT for the reference market and COINBASE:BTCUSD for the large amplitude market.
(Note) Using the "Chanu Delta RSI" to know the current indicator value in real time, it is convenient to predict the signal of the strategy.
(Note) Because the Chanu Delta RSI represents the price difference based on the Bybit BTCUSDT futures market, backtesting is possible from March 2020.
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이 전략은 비트코인 시장의 강점을 나타내는 Chanu Delta RSI를 기반으로 합니다. 기존 Chanu Delta 전략의 문제점은 단순히 두 비트코인 시장의 가격차를 기준으로 하여 보편성이 없었다는 점이다. 하지만 이번 새로운 Chanu Delta RSI 전략은 가격차이 추세를 비교하는 RSI를 도입해 문제를 해결했습니다.
Chanu Delta RSI가 "Bull Level"과 "Bear Level"에 도달하고 봉마감하면 롱, 숏 신호가 각각 트리거됩니다. 화면에 보이는 예시는 Bybit BTCUSDT 선물 시장을 기반으로 한 4시간 캔들스틱 전략에 최적화된 기본 설정입니다. 설정값을 조정하여 자신에게 맞게 수정하여 사용하시면 됩니다.
이 전략은 정밀한 백테스팅을 가능하게 하기 위해 참조 및 큰 진폭 BTCUSD 시장에서 모두 선택할 수 있습니다. 참조 시장에는 BYBIT:BTCUSDT를 사용하고 큰 진폭 시장에는 COINBASE:BTCUSD를 사용하는 것이 좋습니다.
(주) "Chanu Delta RSI"를 이용하여 현재 지표 값을 실시간으로 알 수 있어 전략의 시그널을 예측하는데 편리합니다.
(주) Chanu Delta RSI는 바이비트 BTCUSDT 선물시장을 기준으로 가격차이를 나타내므로 2020년 3월부터 백테스팅이 가능합니다.
BTC Cap Dominance RSI StrategyThis strategy is based on the BTC Cap Dominance RSI indicator, which is a combination of the RSI of Bitcoin Market Cap and the RSI of Bitcoin Dominance. The concept of this strategy is to get a good grasp of the bitcoin market flow by combining bitcoin dominance as well as bitcoin market cap.
BTC Cap Dominance (BCD) RSI is defined as:
BCD RSI = (BTC Cap RSI + BTC Dominance RSI) / 2
Case 1 (Bull market):
Both Cap RSI and Dominance RSI values are high
Case 2 (Neutral market):
Cap RSI is high but Dominance RSI is low
Cap RSI is low but Dominance RSI is high
Case 3 (Bear market):
Both Cap RSI and Dominance RSI values are low
When the BCD RSI value closes the candle above the Bull level, it triggers a long signal and when the value closes below the Bear level, it triggers a short signal.
(Note) Please note that TradingView's market cap symbols (CRYPTOCAP:TOTAL and CRYPTOCAP:TOTAL2) started in January 2020, so strategy backtesting is possible from this point on.
(Note) Since the real-time BCD RSI value does not come out with this strategy, it is recommended to use it together because the current value can be known and the long-short signal can be predicted in advance by using a separate BCD RSI Index together.
If "Use Combination of dominance RSI ?" is not checked in addition to the recommended default value of the strategy, the recommended values are Length (14), Bull level (74), Bear level (25).
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이 전략은 비트코인 시가총액의 RSI와 비트코인 도미넌스 RSI를 조합하여 만든 BTC Cap Dominance RSI 지표를 기반으로 만들어졌습니다. 이 전략의 컨셉은 비트코인 시가총액뿐만 아니라 비트코인 도미넌스를 조합함으로써 비트코인 시장 흐름을 잘 파악할 수 있도록 하는 것입니다.
BTC Cap Dominance (BCD) RSI는 다음과 같이 정의하였습니다.
BCD RSI = (BTC Cap RSI + BTC Dominance RSI) / 2
Case 1 (강세 장):
Cap RSI와 Dominance RSI 값 모두 높은 경우
Case 2 (횡보 장):
Cap RSI는 높지만 Dominance RSI는 낮은 경우
Cap RSI는 낮지만 Dominance RSI는 높은 경우
Case 3 (약세 장):
Cap RSI와 Dominance RSI 값 모두 낮은 경우
BCD RSI 값이 Bull level 위에서 캔들 마감할 경우 long 신호를 트리거하고 Bear level 아래에서 캔들 마감할 경우 short 신호를 트리거합니다.
(주의) 트레이딩뷰의 시가총액 심볼들 (CRYPTOCAP:TOTAL과 CRYPTOCAP:TOTAL2)이 2020년 1월부터 시작하였으므로 이 시점부터 전략 백테스팅이 가능한 점을 유의하십시오.
(주의) 이 전략은 실시간 BCD RSI 값이 나오지 않기 때문에 별도의 BCD RSI Index를 함께 사용하면 현재 값을 알 수 있어 롱숏 신호를 사전에 예측할 수 있으므로 함께 사용하기를 권장합니다.
전략의 추천 기본값 외에 "Use Combination of dominance RSI ?"를 체크하지 않는 경우 권장하는 값은 Length (14), Bull level (74), Bear level (25) 입니다.
Btcusdt - 4hr Trendreversal algoritmeIn this strategy we use a combination of differents indicators to catch the highs and lows and follow the right direction at all times.
The conditions of this 4hr algo are based on Ema's and WMA's that rise or fall:
Momentum;
Price Action
Volume
RSI
BB
I have backtested the algo for 2 years before i ran it live. I ran the algo live for 1 year now and ( October 2020) as for now the algo indicates a trend reversal 70-80% correctly.
The backtest result shown started from 01-10-2017and is simulated using 15% of the capital on BINANCE:BTCUSDT
I have varies Algo's on different Timeframes. If you're interested sent me a message.
Please be aware that past results are no guarantee for future performance!
BTC 30m ScriptWhat are your thoughts on this script? I connected it to Coinbase Pro via AWS lambda for auto-trading. I'm waiting for BTC to start bullish again before turning it on in production. Thoughts? Thank you! John
Linear Regression Channel Breakout StrategyThis strategy is based on LonesomeTheBlue's Linear Regression Channel Indicator. First of all, I would like to thank LonesomeTheBlue. Breaking the Linear Regression Channel to close the candle triggers a Long or Short signal. If the slope of the Linear Regression Channel is positive, it is Short when it breaks out the lower line, and when the slope is negative, it is Long when it breaks out the upper line. The default is optimized for 8-hour candles, and for other hour candles, find the optimal value yourself. Below is a description of LonesomeTheBlue's Linear Regression Channel.
이 전략은 LonesomeTheBlue의 Linear Regression Channel Indicator를 기반으로 만들어졌습니다. 우선 LonesomeTheBlue님께 감사의 말씀을 드립니다. Linear Regression Channel을 돌파하여 봉 마감하면 Long 또는 Short 신호를 트리거합니다. Linear Regression Channel의 기울기가 양인 경우 하단 라인을 돌파하면 Short이고 그 기울기가 음인 경우 상단 라인을 돌파하면 Long입니다. 기본값은 8시간봉에 최적화 되어 있으며, 다른 시간봉은 직접 최적값을 찾아보십시오. 아래는 LonesomeTheBlue의 Linear Regression Channel에 대한 설명을 퍼왔습니다.
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There are several nice Linear Regression Channel scripts in the Public Library. and I tried to make one with some extra features too. This one can check if the Price breaks the channel and it shows where is was broken. Also it checks the momentum of the channel and shows it's increasing/decreasing/equal in a label, shape of the label also changes. The line colors change according to direction.
using the options, you can;
- Set the Source (Close, HL2 etc)
- Set the Channel length
- Set Deviation
- Change Up/Down Line colors
- Show/hide broken channels
- Change line width
meaning of arrows:
⇑ : Uptrend and moment incresing
⇗ : Uptrend and moment decreasing
⇓ : Downtrend and moment incresing
⇘ : Downtrend and moment decreasing
⇒ : No trend
Simple EMA Crossing Strategy TradeMathSimple EMA Crossing strategy, based on crossover Fast exponential moving average = EMA21 and Slow exponential moving average = EMA55.
Default stop loss is 3%, but you can change it.
Default take profit is 9%, it based on stop loss.
Risk to Reward ratio is 1 to 3.
Strategy was tested on BTCUSDT 1H timeframe and works fine with these parameters.
[Joy] Jasmine Strategy for Bitcoin and CryptoIt is my strategy I use for spot and future trading, mostly for BTCUSD
Notable parameters used:
INDEX:BTCUSD
Data: 2017 - today
Long trade margin/leverage: 8x (50/8 = 6.25)
Short trade margin/leverage: 1x (50/50 = 1)
Commission: 0.075%
Initial Capital: $15, 000
Results:
Net profit: 832.74 %
Buy & Hold: 602.56 %. It beats the buy and hold.
Percent profitability: 88 % . It means 8 out of 10 trades resulted in profits.
Margin Calls: 0 (i.e. Never had a margin call according to backtest from 2017 till today)
Total closes trades: 25
Profit factor: 8.238
Avg Winning Trade: 43.08 %
Largest Winning Trade: 334.85 %
Avg # Bars in Winning Trades: 44 (i.e. 88 days)
Sharpe Ratio: 0.61. A Sharpe ratio under 1.0 is considered sub-optimal. Because of the big swings, I cannot make the Sharpe ratio any better at this time.
Sortino Ratio: 5.153. I think a Sortino ratio of 3.0 or higher is considered excellent. Do your research.
I am using 7.1% stop loss on long trades. However, you can turn off the stop loss and note the profitability remains the same.
Do remember there may be other costs, such as funding costs.
Description:
The strategy hunts for a few market features, namely breakouts, abnormal wicks relative to the body, abnormal volume relative to the candle characteristics, and possible confirmation of all these. It also hunts for more aspects. It gives a relative score of each of the characteristics. Finally, it tries to draw a guesstimate. In the end, it is only a guesstimate. Users see the final outcome (buy/sell etc). The whole logic happens at the background.
The strategy is not to be used for scalping, day trading or swing trading. In other words, it is not suitable for trading in a lower timeframe. It is to be used for Positional Trading For example, if one is trying this for BTCUSD, one may only try this for BTCUSD in a 2day timeframe and not in lower timeframes (such as 4 hours or 1 hour etc.) I am primarily interested in BTC for my research. However, it may be tested on other cryptos as well with varying degrees of results.
Please remember that past performance does not be indicative of future results. Different types of investments involve varying degrees of risk. There can be no assurance that the information referred to directly or indirectly in this strategy will be profitable, equal to any corresponding historical performance level(s), or suitable for you in any form or shape. Market condition changes very fast. Moreover, it would be best if you did not assume that any discussion or information contained here serves as the receipt of, or as a substitute for, personalized investment advice. I am not a financial advisor. I have no qualifications to be a financial advisor. It is only for educational and research purposes. Readers are encouraged to consult with a professional advisor of his/her choosing. Neither I nor my indicators or strategies take any responsibility for any misuse of the information for any actual trading. Even though this strategy did 88% profitability from 2017-2021, it may do poorly and may even be NOT profitable in the future.
supertrend strategyHI,
today I have finished to study another strategy, this time I have done a supertrend with a positive backtest untill 2015 in ETH / BTC pair.
It is very simple to understand and there are only 4 parameters:
The first 2 parameters are about supertrend u can change it as u want.
The last 2 parameters are about trailing stop and target profit, personally I use target 9.6% and trail 8%.
That's all, this is a very simple and profittable strategy.
My personal setting are 4,7,8,9.6
For info write me in private
Please press like, comment or follow :)
RSI+CMO Hybrid StrategyThis strategy is based on the RSI+CMO Hybrid Index I created. I modified both the original RSI and CMO so that the RSI+CMO Index value ranges from -100 to +100 and defined as follows. When the RSI+CMO Hybrid Index values close above the Bull Level and below the Bear Level, the strategy will trigger long and short signals respectively. This newly defined hybrid RSI+CMO indicator showed better win rates and better profits than the original CMO strategy. The default setting for this strategy is optimized for an 8-hour candle. For candles at different times, try to find the optimal value yourself.
* I was going to open the script, but recently there was a case of stealing my script and publishing it without permission, so I decided not to disclose it.
▶ Modified RSI = Original RSI - 50
Therefore,
Original RSI (0 ~ 100) → Modified RSI (-50 ~ +50)
▶ Modified CMO = Original CMO * 0.5
Therefore,
Original CMO (-100 ~ +100) → Modified CMO (-50 ~ +50)
▶ RSI+CMO Hybrid Index = Modified RSI + Modified CMO
Therefore,
RSI+CMO Hybrid Index (-100 ~ +100)
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이 전략은 기존의 RSI와 CMO 지표를 수정하여 새롭게 정의한 하이브리드 RSI+CMO 지표를 기반으로 만들어졌습니다. 지표 값의 범위가 -100에서 100의 범위를 가질 수 있도록 기존의 RSI와 CMO를 수정하여 만들었습니다. RSI+CMO Hybrid Index 값이 Bull Level 이상과 Bear Level 아래에서 봉마감을 하면 이 전략은 각각 롱과 숏 신호를 트리거합니다. 이렇게 새롭게 정의된 RSI+CMO 지표는 기존 CMO 전략 대비 승률과 수익이 더 우수합니다. 이 전략의 세팅 기본값은 8시간봉에 최적화 되어있습니다. 다른 시간대 봉에서는 최적값을 직접 찾아보십시오. 그리고 이전략은 RSI+CMO Hybrid Index와 함께 사용하면 Long과 Short 신호를 예측할 수 있어 편리합니다.
* 최근에 제 스크립트를 도용/표절하여 무단으로 퍼블리쉬한 사례가 발생하여 더 이상 스크립트는 공개하지 않기로 하였습니다.
Chanu Delta Strategy V3This strategy is built on the Chanu Delta Indicator, which indicates the strength of the Bitcoin market. When the Chanu Delta Indicator hits “Delta Bull” and “Delta Bear” and closes the candle, long and short signals are triggered respectively. The example shown on the screen is a default setting optimized for a 4-hour candlestick strategy based on the Bybit BTCUSDT futures market. You can use it by adjusting the setting value and modifying it to suit you.
This new version is selectable from both reference and large amplitude BTCUSD markets in order to enable fine backtesting. I recommend using BYBIT:BTCUSDT for the reference market and INDEX:BTCUSD for the large amplitude market.
If you use this strategy in conjunction with the Chanu Delta Indicator, it is convenient to anticipate alert signals in advance. Because the Chanu Delta Indicator represents the price difference based on the Bybit BTCUSDT futures market, backtesting is possible from March 2020.
▶ Improvements and originality compared to the previous version
1. Selectable BTCUSD reference and large amplitude markets
2. Improvement of the SL/TP Function
- Improved SL/TP function based on the actual entry price of the position.
- Application of SL/TP function can be turned on/off.
Traffic Lights Strategy4HS Crypto Market Strategy
This strategy uses 4 ema to get Long or Short Signals
Length are: 4, 9, 18, 100
We take long positions when the order of the emas is the following:
green > yellow > red (As the color of Traffic Lights) and they are above white ema (Used as a filter for long positions)
We take short positions when the order of the emas is the following:
green < yellow < red (As the color of inverse Traffic Lights) and they are below white ema (Used as a filter for short positions)
Enable Long and/or Short Positions in settings
Enable Profit and Stop in strategy settings with different percentage to backtest the strategy. Also if it is better to use a Traditional Stop Loss or a Trailing Stop Loss based on ATR
Change ema filter resolution in settings for better strategy performance
This Strategy was tested on Crypto Market with good results in assets as BTC, ETH, BNB, ADA, LTC, XLM, BCH, among others
Feel free to optimize this strategy, optimizing its parameters. Each asset has its own "personality".
MyTradePartnerMyTradePartner strategy makes the cryptocurrency markets buy and sell automatically. 5 stoploss, fixed profit take and stoploss level can be customized from strategy settings. There are 4 separate strategies that you can set in the strategy. First of them, there are strategies that decide long and short positions in accordance with your settings at the pivot levels, second of the super trend, third of the potential return levels, third of the up and down breaks. Pyramiding can offer multiple entry points. Strategy back tests can be adjusted to the desired time period and can be used as spot or term if desired. Frostybot is set to work fully compatible with js when the necessary inputs are made from these strategy settings. When installing an alarm for FROSTYBOT JS, the alarm message field is {{strategy.order.alert_message}}.
FEATURES:
-Fully compatibly with Frostybot
-High Percent Profitable strategy up to %60
-İnclude five level Trailing Stoploss, fixed stoploss and takeprofit with position size management
-include four strategy mentably in one strategy use one, use two or both
-All settings are customizable. Create your unique strategy with settings.