Simple scalping strategy for SOLThis is a simple scalping strategy for trading SOL made on top of the Rebalance Oscillator and the Rebalance Bear/Bull market indicators.
It is intended mostly as proof that these two indicators have their benefits even in simpler strategies.
This strategy in particular works well for the Bear months (check Nov. in the data window) but considerably underperforms Buy&Hold for the Bull months.
It tries to do a market operation per candle whenever the candle happens in a buy/sell trading window of the
Rebalance Bear/Bull indicator ().
It always buys/sells the same amount by default (you can set it in the cog menu in the option "Base Crypto Amount To Trade"),
for SOL this is set to 1.0SOL.
This is my first attempt at scalping, it differs slightly from the standards because it does not require fast
response candles or immediate market operations (it can work well with limit trading) and on top of this it also
does not require a stop loss since it uses an indicator that provides the trading windows (surprises can still happen though).
The profit that this strategy tries to take for each buy/sell pair is not configurable and is set at 12% each way when it happens.
Analisi trend
Abdoli's Heikin Ashi Smoothed Buy & Sell Strategy Rev.4This simple strategy is just based of a single indicator, my dear Heikin Ashi Smoothed!
Just try and enjoy it ;)
Best Strategy on TradingView? (Maybe)Best is quite a broad adjective and can be interpreted in many ways.
Does this strategy produce the best net profit on everything it trades compared to every other strategy? Probably not.
Does this strategy have the highest profit factor compared to every other strategy? Probably not.
However, in terms of all in one packages that are easy to implement and understand, while providing great results on most assets on most time frames... Is this the best strategy on TradingView? Maybe!
This strategy provides enough flexibility to be completely customised to each users trading needs, while being based on strategy logic that is so broad, so time tested and not overfitted - that it can be used by everyone on anything.
The strategy is fairly simple, MA ribbons, and the ATR. Seriously that's pretty much it. For momentum and trend based trading what more do you need! I've tried adding multitudes of other indicators, fundamental factors, technical tools etc. But after all that, this simple combo provides the best and most rounded results across the board.
I've tried to make the UI simple and intuitive so all users can load up and go and feel like they understand everything that is happening - but if anyone has any questions please do not hesitate to ask!
Also, if you find some great settings on something, share your results in the comments!
Have any ideas how this can be improved? Again, just let me know!
I hope you enjoy and I hope this helps with your trading & investing.
XTZ trading strategy for Bear monthsThis is my 3rd approach into trading XTZ. It is tuned into bear months and needs to work for at least 30 days.
It looks at the rebalance oscillator and bear market indicator and tries to find a position in the market that does not lose money within the month.
Use the cog icon to update the trading window to fit previous months, and check out the data window for its real performance. Do not rely on the Strategy Tester since this strategy is performing only with `strategy.order` making the values of the Strategy Tester irrelevant and inconsistent with its performance.
Simple/Compounded Returns & Drawdowns TableVery excited to bring this script to the public. This is a very useful table that displays the performance of any strategy you give it in a more detailed view. It runs on all timeframes and at any position on the chart with the replay function. It also updates on tick changes. The table consists of three modes: Simple Equity, Compound Equity and Drawdown.
Simple Equity – shows the change in equity for every month and year. It is calculated by finding the difference in initial equity at the beginning of the month/year and the end of the month/year. The table will thus display strategy performance in blocks of time that are not correlated. It is an excellent way to see individual month/year performance from start to finish but it may not represent true change in equity over time. For example, let's assume that 100% of equity is used on every trade for simplicity. If a loss of 50% is made in the first month and a profit of 100% is made in the next month, the strategy will show 50% profit for the year. This aggregate value might be helpful to know for testing purposes, but in reality, the account is actually at break-even for the year (Initial Equity * 0.5 * 2 = Initial Equity).
Compound Equity – shows compounded change in equity for every month and year. It is calculated by finding the difference in starting equity when the strategy is run and equity at the end of the month/year. The table will thus display the true strategy performance – compounded equity at the end of each month/year.
Drawdown – shows max drawdown for every month and year. It is calculated by finding the difference between the highest equity achieved for the month/year and the trough in equity for the same month/year. Notice: strategy tester might have a max drawdown value higher than any of the drawdown values in the table. This is because the strategy tester calculates the difference between the highest and lowest equity for the entire strategy, whereas the table displays drawdowns for months and years only. Sometimes, the max drawdown for the year will also be the max drawdown for the entire strategy; hence the two values will be the same.
To use this table with your own strategy, simply find " PLACE YOUR STRATEGY CODE HERE " at the bottom of the script and place your strategy code there. Special thanks to QuantNomad for the inspiration. As always, please let me know if there are any bugs or if you need some help. Leave a like if you wish!
[Fedra Algotrading Strategy Trailing Stop Version]Simpler version of my popular strategy.Optimized for cryptocurrencies. Originally conceived to trade automatically through bots (that's how I use it), it also works to get signals and trade manually in any exchange.
It works in spot.
Buy the dip:
Attempts to buy on the dip, finding entries when the price makes abrupt dips that break deviation of the linear regression of the last periods.
Trend Detection:
Determines whether the market is in an uptrend or downtrend by crossing 2 SMAs + super trend in different temporalities. This affects the performance of the strategy. It works as a filter to avoid making entries in a downtrend.
% Trailing Stop Loss. The Stop Loss is placed a % below the price and accompanies it in the rises to make the most of an uptrend.
Optionally, you can set up a percentage Take Profit
It allows you to easily configure the backtest period to optimize the parameters for consistent results.
The strategy calculates by default a commission of 0.1% on each trade to make the backtest more "pessimistic".
Includes advanced features for compatibility with different bots platforms in the market.
Risk management by % of equity or by maximum series of losses.
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Versión más simple de mi popular estrategia, optimizada para criptomonedas. Originalmente concebida para operar automáticamente a través de bots (así es como la uso yo), también funciona para obtener señales y operar manualmente en cualquier exchange.
Funciona en spot.
Compra en la caída:
Intenta comprar en la caída, encontrando entradas cuando el precio hace caídas abruptas que rompen la desviación de la regresión lineal de los últimos períodos.
Detección de tendencia:
Determina si el mercado está en tendencia alcista o bajista mediante el cruce de 2 SMAs + super trend en diferentes temporalidades. Esto afecta al rendimiento de la estrategia. Funciona como un filtro para evitar hacer entradas en contra de la tendencia del mercado.
% Trailing Stop Loss. El Stop Loss se coloca un % por debajo del precio y lo acompaña en las subidas para aprovechar una tendencia alcista.
Opcionalmente, se puede establecer un porcentaje de Take Profit
Permite configurar fácilmente el periodo de backtest para optimizar los parámetros y obtener resultados consistentes.
La estrategia calcula por defecto una comisión del 0,1% en cada operación para que el backtest sea más "pesimista".
Incluye características avanzadas para la compatibilidad con diferentes plataformas de bots en el mercado.
Gestión del riesgo por % del capital o por serie máxima de pérdidas.
robotrading linregWhat is Linear Regression?
(English) www.tradingview.com
(English) www.tradingview.com
(Russian) Link
This script
Straight lines show the last linear regression channel. The smooth lines show the coordinates of the same channel in the past. This allows you to backtest this strategy using past prices.
It also makes sure that the linear regression channel is useless for the cryptocurrency market :)
Strategy
The limit order to open a long position is on the bottom line (lime color). Limit order to open a short position is on the top line (red). All positions are closed by a limit order when the central line of the channel is crossed (blue). A limit order is also used to close positions.
For
Do not use in the cryptocurrency market.
Linear trendSimple way how to use Linear Regression for trading.
What we use:
• Linear Regression
• EMA 200 as a trend filter
Logic:
Firstly we make two different linear regression movings as oscillator. For this we need to subtract slow moving from fast moving, so we get the single moving around zero. This is the green/red line which appears on the chart.
The trade open when LR cross over the threshold. The trade close when LR cross under the threshold below. Crossing over the threshold is the same as faster moving cross over slower moving.
Also we use EMA as a filter. The trades would be only when the price is over than EMA 200.
QaSH DCA Ichimoku Cloud
This powerful script takes the classic Ichimoku Cloud strategy and revitalizes it by allowing the user to make multiple DCA orders on each trade. Spreading your entry through DCA orders allows you to give the entry point room to breathe, and average down your position as the volatility momentarily pulls price against you. Both long and short positions are possible, each limited to a maximum of 5 DCA orders per trade.
When the Ichimoku cloud is showing bullish direction, only long trades will be allowed. During bearish direction, short trades will be allowed.
Two additional multi-timeframe EMA's can be added and used as filters for the long and short entries.
If you like you can use as little as one entry order per trade:
Or you can use up to a maximum of 5 DCA orders
Outside DayThis strategy is taken from Perry Kaufman's book "Trading System and Methods".
You can enter on the direction of the candle, or opposite to it. I find that the opposite tends to yield better results in volatile assets, allowing a better reward to risk ratio. There is no stop loss in this strategy, only a fixed take profit and a time limitation.
pomilaThis video is a detailed video overview of the _CM_Ultimate_MA_MTF_V4 - Multiple Time Frame - V4 Release.
I will post the link to the Indicator within a few minutes after this video goes live on TradingView either in the Link to Related Ideas below, or I'll post a comment below with the link.
Thanks for you patience.
Please Post and feature requests for this indicator below.
P-Signal Strategy & AlertThanks to your advices I removed in this version something that was not necessary for the strategy but added alert and the chart of the current state of the strategy (white 1 - in trade, 0 - out of trade).
Double SupertrendThis strategy is based on a custom indicator that was created based on the Supertrend indicator. At its core, there are always 2 super trend indicators with different factors to reduce market noise (false signals).
The strategy/indicator has some parameters to improve the signals and filters.
TECHNICAL ANALYSIS
☑ Show Indicators
This option will enable/disable the Supertrend indicators on the chart.
☑ Length
The length will be used on the Supertrend Indicator to calculate its values.
☑ Dev Fast
The fast deviation or factor from one of the super trend indicators. This will be the leading indicator for entry signals, as well as for the exit signals.
☑ Dev Slow
The slow deviation or factor from one of the super trend indicators. This will be the confirmation indicator for entry and exit signals.
☑ Exit Type
It's possible to select from 4 options for the exit signals. Exit signals always take profit target.
☑ ⥹ Reversals
This option will make the strategy/indicator calculate the exit signals based on the difference between the given period's highest and lowest candle value (see Period on this list). It's displayed on the chart with the cross. As it's possible to verify in the image below, there are multiple exit spots for every entry.
☑ ⥹ ATR
Using ATR as a base indicator for exit signals will make the strategy/indicator place limit/stop orders. Candle High + ATR for longs, Candle Low - ATR for shorts. The strategy will show the ATR level for take profit and stick with it until the next signal. This way, the take profit value remains based on the candle of the entry signal.
☑ ⥹ Fast Supertrend
With this option selected, the exit signals will be based on the Fast Supertsignal value, mirrored to make a profit.
☑ ⥹ Slow Supertrend
With this option selected, the exit signals will be based on the Slow Supertsignal value, which is mirrored to take profit.
☑ Period
This will represent the number of candles used on the exit signals when Reversals is selected as Exit Type. It's also used to calculate the gradient used on the Fills and Supertrend signals.
☑ Multiplier
It's used on the take profit when the ATR option is selected on the Exit Type.
STRATEGY
☑ Use The Strategy
This will enable/disable the strategy to show the trades calculations.
☑ Show Use Long/Short Entries
Option to make the strategy show/use Long or Short signals. Available only if Use The Strategy is enabled
☑ Show Use Exit Long/Short
Option to make the strategy show/use Exit Long or Short signals (valid when Reversals option is selected on the Exit Type). Available only if Use The Strategy is enabled
☑ Show Use Add Long/Short
Option to make the strategy show/use Add Long or Short signals. With this option enabled, the strategy will place multiple trades in the same direction, almost the same concept as a pyramiding parameter. It's based on the Fast Supersignal when the candle fails to cross and reverses. Available only if Use The Strategy is enabled
☑ Trades Date Start/End
The date range that the strategy will check the market data and make the trades
HOW TO USE
It's very straightforward. A long signal will appear as a green arrow with a text Long below it. A short signal will appear as a red arrow with a text Short above it. It's ideal to wait for the candle to finish to validate the signal.
The exit signals are optional but give a good idea of the configuration used when backtesting. Each market and timeframe will have its own configuration for the best results. On average, sticking to ATR as an exit signal will have less risk than the other options.
☑ Entry Signals
Follow the arrows with Long/Short texts on them. Wait for the signal candle to close to validate the entry.
☑ Exit Signals
Use them to close your position or to trail stop your orders and maximize profits. Select the exit type suitable for each timeframe and market
☑ Add Entries
It's possible to increase the position following the add margin/contracts based on the Add signals. Not mandatory, but may work as reentries or late entries using the same signal.
☑ What about Stop Loss?
The stop-loss levels were not included as a separated signal because it's already in the chart. There are some possible ideas for the stop loss:
☑⥹ Candle High/Low (2nd recommend option)
When it's a Long signal from the entry signal candle, the stop loss can be the Low value of the same candle. Very tight stop loss in some cases, depending on the candle range
☑⥹ Local Top/Bottom
Selecting the local top/bottom as stop loss will give the strategy more room for false breakouts or reversals, keeping the trade open and minimizing noises. Increases the risk
☑⥹ Fast Supertrend (1st recommend option)
The fast supertrend can be used as stop-loss as well. making it a moving level and working close to trail stop management
☑⥹ Fixed Percentage
It's possible to use a fixed risk percentage for the trades, making the risk easier to control and project. Since the market volatility is not fixed, this may affect the accuracy of the trades
☑⥹ Based on the ATR (3rd recommend option)
When the exit type option ATR is selected, it will display the take profit level for that entry. Just mirror that value and put it as stop-loss, or multiply that amount by 1.5 to have more room for market noise.
EXAMPLE CONFIGURATIONS
Here are some configuration ideas for some markets (all of them are from crypto, especially futures markets)
BTCUSDT 15min - Default configuration
BTCUSDT 1h - Length 10 | Dev Fast 3 | Dev Slow 4 | Exit Type ATR | Period 50 | Multiplier 1
BTCUSDT 4h - Length 10 | Dev Fast 2 | Dev Slow 4 | Exit Type ATR | Period 50 | Multiplier 1
ETHUSDT 15min - Length 20 | Dev Fast 1 | Dev Slow 3 | Exit Type Fast Supertrend | Period 50 | Multiplier 1
IOTAUSDT 15min - Length 10 | Dev Fast 1 | Dev Slow 2 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
OMGUSDT 15min - Length 10 | Dev Fast 1 | Dev Slow 4 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
VETUSDT 15min - Length 10 | Dev Fast 3 | Dev Slow 4 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
HOW TO FIND OTHER CONFIGURATIONS
Here are some steps to find suitable configurations
select a market and time frame
enable the Use This Strategy option on the strategy
open the strategy tester panel and select the performance summary
open the strategy configuration and go to properties
change the balance to the same price of the symbol (example: BTCUSDT 60.000, use 60.000 as balance)
go back to the inputs tab and keep changing the parameters until you see the net profit be positive and bigger than the absolute value of the drawdown
in case you can't find a suitable configuration, try other timeframes
Since the tester reflects what happened in the past candles, it's not guaranteed to give the same results. However, this indicator/Strategy can be used with other indicators as a leading signal or confirmation signal.
GRB LongThis strategy generates swing trading signals based on the Golden Ratio Breakout. This is a long-only strategy, entry is breakout and retest of 38.2 fib level and SL is 23.6 fib level from last 21 days. These are only suggestions and NOT recommendations. Please do your own due diligence before taking ANY action. No responsibility for any profits/LOSSES.
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
P-Signal Strategy (BTCUSD Multi Frame)This is an example of constructing P-Signal strategy on a set of probability spaces. In this case, the daily weekly and monthly time frames are used. Please note that the parameters for each of the spaces (the number of bars in the gear) are different.
[Wantrader] Turtle Swing Strategy (Backtest)This is the Wantrader's turtle swing strategy.
It's a transformation of Richard Danis' Turtle Trading.
It's the best strategy for and
Please choose 1H time frame
If the date is the future than today, only show you until yesterday
No repaint
"It's a mid-term trend swing strategy."
- Enter a specific standard of reporting price and liquidate it at a new low price.
- It's a long-only strategy without short trade.
- It has high market adaptability in response to market volatility.
- We have minimized over-optimization factors so that they can work well in the future
"The efficiency has been increased by delicate control of entry volume."
- Control losses by managing funds in line with market changes
- Calculate the leverage on the day automatically
- It goes in more when it's advantageous and less when it's disadvantageous
- It's a welfare strategy that works against assets
"We further lowered the risk by cutting off and buying in installments"
- If you deviate from the trend of mid-term price indicators, you will escape.
- It was purchased in installments twice, increasing the confidence of entry
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리처드 대니스의 터틀트레이딩을 변형한
원트레이더 터틀 스윙 전략 입니다.
비트코인, 이더리움 에 가장 잘 맞는 전략이며
1H 타임프레임으로 선택해주세요
백테스트 버전은 전일까지만 확인 가능합니다. (당일 진입 확인 불가)
리페인트는 발생하지 않습니다.
"중기 추세 스윙 전략입니다."
- 특정기준의 신고가에 진입, 신저가에 청산합니다.
- 숏은 없는 롱 온리 전략입니다.
- 시장 변동성에 따라 대응하여 시장 적응력이 높습니다.
- 과최적화 요소를 최소화 하여 미래에도 잘 작동 할 수 있도록 만들었습니다.
"섬세한 진입 물량 제어로 효율을 높였습니다."
- 시장 변화에 맞춰 자금관리를 하여 손실을 제어합니다.
- 당일 레버리지를 매일 자동으로 계산합니다.
- 유리할때 더 들어가고, 불리할때 적게 들어갑니다.
- 자산대비로 작동하는 복리 전략입니다.
"손절과 분할매수로 리스크를 더욱 낮췄습니다."
- 중기 가격지표 추세 (모멘텀에 가까움)를 이탈 시 탈출합니다.
- 2회에 걸쳐서 분할매수 하여, 진입 확신도를 높였습니다.
Flip a CoinHave you ever wanted a strategy that is completely random? Well here's the Flip-a-Coin strategy that has entirely random and unpredictable trades! With the randomiser to make it a truly unique strategy to you, and the ability to add martingale logic to the risk means you could either be making millions or losing it all in no time! Please do not trade with this! At best it is a good baseline for testing if your own strategy is better or worse than literally flipping a coin. Enjoy!
P-Signal StrategyThis is an example of building a trading strategy based on a p-signal. The p-signal indicates the entropy of the state of the D frame system for the BTCUSD pair in the Kolmogorov probability space.
Profit Maxima: a crypto strategyThis strategy is designed for those who are looking for long-term positions with low risk and high profitability.
How does it work?
In short, the basis of this strategy is the frequent modeling of the price using regression equations and the estimation of the range of price movements.
The price modeling process starts from the first bars and will be repeated on each bar. This process is performed in each candle based on the data available up to that candle, and data for subsequent bars is not used.
There is also no fixed price model, but it will change from one candle to the next; Therefore, the more candles there are, the larger the statistical population and therefore the quality of the price model increases.
I have also used the concept of scarcity. Bitcoin is the first scarce digital object in the world. Once something becomes scarce enough, it can be used as money. This scarcity gradually increases and affects the price. The entire crypto market also follows Bitcoin.
However, always remember that past results in no way guarantee future performance.
Why this strategy generates a small number of trades?
Preston Pysh believed Bitcoin cycles happen in three phases: the Bull Run, the Correction, and the Reversion to the Mean. He estimates there are about 200,000 blocks per cycle and there are about 144 blocks per day.
Therefore, each cycle of Bitcoin lasts about four years. The entire crypto market follows bitcoin. On the other hand, cryptocurrency is a new phenomenon. They have a limited price history.
This strategy is designed to open a long position at the lowest possible price. In addition, due to the concept of scarcity and its continued impact on prices, trading in the “short” direction is avoided.
The combination of these factors leads to generate a small number of trades. However, you can test it on several different charts to make sure it works properly.
Default settings
{ default_qty_type } = strategy.percent_of_equity
{ default_qty_value } = 3.3
{ commission_value } = 0.1
{ pyramiding } = 3
{ close_entries_rule } = "ANY"
In a simple word, buy (Entry) and sell (take-profit) orders are each done at three different levels. At each level, 3.3% of equity is used (9.9% in total)
0.1% commission is considered for each transaction.
“close_entries_rule” determines the order in which orders are closed. The default is FIFO (first in, first out), but in this strategy, orders are executed in “first in, last out” order. In this way, the lowest buy (Entry) order corresponds to the lowest sell (take profit) order.
Choose the best chart
Charts have a significant impact on the performance of the strategy. As mentioned, the more historical bars there are, the larger the statistical population and therefore the quality of the price model increases.
You can use the Chart Quality panel to choose the appropriate chart:
The ‘Historical Bars’ field shows the number of candles in the chart. Choose the chart of an exchange that has the most historical bars.
The ‘Recommended Chart’ field shows the suggested chart for some symbols.
The “Predictability” field indicates to what extent price movements can be predicted using the model; the higher the “predictability”, the more credible the results of the strategy. "Predictability" indicates that the results of the strategy are reliable or not.
The image below shows the recommended chart for 20 different symbols:
How to use
You don't need automated trading platforms to use it. It can be used by placing simple buy and sell (take-profit) orders manually.
The green and red lines indicate the 'Entry' and 'Profit' levels respectively. If there is no order (buy / sell) active on one of these levels, it will be displayed in gray. The corresponding values are displayed in the Entry & Profit Limits table.
After choosing the appropriate chart, you can use this table to place your orders manually.
Note that trading in the "short" direction is not recommended at all.
Samples
3Commas DCA Backtester + TBO3Commas DCA bot users rejoice! Have you ever wanted to know how your 3Commas DCA bot would have performed with slightly different settings? Or a different deal start condition? Another safety trade? We've combined the logic of 3Commas DCA Bots with TradingView's powerful strategy backtester to FINALLY help 3Commas users backtest their bot settings.
There are several things to be aware of with this strategy:
There is no bot assistant in TradingView, so you'll have to enter in your funds for bot trading in the "Initial capital" section in the Properties tab of the settings.
Even though you can use simultaneous deals with this strategy, there is no way on TradingView to collectively backtest multiple trading pairs with a single instance of this strategy.
We have created all of the available deal start conditions natively available in 3Commas DCA Bots PLUS the TBO and its trigger symbols (Open Long, Close Long, Cross Up, Breakout, Open Short, Close Short, Cross Down, Breakdown). The strategy uses ASAP (as soon as possible) by default.
3Commas DCA Bots use a built-in AND logic for the deal start conditions, meaning that deals will only start when ALL deal start conditions are true. This logic is included in the strategy, however we also provided the option to use OR logic, which will trigger a deal if any of the selected deal start conditions have been met.
Use your own indicators by selecting the "external" option under deal start conditions.
Cooldown between deals cannot use seconds as this is a limitation in TradingView (the strategy will only run on the current timeframe you are viewing), so this has been changed to "next bar."
Customize your backtests in our look back section. Select a specific start and end date for your back test results.
Use the strategy to send alerts directly to your 3Commas bots by providing your bot ID numbers and your email token (found in the JSON code when viewing your bot's overall settings).
Some things to keep in mind while using the back tester:
Enable Buy & Hold Equity to compare your bot strategy and settings.
The back tester can't guarantee future results based on past performance.
Stop losses will result in poor performance. Take advantage of DCA strategy and use safety trades.
Settings for the strategy shown are:
Bot type: Long
Take Profit type: % Quote
Base order: 25
Safety order: 50
Deal Start Conditions:
Custom - OR
TBO Breakout
15m Strong Buy
1h Strong Buy
4h Strong Buy
Target Profit: 4
Max Active Safety Trades: 2
Price deviation in %: 8
Safety order volume scale: 2
Safety order step scale: 2
Simultaneous deals per same pair: 3
Lookback:
2020-05-11
9999-01-01
Combo Backtest 123 Reversal & TEMA1This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This study plots the TEMA1 indicator. TEMA1 ia s triple MA (Moving Average),
and is calculated as 3*MA - (3*MA(MA)) + (MA(MA(MA)))
WARNING:
- For purpose educate only
- This script to change bars colors.
