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.
지수 이동 평균 (EMA)
CCI + EMA with RSI Cross StrategyThis strategy uses the CCI + 2 RSIs + 2 EMAs to generate trade signals. Trades are only taken during the normal trading session and all open trades are closed 15 min before the close of the current session. A trailing stop loss is used and is customizable.
Not trading advice, use at your own risk.
Hulk Strategy x35 Leverage 5m chart w/Alerts This strategy is a pullback strategy that utilizes 2 EMAs as a way of identifying trend, MACD as an entry signal, and RSI and ADX to filter bad trades. By using the confirmation of all of these indicators the strategy attempts to catch pullbacks, and it is optimized to wait for high probability setups. Take not that the strategy is optimized for use on BTCUSDT along with 35 times leverage(Using leverage is risky). The Hulk Strategy waits for strong trend confirmation and then attempts to identify pullbacks using MACD and RSI. By using these it identifies strong short term movement against the trend(hence the name Hulk). To use the strategy wait for the strategy to make an entry, and then enter with a stop loss of 1.1% and a take profit of 1.35% with respect to if it is a long or short position. The trade frequency of this strategy is high as it is made for use on the 5m timeframe. But this does not mean you will have to be staring at your computer constantly as an average of 1 trade takes place each day. This will vary a lot though, somedays the strategy enters up to 4 times. I wish you good trading and hope that you like this strategy!
P.S. The indicators on my chart are visualizations of the indicators used in the strategy, they are not necessary for the strategy to work though. Also the colored in cloud on the price chart is an EMA cloud and it comes with the strategy when you add it to your chart. This EMA cloud consists of two EMAs a 50 and a 200 EMA.
HARSI - The WHALE v2This strategy is credited to the "Heikin Ashi RSI Oscillator" By JayRogers.
The core of this strategy is "Heikin Ashi RSI Oscillator (HARSI)" By JayRogers, with multiple confirmation indicators. The buy signal is generated by HARSI when there is green HA, and there is a positive stochastic cross under the line OB line.
To confirm the buys signal, you can use one or all of the following:
- EMA: the buy confirmation is positive if the candle closes above the EMA.
- Volume Oscillator: the buy confirmation is positive if the volume value is above the zero line.
- ADX: the buy confirmation is positive if the D+ is above the D- and the D+ is above the threshold level.
- Vortex: the buy confirmation is positive if VI+ is above VI-.
You can enable the take profit, trailing stop loss (TSL), and stop lose (SL), if not, then the strategy will give a sell signal by itself when there is a negative stochastic cross above OB Extreme line.
Note, that the TSL arming value should be lower than the TSL %.
The strategy can give a different result based on your selection. However, the best timeframe is 4 hours without TP.
Uptrend and Oversold Index Swing Trading System 8H--- Foreword ---
The Overbought and Oversold Index Swing Trading System or short: I11L Hypertrend primarily uses money management Strategies, EMA and SMA and my momentum Ideas for trying to produce satisfactory Alpha over a timespan of multiple years.
--- How does it Work? ---
It uses 20 different EMA's and SMA's to produce a score for each Bar.
It will credit one Point If the EMA is above the SMA.
A high score means that there is a strong Uptrend.
Spotting the strong Uptrend early is important.
The I11L Hypertrend System trys to spot the "UPTREND" by checking for a crossover of the Score(EMA) / Score(SMA).
A low score means that there is a strong Downtrend.
Its quite common to see a reversal to the mean after a Downtrend and spotting the bottom is important.
The System trys to spot the reversal, or "OVERSOLD" state by a crossunder of the Score(EMA) / Score(SMA).
--- What can i customize? ---
-> Trading Mode: You can choose between two different trading modes, Oversold and Overbought(trend) and Random Buys to check if your systems Profitfactor is actually better then market.
-> Work with the total equity: The system uses the initial capital per default for Backtesting purposes but seeing the maximum drawdown in a compounding mode might help!
-> Use a trailing SL: A TSL trys to not lose too much if the trade goes against your TP
-> Lookbackdistance for the Score: A higher Lookbackdistance results in a more lagging indicator. You have to find the balance between the confirmation of the Signal and the frontrunning.
-> Leverage: To see how your strategie and your maximum Drawdown with the total equity mode enabled would have performed.
-> Risk Capital per Trade unleveraged: How much the underlying asset can go against your position before the TSL hits, or the SL if no TSL is set.
-> TPFactor: Your risk/reward Ratio. If you risk 3% and you set the ratio to 1.2, you will have a TP at 3 * 1.2 = 3.6%
-> Select Date: Works best in the 8H Timeframe for CFD's. Good for getting a sense of what overfitting actually means and how easy one can fool themself, find the highest Profitfactor setting in the first Sector (Start - 2012) and then see if the second Sector (2012 - Now) produces Alpha over the Random Buy mode.
--- I have some questions about the System ---
Dear reader, please ask the question in the comment Section and i will do my best to assist you.
MACD Strategy [Trading Nerd]This Strategy uses a EMA as a trend filter and MACD for entries. The stoploss can be calculated by the last highs/lows or by the ATR.
Entry Conditions
Long:
close price must be above the EMA
MACD-Line crossover MACD-Signal-Line
MACD-Signal- Line mus be below 0
Short:
close price must be below the EMA
MACD-Line crossunder MACD-Signal-Line
MACD-Signal- Line mus be above 0
Exit Conditions
The Stoploss can be set in two different ways:
1. By the calculated ATR value of the entry Candle. This Value can be multiplied with the ATR multiplier for SL .
For Longs: SL = entry Price - ATR * ATR-multiplier
For Shorts: SL = entry Price + ATR * ATR-multiplier
2. By the previous highest high or lowest low (also called Donchain Channels). The lookback length can be changed in the at Lookback length for HH/LL SL .
For Longs: SL = LL of the last X candles
For Shorts: SL = HH of the last X candles
Take Profit
The TP is calculated by the Risk * Risk Reward Ratio . The Risk Reward Ratio can be changed in the Settings. The Risk is the difference of entry price and stoploss price: Risk = absolute(entry price - stoploss price)
For Longs: TP = entry Price + Risk * Risk Reward Ratio.
For Shorts: TP = entry Price - Risk * Risk Reward Ratio.
Risk Management
You can set the Risk % per Trade in the settings. A Value of 2 means that the position size is calculated in a way that at a loosing trade the strategy will only loose 2% of the current capital (initial capital + net profit).
E.g.: The current capital is $1000 and a trade hits the SL. The strategy will only loose $20.
Info for Alerts: Alert message conversion of JSON Strings. You don't need to add any or \" to the alert String.
When you create the Alert the Message must be: {{strategy.order.alert_message}}
EMA Cloud Intraday Strategy********NOT TRADING ADVICE - USE AT YOUR OWN RISK - TRADING IS RISKY - DO NOT BLINDLY FOLLOW THE SIGNALS FROM THIS STRATEGY********
This strategy utilizes the 9 and 20 period exponential moving averages to create a colored cloud between similar to what is seen on the Ichimoku Cloud. The strategy closes all trades by the end of the trading day. Entry is when the price closes above a Green (9 EMA above 20 EMA) cloud or below a Red (9 EMA below 20 EMA) cloud. Exit is when price closes against the 9 EMA or at the end of the trading day. Running the strategy tester on different intraday time frames will show the best time frame for a given Symbol. For example, I have found that the best results are returned by this strategy for SPY on the 30 minute time frame.
********NOT TRADING ADVICE - USE AT YOUR OWN RISK - TRADING IS RISKY - DO NOT BLINDLY FOLLOW THE SIGNALS FROM THIS STRATEGY********
Perfect OrderEntry Point
How to Entry
Perfect Order Entry
SMA5,13,21 & EMA75,90,200
Please enjoy your entry
EMA StratIf previous day close above EMA, enter long at open the following day. Exit long position if prices close below EMA.
EDMA Scalping Strategy (Exponentially Deviating Moving Average)This strategy uses crossover of Exponentially Deviating Moving Average (MZ EDMA ) along with Exponential Moving Average for trades entry/exits. Exponentially Deviating Moving Average (MZ EDMA ) is derived from Exponential Moving Average to predict better exit in top reversal case.
EDMA Philosophy
EDMA is calculated in following steps:
In first step, Exponentially expanding moving line is calculated with same code as of EMA but with different smoothness (1 instead of 2).
In 2nd step, Exponentially contracting moving line is calculated using 1st calculated line as source input and also using same code as of EMA but with different smoothness (1 instead of 2).
In 3rd step, Hull Moving Average with 2/3 of EDMA length is calculated using final line as source input. This final HMA will be equal to Exponentially Deviating Moving Average.
EDMA Defaults
Currently default EDMA and EMA length is set to 20 period which I've found better for higher timeframes but this can be adjusted according to user's timeframe. I would soon add Multi Timeframe option in script too. Chikou filter's period is set to 25.
Additional Features
EMA Band: EMA band is shown on chart to better visualize EMA cross with EDMA .
Dynamic Coloring: Chikou Filter library is used for derivation of dynamic coloring of EDMA and its band.
Trade Confirmation with Chikou Filter: Trend filteration from Chikou filter library is used as an option to enhance trades signals accuracy.
Strategy Default Test Settings
For backtesting purpose, following settings are used:
Initial capital=10000 USD
Default quantity value = 5 % of total capital
Commission value = 0.1 %
Pyramiding isn't included.
Backtesting data never assures that the same results would occur in future and also above settings use very less of total portfolio for trades, which in a way results less maximum drawdown along with less total profit on initial capital too. For example, increasing default quantity value will definity increase maximum drawdown value. The other way is also to use fix contracts in backtesting but it all depends on users general practice. Best option is to explore backtesting results with manually modified settings on different charts, before trusting them for other uses in future.
Usage and In-Detail Backtesting
This strategy has built-in option to enable trade confirmations with Chikou filter which will reduce the total number of trades increasing profit factor.
Symmetrically Weighted Moving Average (SWMA) on input source, may risk repainting in real-time data. Better option is to run a trade on bar close or simply left this optin unchecked.
I've set Chikou filter unchecked to increase number of trades (greater than 100) on higher timeframe (12H) and this can be changed according to your precision requirement and timeframe.
Timeframes lower than 4H usually have more noise. So its better to use higher EDMA and EMA length on lower timeframes which will decrease total number of offsetting trades increasing average total number of bars within a single trade.
Original "Exponentially Deviating Moving Average (MZ EDMA )" Indicator can be found here.
Trend Follower Strategy v2 [divonn1994]The Trend Follower Strategy that I made classifies red and green candles into tiny, small, and big sizes and will send buy or sell signals depending on if the candle is classified as "big" so you get into and out of a position when there is a big candle. Out during a big green candle to take profit. Out during a big red candle in case the market is turning down. It also won't enter a position unless there is positive EMA momentum.
For the chart there is a Buy and a Sell signal. Buy = 1, Sell = 0, and when the value crosses above or below 0.5 it will trigger a long position or close the long position. The graph isn't necessary to the strategy, but can help with visualizing the trade patterns in the past if you like.
This strategy works best so far with these coins at time of posting (March 4th, 2022):
KCSUSDT (621x profit), HTUSDT (45x profit), LUNAUSDT (45x profit), BNBBTC (1553x profit), ETHBTC (219x profit), KCSBTC (1222x profit), LUNABTC (83x profit), FTMBTC (52x profit).
It can work with other pairings, but I personally like these pairings best. I didn't test it with coins outside of the top 100 coins by market cap. Use it however you want.
Works best on 1 Day charts.
The strategy would rather be in the market than out. It gets out when it see's a red flag, but can immediately go back in in the next bar if the red flags are all gone. So it makes a lot of trades.
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Update: This is the same strategy I uploaded before but I made the code Open for anyone to check it out and so it has a similar description as the previous version. Let me know what you think. I'd remove the old version if I could, but I guess it's site policy to not be able to remove scripts that have been uploaded.
Trend Follower Strategy [divonn1994]The Trend Follower Strategy that I made classifies red and green candles into tiny, small, and big sizes and will send buy or sell signals depending on if the candle is classified as "big" so you get into and out of a position when there is a big candle. Out during a big green candle to take profit. Out during a big red candle in case the market is turning down. It also won't enter a position unless there is positive EMA momentum.
For the chart there is a Buy and a Sell signal. Buy = 1, Sell = 0, and when the value crosses above or below 0.5 it will trigger a long position or close the long postion. The graph isn't necessary to the strategy, but can help with visualizing the trade patterns in the past if you like.
This strategy works best so far with BNBUSDT, ETHUSDT, KCSUSDT, HTUSDT, BNBUSDT, BNBBTC, ETHBTC, KCSBTC, LUNABTC, SOLBTC, ADABTC, SANDBTC, HNTBTC, KDABTC.
It can work with other pairings, but these have the healthiest charts in my opinion, as in, the profit factor is high and is greater than a simple buy and hold strategy, and the largest drawdown isn't very high.
Works best on 1 Day charts.
STR:EMA Oscilator [Azzrael]Strategy based on EMA and EMA Oscilator
(EMA - close) + Std Dev + Factor = detecting oversell/overbuy
Long only!
Pyramiding - sometimes, depends on ...
There're 2 enter strategies in one script:
1 - Classic, buy on entering to OverSell zone (more profitable ~> 70%)
2 - Crazy, buy on entering to OverBuy zone (catching trend and pyramiding, more net profit)
Exit - crossing zero of (EMA - close)
sma RSI & sudden buy and sell Strategy v1This strategy uses mostly three things:-
1. average RSI (sma rsi over a period)
2. sudden buy and sudden sell (usually to infer the change in trend or direction)
3. various EMAs ( used as a filter)
I mostly build it to work on a 3min crypto chart but it should work on any timeframe or any symbol.
Settings - Length -RSI length (hardly needed to be changed but sometimes it doubles the net profit)(+/-2)
instant length - a sudden increase or decrease in the price calculated by the length of RSI (+/-10)
Bars - No of candles to verify before starting /closing the strategy (+/-20)
Lookbackno2 - another variable to verify ema opening/closing (hardly needed to change)
emas - values of different EMAs (you can change if you want but I don't recommend it though)
over40 and over60 - the value of overbuying and overselling(+/-10)
In future, I will probably add ADX or use machine learning to filter out results
It works well considering 0.05% commission per entry and exit (total of 1% per trade)
you can message me for any query or suggestions.
Jerry J5 Dashboard & Buy Sell Strategy
----- Strategy
The strategy allows you to select from multiple moving averages and uses the concave function and the price being above or below a user defined EMA to provide buy and sell signals. You can select long trades, short trades, or both.
Concavity describes the direction of the curve and how it bends. And, just like a direction the concavity of curves can change and we call these changing points (technically they are inflection points). These changing points are used in conjunction with the stock price relationship to user defined EMAs and provide buy and sell signals when the trend is changing.
Moving Averages available in this strategy are the Exponential Moving Average (EMA), Simple Moving Average (SMA), Weighted Moving Average (WMA), Hull Moving Average (HMA), and Arnaud Legoux Moving Average (ALMA). Best results are typically with HMA and ALMA.
The indicator can be used for every type of market: indices, stocks, cryptocurrencies, currencies and others.
----- 27 Data Point Dashboard
Short Term Trend
Total Trades
Profit Factor
Win Rate %
Net Profit $, % & ROI
Buy & Hold Profit
Max Win $ & %
Max Loss $ & %
Avg Trade $, ROI%, & Bars
Avg Win $, ROI%, & Bars
Avg Loss $, ROI%, & Bars
Max Drawdown $ & %
Open Trade P&L $ & ROI%
For the dashboard you are able to set the target profit factor, win rate, net profit target ROI, winning trade target ROI, Strategy Start Date, and the Buy and Hold Start Date. The inputs are used to color dashboard labels making it easier to identify winning and losing trades based on your criteria.
Option Traders will likely appreciate the ROI% and number of bars being readily available. For example if the Average Winning Trade has a 5% ROI over 5 bars this can help you decide when to enter a trade and how long to stay in the trade.
Some of the label data is available in the TradingView Strategy Tester. However, I wanted a custom dashboard that was always visible on my chart and the J5 dashboard displays a total of 27 data points plus buy and sell signals .
Note: We calculate the ROI for Net Profit, Avg Trade, Avg Win, Avg Loss, and Open Trade based on the capital used for those trade(s). TradingView uses a different method and calculates the return percentage based on initial capital.
Indicators are not a magic pill and should be used to support trading decisions, not to make them for you. Past performance is not a guarantee of future returns. The results of individual stocks with any strategy do not constitute proof they will repeat in the future.
I hope you enjoy the J5.
DISCLAIMER: The information contained in our scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. Trading and investing in the stock market and cryptocurrencies involves substantial risk of loss and is not suitable for every investor. I’m NOT a financial adviser. All trading strategies are used at your own risk.
Please Use the link below for more information.
Mix1 : Ema Cross + Trend Channel [Gu5] - BacktestBacktest of the indicator "Mix1: Ema Cross + Trend Channel "
Trend indicator, by the crossing of moving averages
SMA200 with a channel as a filter confirms the trend.
The crossing of two moving averages, give alert only in trend.
Stochastic & MAThis trading system comes from the experience of having a "fast" signal for entry at low prices (such as the stoscastic) and then "following" the stock with a "slower" indicator such as the exponential moving average. Both the input and output signals are filtered.
The use of the trading system only carries out long operations and has been tested on shares and ETFs, including indices, on daily bases (End Of Day).
ENTRY CONDITION: when stochastic's k is higher than d (on the default value of 21 periods) we enter the lower part of the oversold, to which we apply a filter or the confirmation that the closing of the day of the crossing is higher than that of the n -th previous bar (the 2nd previous bar recommended).
Other default settings are k = 6 and d = 4; the oversold level is also customizable (recommended = 25).
EXIT CONDITIONS: once the entry has "gone well", we follow the upward trend of the stock not with a stochastic oscillator - which tends to exit too soon, especially in case of strong trends - but with a simple moving average exponential (by default at 38 periods). Also in this case a filter is added, that is, k must be> to a filter threshold (recommended = 65) which is used to distinguish the decline between a "physiological" tracking. "(k drops" slowly "together with the approach of prices to the moving average) from a more" violent "tracking (prices are below the moving average and k consequently fall" suddenly ", in a few bars).
MONEY MANAGEMENT: 13% stop loss inserted (the physiological level of tracking of the shares is generally max 8-12% so we also consider a 1% margin due to trading). For more volatile stocks, the level can be extended to 20%.
LEVERAGE: the default value is equal to 1, but it is advisable, for simulations on shares, to use higher levers (x2, x3, ...) if you trade the relative CFD or on the index in case of buying and selling of Leveraged ETFs (e.g. LEVMIB which is 2x leveraged ETFs on Italian index).
Setup 9.1 Larry WilliamsThis Strategy was created according to Larry Williams 9.1 Setup. This is based on the Exponential Moving Average of 9 days. Although this might be used in any timeframe, it is most common on the Daily Timeframe.
I have developed this strategy to be used on both Long and Short Position, using the drop down list.
- Setup 9.1 (Lond Position)
It looks for tickers where the close is below EMA9. Once close gets above EMA9 we set this candle as 9.1. The entry point happens one tick above the 9.1 candle. The stop loss is set to be one tick below the lowest of this candle. The exit takes place once close is below EMA9
- Setup 9.1 (Short Position)
It looks for tickers where the close is above EMA9. Once Close gets below EMA9 we set this candle as 9.1. The entry point happens one tick below the 9.1 candle. The stop loss is set to be one tick above the highest of this candle. The exit takes place once close is above EMA9
To cut the noise and have a better trend direction on the EMA9, on both Long and Short, I used the code below for the setup.
setup91B = fastMA >fastMA and fastMA >fastMA and fastMA >fastMA and fastMA >fastMA and fastMA fastMA
setup91S = fastMA fastMA and close > fastMA and close < fastMA
If you have any questions, let me know !
Seer by EY84This is a strategy based on Exponential Moving Averages or Volume Weighted Moving Averages against Adaptive fib resistance / support level and profit percentage which can be definetly defined by user and targeting small profits(profits will be raised by leverages).
In this strategy, there are predefined values which are collected one by one with statistical background and backtests. This gives an advantage to see which ratios are working better for each symbol.
Also this statistics are re-evaluated monthly and if there is a need they are goging to be changed with the help of libraries. Also IT IS RECOMMENDED TO USE IN HOURLY INTERVAL GRAPHICS!!!!
When we deep dive to strategy, it is based on profit percentages. it is similar to the MOST system. MOST only changes the way with default value of %2. But this hardcoded strategy is not working well with each Symbol.
So this is the point where Statistics are involved.
For Ex. while BTC is suits well with %2, it does not do wonders for RSR or RUNE which is 4-5% for each.
Library stores these values as a predefined options. Also it is allowed to change these predefined values within the settings of this strategy.
what is next ? Lets see how are we closing the positions.
Script checks cross of EMA / VWMA and adFib to decide open a position. In reversal / crosses, adFib line had been set to defined Fib. Percentage level. This sets the Full Position close / SL value for current order.
OK! we got the SL but how we get the profit ?
Now this is the place where Profit Percentage (PP) parameter involved. After the position opened it is waiting for PP to be reached. After PP had been reached, close signal had been raised for the HALF of the OPEN ORDER (with the BAR CLOSURE!!).
so tricky part has come here. Remaining position is still open and when "total available profit with remaining amount" had been reached to PP it wil raise the Close Half signal will be raised.
what happens to the SL position ? TWO possible scenarios will be raised here.
Case 1. Reversal on the adFib (short-to-long or long-to-short) will trigger full close signal.
Case 2. If the level drops the previous signal system will generate full close signal again.
Example 1:
Long Order Open : 100$
Half Close Signal : 110$
Case 1: adFib Reversal occurs : 105$ ==> Triggers Full Close Signal with Short Order.
Case 2: Price falls : 100$ ==> Only Triggers Full Close Signal.
Example 2:
Long Order Open : 100$
Half Close Signal : 110$
2. Half Close Signal : 121$
Case 1: adFib Reversal occurs : 115$ ==> Triggers Full Close Signal with Short Order.
Case 2: Price falls : 110$ ==> Only Triggers Full Close Signal.
Beside of these, strategy is also includes editable 4 EMA, 1 WMA, 1 AVWAP and Bollinger Bands Plotting (2.5x Multiplier) who wants to use them as a supportive statistics.
All feedbacks are welcome.
ADX+BB %B+AO+EMA Strategy [PineMyths] #2Indicator List
ADX (14,14)
Bollinger Bands %B (20,close,2)
Awesome Oscillator
EMA(5), EMA(21), EMA(50), EMA(200)
Strategy Rules and Conditions
LONG Side
EMA(5) > EMA(21)
EMA(50) > EMA(200)
BB %B > 0.75
ADX > 15
Awesome Oscillator > 2
SHORT Side
EMA(5) < EMA(21)
EMA(50) < EMA(200)
BB %B < 0.25
ADX > 15
Awesome Oscillator < -2
Stop: Fixed %2
Take Profit: Fixed %1
SuperTrend+EMA Strategy [PineMyths] #1Indicator List
EMA(20) (Built-in)
SuperTrend(10,3) (Author: Kıvanç Özbilgiç)
Strategy Rules and Conditions
LONG Side
SuperTrend indicator is bullish (Green)
EMA(20) above SuperTrend
Bar open is above EMA(20)
Price touches EMA(20)
SHORT Side
SuperTrend indicator is bearish (Red)
EMA(20) below SuperTrend
Bar open is below EMA(20)
Price touches EMA(20)
Stop: SuperTrend indicator value that when the entry conditions are met
Take Profit: 2 x Risk
5min Williams Fractals scalping (3commas)Another strategy I'm learning Pine Script on. It is inspired by a MoneyZG youtube strategy called "Easy 5 Minute Scalping Strategy (Simple to Follow Scalping Trading Strategy)".
Again this is a one order per trade strategy compatible with the 3commas bot (works also with the free 3commas subscription). This strategy is based on the signals from Williams Fractals, taking the signals in reverse - red triangle indicates a bottom and hence we go long. The green triangle indicates a top so we go short. By default these signals are only accepted if they occur between the two Emas. However, you can also turn this off and when a WF signal comes in, only the current price has to be between the Emas. Stop loss is set to the current Ema slow and the take profit is a multiple of the distance to the slow ema.
Like previously I have added different filters as well as the ability to view essential things like the WF signal and Emas. I hope the script will help you to be more successful and if so it would be great if you could share here your setups, or tips on what would be good to refine to make it an even a more profitable strategy. Kind of a community approach so that we help each other out :).
Instructions for the 3commas connector:
1. First, you need to prepare 3commas Long/Short bots that will only listen to custom TV signals.
2. Inputs for the 3commas bot can be found at the end of the user inputs.
3. Once you have entered the required details into the inputs, turn on 3commas comments. They should appear on the chart (looks messy).
4. Now you can add the alert where you should paste the 3commas Webhook URL: 3commas.io
5. For the alert message text insert the placeholder {{strategy.order.comment}} and delete the rest.
6. Once the alert is saved, you can turn off those 3commas comments to have a clearer chart.
7. With a new alert, the bot and trade should launch.
In the near future I would like to publish more scripts that will carry similar elements as the first two, incl. compatibility with 3commas (I don't have access to another bot system). I will choose some strategies myself, but I will also be glad for some tips on what strategy would be good to do and is still missing here on Tradingview (short youtube videos or brief strategy manuals would be great).
Thanks and keep it up
PS: My screen values starting at Long Target Profit and ending at Pullback NOT greater than: 1.5; 1.5; 0; ON; 1; 2; OFF; 17; 36; ON; 0.05; ON; Chart; 14; 46; 50; 48.5; 51; OFF; 1; ON; 4; 2.
