Ichimoku Clouds Strategy Long and ShortOverview:
The Ichimoku Clouds Strategy leverages the Ichimoku Kinko Hyo technique to offer traders a range of innovative features, enhancing market analysis and trading efficiency. This strategy is distinct in its combination of standard methodology and advanced customization, making it suitable for both novice and experienced traders.
Unique Features:
Enhanced Interpretation: The strategy introduces weak, neutral, and strong bullish/bearish signals, enabling detailed interpretation of the Ichimoku cloud and direct chart plotting.
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Dual Trading Modes: Long and Short modes are available, allowing alignment with market trends.
Flexible Risk Management: Offers three styles in each mode, combining fixed risk management with dynamic indicator states for versatile trade management.
Indicator Line Plotting: Enables plotting of Ichimoku indicator lines on the chart for visual decision-making support.
Methodology:
The strategy utilizes the standard Ichimoku Kinko Hyo model, interpreting indicator values with settings adjustable through a user-friendly menu. This approach is enhanced by TradingView's built-in strategy tester for customization and market selection.
Risk Management:
Our approach to risk management is dynamic and indicator-centric. With data from the last year, we focus on dynamic indicator states interpretations to mitigate manual setting causing human factor biases. Users still have the option to set a fixed stop loss and/or take profit per position using the corresponding parameters in settings, aligning with their risk tolerance.
Backtest Results:
Operating window: Date range of backtests is 2023.01.01 - 2024.01.04. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Maximum Single Position Loss: -6.29%
Maximum Single Profit: 22.32%
Net Profit: +10 901.95 USDT (+109.02%)
Total Trades: 119 (51.26% profitability)
Profit Factor: 1.775
Maximum Accumulated Loss: 4 185.37 USDT (-22.87%)
Average Profit per Trade: 91.67 USDT (+0.7%)
Average Trade Duration: 56 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. Backtest is calculated using deep backtest option in TradingView built-in strategy tester
How to Use:
Add the script to favorites for easy access.
Apply to the desired chart and timeframe (optimal performance observed on the 1H chart, ForEx or cryptocurrency top-10 coins with quote asset USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
E-signal
Boftei's StrategyI wrote this strategy about a year ago, but decided to publish it just now. I have not been able to implement this strategy in the market. If you can, then I will be happy for you.
This strategy is based on my "Botvenko Script". (It finds the difference between the logarithms of closing prices from different days.) (Check this script in my profile)
Then the strategy makes trades when the "Botvenko Script" indicator crosses the levels set earlier and manually selected for each currency pair/shares: long/short opening/closing levels, long/short re-entry levels. (They are drawn with horizontal dotted lines.) The names of these lines are: buy/sell level, long/short retry - too low/high, long close up/down, dead - close the short. Manual selection of each of the parameters provides a qualitative entry of the strategy into the deal. However, without restraining mechanisms, the strategy enters into rather controversial deals. In order to avoid going long/short during bear/bull markets, which is unacceptable, I added a fan of EMA lines.
The fan consists of several EMA lines, which are set according to Fibonacci numbers (21, 55, 89, 144). If the lines in the fan are arranged in ascending order (ema_21>ema_55 and ema_55>ema_89 and ema_89>ema_144), then this indicates a bull market, during which I banned shorting. And vice versa: during the bear market (ema_21<ema_55 and ema_55<ema_89 and ema_89<ema_144) I banned long trading. If these two inequalities are not met, then this indicates that the market is flat, and during it it is allowed to enter any transactions, because a flat is a good moment to catch massive movements in the future by entering a transaction. (This is all visualized using semi-transparent thick lines of green, yellow and red colors.)
By default, all parameters are adjusted for the btc/usd (bitstamp) pair. Best of all, the strategy shows itself if 1 candle = 1 day.
At the time of writing, on the pair btcusd (bitstamp) (1d) with pyramiding = 1, the strategy shows a profit of 64728896%. If pyramiding is increased by 1, then the profit will be greater, but I still prefer pyramiding = 1.
There is a possibility that my strategy is doing complete nonsense. I don't vouch for her.
If you select parameters for other pairs of currencies/stocks, then you should not change anything in the fan of lines.
That's all, probably.
Davin's 10/200MA Pullback on SPY Strategy v2.0Strategy:
Using 10 and 200 Simple moving averages, we capitalize on price pullbacks on a general uptrend to scalp 1 - 5% rebounds. 200 MA is used as a general indicator for bullish sentiment, 10 MA is used to identify pullbacks in the short term for buy entries.
An optional bonus: market crash of 20% from 52 days high is regarded as a buy the dip signal.
An optional bonus: can choose to exit on MA crossovers using 200 MA as reference MA (etc. Hard stop on 50 cross 200)
Recommended Ticker: SPY 1D (I have so far tested on SPY and other big indexes only, other stocks appear to be too volatile to use the same short period SMA parameters effectively) + AAPL 4H
How it works:
Buy condition is when:
- Price closes above 200 SMA
- Price closes below 10 SMA
- Price dumps at least 20% (additional bonus contrarian buy the dip option)
Entry is on the next opening market day the day after the buy condition candle was fulfilled.
Sell Condition is when:
- Prices closes below 10 SMA
- Hard stop at 15% drawdown from entry price (adjustable parameter)
- Hard stop at medium term and long term MA crossovers (adjustable parameters)
So far this strategy has been pretty effective for me, feel free to try it out and let me know in the comments how you found :)
Feel free to suggest new strategy ideas for discussion and indicator building
VIPThis indicator is using the modified "SSS".
This strategy uses combined indicators to create LONG entry points, the strategy was first found by saudALThaidy.
How to use: Open your asset and pick a timeframe between 5min and 2hours (recommended: 30min, 45min), the strategy will give entry points itself, you can monitor and take profit manually(recommended), or you can use the exit setup.
exit setup:
Take Profit : close the trade and take profit after the specified percentage from the entry point gets hit.
Use Stop Percentage : if false, trade will be closed if it gets below MA line, if true it will use the next set up.
StopLose Percentage : specify a percentage to close the trade if the asset price goes below it.
Important Notes:
As saudALThaidy states that the strategy must be used with -heiken ashi- candles for the best result.
for best use of the strategy, use (Take Profit = 1,Use Stop Percentage=false) to get every trade, and take profit manually when ever you see the best.
For any notes on the strategy to be edited, or for another strategies ideas please comment.
No-lose trading targets (Based on EoRfA) By Mustafa ÖZVERI simulated the NLTTa_EoRfA indicator with the Bitcoin-USD
For details about the indicator, visit my profile on tradingview
For Simulation, with default settings, we order
When on Long setup and price on green area
- open a long position that closes on red area
When on Short setup and price on red area
- open a short position that closes on green area
And we got
- about 15% profit
But only this value can not guarantee good results for trading. BE CAREFUL
Jaws Mean Reversion [Strategy]This very simple strategy is an implementation of PJ Sutherlands' Jaws Mean reversion algorithm. It simply buys when a small moving average period (e.g. 2) is below
a longer moving average period (e.g. 5) by a certain percentage and closes when the small period average crosses over the longer moving average.
If you are going to use this, you may wish to apply this to a range of investment assets using a screener for setups, as the amount signals are low. Alternatively, you may wish to tweak the settings to provide more signals.
Context can be found here:
LINK
72s Strat: Backtesting Adaptive HMA+ pt.1This is a follow up to my previous publication of Adaptive HMA+ few months ago, as a mean to provide some kind of initial backtesting tools. Which can be use to explore many possible strategies, optimise its settings to better conform user's pair/tf, and hopefully able to help tweaking your general strategy.
If you haven't read the study or use the indicator, kindly go here first to get the overall idea.
The first strategy introduce in this backtest is one most basic already described in the study; buy/sell is when movement is there and everything is on the right side; When RSI has turned to other side, we can use it as exit point (if in profit of course, else just let it hit our TP/SL, why would we exit before profit). Also, base on RSI when we make entry, we can further differentiate type of signals. --Please check all comments in code directly where the signals , entries , and exits section are.
Second additional strategy to check; is when we also use second faster Adaptive HMA+ for exit. So this is like a double orders on a signal but with different exit-rule (/more on this on snapshots below). Alternatively, you can also work the code so to only use this type of exit.
There's also an additional feature which you can enable its visuals, the Distance Zone , is to help measuring price distance to our xHMA+. It's just a simple atr based envelope really, I already put the sample code in study's comment section, but better gonna update it there directly for non-coder too, after this.
In this sample I use Lot for order quantity size just because that's what I use on my broker. Also what few friends use while we forward-testing it since the study is published, so we also checked/compared each profit/loss report by real number. To use default or other unit of measurement, change the entry code accordingly.
If you change your order size, you should also change the commission in Properties Tab. My broker commission is 5 USD per order/lot, so in there with example order size 0.1 lot I put commission 0.5$ per order (I'll put 2.5$ for 0.5 lot, 10$ for 2 lot, and so on). Crypto usually has higher charge. --It is important that you should fill it base on your broker.
SETTINGS
I'm trying to keep it short. Please explore it further again. (Beginner should also first get acquaintance with terms use here.)
ORDERS:
Base Minimum Profit Before Exit:
The number is multiplier of ongoing ATR. Means that when basic exit condition is met, algo will check whether you're already in minimum profit or not, if not, let it still run to TP or SL, or until it meets subsequent exit condition, then it will check again.
Default Target Profit:
Multiplier of ATR at signal. If reached before any eligible exit condition is met, exit TP.
Base StopLoss Point:
You can change directly in code to use other like ATR Trailing SL, fix percent SL, or whatever. In the sample, 4 options provided.
Maximum StopLoss:
This is like a safety-net, that if at some point your chosen SL point from input above happens to be exceeding this maximum input that you can tolerate, then this max point is the one will be use as SL.
Activate 2nd order...:
The additional doubling of certain buy/sell with different exits as described above. If enable, you should also set pyramiding to at least: 2. If not, it does nothing.
ADAPTIVE HMA+ PERIOD
Many users already have their own settings for these. So in here I only sample the default as first presented in the study. Make it to your adaptive.
MARKET MOVEMENT
(1) Now you can check in realtime how much slope degree is best to define your specific pair/tf is out of congestion (yellow) area. And (2) also able to check directly what ATR lengths are more suitable defining your pair's volatility.
DISTANCE ZONE
Distance Multiplier. Each pair/tf has its own best distance zone (in xHMA+ perspective). The zone also determine whether a signal should appear or not. (Or what type of signal, if you wanna go more detail in constructing your strategy)
USAGE
(Provided you already have your own comfortable settings for minimum-maximum period of Adaptive HMA+. Best if you already have backtested it manually too and/or apply as an add-on to your working strategy)
1. In our experiences, first most important to define is both elements in the Market Movement Settings . These also tend to be persistent for whole season since it's kinda describing that pair/tf overall behaviour. Don't worry if you still get a low Profit Factor here, but by tweaking you should start to see positive changes in one of Max Drawdown and Net Profit, or Percent Profitable.
2. Afterwards, find your pair/tf Distance Zone . When optimising this, what we seek is just a "not to bad" equity curves to start forming. At least Max Drawdown should lessen more. Doesn't have to be great already, but should be better, no red in Net Profit.
3. Then go manage the "Trailing Minimum Profit", TP, SL, and max SL.
4. Repeat 1,2,3. 👻
5. Manage order size, commission, and/or enable double-order (need pyramiding) if you like. Check if your equity can handle max drawdown before margin call.
6. After getting an acceptable backtest result, go to List of Trades tab and find the biggest loss or when many sequencing loss in a row happened. Click on it to go to exact point on chart, observe why the signal failed and get at least general idea how it can be prevented . The rest is yours, you should know your pair/tf more than other.
You can also re-explore your minimum-maximum period for both Major and minor xHMA+.
Keep in mind that all numbers in Setting are conceptually in a form of range . You don't want to get superb equity curves but actually a "fragile" , means one can easily turn it to disaster just by changing only a fraction in one/two of the setting.
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If you just wanna test the strength of the indicator alone, you can disable "Use StopLoss" temporarily while optimising settings.
Using no SL might be tempting in overall result data in some cases, but NOTE: It is not recommended to not using SL, don't forget that we deliberately enter when it's in high volatility. If want to add flexibility or trading for long-term, just maximise your SL. ie.: chose SL Point>ATR only and set it maximum. (Check your max drawdown after this).
I think this is quite important specially for beginners, so here's an example; Hypothetically in below scenario, because of some settings, the buy order after the loss sell signal didn't appear. Let's say if our initial capital only 1000$ using leverage and order size 0,5 lot (risky position sizing already), moreover if this happens at the beginning of your trading season, that's half of account gone already in one trade . Your max SL should've made you exit after that pumping bar.
The Trailing Minimum Profit is actually look like this. Search in the code if you want to plot it. I just don't like too many lines on chart.
To maximise profit we can try enabling double-order. The only added rule coded is: RSI should rising when buy and falling when sell. 2nd signal will appears above or below default buy/sell signal. (Of course it's also prone to double-loss, re-check your max drawdown after. Profit factor play its part in here for a long run). Snapshot in comparison:
Two default sell signals on left closed at RSI exit, the additional sell signal closed later on when price crossover minor xHMA+. On buy side, price haven't met our minimum profit when first crossunder minor xHMA+. If later on we hit SL on this "+buy" signal, at least we already profited from default buy signal. You can also consider/treat this as multiple TP points.
For longer-term trading, what you need to maximise is the Minimum Profit , so it won't exit whenever an exit condition happened, it can happen several times before reaching minimum profit. Hopefully this snapshot can explain:
Notice in comparison default sell and buy signal now close in average after 3 days. What's best is when we also have confirmation from higher TF. It's like targeting higher TF by entering from smaller TF.
As also mention in the study, we can still experiment via original HMA by putting same value for minimum-maximum period setting. This is experimental EU 1H with Major xHMA+: 144-144, Flat market 13, Distance multiplier 3.6, with 2nd order activated.
Kiwi was a bit surprising for me. It's flat market is effectively below 6, with quite far distance zone of 3.5. Probably because I'm using big numbers in adaptive period.
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The result you see in strategy tester report below for EURUSD 15m is using just default settings you see in code, as follow:
0,1 lot for each order (which is the smallest allowed by my broker).
No pyramiding. Commission: 0.5 usd per order. Slippage: 3
Opening position is only using basic strategy #1 (RSI exit). Additional exit not activated.
Minimum Profit: 1. TP: 3.
SL use: Half-distance zone. Max SL: 4.5.
Major xHMA+: 172-233. minor xHMA+: 89-121
Distance Zone Multiplier: 2.7
RSI: Standard 14.
(From our forward-testing, the difference we get from net profit is because of the spread, our entry isn't exactly at the close/open price. Not so much though, but not the same. If somebody can direct me to any example where we can code our entry via current bid/ask price, that would be awesome!)
It's already a long post (sorry), think I'm gonna pause here. Check out the code :)
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DISCLAIMER: Past performance is no guarantee of future results , and so on.. you know the drill ;)
Please read whole description first before using, don't take 1-2 paragraph and claim it's the whole logic, you are responsible of your own actions and understanding.
DEMA Strategy with MACDThe Double Exponential Moving Average (DEMA) indicator was introduced in January 1994 by Patrick G. Mulloy, in an article in the "Technical Analysis of Stocks & Commodities" magazine: "Smoothing Data with Faster Moving Averages"
It attempts to remove the inherent lag associated to Moving Averages by placing more weight on recent values. The name suggests this is achieved by applying a double exponential smoothing which is not the case. The name double comes from the fact that the value of an EMA (Exponential Moving Average) is doubled. To keep it in line with the actual data and to remove the lag the value "EMA of EMA" is subtracted from the previously doubled ema.
DEMA is a very responsive system. A lot of signals can be generated only when trading with DEMA. In this strategy, I combined Dema buy-sell signals with MACD indicator. When you activate MACD confirmation from settings; When DEMA comes to long situation, the MACD histogram is checked to be positive.
Strategy Death To The Bear Simple strategy for the indicator "Death To The Bear".
Simple rules:
- Entry according to the selected weapons.
- Take profit 1 (TP1) in% of daily ATR (can be set, default 20%)
- Active Stop in Breakeven when I take profit in TP1.
- Take profit 2 (TP1) in% of daily ATR (can be set, default 30%)
* Pyramidization can be changed from the configuration (maximum number of tickets to average your price)
* Many do not like to pyramid, but I can assure you that with good management, and good choice of the instrument and time frame, you will get good money.
Note: at the request of some people who cannot see the EMOJI in the configuration you can choose TEXT.
Thumbs up
Expert studio strategy 1 - GBPUSDThis is part of a series of strategies developed automatically by a online software.
I cannot share the site url, which is not related to me in any way, because it is against the TV reules.
This strategy was optimized for GBPUSD, timeframe 1D, fixed lots 0.1, initial balance 1000€.
LOGIC:
- LONG ENTRY when previous candle is bear
- LONG EXIT: RVI > signal line
- SHORT ENTRY when previous candle is bull
- SHORT EXIT: RVI < signal line
NOTE: I considered the open of actual candle instead of close otherwise there will be a back shift of 1 candle in pine script
Take profit = no
Stop loss = no
I have also a study with alarms.
Please use comment section for any feedback.
Extreme ScalpingThis is a test of an easy scalping method: buy if actual close is below forecast close and sell if actual close is above forecast close. Take profit and stop loss shall be very small (few pips) as in most of scalping strategies.
No filter is used for only long or only short positions, but you can select buy only or sell only based on other indicators or whatever you feel is the direction of trading.
NOTE: you can add this strategy to your chart but you should modify the backtest day otherwise you will get an error due to calculation limits of pine script. For example, on one minute chart, you should set the backtest day from today only. For past days, set both start day and and day.
I have also a study with alarms.
Please use comment section for any feedback.
Buy&Sell Strategy depends on AO+Stoch+RSI+ATR by SerdarYILMAZThis strategy is just for training, its purpose is just learning code in pine script.
Don't make buy or sell decision with this strategy.
Turkish/Turkce
Bu strateji sadece pine script'te kodlamanın nasıl yapildigini ogrenmek icindir.
Bu stratejiye dayanarak, kesinlikle al-sat islemleri yapmayin.
How it works?
When RSI and Stoch are in oversold area and if awesome osc. turns positive, take long position. Stop loss and take profit levels were defined with ATR ind.
When RSI and Stoch are in overbought are and if awesome osc. turns negative, take short position. Stop loss and take profit levels were defined with ATR ind.
Turkish/Turkce
RSI ve Stoch asiri satım bölgesinde iken awesome pozitife döner ise long pozisyon açar, zarar kes ve kar al seviyeleri ATR indikatoru ile tanımlandı.
RSI ve Stoch asırı alım bölgesinde iken awesome negatife döner ise short pozisyon açar, zarar kes ve kar al seviyeleri ATR indikatoru ile tanımlandı.
STRATEGY AVERAGE MULTI_SMAThis strategy is based on my script "AVERAGE MULTI_SMA"
The strategy is based on the created media, giving BUY signal when the price closes above the average and the average is rising. For the SELL signal the price closes below the average with the average falling.
For those who are interested in how the "AVERAGE MULTI_SMA" script works, I ask you to analyze it there, because I explain how it works.
Please do not use the indicator as the only factor to do your operations, try to use more as a study.
____PTBR_____
Essa estrategia é baseada no meu script "AVERAGE MULTI_SMA"
A estrategia é baseada na media criada, para o sinal de compra(BUY) o preço fecha acima da média e a média está subindo. Para o sinal de venda(SELL) o preço fecha abaixo da média e a média caindo.
Para quem se interessar em saber como funciona o script "AVERAGE MULTI_SMA", peço que analise ele lá, pois explico como funciona.
Peço que não use o indicador como único fator para fazer suas operações, tente usar mais como um estudo.
Candlestick Signals StrategyThis strategy allows you to pick from 9 different candlestick patterns, and test them against historical data from your chart. You can get a good idea what patterns work best for each chart by turning each pattern on and off in the settings.
Renko Strategy Open_CloseSimple Renko strategy, very profitable. Thanks to vacalo69 for the idea.
Rules when the strategy opens order at market as follows:
- Buy when previous brick (-1) was bearish and previous brick (-2) was bearish too and actual brick close is bullish
- Sell when previous brick (-1) was bullish and previous brick (-2) was bullish too and actual brick close is bearish
Rules when the strategy send stop order are the same but this time a stop buy or stop sell is placed (better overall results).
Note that strategy open an order only after that condition is met, at the beginning of next candle, so the actual close is not the actual price.
Only input is the brick size multiplier for stop loss and take profit: SL and TP are placed at (brick size)x(multiplier) Or put it very high if you want startegy to close order on opposite signal.
Adjust brick size considering:
- Strategy works well if there are three or more consecutive bricks of same "color"
- Expected Profit
- Drawdown
- Time on trade
This strategy uses Renko charts with TRADITIONAL bricks, so no repaint.
Study with alerts, MT4 expert advisor and jforex automatic strategy are available at request.
Please use comment section for any feedback.
Rule Number 1 SignalsThis script takes the Rule #1 3 tools and plots them on the graph, to provide an additional level of indication for when to sell and when to buy.
MULTIPLE TIME-FRAME STRATEGY(TREND, MOMENTUM, ENTRY) Hey everyone, this is one strategy that I have found profitable over time. It is a multiple time frame strategy that utilizes 3 time-frames. Highest time-frame is the trend, medium time-frame is the momentum and short time-frame is the entry point.
Long Term:
- If closed candle is above entry then we are looking for longs, otherwise we are looking for shorts
Medium Term:
- If Stoch SmoothK is above or below SmoothK and the momentum matches long term trend then we look for entries.
Short Term:
- If a moving average crossover(long)/crossunder(short) occurs then place a trade in the direction of the trend.
Close Trade:
- Trade is closed when the Medium term SmoothK Crosses under/above SmoothD.
You can mess with the settings to get the best Profit Factor / Percent Profit that matches your plan.
Best of luck!
