Power Trend v1.0Background to the tool
The tool was built out of frustration. Having traded for many years with a reasonable level of success I was always frustrated that my trading never went up a level. The world of trading is filled with people having so much more success than me and this level of FOMO really bothered me and resulted in inconsistency and countless hours sitting in front of a screen, hoping for the best. I also became a little bit of an indicator junkie - was there a holy grail indicator out there for me? I always felt that as a retail trader I was behind the curve. I started to investigate how the major market participants trade and make money and I was astounded at the level of success that they get from creating strategies and sticking to it. The market is driven largely by a "black boxes" which, for us retail traders are outside of our ability to access. I wanted to build a tool that could give me a traders edge.
Another factor that has always bothered me was when reading investing books there is a general assumption that a standard entry, say 8/13 cross over, works on all stocks. However, it is not the case and it can be frustrating for a trader using a set up and not realizing that the set up was/is the problem, not the trader. This realization alone has made a huge impact on my trading. The big boxes that control the market know this already.
Also, a lot of indicators that are available don’t take advantage of the backtesting capability provided in Tradingview. It is fairly simple to find 8-9 trades where a set up worked and then fall into the trade of assuming that it cannot fail. Knowing which set ups work and how frequently it will print will change the way that you trade.
The goal with the tool is to identify setups that have worked in the past with a high degree of profitability, high profit factor and low drawdown and using the planning tool allows you to customize the setup to find exactly what you are looking for across any tradeable asset on TradingView.
Over the past 20 years I have realized the following:
1) Not all entries and signals work the same on all stocks and knowing the historical performance of a strategy is critical
2) Not having a plan in advance lowers your probability of success
3) Developing consistency in analysis is critical
4) Developing confidence in your own plan is more important than whose trades you try to copy
5) Having 30 indicators does not help you trade better - it leads to more frustration
So here is the product of these realisations:
1) The tool looks across the most common entry strategies (RMA / EMA / SMA / HMA / WMA cross on 5 dimensions of type and 5 common crossovers) and can be used on 19 different time frames giving you guidance on what the best set up is for the stock you are analysing
2) It incorporates volatility into the strategy – when stocks are trading outside of a predetermined volatility band, a trade will not be entered. This accommodates traders who tend to get shaken out of trades too early.
3) It looks at the impact of “buying the dip” – often a common strategy employed by many traders which now can be backtested and reviewed to see if it actually helped or hindered the trade.
4) It measures your trade plan against your R – what you are willing to risk – and calculates your target profit based on your R multiple
5) It provides a non repaint signal on your base strategy and provides you with signals to trade smaller or shorter signals within the bigger strategy.
There are some additional visual tools:
• Squeeze signals - I am a big fan of the TTM squeeze however the Squeeze by itself can be hard to trade. Seeing a squeeze fire long on a chart can add to trade confidence.
• Seeing zones of support and resistance rather than single lines can also give you some leeway in terms of not getting pushed out of a trade too soon.
The backtester is always reviewed on a multi year period to get an understanding of win rate %, profit ratio and average duration of trade. As an option trader knowing that a high probability move is playing out allows me to make sure that I don’t undercut the time frame for the expiration of the option relative to the historical average duration of a trade. Backtesting on shorter times is unrealistic.
Key benefits
1) It will save you a ton of time. I don’t have to sit in front of a screen watching ticks each day. I can plan for an entry, set an alert for a trade and when the conditions are met the TradingView system sends me a message and I will go and confirm a trade, execute it, set my alerts for control and move on with my life.
2) It allows me to review trade ideas in a consistent manner using the best trade plan and set up for a stock.
3) It forces me to be patient and not panic (always a good thing). With an adjustable volatility feature I can modify the volatility band in the trade plan to accommodate choppy market conditions.
4) It looks at both sides of the market (long and short) and you can calculate the impact of being market neutral or having a directional bias.
I hope this tool helps you to achieve some degree of peace in your trading.
Moving Averages
Gaussian Filter ModifiedAn effort to enhance auto-trading based on Gaussian Filter with Standard Deviation Filtering, Trading True Range and Smoothed SMA was added to remove noise contributing to ranging markets and unwanted entries against established trend.
Gaussian parameters need to be adjusted for different asset pair to find its own "signature", then filter out bad entry with TTR and SMA.
*Credits to Loxx for his work on Gaussian Filter
Multi Trend Cross Strategy TemplateToday I am sharing with the community trend cross strategy template that incorporates any combination of over 20 built in indicators. Some of these indicators are in the Pine library, and some have been custom coded and contributed over time by the beloved Pine Coder community. Identifying a trend cross is a common trend following strategy and a common custom-code request from the community. Using this template, users can now select from over 400 different potential trend combinations and setup alerts without any custom coding required. This Multi-Trend cross template has a very inclusive library of trend calculations/indicators built-in, and will plot any of the 20+ indicators/trends that you can select in the settings.
How it works : Simple trend cross strategies go long when the fast trend crosses over the slow trend, and/or go short when the fast trend crosses under the slow trend. Options for either trend direction are built-in to this strategy template. The script is also coded in a way that allows you to enable/modify pyramid settings and scale into a position over time after a trend has crossed.
Use cases : These types of strategies can reduce the volatility of returns and can help avoid large market downswings. For instance, those running a longer term trend-cross strategy may have not realized half the down swing of the bear markets or crashes in 02', 08', 20', etc. However, in other years, they may have exited the market from time to time at unfavorable points that didn't end up being a down turn, or at times the market was ranging sideways. Some also use them to reduce volatility and then add leverage to attempt to beat buy/hold of the underlying asset within an acceptable drawdown threshold.
Special thanks to @Duyck, @everget, @KivancOzbilgic and @LazyBear for coding and contributing earlier versions of some of these custom indicators in Pine.
This script incorporates all of the following indicators. Each of them can be selected and modified from within the indicator settings:
ALMA - Arnaud Legoux Moving Average
DEMA - Double Exponential Moving Average
DSMA - Deviation Scaled Moving Average - Contributed by Everget
EMA - Exponential Moving Average
HMA - Hull Moving Average
JMA - Jurik Moving Average - Contributed by Everget
KAMA - Kaufman's Adaptive Moving Average - Contributed by Everget
LSMA - Linear Regression , Least Squares Moving Average
RMA - Relative Moving Average
SMA - Simple Moving Average
SMMA - Smoothed Moving Average
Price Source - Plotted based on source selection
TEMA - Triple Exponential Moving Average
TMA - Triangular Moving Average
VAMA - Volume Adjusted Moving Average - Contributed by Duyck
VIDYA - Variable Index Dynamic Average - Contributed by KivancOzbilgic
VMA - Variable Moving Average - Contributed by LazyBear
VWMA - Volume Weighted Moving Average
WMA - Weighted Moving Average
WWMA - Welles Wilder's Moving Average
ZLEMA - Zero Lag Exponential Moving Average - Contributed by KivancOzbilgic
Disclaimer : This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Strategy Based on Percent of Stocks Above/Below Key MovingThis Strategy looks to buy the market after the percentage of stocks below the 20 SMA moving average drops below 30% and crosses back above it. The strategy outperforms buy and hold on the S&P and more importantly only has a max draw down of 11% which gives it a much better risk adjusted performance then buy and hold alone.
It has three sell rules, 1. When the same indicator crosses into overbought territory. 2. Index Closes below the 200 SMA. 3. Stop Loss is triggered (default is Trailing stop loss).
The indicator used can be found here :
The Strategy has been coded so that all the variables can be adjusted so you can tweak it to get the best performance to whatever market you like. I have hard coded the best variables I could find to trade the AMEX:SPY .
You can track market breadth on the following markets :
Market Tickers Available = SP500 , DJI, NQ, NQ100, R2000, R3000, SP500 Financials, SP500 Materials, SP500 Energy, SP500 Staples, SP500 Discretionary, SP500 Industrials , SP500 Real Estates, Overall Market
The strategy can be used on any of these moving averages : 20, 50, 100, 150, 200
You can adjust the greed and fear levels to change when the strategy takes trades at Overbought and Oversold Levels
Stop Loss
Two Stop losses are available a fixed stop loss based on an ATR value or a trailing % Stop Loss
Regime Filters
Two Regime filters are available:
1. a simple moving average (Strategy wont take trades under the 200 SMA)
2. Advance/Decline Filter Details can be found here:
Date Filter
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이".
"코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe.
### Entry Logic
1. Long Entry Logic
- Super Trend Short -> Long
- close > SSL Hybrid baseline upper k
- QQE MOD should be blue
2. Short Entry Logic
- Super Trend Long -> Short
- close < SSL Hybrid baseline lower k
- QQE MOD should be red
### Exit Logic
1. Long Exit Logic
- Super Trend Long -> Short
2. Short Entry Logic
- Super Trend Short -> Long
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ True but not a 'perfect true'.
→ It did made a small profit on 15 minute timeframe. But it made a profit so it's true.
→ It worked well in longer timeframe. I think super trend works well so I will work on this further.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ Crypto like BTC, ETH was ok.
→ The result was better when I use EMA filter.
### Robust?
→ Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable).
→ Also, MDD was good under risk management option on.
**********************************************************************************
*** Conclusion?
→ I recommend you not to use this on short timeframe as the youtuber first mentioned.
→ In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
LarryWillians - Simple StrategyA simple and classic strategy on market, created by LarryWillians using a EMA9.
The brute model use a Cross from closing price on EMA9. But occurs many false entries.
In other to correct this kind of thing, I add a SMA21 to confirm the trend and decrease numbers of false trades.
The strategy waits to break the last High (for buy) a position.
As a strategy requires a Risk Mannager, I created a simple way to trailing this, as well a Take Proft and Stop Loss in %.
Is not the best strategy but, is one of the most famous on financial markets. I did my adaptive version as simples as it is :)
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
Trend #4 - ATR+EMA channelOverview:
This strategy use ATR to take-profit, Red-EMA to stop-loss, Blue-EMA channel to judgment breakout.
This strategy use commission setting is 0.05%, slippage setting is 2 ticks, you can set the appropriate value size in the properties page.
What it does:
This strategy detects when a trend is emerging and buy or sell.
How it does it:
When the price breaks through the blue EMA channel, the trend is judged to be strong in the short term, strategy generates a buy or sell order.
After buying or selling,, if the price moves in the expected direction, uses ATR to determine the appropriate spread to take profit, otherwise use red EMA for stop loss.
How to use it:
Start Date and Stop Date - This parameter adjusts the time range used by the strategy.
Stoploss - This parameter adjusts the stop loss amount after each order is placed.
Blue EMA length - This parameter adjusts the length of the channel.
Blue EMA multy - This parameter adjusts the width of the top and bottom of the channel.
ATR Period - This parameter adjusts the number of candles used by the ATR.
ATR mult - This parameter adjusts the upper and lower widths of the ATR. Lowering this parameter can improve the win rate, but not necessarily the profitability.
Red EMA length - This parameter adjusts the number of candles used by the red EMA .
Long - This switch is used to turn Long position on or off.
Short - This switch is used to turn short position on or off.
Trend Follower Intraday [ Adjustable TF ]Trend Follower Intraday for 3 minute Time-Frame (Adjustable) , that has the time condition for Indian Markets as well.
Unlike the Free Scripts - Risk Management , Position Sizing , Partial Exit etc. are also included .
Send us a Message to know more about the strategy.
// ══════════════════════════════════════════════════════════════════════════ //
The Timing can be changed to fit other markets, scroll down to "TIME CONDITION" to know more.
The commission is also included in the strategy .
The basic idea is when ,
1) EMA1 crosses above EMA2 , is a Long condition .
2) EMA1 crosses below EMA2 , is a Short condition .
3) Green Section indicates Long position.
4) Red Section indicates Short position.
5) Allowed hours specifies the trade entry timing.
6) ATR STOP is the stop-loss value on chart , can be adjusted in INPUTS.
7) Target 1 is the 1st target value on chart , can be adjusted in INPUTS.
8) RISK is Maximum Risk per trade for the intraday trade can be changed .
9) Total Capital used can be adjusted under INPUTS.
10) ATR TRAIL is used for trailing after entry, as mentioned in the inputs below.
11) Check trades under the list of trades .
12) Trade only in liquid stocks .
13) Risk only 1-5% of total capital.
14) Inputs can be changed for better back-test results, but also manually check the trades before setting alerts
15) SQUARE OFF TIME - As you change the time frame , also change the square-off time to the candle's closing time.
Eg: For 3min Time-frame , Hour = 2Hrs | Minute = 57min
16) Strategy stops for the day if you have a loss .
17) COMMISSION value is set to 20Rs and SLIPPAGE value is set to 2 . Go to properties to change it .
*The input values and the results are mentioned under "BACKTEST RESULTS" below*
// ══════════════════════════════ //
// ————————> RISK MANAGEMENT <——————— //
// ══════════════════════════════ //
Risk management is done based on max loss per trade and can be adjusted in the INPUTS.
// ═══════════════════════════ //
// ————————> POSITION SIZE <——————— //
// ═══════════════════════════ //
Quantity of each trade is different based on the loss
// ═════════════════════════ //
// ————————> PROPERTIES <——————— //
// ═════════════════════════ //
COMMISSION , SLIPPAGE ,RECALCULATE is already mentioned in the code.
COMMISSION can be charges , based on the broker charges.
// ═══════════════════════════════//
// ————————> TIME CONDITION <————————— //
// ═══════════════════════════════//
The time can be changed in the INPUT.
The Indian Markets open at 9:15am and closes at 3:30pm.
The 'Allowed hours' under Inputs specifies the time at which Entries should happen .
"Close All" function closes all the trades before 3pm , at the open of the next candle.
To change the time to close all trades , check INPUT.
All open trades get closed by 3pm , because some brokers don't allow you to place fresh intraday orders after 3pm .
// ═══════════════════════════════════════════════ //
// ————————> BACKTEST RESULTS ( 123 CLOSED TRADES ) <————————— //
// ═══════════════════════════════════════════════ //
INPUTS can be changed for better Back-Test results.
The strategy applied to NSE:JSWENERGY (3 min Time-Frame and with a capital of 3,00,000 ) gives us 81% profitability , as shown below
It was tested for a period a 6 months with a Profit Factor of 1.957 ,net Profit of 43,000Rs .
Sharpe Ratio = 0.745
Sortino Ratio = 2.091
No strategy in the world promises 100% profits in all market conditions , so always define your risk before trading.
Also check Back-Test results manually ,before setting Alerts
The Graph has a Linear Curve with Consistent Profits.
The INPUTS are as follows,
1) EMA1 ————————————————> 38
2) EMA2 ————————————————> 118
3) ALLOWED HRS ———————————> 9:35 TO 14:30
4) ATR STOP ——————————————> 3.2
5) RISK ——————————————————> 3000
6) ATR TRAIL ———————————————> 2.6
7) TARGET 1 ————————————————> 2.4
8) MAX POSITION VALUE ——————————> 3,00,000
8) MAX DRAWDOWN —————————————> 9,000
8) SQUARE-OFF ————————————————> 14:57
NSE:JSWENERGY
Apply it to your charts Now !
NSE:JSWENERGY
Send us a message for FREE TRIALS | Instant Access
Thank You ☺
WilliamTrendFollower StrategyThis strategy is based on signals from the WilliamTrendFollower indicator.
You can optimize the parameters of this strategy as you wish. I hope you get the most accurate result.
About WilliamTrendFollower:
With this indicator, we try to catch the trends in price. With continued use of this indicator, we expect it to eventually escape horizontal positions and catch up with continuous trends.
Combined with the WilliamsR indicator and the exponential moving average indicator.
The WilliamsR Fisher Transforms are combined with the ATR indicator to create a line that lags behind the moving average value.
Since it is a tracking indicator, we created a line that is more connected to the price and itself.
In this way, a curve close to the price line is obtained in uptrends and downtrends.
In this indicator, if you choose the parameters correctly, you can easily bypass the horizontal positions. This gives you a safe visualization of support and resistance points as well.
From the settings of these indicators, you can set the multiplier and the exponential moving average period.
It works in all time intervals.
But it was calculated without volume , instead it was created using fisher transforms, moving averages, and the average true range .
TradeIQ - Crazy Scalping Trading Strategy [Kaspricci]This strategy script is a combination of two indicators developed by LuxAlgo:
Triangular Momentum Oscillator & Real Time Divergences ( TMO )
Adjustable MA & Alternating Extremities (AMA)
The script combines the BUY and SELL signals from the TMO indicator with the BUY and SELL extremities shown by the AMA script and waits for the smoothed candles to grow in size. It places a SHORT or LONG order and sets a stop loss at the latest swing high or low (highes high or lowest low for a defined number of recent bars). A new LONG trade is highlighted by a green background. A new SHORT trade is highlighted by red background.
The trades will be closed once a new TMO indicator BUY or SELL signal appears or the color of the AMA extremities is switching from green to red and vice versa.
All parameters of TOM and AMA indicators are added as well and work the same way as in the original scripts provided by LuxAlgo.
The idea to combine these two indicators has been provided to me by TradIQ in his youtube video.
Please leave a comment in case you find a bug. In case you find a combination of parameters with a high win rat and high PnL I would be interested as well.
Catching the Bottom (by Coinrule)This script utilises the RSI and EMA indicators to enter and close the trade.
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
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 simple moving average (SMA), which applies an equal weight to all observations in the period.
The strategy enters and exits the trade based on the following conditions.
ENTRY
RSI has a decrease of 3.
RSI <40.
EMA100 has crossed above the EMA50.
EXIT
RSI is greater than 65.
EMA9 has crossed above EMA50.
This strategy is back tested from 1 April 2022 to simulate how the strategy would work in a bear market and provides good returns.
Pairs that produce very strong results include ETH on the 5m timeframe, BNB on 5m timeframe, XRP on the 45m timeframe, MATIC on the 30m timeframe and MATIC on the 2H timeframe.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Trailing Stop SnippetThis is an example snippet that should allow for adding a trailing stop and trailing stop activation to almost any script.
You can use it by setting a trailing stop alone. This will provide you standard trailing stop functionality allowing you to lock in profits and increase your stop-loss as the price moves in your direction.
You can also set the trailing stop activation to trigger the original trailing stop at a certain level. "Once price rises 5%, set a trailing stop at break even". This would be set as 5 and 5 in the settings.
Altered OBV On MACDHere is another strategy along with an indicator that is already published for everyone to use wisely in the tradingview platform. The strategy is not very planned to highlight where to enter and when to exit as it is just a system. So, it is always good practice to follow the signal of simple moving averages and that is the reason you could find those color lines in this strategy as well.
As the indicator signals the entry point, it is wise to decide what the SMA (21, 50, 90, 200) signals us. When the price oscillated around the higher timeframe of moving averages, then it is wise to wait before entering.
OBV:
The OBV is perfect indicator to understand the strength of the particular stock. As the strength increase, the trend of the stock goes high along with price. But, the OBV is considered only with close of previous close which is to make sure the double confirmation on the price to accumulate the volume .
Altered OBV:
So, here is the altered OBV, which basically consider the close of previous close and also buying interested of the day when close is higher than open.
MACD:
I always admire the magic of MACD with pre-defined timeframe. Now, this MACD applied on top of altered OBV to signal us the moving of the ticker strength.
Long:
The long entry occurs when the MACD on Altered OBV signal bullish and the same time the MACD on close already bullish.
Short
The short denotes when the MACD on Altered OBV signal bearish and at the same time the MACD on close already bearish.
I hope this would help on your swing trading strategy.
Happy Investing.
[DuDu95] SSL 4C MACD Laugerre RSI StrategyHello Guys! Nice to meet you all!
Before I start, my nickname has changed to 'DuDu95'!!
This is the Strategy introduced by youtube channel.
I made this based on the open source indicator by kevinmck100, vkno422, KivancOzbilgic. Thank you All!
### Entry Logic
1. Long Entry Logic
- close > SSL Hybrid baseline upper k (keltner channel)
- macd signal > 0 and current MACD value > previous MACD value
- Laguerre RSI < overbought Line.
2. short Entry Logic
- close < SSL Hybrid baseline lower k (keltner channel)
- macd signal < 0 and current MACD value < previous MACD value
- Laguerre RSI > overbought Line.
### Exit Logic
1. Long Exit Logic
- close < SSL Hybrid baseline lower k (keltner channel)
- macd signal < 0
2. short Entry Logic
- close > SSL Hybrid baseline upper k (keltner channel)
- macd signal > 0
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
EMA + Williams Fractal Pullback [Trading Nerd]EMA Pullback Strategy with Williams Fractal Indicator
Backtesting script that searches for trends (long and short) and a following pullback into the EMAs. It enters on the first Williams Fractal in the desired direction. I found the Strategy on YouTube as a "M1 Scalping Strategy for Bitcoin".
Including fees the strategy is not profitalbe in lower timeframes (at least if not optimized). But it seems to work on higher timeframes as a swing traiding strategy.
Strategy Conditions
Longs:
EMA 1 > EMA 2 and EMA 2 > EMA 3
Number of need to be above the EMA 1
Then a Pullback into the EMAs is required
Enter on the first bullish Williams Fractal
Signal is canceled if the price closes below the EMA 3
Shorts:
EMA 1 < EMA 2 and EMA 2 < EMA 3
Number of need to be below the EMA 1
Then a Pullback into the EMAs is required
Enter on the first bearish Williams Fractal
Singal is canceled if the price closes above the EMA 3
Take Profit
A Risk Reward Take Profit is possible. If you want to use only a trailing Stop Loss, you can set the Take Profit to 'None'
Stop Loss
The default Stop Loss is EMA. If the Pullback has not reached the EMA 2, the Stop Loss is set to the EMA 2. If the Pullback has reached the EMA 2, the Stop Loss is set to the EMA 3.
Other Stop Loss types are available: ATR, HH/LL
Trailing Stop Loss
Available trailing Stop Loss types: ATR, HH/LL. Best practice is to also set the Stop Loss type to the same value.
The Stop Loss is updated if the value from the latest closed candle is greater/less than the previous value for a long/short trade.
Additional
Time Filter: Only opens trade in the defined Session. Open trades are still being closed outside of the Session.
Start Date/End Date: Limits the backtest for the defined Date Range
Trading Days: Only open Trades on the checked Days
Risk % per Trade: If enabled the Strategy uses X% of the capital (defined in Settings -> Properties -> Initial Capital)
Use Compound Interest: If enabled Capital is recalculated for every trade (initial capital + net Profit)
IMPORTANT: For low Timeframes and Markets with tight SL (like Forex) it requires a lower Margin Percent than default. Go to Settings->Properties and lower the required Long/Short Margin. Otherwise Trades might not be considered because of too less capital/marign. Margins can e.g. set to: 2% (Forex), 10% (Stocks), 20% (Crypto).
[fpemehd] Strategy TemplateHello Guys! Nice to meet you all!
This is my fourth script!
This is the Strategy Template for traders who wants to make their own strategy.
I made this based on the open source strategies by jason5480, kevinmck100, myncrypto. Thank you All!
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
[2022] MACD Cross Strategy (version 1)Early workings of a macd crossover. User inputs, strategy parameters, use on forex, crypto, stocks, etc,..
EMA Slope AyEWe create our own indicator to calculate the slope of a 20 period EMA over the last candle.
EMA Slope AyEWe create our own indicator to calculate the slope of a 50 period EMA over the last 3 candles.
Strategy Myth-Busting #10 - InsideBar+EMA - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our 10th one we are automating is the " 75% Win Rate High Profit Inside Bar Trading Strategy - What If You ... " strategy from " Trade Pro " who claims to have backtested this manually and achieved 11,063% profit with a 75% winrate over 100 trades. I was unable to emulate these results consistently accommodating for slippage and commission but even so, the results look promising. I was only able to achieve this win-rate with some multiple take profit staggering. Even so the markdown is above where I would normally consider comfortable (>20%).
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
This strategy uses a combination of 2 open-source public indicators:
Inside Bar Ind/Alert by CMA
EMA (built-in)
Trading Rules
4 hour candles
Stop Loss at EMA Line with TP Target 1.5x the risk
Long Entry when these conditions are true
inside bar and bullish
Bar close's above 50 ema
Price action rises above high of inside bar .
Short Entry when these conditions are true
inside bar and bearish
Bar close below 50 ema
Price action falls below low of inside bar
Trend Hunter v4This strategy follows the Trend Hunter training strategy taught at InvestIshare.
Entries are made based predominantly on the price action being above/below the Ichimoku Cloud with the ATR based super trend being used as a trailing stop loss.
Additional trend tracking tools can be toggled on / off to improve the wind rate on some time frames, with additional options available to limit entries if certain conditions are met.
If you would like access to this indicator, send me a DM on the Investishare Discord in the Trend Hunters channel.
The default parameters are set for BTC on the 2 HR time frame
Ultimate Moving Average Strategy CreatorHave you ever wanted to create your OWN strategy, but don't have coding experience? Well now you can.
With simple settings, but millions of potential strategies and combinations, this indicator / strategy lets YOU make ALL the rules.
Start by choosing up to 4 moving averages from all the various types - Simple, Exponential, Hull, Volume-Weighted, etc. Choose the period and choose price source.
Now the fun part.
You select your values to compare and how to compare them. Want to test if the Fast Moving Average crosses over the Slow Moving Average? No problem. Want to add an additional test to check the closing price is greater than the Fast Moving Average? Done.
With additonal options to set take profit % and stop loss %, as well as a date range and the option for 'Long Only' positions, you can instantly see the results of any strategy in the strategy tester, then simply make an adjustment and refine the criteria without having to know or understand any of the complex coding and scripting.
I have tried many popular moving average strategies, but irrespective of the results, the thing that stood out to me was how inflexible they were. If it was designed to test a triple crossover, that's all it could do. With this indicator, literally anything is possible and modifying the parameters couldn't be easier.
Crypto BTC Correlation Scalper Gaps StrategyThis strategy is based on the gaps theory.
In this case we have the BTC futures from CME, which acts in a way similar to stocks, and we can have gaps present between close/open session, and also sometimes between same candle due to huge movements intra candle.
At the same time I have combined this with a daily moving average, to help out a bit with the trend, since we are looking at small timeframe like 1-15/30min .
On top of that we have a reverse option, where long = short and viceversa, which can be used with against BTC pairs .
Rule are simple:
For long, we have a long gap and the close of the correlated candle is above daily sma
For short, we have a short gap and the close of the correlated candle is below daily sma
For exit:
For exit, we take the highest highest values for short entry TP, meaning we get the different from the HH and rest the current open candle distance, and use that distance as a TP.
At the same time for long entry, we take the lowest low value and rest current close of the candle to that value, and we get the TP.
Can also be applied this logic for SL aswell but from the test I have found out that exiting based on a reverse condition(when tp is not being hit), gives better results/dd overall.
If you have any questions, please let me know !
