Strategy Gaussian Anomaly DerivativeConcept behind this Strategy :
Considering a normal "buy/sell" situation, an asset would be bought in average at the median price following a Gaussian like concept. A higher or lower average trend would significate that the current perceived value is respectively higher or lower than the current median price, which mean that the buyers are evaluating the price underpriced or overpriced.
This behaviour would be even more relevent depending on its derivative evolution.
Therefore, this Strategy setup is based on this Gaussian like concept anomaly of average close positionning compare to high-low average derivative, such as the derivative of the following ploted basic signal : 1-(high+low)/(2*close).
This Strategy can actually be used like a trend change and continuation strength indicator aswell.
In the Setup Signal part :
You can define the filtering of the basis signal "1-(high+low)/(2*close)" on EMA or SMA as you wish.
You can define the corresponding period and the threathold as a mutiply of the average 1/3 of all time value of the basis signal.
You can define the SMA filtering period of the Derivative signal and the corresponding threathold on the same mutiply of the average 1/3 of all time value of the derivative.
In the Setup Strategy part :
You can set up your strategy assesment based on Long and/or Short. You can also define the considered period.
The most successful tuned strategies I did were based on the derivative indicator with periods on the basis signal and the derivative under 30, can be 1 to 3 of te derivative and 7 to 21 for the basis signal. The threathold depends on the asset volatility aswell, 1 is usually the most efficient but 0 to 10 can be relevent depending on the situation I met. You can find an example of tuning for this strategy based on Kering's case hereafter.
I hoping that you will enjoy using this Strategy, don't hesitate to comment, to question, to correct or complete it ! I would be very curious about similar famous approaches that would have already been made.
Thank to you !
Average
Strategy Myth-Busting #4 - LSMA+HULL Crossover - [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 fourth one we are automating is one of the strategies from "I Found The Best 1 Minute Scalping Strategy That Actually Works! ( Beginner Friendly )" from "Trade Domination" who claims to have made 366% profit on the 1 min chart of Solona despite having a 31% win rate in just a few weeks. As you can see from the backtest results below, I was unable to substantiate anything close to that that claim on the same symbol ( SOLUSD ), timeframe (1m) with identical instrument settings that "Trade Domination" was demonstrating with. Strategy Busted.
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:
LSMA
Hull Suite by InSilico
Trading Rules
1 min candles
Stop Loss on recent swing High/Low
1:5 Risk Ratio
Enter Long
LSMA cross above Red Hull Suite line
Price has to be above Hull Suite Line
Enter Short
LSMA crosses under green Hull Suite Line
Price has to be below Hull Suite Line
MTF RSI & STOCH Strategy by kziThis script is a teaml job with Indicator-Johns.
First he used my script, then i transform his code.
The origine:
The first transformation:
www.tradingview.com
Funny moment together, thanks for that. :)
This sharing is an indicator where you can see the average of different time frames.
The RSI is the blue line
The Stock is the yellow line
You can manage the timeframe in the parameters.
The strategy is to take position when the two lines get overbought or oversold and close when the stoch and RSI goes to the middle.
RSI Average Swing BotThis is a modified RSI version using as a source a big length(50 candles) and an average of all types of sources for candle calculations such as ohlc4, close, high, open, hlc3 and hl2.
In this case we are going to use a 0-1 scale for an easier calculation, where 0.5 is going to be our middle point.
Above 0.5 we consider a bullish possibility.
Below 0.5 we consider a bearish possibility.
I made a small example bot using that initial logic, together with 2 exit points for long or short positions.
If there are any questions, let me know !
Arch1tect's New Toy (Strategy Tester Version)Description:
The version of Arch1tect's New Toy indicator with Strategy Tester added.
This indicator tries to predict market trends by simply utilising 2 moving averages crossovers.
How it works:
Buy signals are triggered when the faster MA crosses over the slower MA from the downside to the upside.
Sell signals are triggered when the faster MA crosses under the slower MA from the upside to the downside.
How to use:
Take buys when buy signal is triggered AND close existing sell position
Take sells when sell signal is triggered AND close existing buy position
Note:
Settings are optimised for XAUUSD on the M1 chart.
Extra:
Alerts are included.
You can toggle between EMA, WMA and SMA to your liking.
Indicator version:
Average Highest High and Lowest Low Swinger StrategyThis is a full price action strategy designed for trending markets such as crypto and stocks.
Its purely made on calculations for the highest high and lowest low using 2 different length , a faster and a slower one.
With those we make multiple averages.
Rules for entry:
For long: our close of the candle is above both the average using fast and slow line
For short: our close of the candle is below both the average using fast and slow line
Rules for exit
We always exit when we have an opposite order
Caution
This strategy use no risk management system, so be careful with it
If you have any questions, let me know
Swing/Scalper HULL + T3 avg Crypto StrategyThis is a both a swing and a scalper strategy(depends on the timeframe that you use), that works with all timeframes, however I noticed that with swing 3h works the best on most crypto pairs, such as ETH, BTC and so on.
Its main components are:
Hull moving average
T3 moving average
Risk management
With them I make an average and use it as the main moving average.
Rules for entry
For long: Average moving average is bigger than previous average moving average value.
For short:Average moving average is lower than previous average moving average value.
Rules for exit
We exit when either the TP/SL has been hit, or when we get a different condition than previous one(both for long and short).
If you have any questions, let me know !
ETF / Stocks / Crypto - DCA Strategy v1Simple "benchmark" strategy for ETFs, Stocks and Crypto! Super-easy to implement for beginners, a DCA (dollar-cost-averaging) strategy means that you buy a fixed amount of an ETF / Stock / Crypto every several months. For instance, to DCA the S&P 500 (SPY), you could purchase $10,000 USD every 12 months, irrespective of the market price. Assuming the macro-economic conditions of the underlying country remain favourable, DCA strategies will result in capital gains over a period of many years, e.g. 10 years. DCA is the safest strategy that beginners can employ to make money in the markets, and all other types of strategies should be "benchmarked" against DCA; if your strategy cannot outperform DCA, then your strategy is useless.
Recommended Chart Settings:
Asset Class: ETF / Stocks / Crypto
Time Frame: H1 (Hourly) / D1 (Daily) / W1 (Weekly) / M1 (Monthly)
Necessary ETF Macro Conditions:
1. Country must have healthy demographics, good ratio of young > old
2. Country population must be increasing
3. Country must be experiencing price-inflation
Necessary Stock Conditions:
1. Growing revenue
2. Growing net income
3. Consistent net margins
4. Higher gross/net profit margin compared to its peers in the industry
5. Growing share holders equity
6. Current ratios > 1
7. Debt to equity ratio (compare to peers)
8. Debt servicing ratio < 30%
9. Wide economic moat
10. Products and services used daily, and will stay relevant for at least 1 decade
Necessary Crypto Conditions:
1. Honest founders
2. Competent technical co-founders
3. Fair or non-existent pre-mine
4. Solid marketing and PR
5. Legitimate use-cases / adoption
Default Robot Settings:
Contribution (USD): $10,000
Frequency (Months): 12
*Robot buys $10,000 worth of ETF, Stock, Crypto, regardless of the market price, every 12 months since its founding time.*
*Equity curve can be seen from the bottom panel*
Risk Warning:
This strategy is low-risk, however it assumes you have a long time horizon of at least 5 to 10 years. The longer your holding-period, the better your returns. The only thing the user has to keep-in-mind are the macro-economic conditions as stated above. If unsure, please stick to ETFs rather than buying individual stocks or cryptocurrencies.
Tilson T3 and MavilimW Triple Combined StrategyInspired by truly greatful Kivanç Ozbilgic (www.tradingview.com).
The strategy tries to combined three different moving average strategies into one.
Strategies covered are:
1. Tillson T3 Moving Average Strategy
Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well. However, it bears the disadvantage of overshooting the price as it attempts to realign itself to current market conditions.
It incorporates a smoothing technique which allows it to plot curves more gradual than ordinary moving averages and with a smaller lag. Its smoothness is derived from the fact that it is a weighted sum of a single EMA, double EMA, triple EMA and so on. When a trend is formed, the price action will stay above or below the trend during most of its progression and will hardly be touched by any swings. Thus, a confirmed penetration of the T3 MA and the lack of a following reversal often indicates the end of a trend. Here is what the calculation looks like:
T3 = c1*e6 + c2*e5 + c3*e4 + c4*e3, where:
– e1 = EMA (Close, Period)
– e2 = EMA (e1, Period)
– e3 = EMA (e2, Period)
– e4 = EMA (e3, Period)
– e5 = EMA (e4, Period)
– e6 = EMA (e5, Period)
– a is the volume factor, default value is 0.7 but 0.618 can also be used
– c1 = – a^3
– c2 = 3*a^2 + 3*a^3
– c3 = – 6*a^2 – 3*a – 3*a^3
– c4 = 1 + 3*a + a^3 + 3*a^2
T3 MovingThe T3 Moving Average generally produces entry signals similar to other moving averages and thus is traded largely in the same manner.
Strategy for Tillson T3 is if the close crossovers T3 line and for at least five bars the close was under the T3
2. Tillson T3 Fibonacci Cross
Kivanc Ozbilgic added a second T3 line with a volume factor of 0.618 (Fibonacci Ratio) and length of 3 (fibonacci number) which can be added by selecting the T3 Fibonacci Strategy input box.
Strategy for Tillson T3 Fibo is when the Fibo Line crossover the T3 it gives long signal vice versa.
3. MavilimW
MavilimW is originally a support and resistance indicator based on fibonacci injected weighted moving averages.
Strategy for MavilimW is is if the close crossovers T3 line and for at least five bars the close was under the T3
Hope you enjoy
Slow Heiken Ashi and Exponential Moving average Strategy 2.2Strategy using Slow Heiken Ashi by Glaz and Exponential moving averages. Looking for someone to help me turn the strategy into non-reoccuring alerts as I am having trouble doing so.
Average DownThis strategy has been published for a Pyramiding tutorial on the Backtest Rookies website.
For a full overview of the code and an introduction to Pyramiding check out our site.
Summary
The code example will create a simple script that allows us to average down whenever our portfolio is down x%. The idea will be to bring our average cost down so that we can still exit with a profit when conditions improve. With this in mind, the strategy shall also have a simple take profit exit at x% above our average price.
Inputs
Target Loss to Average Down (%) : This is the target percentage level will trigger us to average down. In other words, if we have a close below this level from our average buying price, we will average down.
Target Take Profit : A standard take profit percentage level. Use this to set how much profit you will target.
% Of Current Holdings to Buy : Is the number of shares/contracts we will aim to buy when we average down. 50 will mean we buy 50% of our current holdings. So if we have 100 shares, then we buy 50 when we average down.
SMA Period : Defines our SMA lookback period. Our strategy will enter the first/initial position when we have a close above our SMA level.
CMOabsav Backtest This indicator plots the absolute value of CMO averaged over three
different lengths. This indicator plots a classical-looking oscillator,
which is really an averaged value based on three different periods.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Adam Smith - MovingAvg CrossSimple Moving Average Cross script. Test on stocks and currency. For stocks test shorter time periods, meaning intra-day time periods such as 3min to 30min and so on to fit what is best. For currency, try longer periods with this model such as day to weeks depending on which currency.
NOTE: Take a look at your Max Drawdowns when testing. This will be the main indicator once you figure out your time period for backtesting. This will also let you know how much money to save and/or hold back in savings for down periods.
SS420FXTwo Moving_Average cross's & Daily_Candle cross
Based on Hull_MA
Developed by Alan Hull, it is an indicator, that solves the problem with making a moving average more reactive to current price activity. The Hull Moving Average almost eliminates lag and manages to improve smoothing.
The HMA manages to stick to rapid changes in price activity, as it has superior smoothing over a Simple Moving Average of the same period. The HMA employs Weighted Moving Averages (WMA) and dampens the smoothing effect. It can be calculated as follows:
HMA(n) = WMA(2*WMA(n/2) – WMA(n)), sqrt(n))
Ichimoku + Daily-Candle_X + HULL-MA_X + MacDIchimoku_cloud + Daily-Candle_cross(DT) + HuLL-MovingAverage_cross + MacD
any timeframe, all indicators settings adjustable for fine tuning to pair/timeframe
Target Point and Stop Loss settings
set SL low to reduce repaint
4MA StrategyUses 4 Ma cross...
Double Hull Moving Averages
Volume Weighted Moving Average
Weighted Moving Average
<<<<< by SeaSide420 >>>>>>
Hausky Simple MA Strategy EURUSD 1HHere is my simple Moving Average crossover strategy for EURUSD 1H
