Athena Momentum Squeeze - Short, Lean, and Mean This is a very profitable strategy focusing on 15 minute intervals on the Micro Nasdaq Futures contracts. CME_MINI:MNQH2023
As this contract only keeps positions for on average about an hour risk is managed. At a profit factor of 3.382 with a max drawdown of $123 from January 1st to February 15. Looking back to Dec 2019 still maintains a profit factor of 1.3.
See backtesting: www.screencast.com
2019 backtesting: www.screencast.com
Based on the classic Lazy Bear Oscillator Squeeze with a number of modifications from ADX, MAs and adding fibonacci levels.
We like keeping strategies simple yet powerful, no completely where you can't understand your own trades.
Our team is always modifying and improving the strategy. Always open to collaborating on improving as there is no perfect strategy. www.screencast.com
Pesquisar nos scripts por "adx"
Trend Movement S1-TMIdea:
This script combines: Moving Average (MA), Directional Movement (DMI), MACD
When condition of long or short position from all mentioned indicator are met script opens position. Once trend changes, it closes the position.
Then add some filter conditions to avoid noise.
Concept:
(Note that we take the close to get the closing price)
-Using only cross up down with MA will give a reversal point, but the downside is that it can be noisy.
-MACD will show the current trend detected by cross point.
-Then the +DI , -DI , ADX values are taken into account to confirm the price direction and movement strength.
-This strategy solves this problem by combining 2 more moving averages called 2 trend lines 1 long and 1 short. When the short line crosses up, it will show that the price trend is increasing (at this time the background between these 2 lines will be green) and vice versa (red). To determine if the current trend is bullish or bearish . This will avoid buying when price tend to go down.
-However, there will be many points where some more complex logic is needed. It will add conditions and calculate the probabilities before triggering the signals (You can see them through the item symbols B1, B2, ... ).
How it works:
1. The thin line is stand for short term moving average, and the thick line is stand for long term moving average.
If thin lines cross the thick lines, their color and background will turn green, the price is tend to go up (Uptrend).
If thin lines cross down thick lines, their color and background will turn red, the price is tend to go down (Downtrend).
2. Ability to check the checkbox in setting to show the Golden/De*ath cross.
The yellow symbol "+" is the Golden cross.
The black symbol "+" is the De*th cross.
3. Buy and Sell are show clearly on strategy as the buy and sell point. The default source from bar is CLOSE
4. Setting "Buy only" it using for spot market.
5. When "Not buy in down trend" is checked, it will not trigger buy when in down trend (thin lines cross down thick lines like description in 1.)
6. Setting High spread will call Close buy when it match the High spread bar with the High spread % value
7. It provides setting "Back test From date/To date" for backtest feature. You can set "BacktestFrom date" as the begin of test period. If check box "Using To Date" is check: "Backtest To Date" will be the end of test period.
Suitable time frames:
4h, 1D, 1W
* Please note that this logic does not attempt to predict future prices or 100% accurate signal; Strategy Tester are available to test the profitability of this strategy.
(INVITE ONLY indicator. Please direct message or visit website to try it out)
Hope you guys enjoy!
Examples:
BTCUSD 4H
TSLA 4H
MA Grid StrategyThis trading script uses adjusted 5 min MA40 bands.
The bands are the MA value adjusted by a percentage.
When the symbol closes below the lower bands it buys in increments.
When the symbol closes above the upper bands it sells percentages of the open positions.
Theoretically, this script will work best in bullish price movements, for this reason, ADX and DI were implemented to only trade when the current time frame shows bullish signals.
The returns on this script are minimal, If you have any improvement ideas I would love to hear them, I have only started looking into grid trading.
BankNifty_Bullish_Intraday
The script uses following mechanism to give a signal of BUY if multiple parameters evaluated are all passed.
ENTRY-
1. 5 min MACD should be more than its previous tick
2. 15 min MACD should be more than its previous tick
3. 60 min MACD should be more than its previous tick
4. ADX should be more than 12
5. RSI should be more than 60
6. Stochastic %k should have cross over with %d
7. Bollinger band upper band value should be more than previous tick
EXIT
If the 5 min bar price closes below 5 min EMA , it gives an exit signal.
BankNifty_Bearish_Intraday
The script uses following mechanism to give a signal of SELL if multiple parameters evaluated are all passed.
ENTRY-
1. 5 min MACD should be less than its previous tick
2. 15 min MACD should be less than its previous tick
3. 60 min MACD should be less than its previous tick
4. ADX should be more than 12
5. RSI should be less than 40
6. Stochastic %k should have negative cross over with %d
7. Bollinger band lower band value should be less than previous tick
EXIT
If the 5 min bar price closes above 5 min EMA , it gives an exit signal.
Strategy Myth-Busting #20 - HalfTrend+HullButterfly - [MYN]#20 on the Myth-Busting bench, we are automating the " I Found Super Easy 1 Minute Scalping System And Backtest It 100 Times " strategy from " Jessy Trading " who claims 30.58% net profit over 100 trades in a couple of weeks with a 51% win rate and profit factor of 1.56 on EURUSD .
This one surprised us quite a bit. Despite the title of this strategy indicating this is on the 1 min timeframe, the author demonstrates the backtesting manually on the 5 minute timeframe. Given the simplicity of this strategy only incorporating a couple of indicators, it's robustness being able to be profitable in both low and high timeframes and on multiple symbols was quite refreshing.
The 3 settings which we need to pay most attention to here is the Hull Butterfly length, HalfTrend amplitude and the Max Number Of Bars Between Hull and HalfTrend Trigger. Depending on the timeframe and symbol, these settings greatly impact the performance outcomes of the strategy. I've listed a couple of these below.
And as always, 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 3 open-source public indicators:
Hull Butterfly Oscillator by LuxAlgo
HalfTrend by Everget
Trading Rules
5 min candles but higher / lower candles work too.
Stop loss at swing high/low
Take Profit 1.5x the risk
Long
Hull Butterfly gives us green column, Wait for HalfTrend to present an up arrow and enter trade.
Short
Hull Butterfly gives us a red column , Wait for HalfTrend to present a down arrow and enter trade.
Alternative Trading Settings for different time frames
1 Minute Timeframe
Move the Hull Butterfly length from the default 11 to 9
Move the HalfTrend Amplitude from the default 2 to 1
Enabling ADX Filter with a 25 threshold
2 Hour Timeframe
Move the HalfTrend Amplitude from the default 2 to 1
Laddered Take Profits from 14.5% to 19% with an 8% SL
[XRP][1h] Chanu Delta inspired — Breakeven StrategyHello, this is my first TV contribution. I usually don't publish anything but the script is a quick review of an other contributor (Chanu Delta V3 script )
I reverse engineered this indicator today as I wanted to test it on other contracts. The original version (which aims to be traded on BTC) has been ported to XRP (as btc and xrp prices are narrowly correlated) then modified with a couple of what I believe are improvements:
- No backtest bias even with `security` function.
- Extra backtest bias validation, always trading on next bar as Crossover/under bias is confirmed
- Backtest with 2 ajustable TP, ajustable equity and breakeven option
- The current version is not design to use pyramiding as it would require extra logic to monitor the lifecycle of the position in the context of a study.
- Commented alerts examples with variables available in script scope so you can use them in alerts (just replace strategy with indicator and remove backtest related code block).
- Trade filling assumption set to 10, fees to 0.02 as the are default bybit maker fees and I advice to enter with trailing orders using a max of 2 ticks as offset to lower fees rather than a market order!
- Backtest and Alerts happen on barclose.
- No repaint guaranteed.
There are a thousand ways to improve it (adx/bb based dynamic TP/SL, order lifecycle, pyramiding...) but it seems to be a cool starting point.
Don't forget to have fun!
4 Pack Scalping ToolThe 4 Squeeze Scalp tool is a tool that I have developed over the past few years. I was always fascinated by the fact that most people don’t know where price is heading. While Fibonacci and other linear type methods work it never gelled with me. I started by going deep into the fundamentals of momentum with an understanding that an object in motion heading in a particular direction tends to stay heading in that direction (until something derails it). Price, in my opinion, is no different.
Price can move up, down and sideways. And it moves in a wave, getting stronger over time until eventually pulling back and starting over again. In my mind, the compression of price and the relationship of that pressure to various lengths of time as well as RSI, ADX and DMI across these same time frames gives you a view on how the underlying price momentum is building up and releasing. For trading you want to be building a trade when pressure starts to build and you want to take profits when the wave starts to pull back and build for the next cycle.
Each dot represents a length of the momentum indicator and the line inside the oscillator is a weighted composite of the underlying momentum structure for each of the lengths selected. A trade follows the directional alignment of the line (red = down, yellow = neutral / chop, green = up) and the dots should be aligned from the bottom to the top (bright green = very bullish, dark green = neutral / bullish, dark red = neutral / bearish, bright red = very bearish). When the line and the dots are aligned you will have a high probability trade.
The backtest results below are based on 2 years of backtesting, using a 2 contract trade on a 100K account. While the absolute return is not meaningful the win rate and PF are great for a trade on CL on this timeframe. The tool can be used on any asset over any timeframe in a multitude of combinations.
To get access to the tool, please contact the author.
scalping with market facilitationThis strategy is for scalping low timeframes for 10 pips. I have yet to see a strategy with this unique combo of indicators.
First we have volume indicator market facilitation, where we are looking for volume and mfi to be up, then we want the adx 5 to be above level 30 and above its ema period 3, then if these conditions are good we take shorts when ema 8 is below ema 100 and longs when ema8 is above ema 100 with parabolic sar in its propet place, also to verify trend we have obv over or under its ema of 55 and macd line over its signal line.
I have heikenashi bars on with the regular priceline showing so j see actual price levels, when i get a buy signal i set a buystop above the high of that bar and have a stoploss of 7.5 pips and a take profit of 10 pips, reverse for sells, i have to use metatrader to trade so i use this as my signals to trade.
Note this is not advice trade at your own risk no guarantees in anything in life, but i wanted to share this for it is helping me with my trades to be more strict and semi mechanical. I use it for forex time frames 1 3 5 15 mjn
3c Ultimate reversal strategy With scanner and backtester v2This might just be the ultimate strategy to identify reversals.
This strategy includes a scanner, a backtester and ability to connect it with you 3 commas bot(See adviced settings below)
Strategy:
-Signals reversal that happened in the last bar. This signal DO NOT repaint.
-Identifies potential reversal that might happen in the current bar but can also not happen depending upon the timeframe closing price.
-The strategy combines the Moving Average Trend Changer, SuperTrend (ATR price detection) and ADX.
-It reduces the number of false signals in sideways market conditons and give more reliable trade signals.
-The signal does not repaint and can be used in any market condition. It determines the trend with high precision.
Take profit:
-Set 2 separate TP conditions.
-You can take profit using percentage, ATR, or RR(Risk Reward), aswell as using Trailing Take Profit.
- Use sell signal from the strategy(I often find way better results using that)
Stoploss:
-You can use either ATR, Percentage or sell signal from the strategy
(For now to let the strategy itself decide when to TP or SL, just set these parameters really high.)
Scanner:
-Identifies coins that are currently in the sell zone
-Identifies coins that are currently in the buy zone
-Screener explores up to 20 pairs in current graph's time frame.
-Optimize the strategy to your liking and use the built in backtester to see if it is a viable strategy.
3commas settings:
-For now you can only use simple bots.
-Create LONG and SHORT bots for the coins you like to trade and set up alerts(You can send long and short signal from the same alert)
-Set TP to 50% the strategy will handle buys and exits based on your inputs.
-Set safety orders to 0. I might add DCA to the strategy if testing proves that to be a good solution.
-When you have made the bots input the bot ID and token adress in the settings of the strategy.
-When creating the alert use this webhook :https://3commas.io/trade_signal/trading_view
-In the message field you use {{strategy.order.alert_message}} as the placeholder.
In the future this signal might make it to the 3commas marketplace. You can then subscribe to that signal where I have cherrypicked coins based on thorough backtesting and optimization.
DMI StrategyThis strategy is based on DMI indicator. It helps me to identify base or top of the script. I mostly use this script to trade in Nifty bank options, even when the signal comes in nifty. It can be used to trade in other scripts as well. Pivot points can also be used to take entry. Long entry is taken when DI+(11) goes below 10 and DI-(11) goes above 40, whereas short entry is taken when DI-(11) goes below 10 and DI+(11) goes above 40.
For bank nifty, I take the trade in the strike price for which the current premium is nearby 300, with the SL of 20%. If premium goes below 10% I buy one more lot to average, but exit if the premium goes below 20% of the first entry. If the trade moves in the correct direction, we need to start trailing our stoploss or exit at the pre-defined target.
Please have a look at strategy tester to back test.
R19 STRATEGYHello again.
Let me introduce you R19 Strategy I wrote for mostly BTC long/short signals
This is an upgrated version of STRATEGY R18 F BTC strategy.
I checked this strategy on different timeframes and different assest and found it very usefull for BTC 1 Hour and 5 minutes chart.
Strategy is basically takes BTC/USDT as a main indicator, so you can apply this strategy to all cryptocurrencies as they mostly acts accordingly with BTC itself (Of course you can change main indicator to different assets if you think that there is a positive corelation with. i.e. for BTC signals you can sellect DXY index for main indicator to act for BTC long/short signals)
Default variables of the inticator is calibrated to BTC/USDT 5 minute chart. I gained above %77 success.
Strategy simply uses, ADX, MACD, SMA, Fibo, RSI combination and opens positions accordingly. Timeframe variable is very important that, strategy decides according the timeframe you've sellected but acts within the timeframe in the chart. For example, if you're on the 5 minutes chart, but you've selected 1 hour for the time frame variable, strategy looks for 1 hour MACD crossover for opening a position, but this happens in 5 minutes candle, It acts quickly and opens the position.
Strategy also uses a trailing stop loss feature. You can determine max stoploss, at which point trailing starts and at which distance trailing follows. The green and red lines will show your stoploss levels according to the position strategy enters (green for long, red for short stop loss levels). When price exceeds to the certaing levels of success, stop loss goes with the profitable price (this means, when strategy opens a position, you can put your stop loss to the green/red line in actual trading)
You can fine tune strategy to all assets.
Please write down your comments if you get more successfull about different time zones and different assets. And please tell me your fine tuning levels of this strategy as well.
See you all.
Trend trader + STC [CHFIF] - CV This script is my first strategy script coupling the Trend trader (indicator developed by Andrew Abraham in the Trading the Trend article of TASC September 1998.) and Schaff Trend Cycle . The STC indicator is widely used to identify trends and their directions. It is sometimes used by traders to predict trend reversals as well. Based on the movement of the Schaff Trend Cycle , buy or sell signals are generated, which are then used by traders to initiate either long or short positions.
Around I built a user interface to help you in creating a customized strategy to your need.
My idea behind doing this was to make customizable parameters and back testing easier than manually with a lot of flexibility and options. More possibility we have, more solutions we find right? So I started this script few weeks ago to be my first script (second in reality, but first to be published.)
Strategy it self is made out of 2 simple step:
1→ STC gives a Buy/Sell signal.
2→Price is closing above the TT (Buy) or below (Sell) and the signal is the same as given by the STC .
To complete your strategy in order to reach the best result, I added few options:
→ Money management: Define the type of risk you want to take (entry risk will always risk the same percentage of your portfolio disregarding the size of the SL, Fix amount of money, fix amount of the capital (portfolio). NOTE: Margin is not coded yet, target is to show liquidation price. Please keep an eye on the releases to know when it is released.
→ Stop loss and Take profit management: Define the type of target you want to use (ATR, fixed percentage, pivots points) and even customise different take profit level or activate the trailing. Each type of target is customizable via the menu
→ Moving average: You can also complete the strategy using different moving average. To draw it tick the box on the left, to use it in the calculation of the result, tick the box "Price>MA" in front of the needed EMA . You can select different type of MA ( SMA , EMA , DEMA , TEMA , RMA, HMA , WMA , VWAP , VWMA , etc...)
→ RSI: 4 possible approach to use the RSI to complement the strategy:
• OB/OS => short position will be taken only if RSI goes under the lower limit. Long if the RSI goes above the limit. Ticking confirmation will wait to cross back the limit to validate the condition
• Rev OB/OS => Short will be taken if RSI is below lower limit and stays below. Long will be taken if RSI is above upper limit and stays above.
• MA dominance => RSI has to be above MA for long, below for short. Confirmation box ticked requires 2 bars with the RSI on a side to validate signal.
• MA Dominance + limit => It is a combination of the requirement of the provious option and also Rev. OB/OS
→ Volume confirmation => This will consider the volume MA for entry confirmation. The volume will have to be above the MA define by the value entered in the field.
→ Waddah Attar explosion indicator can also be used as a filter for entries in this way:
• Explosion line > dead zone to validate entries
• Trend > dead zone to validate entry
• Both > dead zone is a compound of both rules above to get entry confirmation
→ ADX can also be used as a filter. I added 2 Threshold in order to have a minimum level of acceptance for valid entry but also a maximum level.
When your strategy is setup, you can setup alerts and I would recommend to setup the date range before doing the alerts. Why? Simply because the script do not cover pyramiding and will give a signal only if a trade is not ongoing.
In setting up the sessions at which you would want to trade, no signal within those range can be missed. You can setup 2 sessions, the days and also the global range of backtesting.
ATR + MTF Candles + HullMa + DIThis is a strategy based on a youtube video by TradeIQ: www.youtube.com
I've reverse engineered the 1 minute Easy Scalping Sys 3.0 indicator (since it is not open source).
The default trading rules are set to the recommendations of TradeIQ but can be adjusted to find maximum performance.
This script uses 4 timeframes to color the bars, stop-loss ATR bands to find the stop-loss, Divergence Indicator to find an entry and Hull MA for trend analysis.
Special credits go to:
@mohamed982 for making Hull MA
@veryfid for making ATR Stop Loss Finder
@BeikabuOyaji for making ADX and DI
3ngine Global BoilerplateABOUT THE BOILERPLATE
This strategy is designed to bring consistency to your strategies. It includes a macro EMA filter for filtering out countertrend trades,
an ADX filter to help filter out chop, a session filter to filter out trades outside of desired timeframe, alert messages setup for automation,
laddering in/out of trades (up to 6 rungs), trailing take profit , and beautiful visuals for each entry. There are comments throughout the
strategy that provide further instructions on how to use the boilerplate strategy. This strategy uses `threengine_global_automation_library`
throughout and must be included at the top of the strategy using `import as bot`. This allows you to use dot notation
to access functions in the library - EX: `bot.orderCurrentlyExists(orderID)`.
HOW TO USE THIS STRATEGY
1. Add your inputs
There is a section dedicated for adding your own inputs near the top of the strategy, just above the boilerplate inputs
2. Add your calculations
If your strategy requires calculations, place them in the `Strategy Specific Calculations` section
3. Add your entry criteria
Add your criteria to strategySpecificLongConditions (this gets combined with boilerplate conditions in longConditionsMet)
Add your criteria to strategySpecificShortConditions (this gets combined with boilerplate conditions in shortConditionsMet)
Set your desired entry price (calculated on every bar unless stored as a static variable) to longEntryPrice and shortEntryPrice. ( This will be the FIRST ladder if using laddering capabilities. If you pick 1 for "Ladder In Rungs" this will be the only entry. )
4. Plot anything you want to overlay on the chart in addition to the boilerplate plots and labels. Included in boilerplate:
Average entry price
Stop loss
Trailing stop
Profit target
Ladder rungs
Dual Fibonacci Zone & Ranged Vol DCA Strategy - R3c0nTraderWhat does this do?
This is for educational purposes and allows one to backtest two Fibonacci Zones simultaneously. This also includes an option for Ranged Volume as a parameter.
Pre-requisites:
First off, this is a Long only strategy as I wrote it with DCA in mind. It cannot be used for shorting. Shorting defeats the purpose of a DCA bot which has a goal that is Long a position not Short a position. If you want to short, there are plenty of free scripts out there that do this.
You must have some base knowledge or experience with Fibonacci trading, understanding what is ADX, +DI (and -DI), etc.
You can use this script without a 3Commas account and see how 3Commas DCA Bot would perform. However, I highly recommend inexperienced uses get a free account and going through the tutorials, FAQ's and knowledgebase. This would give you a base understanding of the settings you will see in this strategy and why you will need to know them. Only then should you try testing this strategy with a paper bot.
Background
After I had created and released "Fibonacci Zone DCA Strategy", I began expanding and testing other ideas.
The first idea was to add Ranged Volume to the Fibonacci Zone DCA strategy which I wanted for providing further confirmation before entering a trade. The second idea was to add a second Fibonacci Zone that was just as configurable as the first Fibonacci Zone. I managed to add both and they can be easily enabled or disabled via the strategy settings menu.
Things Got Real Interesting
Things got real interesting when I started testing strategies with two Fibonacci zones. Here's a quick list of what I found I was able to do:
Mix and match exit strategies. I could set the Fib-1 zone strategy to exit with a take profit % and separately set the Fib-2 zone strategy to exit when the price crosses the top-high fib border
Trade the trend. A common phrase amongst traders is "the Trend is your friend" and with the help of an additional Fib Zone, I was able to trade the trend more often by using two different Fib Zone strategies which if configured properly can shorten time to re-deploy capital, increase number of closed trades, and in some cases increase net profit.
Trade both bull market uptrends and bear market downtrends in the same strategy. I found I could configure one Fib Zone strategy to be really good in uptrends and another Fib Zone strategy to be really good in downtrends. In some cases, with both Fib Zone strategies enabled together in a single strategy I got better results than if the strategies were backtested separately.
There are many other trade strategies I am finding with this. One could be to trade a convergence or divergence of the two different Fib Zones. This could possibly be achieved by setting one strategy to have different Fibonacci length.
Credits:
Thank you "EvoCrypto" for granting me permission to use "Ranged Volume" to create this strategy
Thank you "eykpunter" for granting me permission to use "Fibonacci Zones" to create this strategy
Thank you "junyou0424" for granting me permission to use "DCA Bot with SuperTrend Emulator" which I used for adding bot inputs, calculations, and strategy
Wavelet Trade StrategyThe strategy was based on Wavelet and Trend to find a small wave trade :
Wavelet Concepts
A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times. Wavelets are termed a "brief oscillation".
1. A price of wavelets has been established, based on the bar and direction of its pulses.
2. Wavelet uses transforms to decompose the price and time series data.
3. Then, the obtained approximation and detail components after decomposition are used to forecast future prices.
What it does :
In each small wave, find potential high and low. filter by trend to know higher high or lower low and trade by this strategy.
you could not buy the bottom and sell the top every time, but is close in local range by a small wave.
How it does it :
The wavelet can be used to analyze waves in space and reduce noise, while retaining the important components. Whenever the ADX falls below a certain threshold, a bottom blue line will appear. It means the price is into range, otherwise trend.
How to use it :
The recommended time frame is less than 12 hours.
Set parameters to fine tune your strategy.
Use SL/TP as part of your strategy, and change date to find the most weak time.
Default parameter is for BTC fine tune :
The performance overview is from 2021-01-01 to 2022-05-30.
Solution Zigma - Fibonacci Impulse'Solution Zigma' is strategy for any securities because this strategy use EMA of Fibonacci Level and Plot Like candle easy for analysis trend impulse. This strategy used DMI(ADX) for filter sideway but not greatest indicator, Please use this strategy with Risk Management.
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.
Kahlman HullMA / WT Cross StrategyA strategy created using Hull Moving Average and WT Cross .
Hull Moving Average turns green and WT Cross crossover this is a long. Otherwise short.
Stop Loss and Take Profit settings are available. You can set it to the level you want or turn it off.
According to my measurements, it shows the best performance in the 4-hour period. But you can find the best settings that are correct from the Strategy settings.
Octopus_AlgoGram_IndicatorHello traders!
I have been developing Octopus trading indicator over the last year. This algorithm indicator is based on a set of different strategies, each with its own weight (weighted strategy). The set of strategies that I currently use are 5:
Volume
ADX
MA crossover
Macd
Chaikin Oscillator
Moreover, this indicator includes STOP losses criteria and a taking profit strategy. this indicator must be optimized for the desired asset to achieves its full potential.
Best Time-Frame :
The 10 & 23 Minutes Time frame give good results. The algo has been tested for several asset (same dataframe, different optimization values).
When to Buy & Sell :
Buy Entry & Exit : Take entry when Green Arrow or Buy Trigger on screen & Exit when Purple Arrow or exit trigger on screen
Sell Exit & Exit : Take entry when Red Arrow or Sell Trigger on screen & Exit when Purple Arrow or exit trigger on screen
Important note:
Backtest the algorithm with different data stamps to avoid overfitting results
How it works:
The algorithm is based on a combination of well-documented indicators. First, the algorithm calculated the weight_strategy, which represents a value from 0 to 5 of the number of strategies that are fulfilled (in case the weight of each strategy is the same). To open a position, the value of weight_strategy must be greater than the value of weight_signal, by default 2. Modify the indicator parameters for the desired asset and data frame. Set stop-loss and take profit criteria.
Features:
* The algorithm allows to trade with long, short or both positions.
* Backtest the algorithm over a defined interval (data stamp), e.g., from 2022
* stop loss (SL) orders based on movement of the previous candle source, e.g., close or candle volatility . Only close the position after the candle is close!
* It can moves the stop loss when this indicator takes profit (TP)
* Take profit based on market movement and once all condition true they push exit order
* Define delays to evaluate the strategies of more previous candles:
+ Candle delay Exit is the number of candles the algorithm waits to open a new position.
* Choose if you want to use the weighted strategy or just some of them.
* Choose the weight (relevance) of each strategy.
* Customize the well documented MA cross strategy.
Disclaimer :
AlgoGram Script,Indicator,Strategy,Trading Idea & presentations are only for educational & Research purposes and are not intended as investment advice. I cannot guarantee the accuracy of any information provided above , please take trade with help of your Financial adviser or on your own risk
Cheers! & Best Of Luck
By AlgoGram
Eagle_AlgoGram_IndicatorHello traders!
I have been developing Eagle trading indicator over the last year. This algorithm indicator is based on a set of different strategies, each with its own weight (weighted strategy). The set of strategies that I currently use are 4:
Stochastic RSI
ADX
MA crossover
Keltner Channel
Moreover, this indicator includes STOP losses criteria and a taking profit strategy. this indicator must be optimized for the desired asset to achieves its full potential.
Best Time-Frame :
The 5 & 8 Minutes Time frame give good results. The algo has been tested for several asset (same dataframe, different optimization values).
When to Buy & Sell :
Buy Entry & Exit : Take entry when Green Arrow or Buy Trigger on screen & Exit when Purple Arrow or exit trigger on screen
Sell Exit & Exit : Take entry when Red Arrow or Sell Trigger on screen & Exit when Purple Arrow or exit trigger on screen
Important note:
Backtest the algorithm with different data stamps to avoid overfitting results
How it works:
The algorithm is based on a combination of well-documented indicators. First, the algorithm calculated the weight_strategy, which represents a value from 0 to 5 of the number of strategies that are fulfilled (in case the weight of each strategy is the same). To open a position, the value of weight_strategy must be greater than the value of weight_signal, by default 2. Modify the indicator parameters for the desired asset and data frame. Set stop-loss and take profit criteria.
Features:
* The algorithm allows to trade with long, short or both positions.
* Backtest the algorithm over a defined interval (data stamp), e.g., from 2022
* stop loss (SL) orders based on movement of the previous candle source, e.g., close or candle volatility . Only close the position after the candle is close!
* It can moves the stop loss when this indicator takes profit (TP)
* Take profit based on market movement and once all condition true they push exit order
* Define delays to evaluate the strategies of more previous candles:
+ Candle delay Stoch RSI is for the Stochastic RSI strategy.
+ Candle delay Exit is the number of candles the algorithm waits to open a new position.
* Choose if you want to use the weighted strategy or just some of them.
* Choose the weight (relevance) of each strategy.
* Customize the well-documented Stochastic RSI strategy.
* Customize the well documented MA cross strategy.
Disclaimer :
AlgoGram Script,Indicator,Strategy,Trading Idea & presentations are only for educational & Research purposes and are not intended as investment advice. I cannot guarantee the accuracy of any information provided above , please take trade with help of your Financial adviser or on your own risk
Cheers! & Best Of Luck
By AlgoGram
