Dollar cost averaging trading system (DCA)As investors, we often face the dilemma of willing high stock prices when we sell, but not when we buy. There are times when this dilemma causes investors to wait for a dip in prices, thereby potentially missing out on a continual rise. This is how investors get lured away from the markets and become tangled in the slippery slope of market timing, which is not advisable to a long-term investment strategy.
Skyrex developed a complex trading system based on dollar-cost averaging in Quick Fingers Luc's interpretation. It is a combinations of strategies which allows to systematically accumulate assets by investing scaled amounts of money at defined market cycle global support levels. Dollar-cost averaging can reduce the overall impact of price volatility and lower the average cost per asset thus even during market slumps only a small bounce is required to reach take profit.
The strategy script monitors a chart price action and identifies bases as they form. When bases are reached the script provides entry actions. During price action development an asset value can go lower and in this way the script will perform safety entries at each subsequent accumulation levels. When weighted average entry price reaches target profit the script will perform a take profit action.
Bases are identified as pivot lows in a fractal pattern and validated by an adjustable decrease/rise percentage to ensure significancy of identified bases. To qualify a pivot low, the indicator will perform the following validation:
Validate the price rate of change on drops and bounces is above a given threshold amount.
Validate the volume at the low pivot point is above the volume moving average (using a given length).
Validate the volume amount is a given factor of magnitude above is above the volume moving average.
Validate the potential new base is not too close to the previous range by using a given price percent difference threshold amount.
A fractal pattern is a recurring pattern on a price chart that can predict reversals among larger, more chaotic price movements.
These basic fractals are composed of five or more bars. The rules for identifying fractals are as follows:
A bearish turning point occurs when there is a pattern with the highest high in the middle and two lower highs on each side.
A bullish turning point occurs when there is a pattern with the lowest low in the middle and two higher lows on each side.
Basic dollar-cost averaging approach is enhances by implementation of adjustable accumulation levels in order to provide opportunity of setting them at defined global support levels and Martingale volume coefficient to increase averaging effect. According to Quick Fingers Luc's principles trading principles we added volume validation of a base because it allows to confirm that the market is resistant to further price decrease.
The strategy supports traditional and cryptocurrency spot, futures, options and marginal trading exchanges. It works accurately with BTC, USD, USDT, ETH and BNB quote currencies. Best to use with 1H timeframe charts and limit orders. The strategy can be and should be configured for each particular asset according to its global support and resistance levels and price action cycles. You can modify levels and risk management settings to receive better performance
Advantages of this script:
Strategy has high net profit of 255% at backtests
Backtests show high accuracy around 75%
Low Drawdowns of around 14% at backtests
Strategy is sustainable to market slumps and can be used for long-term trading
The strategy provides a large number of entries which is good for diversification
Can be applied to any market and quote currency
Easy to configure user interface settings
How to use?
1. Apply strategy to a trading pair your are interested in using 1H timeframe chart
2. Configure the strategy: change layer values, order size multiple and take profit/stop loss values according to current market cycle stage
3. Set up a TradingView alert to trigger when strategy conditions are met
4. Strategy will send alerts when to enter and when to exit positions which can be applied to your portfolio using external trading platforms
5. Update settings once market conditions are changed using backtests on a monthly period
DCA
Mean reversal QFL v3My aim is to make the bots trade as you would trading QFL manually and “by the book” or at least to my experience and understanding from the material out there of how you should plan a QFL trade.
Im absolutely not a pro trader, I have made my share of costly mistakes trying to be clever or Beeing impatient resulting in painful losses. QFL is we’re I’ve had consistently good results tough.
Is this where I have to say I’m not a financial advisor and all that? Well I’m not. As always Do your own research and backtest, backtest, backtest.
First: I believe no bot strategy are set and forget, while they can run unattended 80-90% of the time you're always going to find yourself in a situation where you will have to manually handle a bad deal. It would also make sense to be somewhat involved in the really good trades making the most out of them. That’s why understanding the strategy the bot Is using is really important, hence why I prefer QFL. It's an easy concept to understand, and proved to be a safe way of making steady profit in pretty much all market conditions if done right.
Some changes in how aggressive you are might be needed if you are the impatient kind of trader who needs to see a lot of deals happening. But it is an added risk. In those cases Luc would advise to start “nibbling” but that would be hard to implement in a bot but I will see if that’s something I can implement.
Same goes for going the more conservative route when market conditions calls for it.
QFL stands for Quickfingersluc, and sometimes it is referred to as the Base Strategy or Mean Reversals. Its main idea is about identifying the moment of panic selling and buying below the base level and utilizing Safety orders.
Base level or Support Level refers to the lowest price level that was reached before the moment the price started increasing again. At that level, you can notice that buyers of some cryptocurrencies make a strong reaction.
As a bit of a learning material i want to make a few points on important factors in trading using the QFL strategy:
• Identify strong bases
• Read the history of the chart
• No emotions
Trading QFL using a bot has it’s limitations:
· Some of the bases are questionable but im constantly trying to improve this
· The strategy don’t take into consideration chart history(success rate)*
· You need to follow a predefined (by you) buying ladder, hence not considering a particular coin's average price movement, which may vary quite a lot. This why I for now has limited the strategy to SIMPLE bots. So that unique alerts can be created for each pair.
· A set Take profit %, possibly making you miss out on higher profits(This is easy to change during a trade though), and no chance of selling in layers(This is coming soon).
1. Some of the bases are questionable
The strategy will start trades of bases that you wouldn’t consider being a strong base(or a base at all) when looking at the chart.
For those not as familiar with QFL. What is a base, and what qualifies as a strong base?
• A base is also called the Support Level, which is the lowest price level that was reached before the price started turning and increasing again.
• A strong base is recognized by a steep fall in price after breaking the base(Panic), followed by a big reaction pump.
• The reaction pump is the most important factor to say that it is a strong base.
• And also the last base, the one you are trading of is the one that counts
Tip: Look for V shapes on the chart, easy to spot when zoomed out.
2. The integrated signals don’t take into consideration chart history(success rate)*
How can you assess the success rate by looking at the chart?
After finding the bases based on the criterias from the 1st point. Looking at the, how many times did it respect the base after breaking it? 7/10, 8/10, 9/10 times? Great! Chances of the next trade also respecting the base is big, and I would consider raising the TP on that deal. Any lower than that I would keep a really close eye on the deal, or even consider closing the deal. And again remember the last base is the one that counts. If all the others are nice strong bases but that last one you are about to take a trade off is no good the base is invalidated so be cautious.
3. You need to follow a predefined (by you) buying ladder
Crypto is volatile, and there is a huge variation in price movements on all the coins.
Trading manually, looking at the chart gives you a good idea on how much a coin on avg. drops below base, and how big the following reaction is. This gives you an indication on how deep you need to set your layers, and where you can take profit.
Using the strategy you have the backtester to see how much max deviation has been in the past so that you can figure out what the optimal max deviation is.
4. A set Take profit %, possibly making you miss out on higher profits(This is easy to change during a trade though), and no chance of selling in layers.
Not going to say to much about this other than what I often do is:
When a bot has started a trade I usually take a look at the chart. If I like what I see, nice chart history, success rate and trading of a strong previous base etc, with the current base break resulting in a panic drop I will consider increasing the TP so that it will make more profit. This can be a bit risky but also very rewarding. Imagine filling all safeties and then selling just below base! Massive profits!! (Gotta be honest though, almost never stretch it that far with a bot though, but it is a possibility) .
If you have studied the chart and concluded that this particular trade has a 90% chance of success, there isn’t really any reason not to place TP just below base. This is where I would like to have the option of layering my sell orders as well so its something im working on implementing.
Trailing is an option in 3commas, but it’s slow to place orders making you miss a selling opportunity when the coin makes a sudden spike up.
ABOUT THIS STRATEGY
In this strategy we can also reverse the strategy and go short. But i must warn you that that is alot riskier.
QFL is meant to be used on higher TF's like 1hr, 2hr and 4hr. But this strategy also work well on lower Timeframes.
The script also simulates DCA strategy with parameters used in 3commas DCA bots for futures trading.
Experiment with parameters to find your trading setup.
Beware how large your total leveraged position is and how far can market go before you get liquidated!
Do that with the help of futures liquidation calculators you can find online!
Included:
An internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage.
A graphic interface, so levels are clearly visible and back-test analyzing made easier.
Long & Short direction of the strategy.
Table display a summary of past trades
Vertical colored lines appear when the new maximum deviation from the original price has
been reached
All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
How to use:
- Add the script to the current chart
- Open the strategy settings
-Tweak the settings to to your liking.
-Make a SIMPLE bot in 3commas and use the same settings as you did in tradingview if you only want the strategy to send signals to open a deal and let 3commas handle the rest.
If you check safety orders, Take profit deal stop and Stop loss. The strategy will send all the orders to 3 commas. If that’s what you want set TP in 3commas to 50% set number of safety orders to 0 and keep stop loss unchecked.
- Insert bot details using the deal start condition message found in your 3commas bot.
- When happy, right click on the "..." next to the strategy name, then "Add alert'".
- Under "Condition", on the second line, chose "Any alert () function call". Add the webhook from 3commas( 3commas.io ), give it a name, use {{strategy.order.alert_message}} as a placeholder message and "create".
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.
How to obtain access to the script: send me a private message in Tradingview
Mean Reverse Grid Algorithm - The Quant ScienceMean Reverse Grid Algorithm - The Quant Science™ is a dynamic grid algorithm that follows the trend and run a mean reverting strategy on average percentage yield variation.
DESCRIPTION
Trades on different price levels of the grid, following the trend. The grid consists of 10 levels, 5 higher and 5 lower. The grids together create a channel, this channel represents the total percentage change where the algorithm works. The channel also represents the average change yields of the asset, identified during analysis with the "Yield Trend Indicator".
The algorithm can be set long or short.
1. Long algorithm: opens long positions with 20% of the capital every time the price crossunder a lower grid, for a maximum total of 5 simultaneous trades. Trades are closed each time the price crossover a higher grid.
2. Short algorithm: opens short positions with 20% of the capital every time the price crossover a higher grid, for a maximum total of 5 simultaneous trades. Trades are closed each time the price crossunder a lower grid.
USER INTERFACE SETTING
The user configures the percentage value of each grid from the user interface.
AUTO TRADING COMPLIANT
With the user interface, the trader can easily set up this algorithm for automatic trading. Automating it is very simple, activate the alert functions and enter the links generated by your broker.
BACKTESTING INCLUDED
With the user interface, the trader can adjust the backtesting period of the strategy before putting it live. You can analyze large periods such as years or months or focus on short-term periods.
NO LIMIT TIMEFRAME
This algorithm can be used on all timeframes and is ideal for lower timeframes.
GENERAL FEATURES
Multi-strategy: the algorithm can apply either the long strategy or the short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated grid: the grid indicator is included.
Backtesting included: automatic backtesting of the strategy is generated based on the values set.
Auto-trading compliant: functions for auto trading are included.
ABOUT BACKTESTING
Backtesting refers to the period 1 August 2022 - today, ticker: ETH/USDT, timeframe 1H.
Initial capital: $1000.00
Commission per trade: 0.03%
DCA Average Arbitrage - The Quant ScienceDCA Average Arbitrage - The Quant Science™ is a quantitative algorithm based on a DCA model that uses averaging to create a statistical arbitrage system.
DESCRIPTION
The algorithm can be set long or short.
1. Long algorithm: opens long positions with 100% of the capital every time the price deviates negatively for a certain percentage distance from the average.
2. Short algorithm: opens short positions with 100% of capital every time the price deviates positively for a certain percentage distance from the average.
The closing of positions depends on the parameters activated by the user. The user can set the closing on the reverse condition and/or add functions such as stop loss, take profit and closing after a certain bar period.
USER INTERFACE SETTING
The user chooses the long or short direction and sets the parameters for average as length, source and percent distance.
AUTO TRADING COMPLIANT
With the user interface, the trader can easily set up this algorithm for automatic trading. Automating it is very simple, activate the alert functions and enter the links generated by your broker.
BACKTESTING INCLUDED
With the user interface, the trader can adjust the backtesting period of the strategy before putting it live. You can analyze large periods such as years or months or focus on short-term periods.
NO LIMIT TIMEFRAME
This algorithm can be used on all timeframes and is ideal for lower timeframes.
GENERAL FEATURES
Multi-strategy: the algorithm can apply either the long strategy or the short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated indicator: the quantity indicator is included.
Backtesting included: automatic backtesting of the strategy is generated based on the values set.
Auto-trading compliant: functions for auto trading are included.
ABOUT THE BACKTEST
Backtesting refers to the period 1 January 2022 - today, ticker: ICP/USDT, timeframe 5 minutes.
Initial capital: $1000.00
Commission per trade: 0.03%
3C QFL Mean reversalWhat is QFL trading strategy?
QFL stands for Quickfingersluc, and sometimes it is referred to as the Base Strategy or Mean Reversals. Its main idea is about identifying the moment of panic selling and buying below the base level and utilizing Safety orders.
What is Base level or Support Level?
Base level or Support Level refers to the lowest price level that was reached before the moment the price started increasing again. At that level, you can notice that buyers of some cryptocurrencies make a strong reaction.
In this strategy we can also reverse the strategy and go short. But i must warn you that that is alot riskier.
QFL is meant to be used on higher TF's like 1hr, 2hr and 4hr. But this strategy also work well on lower Timeframes.
The script also simulates DCA strategy with parameters used in 3commas DCA bots for futures trading.
Experiment with parameters to find your trading setup.
Beware how large your total leveraged position is and how far can market go before you get liquidated!
Do that with the help of futures liquidation calculators you can find online!
Included:
An internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage.
A graphic interface, so levels are clearly visible and back-test analyzing made easier.
Long & Short direction of the strategy.
Table display a summary of past trades
Vertical colored lines appear when the new maximum deviation from the original price has
been reached
All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
ATR alerts & backtestingThe Basics
Alert will trigger if the current (real time) price surpasses the high of the ATR of the previous bar. (can also be set for the Low of the ATR). Each time the follow up candle surpasses the high of the previous ATR, the background will be coloured orange. This makes back testing easier on the eye. This can be turned off.
- Colours can be changed.
- Can also set a color and alert when the current price surpasses the Low of the ATR of the previous bar.
- ATR distance can be changed.
- Can be used on different chart types.
- Can be used as entry or exits in combination with bots.
- Can display only ATR top or bottom or both.
Example
An alert will trigger if the price of the current bar surpasses the red dot (ATR) of the previous bar.
Alerts can be created on all timeframes, if this is within your Tradingview plan.
Final Words
Disclaimer: Please use it with care and at own risk. The owner of this indicator is not liable for any financial losses.
Past performance is no guarantee of future returns.
Buy and hold strategyA simple buy and hold strategy. A short or a long position can be chosen. The start date will determine the date where your position will start and end date is the date it will end. This works well as a baseline to your other existing strategies since buy and hold is just the simplest strategy available.
Cyatophilum 3Commas DCA Bot BacktesterAn indicator to backtest and automate 3Commas DCA Bots.
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█ HOW IT WORKS
The indicator allows you to replicate your bot settings and get backtest results from the Strategy Tester and also a backtest panel with additional information on the safety orders.
You can also create alerts for each of the strategy events.
█ HOW TO USE
Choose a symbol that corresponds to your bot pair and exchange.
Pick a chart time frame as small as possible, usually 1 minute. The timeframe should always be smaller or equal to the deal start conditions timeframes.
Always use regular candle type.
Configure your deal start condition . You can combine several technical indicators to trigger an entry using a AND logical gate.
Configure your profit target
Use the Take Profit feature to set a target in percentage of price. You can also make it trail.
There is also a Stop Loss feature that is turned off by default.
Configure your safety orders
Replicate the safety orders from your bot into the indicator inputs.
Check your backtest parameters
Make sure that the initial capital and order size make sense. Since it is a pyramiding strategy with safety orders, the sum of all deals should not be bigger than the initial capital.
In this example: Initial capital is 0.02 BTC, which around 600$. I used 1000$ to be safe.
If you use % equity as order size, please note that it will create compounding.
Check the fees, by default they are set to 0.1%.
I also recommend to set a slippage that corresponds to your exchange's spread.
█ FEATURES
• Strategy direction
Configure wether to go long or short.
• Deal Start Conditions
The current conditions available are:
- Up to 4 MTF Trading View ratings conditions (Buy/Sell, Strong Buy/Sell)
- Up to 4 MTF RSI with configurable start conditions (Less/Greater than, Crossing Up/Down)
- Up to 2 MTF Ultimate Oscillator with configurable start conditions (Less/Greater than, Crossing Up/Down)
- MTF BB%-20-1 (length-deviation) with configurable start conditions (Less/Greater than, Crossing Up/Down)
- MTF BB%-20-2 (length-deviation) with configurable start conditions (Less/Greater than, Crossing Up/Down)
- Up to 2 MTF TA presets with the following options (Bollinger Bands, MFI, CCI, MACD, PSAR, SMA crosses, Heikin Ashi)
• Stop Loss and Take Profit
Configure your stop loss and take profit for long and short trades.
You can also make a trailing take profit.
• DCA (Safety orders)
Create up to 100 safety orders with configurable options for step and volume scaling, take profit from total volume, base and safety order size.
• Backtest Settings
Choose a backtest period, longs or shorts, wether to use limit orders or not.
Graphics
A Configuration panel with all the indicator settings, useful for sharing/saving a strategy.
A Backtest Results panel with additional information from the strategy tester.
█ ALERTS
The indicator is using the alert() calls: it only uses 1 alert slot to send order messages for each event (Long/Short entry, stop loss, take profit, safety order). This means free TV plans can create 1 complete strategy.
To set your alert messages, open the indicator settings and scroll to the bottom of the "inputs" tab.
Create your alert after you set the messages in the indicator settings, and make sure "Any alert() function call" is set in the alert option.
█ BACKTEST RESULTS
The backtest settings used in this snapshot are the following:
Initial Capital: 1000€
Order size: 0.003 BTC
Commission: 0.1 % per order
Slippage : 1 tick
Please read the author instructions below for access.
Simple_PyramidingA simple Pyramiding / DCA Strategy. Everyday at a specified time a position is opened. The individual position is closed when a take profit is triggered. Optionally a stop loss can be activated, or the option to close the position at the and of the time frame. You can specify the max amount of open positions. The equity will be divided through the max amount of open positions.
This strategy is a result of an exploration into working with time sessions, pyramiding, for loops and possibilities to trigger individual take profits (profit) and stop loss levels (stop). This strategy is by no means a worked out and reliable strategy. Please feel free to experiment with the code in your indicators and strategies.
Krugman's Dynamic DCAThis script helps you create a DCA (dollar-cost averaging) strategy for your favorite markets and calculates the DCA value for each bar. This can be used to DCA daily, weekly, bi-weekly, etc.
Configuring the indicator:
- DCA Starting Price : the price you want to begin DCA'ing
- DCA Base Amount : the $ amount you will DCA when price is half of your starting price
- DCA Max Amount : the maximum amount you want to DCA regardless of how low price gets
The DCA scaling works exactly like the formula used to calculated the gain needed to recover from a given % loss. In this case it's calculated from the DCA Starting Price . The idea is to increase the DCA amount linearly with the increased upside potential.
[k4d] DCA SniperFrench text below / Texte en Français plus bas
TL;DR
DCA Sniper is an indicator that tells you the perfect time to do DCA, the bottoms areas are indicated by red bars, the buy signal is given when a yellow bar appears.
"DCA Sniper" aims to help you make DCA (Dollar Cost Average) smarter.
Instead of buying your cryptos at a regular rate, this script will send you an alert at an opportune moment when the prices are touching, or are close to, a bottom.
The script works on several time intervals, the smaller the interval the more signals you will get...
so you can try with several time slots and choose the one that gives you the best signals for your strategy.
How to use this indicator
The indicator scans the price evolution in real time and displays grey bars
When it detects a potential bottom, the bars become darker
When the bottom is near, the bars turn red
Finally, when a potential bottom is detected, a yellow bar is displayed => it's time to buy
Warning:
Since the indicator works in real time, a bar can change color as long as the current candle is not closed. A yellow bar may very well turn red and thus cancel the signal. So wait for the close before making a decision.
Settings
This version of the indicator has only two settings:
Use Candlesticks filter: If this box is checked, the script will try to eliminate false signals based on candlestick patterns.
Use LinReg filter: If this box is checked, the script uses the "LinReg length" value to apply a linear regression and filters out all bottoms that fall within a standard deviation of the linear regression.
Before using DCA Sniper
This indicator was not developed for trading, although it can give good potential entries.
If you use it for trading, please manage your risk well and share your feedback :)
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Résumé
DCA Sniper est un indicateur qui vous indique le moment parfait pour faire du DCA, les zones de bottoms sont indiquée par des barres rouges, le signal d'achat est donné lorsqu'une barre jaune apparait.
"DCA Sniper" a pour objectif de vous aider à faire du DCA (Dollar Cost Average) plus intelligement
Au lieu d'acheter vos crypto à un rythme régulier, ce script va vous envoyer une alerte à un moment opportun ou les prix touchent, ou sont proches, d'un bottom.
Le script fonctionne sur plusieurs intervals horaires, plus l'interval est petit plus vous aurez des signaux ...
vous pouvez donc essayer avec plusieurs tranches horaires et choisir celle qui vous donnent les meilleurs signaux pour votre stratégie.
Comment utiliser cet indicateur
L'indicateur scan l'évolution des prix en temps réel et affiche des barres grises
Lorsqu'il détecte une zone de bottom potentiel, les barres deviennent plus foncées
Lorsque le bottom est proche les barres deviennent rouges
Enfin, lorsqu'un bottom potentiel est détecté, une barre jaune s'affiche => c'est le moment d'acheter
Attention
Puisque l'indicateur fonctionne en temps réel, une barre peut changer de couleur tant que la bougie actuelle n'est pas cloturée. Une barre jaune peut très bien devenir rouge et annule donc le signal. Il faut donc attendre la cloture avant de prendre une décision.
Réglages
Cette version de l'indicateur propose seulement deux réglages :
Use Candlesticks filter : Si cette case est cochée, le script va essayer d'éliminer des faux signaux en se basant sur des patterns de bougies.
Use LinReg filter : Si cette case est cochée, le script utilise la valeur "LinReg length" pour appliquer une regression linéaire et filtre tous les bottoms qui se retrouvent au sein d'une déviation standard de la régression linéaire.
Avant d'utiliser DCA Sniper
Cet indicateur n'a pas été développé pour faire du trading, bien qu'il puisse donner de bonnes entrées potentielles.
Si vous l'utilisez pour du trading, gérer bien votre risque et partagez vos retours :)
MicroStrategy MetricsA script showing all the key MSTR metrics. I will update the script every time degen Saylor sells some more office furniture to buy BTC.
All based around valuing MSTR, aside from its BTC holdings. I.e. the true market cap = enterprise value - BTC holdings. Hence, you're left with the value of the software business + any premium/discount decided by investors.
From this we can derive:
- BTC Holdings % of enterprise value
- Correlation to BTC (in this case we use CME futures...may change this)
- Equivalent Share Price (true market cap divided by shares outstanding)
- P/E Ratio (equivalent share price divided by quarterly EPS estimates x 4)
- Price to FCF Ratio (true market cap divided by FCF (ttm))
- Price to Revenue (^ but with total revenue (ttm))
Co-relation and St-deviation Strategy - BNB/USDT 15minThis indicator based on statistical analysis. it uses standard deviation and its co-relation to price action to generate signals. and following indicators has been used to calculate standard deviation and its co-relation values. finally it is capable to identify market changes in bottoms to pic most suitable points.
1. Parabolic SAR (parabolic stop and reverse)
2. Supertrend
3. Relative strength index (RSI)
4. Money flow index (MFI)
5. Balance of Power
6. Chande Momentum Oscillator
7. Center of Gravity (COG)
8. Directional Movement Index (DMI)
9. Stochastic
10. Symmetrically weighted moving average with fixed length
11. True strength index (TSI)
12. Williams %R
13. Accumulation/distribution index
14. Intraday Intensity Index
15. Negative Volume Index
16. Positive Volume Index
17. On Balance Volume
18. Price-Volume Trend
19. True range
20. Volume-weighted average price
21. Williams Accumulation/Distribution
22. Williams Variable Accumulation/Distribution
23. Simple Moving Average
24. Exponential Moving Average
25. CCI (commodity channel index)
26. Chop Zone
27. Ease of Movement
28. Detrended Price Oscillator
29. Advance Decline Line
30. Bull Bear Power
Buy / Sell indicator light version [Crypto_BCT]The indicator is based on the search for the lowest bars in a given period (can be customized).
You can add a search for the highest bars to determine the closed order points.
You can add a filter by the value of the RSI (you can customized it separately for buying and selling).
Alerts for buying and selling are set.
It can be used to work with bots, for example 3COMMAS DCA bot.
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Signal Condition Settings:
(Buy) Lowest Bar
The closing of the current bar is lower than the closing of the bars back in this range
(Buy) RSI value <
The RSI index is below this value
(Sell) Highest Bar
The closing of the current bar is higher than the closing of bars in this range
(Sell) RSI value >
The RSI index is higher than this value
DCA Bot IndicatorName: DCA Bot Indicator
Category: Dollar Cost Average.
Operating mode: Alerts at a specific time, day of the week and day of the month.
Trades duration: N/A.
Timeframe: 1H
Suggested usage: long-term investing DCA strategies.
Entry: Only indicates the time and then the day of the week or the day of the month to buy.
Exit: As per long-term Investor’s strategy.
Usage: If you want to perform a Dollar Cost Averaging approach with:
- Daily purchases (at a specific time)
- Weekly purchases (at a specific time and day of the week)
- Monthly purchases (at a specific time and day of the month)
It is then possible to set the alert text with a preferred message or for use with trade automation systems. The green background identify the specific time chosen.
It is possible to identify through the Bias Analyzer the best time for the daily purchase.
Configuration:
- Buy Time: hour you would like to buy, please consider that the script is executed at the end of the defined time, so if you would like to buy at 2, have to put 1.
- Buy only Days of the Week: you can select the day you want.
- Buy only on Day of Month, you can specify a specific day.
Credits:
- dsteaves for inspiration
Same high/low + DCA (only long)This is an update of the previous "same high/low" strategy. This strategy can be helpful for those who look for entrance price points after level retest based on the dollar cost averaging approach.
The retest of the level is defined by two candles with the same low.
4 entrance points were calculated based on volatility (not based on ATR though) and the weights were averaged in the middle of the volatility level.
As previously, stop loss is just one tick away from a level of support and take profit based on the ATR multiplier.
Buy / Sell alert indicator [Crypto_BCT]Hello everyone!
I bring to your attention a indicator to determine the point of buy and sell purchase.
It is based on oscillators and a moving average.
It can be used to work with bots, for example 3COMMAS DCA bot.
Signal Condition Settings:
ATR
The current candle is larger than the ATR for this period
EMA
The signal is necessarily below (for buy) and above (for sell) the EMA of the specified period
(Buy) RSI low
The RSI index is below this value
(Sell) RSI High
The RSI index is higher than this value
(Buy) MFI low
The MFI index is below this value
(Sell) MFI High
The MFI index is higher than this value
(Buy) CCI low
CCI index is below this value
(Sell) CCI High
The CCI index is higher than this value
(Buy) Lowest bar from
The closing of the current bar is lower than the closing of the bars back in this range
(Sell) Highest bar from
The closing of the current bar is higher than the closing of bars in this range
(Buy) Lowest EMA bar ago
During a given distance back, the EMA value only decreased
(Sell) Highest EMA bar ago
At a given distance back, the EMA value only increased
I hope it will be useful!
DCA RSI Add funds exit simulatorThis script helps with planning on how to exit DCA deals that are in the negative.
The following deal information is required
- Current average position price
- Funds invested
- Required take profit
Additional indicator settings are
- The date/time on which to start the simulator
- Minimum deviation % to start adding funds
- Expected bounceback from when funds are added
The RSI trigger
Adding funds is triggered when the selected RSI settings yield a value that is at or beyond the selected threshold.
How it works
The amount of funds needed are calculated based on the supplied settings, such that the new average price matches the expected bounceback.
It will also show if the exit strategy has failed to hit the TP (this happens when the RSI threshold is hit again)
Average Total Price From BottomThis is an indicator to help determine where the bottom of the market is currently based on the average close of the previous cycle. This is an idea from @Jay_DCA on YouTube and I thought it would be fun to code. Enjoy!
How to use:
Specify the date at which the bottom of the markets occurred. I added two extra cycle inputs for future usability. So, when the current bottom is found of this bull cycle, make sure to change the date in Bottom 3.
3RSI 3CCI BB 5orders DCA strategy+This strategy is just an attempt to find the indicator values for the trading bot service that I use (link in profile). Due to the use of the “request.security” function in the code, the indicators can be redrawn, but this is not important in history. The strategy used only 5 orders for the "DCA" - bot, located at the same distance in the price overlap range. I only use this strategy when trading in pairs against bitcoin.
Эта стратегия – просто попытка подобрать значения индикаторов для сервиса торговых ботов, который я использую (ссылка в профиле). Из-за использования в коде функции «request.security» возможна перерисовка индикаторов, но на истории это не важно. В стратегии использовано всего 5 ордеров для «DCA» - бота, находящихся на одинаковом расстоянии в диапазоне перекрытия цены. Я использую данную стратегию только при торговле в парах к биткоину.
Dollar cost averaging This is a testing startergy based on dollar cost averaging and sell on high points.
QaSH DCA Ichimoku Cloud
This powerful script takes the classic Ichimoku Cloud strategy and revitalizes it by allowing the user to make multiple DCA orders on each trade. Spreading your entry through DCA orders allows you to give the entry point room to breathe, and average down your position as the volatility momentarily pulls price against you. Both long and short positions are possible, each limited to a maximum of 5 DCA orders per trade.
When the Ichimoku cloud is showing bullish direction, only long trades will be allowed. During bearish direction, short trades will be allowed.
Two additional multi-timeframe EMA's can be added and used as filters for the long and short entries.
If you like you can use as little as one entry order per trade:
Or you can use up to a maximum of 5 DCA orders
Leonardo Fibonacci DCA StrategyThis strategy consists of the following elements and can all be set by the user.
1. Enter as the price drops.
1) Selection of multi-time frame.
- 30 minutes
- 60 minutes
- 90 minutes
- More than 120 minutes
2) Selection of Order Count
- Order Count == Long entry's qty
3) Selection of First / End indent price gap
It is DCA (Dollar Cost Averaging)
- A DCA strategy is the practice of investing into a currency at preset intervals to reduce the entry price of a position over time and mitigate volatility risk.
For example,
1) Entry Time Frame = 60 minutes
2) Order Count = 10
3) First indent price = 2 %
End indent price = 10 %
=> Starting from a 1% drop in the 60 minutes candle,
10time Long Entry(1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%)
thereby getting a better average price for your position and greatly reducing risks from the consequences of volatility .
2. Target Price and Stop Loss
1) Target price : uses the Fibonacci ratio. You can also set the target ratio.
2) Stop Loss : Long entry close when the moving average line cross under the End indent price.
3) Close Deal time : Long entry close after a set period of time has passed since long entry.
You can easily find out what's related by changing the setting value after setting the strategy.
I hope it will help you. Thank you.
