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.
DCA
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
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.
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.
3Commas Visible DCA StrategyThis strategy consists of the following elements and can all be set by the user.
1. Entry by moving average cross.
1) Selection of moving average line.
- SMA(Simple Moving Average)
- EMA(Exponential Moving Average)
- HMA(Hull Moving Average)
2) Selection of Cross over / Cross under
2. Add Entry by 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,
Base Order = 10 Dollar at Price 100%
Safety Order1 = 20 Dollar at Price 90%
Safety Order2 = 40 Dollar at Price 80%
Average Price => Price 80~90%
thereby getting a better average price for your position and greatly reducing risks from the consequences of volatility.
3. Target Price and Stop Loss.
1) Target Price : Realize profits at % set from the average unit price.
2) Stop Loss : Stop Loss % set from the last safety order.
You can easily find out what's related by changing the setting value after setting the strategy.
This strategy has the following Good characteristics.
1. It informs you of the assets required according to DCA settings.
If you are short of assets, a warning sign will appear.
2. Amount of assets invested in each long entry and long entry close.
3. Visibility of the lowest purchase price line and DCA purchase location according to DCA setting.
easily check the values set in the backtest.
I hope it will help you. Thank you.
3Commas DCA Backtester + TBO3Commas DCA bot users rejoice! Have you ever wanted to know how your 3Commas DCA bot would have performed with slightly different settings? Or a different deal start condition? Another safety trade? We've combined the logic of 3Commas DCA Bots with TradingView's powerful strategy backtester to FINALLY help 3Commas users backtest their bot settings.
There are several things to be aware of with this strategy:
There is no bot assistant in TradingView, so you'll have to enter in your funds for bot trading in the "Initial capital" section in the Properties tab of the settings.
Even though you can use simultaneous deals with this strategy, there is no way on TradingView to collectively backtest multiple trading pairs with a single instance of this strategy.
We have created all of the available deal start conditions natively available in 3Commas DCA Bots PLUS the TBO and its trigger symbols (Open Long, Close Long, Cross Up, Breakout, Open Short, Close Short, Cross Down, Breakdown). The strategy uses ASAP (as soon as possible) by default.
3Commas DCA Bots use a built-in AND logic for the deal start conditions, meaning that deals will only start when ALL deal start conditions are true. This logic is included in the strategy, however we also provided the option to use OR logic, which will trigger a deal if any of the selected deal start conditions have been met.
Use your own indicators by selecting the "external" option under deal start conditions.
Cooldown between deals cannot use seconds as this is a limitation in TradingView (the strategy will only run on the current timeframe you are viewing), so this has been changed to "next bar."
Customize your backtests in our look back section. Select a specific start and end date for your back test results.
Use the strategy to send alerts directly to your 3Commas bots by providing your bot ID numbers and your email token (found in the JSON code when viewing your bot's overall settings).
Some things to keep in mind while using the back tester:
Enable Buy & Hold Equity to compare your bot strategy and settings.
The back tester can't guarantee future results based on past performance.
Stop losses will result in poor performance. Take advantage of DCA strategy and use safety trades.
Settings for the strategy shown are:
Bot type: Long
Take Profit type: % Quote
Base order: 25
Safety order: 50
Deal Start Conditions:
Custom - OR
TBO Breakout
15m Strong Buy
1h Strong Buy
4h Strong Buy
Target Profit: 4
Max Active Safety Trades: 2
Price deviation in %: 8
Safety order volume scale: 2
Safety order step scale: 2
Simultaneous deals per same pair: 3
Lookback:
2020-05-11
9999-01-01
QaSH DCA StrategyThis is a backtesting script that demonstrates the power of incorporating dollar cost averaging into your trading strategies. Catch the bottom of those lightning fast dips buy placing your limit orders ahead of time.
Four entry conditions have been included:
- ASAP mode
- Quickfinger's Luc
- Bullish pivot point
- Bearish pivot point
An EMA-based entry condition filter is included
Placement of all DCA orders is adjustable, and "take profit" % is also variable and can depend on the size of the price dip.
QaSH DCA DaytraderThis script takes advantage of the power of DCA implemented in the QaSH DCA Algorithm script, and it applies it to new entry conditions. A "Quickfingers Luc" mode has been added, which creates new entry orders whenever a level of support has been identified. If price breaks the support level and quickly drops down, the orders will already be in place to catch the dip. This method can even catch the 1-second long, 50% flash dips that occur in some exchanges.
Four entry conditions are included in this initial release : ASAP, Quickfingers Luc, Bullish Pivot point, and Bearish Pivot point
All order placements are customizable
All take profit % values are based on the average entry price
Take profit % values can change based on how big the price dip was
Entry condition filter has been added and it uses a variable timeframe EMA
Stoploss function is available
Order size can be sent in the alerts, which allows for multiple setups to be running simultaneously in one account
All alerts are sent using the new "Any alert() function call" feature, which means this indicator will only take up one alert slot to cover all entry and exit alerts
Settings advice:
- If you think price is inflated, try conservative settings that either use a stoploss and EMA filter, or no stoploss but have some of your orders placed far below the current price with increasing volume. In a bear market this will beat the buy and hold.
- If you think the market is ready for a new bull run, then try experimenting with very aggressive settings to beat the buy and hold. For example: ASAP mode with 3 layers turned on. Orders placed at 0.5%, 3%, and 5%. Volumes at 30%, 30%, and 40% respectively. No stoploss. These settings were tested on ETH and beat the buy and hold during an extreme bull market period.
QaSH DCA Algorithm 2.0This is the strategy version of the QaSH DCA Algorithm indicator. This strategy version of the script includes live trading alert functionality, so it can be considered as a replacement that makes the indicator version obsolete. With this version, features have been added and also you can take advantage of TradingView's native backtesting system for more detailed backtest results.
QaSH DCA Algorithm implements a DCA strategy that takes advantage of price volatility by buying dips to average down, and adjusting price targets as the break-even price gets lower.
How does the DCA strategy work?
When the specified entry condition has occurred, the indicator will set up several limit orders below the current price. If price goes up a specified amount, then the layers will be overwritten at the higher prices. If price goes down and fills the first layer (limit order), then the Take Profit price is plotted and will be sent in an alert. If more layers are filled, then the TP price will move down accordingly as it’s based on the average entry price (alerts on each TP update). This action of lowering the average entry and TP price mitigates your risk, and increases the likelihood of a Take Profit event happening. This script uses a simple "ASAP" mode, where each deal will start exactly 2 bars after the last trade ended. An EMA filter and stoploss function was also added for risk management.
How does this differ from other DCA bots?
1) The layer placements, order volume , and “take profit %” for each layer or “safety order” is much more customizable than what you get from other services. For example, I can choose to have my TP% change, depending on how big the price dip was. Maybe on safety order 1 I want 10% TP, but on safety order 7 might want a 2% TP.
2) The entry condition is adjustable. For example, this script has an ema filter for entries.
3) Settings optimization. You can take advantage of the replay feature and TradingView's backtest system to see how trades would have played out, and how much PnL you would have made
4) You can use this indicator on more than just crypto. You can easily set up alerts for manual trades on stocks, or you can integrate it with your stock broker API of choice and automate your trades.
5) When combining this with an automation service, you will get unmatched execution speed by running it on your dedicated machine.
6) I can offer a lifetime subscription to the indicator upon request.
What kind of market is it best used on?
QaSH DCA Algorithm is best used on assets that are volatile. That means large and frequent swings up and down. Also I recommend running this on many uncorrelated assets at the same time. Better yet, run it with a variety of different settings simultaneously on the same asset.
What settings should I use?
The default settings are decent for most markets, and provide a good balance between profit potential and downside protection, although you can use a wide variety of settings. In a strong bull market its best to either bring up your layers to catch smaller dips, or you can go big on the first few layers (maybe 4 layers, 25% on each layer for example). In a sideways or brearish market you'll want more downside protection, so you'll want the larger orders to be at lower prices, or possibly use the stoploss and EMA filter.
Orion Algo Strategy v2.0Hi everyone.
I decided to make the latest Orion Algo open to people. I don't have enough time to work on it lately, so I figured it would be best that everyone can have it to work on it. I took out some stuff from the original but it should give an idea on how things work. I made two strategies with this so far so you can use that to come up with your own. I recommend the DCA strategy because it gives you the most bang for Orion Algo's buck. It's pretty good at finding long entries.
Overall I hope you guys like this one. Also, Banano is the best crypto currency :)
-INFO-
Orion Algo is a trading algorithm designed to help traders find the highs and lows of the market before, during, and after they happen. We wanted to give an indicator to people that was simple to use. In fact we created the algorithm in such a way that it currently only needs a single input from the user. Since no indicator can predict the market perfectly, Orion should be used as just another tool (although quite a sharp one) for you to trade with. Fundamental knowledge of price action and TA should be used with Orion Algo.
Being an oscillator, Orion currently has a bias towards market volatility . So you will want to be trading markets over 30% volatility . We have plans to develop future versions that take this into account and adjust automatically for dead conditions. Also, while there are some similarities across all oscillators, what sets ours apart is the prediction curve. The prediction curve looks at the current signal values and gives it a relative score to approximate tops and bottoms 1-2 bars ahead of the signal curve. We also designed a velocity curve that attempts to predict the signal curve 2+ bars ahead. You can find the relative change in velocity in the Info panel. The bottom momentum wave is based on the signal curve and helps find overall market direction of higher time-frames while in a lower one.
Settings and How to Use them:
User Agreement – Orion Algo is a tool for you to use while trading. We aren’t responsible for losses OR the gains you make with it. By clicking the checkbox on the left you are agreeing to the terms.
Super Smooth – Smooths the main signal line based on the value inside the box. Lower values shift the pivot points to the left but also make things more noisy. Higher values move things to the right making it lag a bit more while creating a smoother signal. 8 is a good value to start with.
Theme – Changes the color scheme of Orion.
Dashboard – Turns on a dashboard with useful stats, such as Delta v, Volatility , Rsi , etc. Changing the value box will move the dashboard left and right.
Prediction – A secondary prediction model that attempts to predict a reversal before it happens (0-2bars). This can be noisy some times so make your best judgement. Curve will toggle a curve view of the prediction. Pivots will toggle bull/bear dots.
∆v – Delta v (change in velocity). This shows momentum of the signal. Crossing 0 signals a reversal. If you see the delta v changing direction, it may signify a reversal in the several bars depending on the overall momentum of the market.
Momentum Wave – Uses the signal as a macro trend indicator. Changes in direction of the wave can signify macro changes in the market. Average will toggle an averaging algorithm of the momentum waves and makes it easy to understand.
-STRATEGIES-
Simple - Just buy and sell on the dots
DCA - Uses the settings in the script for entries. If a buy dot appears then it will buy, if the price goes below the percentage it will wait for another dot before entering. This drastically improves DCA potential.
Cava Signals Backtesting/VisualizerPLEASE READ THE DESCRIPTION CAREFULLY
Trying this again, as it seems I keep violating the rules unintentionally. Moderator, please forgive me as I try to make this right.
This backtesting/visualizer script was created for me to get a visual idea of the Cava Signals indicator throughout its development time and continuous optimization.
This script is to be used on the 30-minute timeframe on supported markets, and whether I can only publish strategies on regular candles, the indicator is meant to trigger on heikin ashi candles.I understand backtesting on non-regular candles produces unrealistic results, but I emphasize that this script is more for visualization purposes rather than accurate $ amounts from the trades. The signals are used along with a dedicated bot configuration, so part of the strategy is not managed by the script, but by the bot's config.
Some behind the scenes on what we are looking at:
a combination of ema and sma crosses on different time frames (5m, 15m, 30m, 60m and 90m) - we call this the wave trend
a combination of stochastic rsi on different time frames (10m, 30m)
a combination of schaff trend cycles on different time frames (5m, 20m and 30m)
a combination of money flow index on different time frames (10m and 30m)
volume information for each supported market/pair
and a couple of other info particular to each pair
With the above combination of data points, we try to optimize our strategy for an entry, for dca'ing down in case the coin goes down as well as dca'ing up to maximize profit when a coin is going up, take profit levels when we recognize a good time to do so, and of course, a closing level. I would like to emphasize the *visualization* purpose of this script in recognizing lows, highs, and market structure to identify the important levels to signal - this script is NOT to be used for accurate backtesting, but for an idea of the overall performance of when signals are triggered.
Let me try to explain the workflow and icons you see on the chart:
The colored circles on the bottom of the chart are all buy signals; each color corresponds to a particular buy signal, we have a combination of 9 possible situations that would trigger a buy signal. Some would trigger a buy signal only in combination with other buy signals or other indicators within the script. we also display a green upwards arrow below bars when a buy signal is triggered.
The colored arrows pointing down on the top of the chart are close signals. We have a combination of 5 closing criteria each color corresponds to one, just like the buy signals do. We only close a trade in profit. If not in profit, we will look to DCA down.
DCA signals are shown by the green flag above bars. they are signals to DCA up or down depending on the trade being negative or positive. DCA'ing up or down is also managed by the bot's configuration for limits on when to accept the signal.
Take Profit levels are shown by the green diamond above bars and work in conjunction with the bot's config on when to take the signal if at all and other take profit levels. Usually, when we hit the first take profit level we move our stop loss to entry via the bot's take profit safety feature. You can see this call with the close entry named TPS .
The black bars you may see on the chart is to illustrate when the market is extended based on a particular strategy. During this period we will not trigger a buy signal unless there is a huge spike in positive volume .
The green number below the bars is the total positive delta volume on the buy candles.
On the table on the right upper corner, we show some information on the market and performance of the backtesting - for visualization purposes only!
Currently, the script is tailored to work with the following markets/pairs:
Binance Spot: ADA, ALGO, ATOM, AVAX, BNB, BTC , DOT, ETH, LINK, LUNA, MATIC, SOL, VET, XRP, XTZ
Binance Futures: BTC , ETH, ADA, ALGO, ATOM, BNB, COMP, DOT, ENJ , LINK, OCEAN, OMG, SOL, VET, XMR, XRP, XTZ, AVAX, AAVE, DOGE, LTC, LUNA, MKR , NEAR, ONT, RUNE, SUSHI, LTC, XLM , COMP, ONT, THETA, FTM , EGLD , WAVES, ONE, HTN , CHZ , HOT, MANA, CRV , RVN, BAT, ANKR, 1INCH, ALICE, ATA , AXS , CHR , COTI, NKN , RAY, REN, SRM , SXP , TLM
ByBit Inverse Perpetual: BTCUSD , ETHUSD
ByBit Futures: AAVE, ADA, ALGO, AVAX, AXS , BNB, BTC , DOT, ETH, LINK, LTC, MATIC, SOL, SUSHI, UNI , XEM, XRP, XTZ
The chosen pairs are subject to change based on the best-performing assets we are constantly analyzing.
I hope this helps to understand the script, its purpose and ideas. I hope this satisfies the community rules - it was not my intention to break them - if there's anything on the above or the script that still violates the guidelines, please let me know and accept my apologies in advance.
If anyone would like to know more, let me know in the comment section.
Thank you!
3Commas DCA Bot Strategy v1.0Introduction
The strategy attempts to implement a majority all of the settings found on the 3Commas DCA Bot setting page that can be implemented within a TradingView indicator. Specifically, it will implement the "Open new trade ASAP" and "Trading View Custom Signal" deal start conditions. In this way, you can leverage the power of TradingView's backtester to model your settings and analysis past performance as well as leverage TradingView's alert notification subsystem to send Deal Start and Close signals to 3Commas using almost any of the thousands of scripts found in the Public Library (see "What does it do and how does it do it?" section below for more information on how to do this using the RSI indicator as an example).
How is it original and useful?
This strategy is unique in that it's the only one (as of the initial publications) that can handle 28 out of 32 bot settings (88% coverage) that are found on the 3Commas bot settings page. In addition, because it is a TradingView script, you will benefit from the following:
Model your bot's configuration using the backtester on any timeframe and evaluate its performance using the chart's history.
View a table of detailed statistics pertaining to deals started and completed, win/loss rates, daily P&L, true max drawdown, and detailed statistics on bars in deal along with safety orders filled.
View a table of "Used amount for each step" as presented in 3Commas as well.
Ability to link to almost any TradingView chart indicator that provides a single data point for buy/sell signals.
Make use of the 3Commas TA Start Conditions indicator to emulate the 3Commas built-in indicators for further performance evaluation with the backtester.
How does it compare to other scripts in the Public Library?
This strategy offers a very detailed, comprehensive settings and maybe the only one (as of the initial publication) that can handle 28 out of the 32 bot settings that are found on the 3Commas bot settings page (that can be handled within TradingView, because some cannot be modeled due to chart and language constraints). Specifically, the following 3Commas bot settings and inputs are addressed with asterisks denoting specific limitation due to TradingView's platform architecture and/or constraints:
Main settings
✅ Name
❌ Exchange* (Not handled since it is inherited from chart)
⚠ Bot type* (Only Single-pair because you simply apply the indicator to as many pairs you desire in separate charts to simulate a Multi-pair setting)
Pairs
❌ Pairs* (Not handled since it is inheriting the symbol from the chart)
Strategy
✅ Strategy
❌ Profit currency* (Not handled since there is no equivalence in TradingView)
✅ Base order size / unit
✅ Safety order size / unit
✅ Start order type
Deal start condition
⚠ TradingView* (You can modify the "Technical Rating" indicator by TradingView to output a signal yourself like @TheTradingParrot has done in the TV signal for DCA backtest script)
⚠ QFL* (See Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas Edition for an alternative)
❌ Manually/API* (Not handled since there is no equivalence in TradingView)
✅ Trading View custom signal
✅ Open new trade asap
Take profit
✅ Take profit (%)
✅ Take profit type
✅ Trailing
⚠ Trailing deviation* (modified to handle TradingView's broker emulator properly)
Stop loss
✅ Stop Loss (%)
✅ Stop Loss action
⚠ Stop Loss timeout* (modified to use "bars" as the unit of measure)
Safety orders
✅ Max safety trades count (a total of 100 safety orders are supported!)
⚠ Max active safety trades count* (Not handled since there is no equivalence in TradingView)
✅ Price deviation to open safety orders (% from initial order)
✅ Safety order volume scale
✅ Safety order step scale
Advanced settings
✅ Don't start deal(s) if the daily volume is less than
✅ Minimum price to open deal
✅ Maximum price to open deal
⚠ Deal start delay (QFL and standard TV signals only)* (modified to use "bars" as the unit of measure)
✅ Cooldown between deals
✅ Open deals & stop
Close deal after timeout
⚠ The time after which, deal will be closed automatically* (modified to use "bars" as the unit of measure)
In addition to the above inputs, the script will also support the same output data points that are found on the bot settings page, which are:
Assistant
✅ Balance
✅ Max amount for bot usage (Based on current rate)
✅ Max safety order price deviation
✅ % of available balance to be used by the bot
Table (Used amount for each step)
✅ Order No.
✅ Deviation %
✅ Order Size (Base currency)
✅ Order Volume (Quote currency)
✅ Price
✅ Average price
✅ Required price
✅ Required change
✅ Total Size (Base currency)
✅ Total Volume (Quote currency)
What does it do and how does it do it?
When applied to the chart for the first time, the default settings will work to execute the "Open new trade asap" deal start condition using a take profit of 4%, a base order size of 1.335% of equity (initial capital + net profit), a safety order size of 2.003% of equity (initial capital + net profit), a safety order volume scale of 1.5, a safety order step scale of 1.21, and a max safety trades count of 8. With these settings, as you scroll through the chart's history you should see price action crossing the DCA layers (denoted with blue triangles), and a green take-profit price line will render (with green triangle denoting the crossings). Lastly, in the upper-right corner of the chart the table of DCA statistics will render showing you all the gathered data that took place since the chart's starting history until the current time.
Using the "TV Custom Signal" section will allow you to "link" other chart indicators to supply "Start" and "Close" signals for the script. For example, here's how you can use the standard RSI indicator to generate an entry signal:
1) Add the stock RSI indicator and configure it to your desire.
2) Select the "RSI" indicator in the "Chart/Indicator Data Point" input.
3) Select "Chart/Indicator Data Point" in the "Start Deal When" input.
4) Select "Less Than" in the "Is" input.
5) Select "Custom Value(s)" in the "The Value Of" input.
6) Enter "25" in the "Custom Value 1 (Single or Lower Bound)" input.
7) Select "Trading View Custom Signal" in the "Open new trade" input (in the DEAL START CONDITION section).
8) Lastly, check the checkbox with a horizontal straight line above the "Start Deal When" input.
This means that the indicator will start a deal when the "RSI indicator" is "Less Than" the value of "25".
Strategy Results
The default settings are designed to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The chart above is is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.22581% of the equity for the Base Order Size, 6.45161% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 4 with a Safety Order Volume Scale of 2, a Safety Order Step Scale of 1.53, Price Deviation To Option Safety Orders at 5.3, and a take profit of 4.5% with Trailing turned on at a deviation of 1.5%. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the strategy and obtain better desirable results. You do so by using the backtester and statistics table and observe the output values and learn how the indicator is performing in the chart history. Using this information, you can adjust the settings accordingly until you find the settings acceptable to your trading goals and risk tolerance.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Price Change Scalping Strategy v1.0 - 3Commas EditionIntroduction
This strategy implements the Price Change Scalping (PCS) strategy specifically for the 3Commas platform. The Input settings have been redesigned to match the same inputs as the 3Commas My Bot Settings page. Only the "Deal Start Condition" section will echo the required PCS-related settings found in the original Price Change Scalping Strategy v1.0 to successfully implement the strategy.
The strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements the "Start Deal" and "Close Deal" alerts for you to integrate with 3Comma's "Trading View Custom Signal" start condition. Both script versions will provide the same configuration abilities. The following list is a brief description of its usefulness:
Full support for all possible 3Commas bot settings.
Define a short or long trading strategy.
Price change data source and offset settings.
Your layering placement relative to the entry price.
Your trading parameters like take profit and stop loss offsets, trailing take profit support, exchange commission rates, trading start time, and order size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
The visibility of detailed Used Amount for Each Step table that details how each layer will be allocated for trading.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will implement the latest alert framework called "Any Alert() Function" where you can create a single alert to handle multiple events, which include:
Deal Start
Deal Close
Strategy Results
The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4881% of the equity for the Base Order Size, 4.7097% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 7 with a Safety Order Volume Scale of 1.33, and a take profit of 2% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typically takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Price Change Scalping Strategy v1.0Introduction
This strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define:
Define a short or long trading strategy.
Price change data source and offset settings.
Your layering placement relative to the entry price.
Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and order size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities:
Price Crossed Above Threshold
Price Crossed Below Threshold
Enter Long Position
Exit Long Position
Enter Short Position
Exit Short Position
Price Crossed DCA Layer 1 (Long)
Price Crossed DCA Layer 2 (Long)
Price Crossed DCA Layer 3 (Long)
Price Crossed DCA Layer 4 (Long)
Price Crossed DCA Layer 5 (Long)
Price Crossed DCA Layer 6 (Long)
Price Crossed DCA Layer 7 (Long)
Price Crossed DCA Layer 8 (Long)
Price Crossed DCA Layer 1 (Short)
Price Crossed DCA Layer 2 (Short)
Price Crossed DCA Layer 3 (Short)
Price Crossed DCA Layer 4 (Short)
Price Crossed DCA Layer 5 (Short)
Price Crossed DCA Layer 6 (Short)
Price Crossed DCA Layer 7 (Short)
Price Crossed DCA Layer 8 (Short)
Strategy Results
The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 2.74506% of the equity with a Order Size Multiplier of 1.33, using 8 total DCA layers, and a take profit of 2% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typcially takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Quickfingers Luc's Base Breaking Strategy v2.5 - 3Commas EditionIntroduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy specifically for the 3Commas platform. The Input settings have been redesigned to match the same inputs as the 3Commas My Bot Settings page. Only the "Deal Start Condition" section will echo the required QFL-related settings found in the original Quickfingers Luc's Base Breaking Strategy v2.5 to successfully implement the strategy.
The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements the "Start Deal" and "Close Deal" alerts for you to integrate with 3Comma's "Trading View Custom Signal" start condition. Both script versions will provide the same configuration abilities. The following list is a brief description of its usefulness:
The ability to define the QFL base confirmation settings, including volume analysis.
The ability to define your preferred layering strategy of either dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
The ability to define your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
The ability to define flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The ability to set the visibility & color theme of the detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to implement the QFL base-breaking strategy ion 3Commas. The strategy version leverages the full features of the TradingView backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will implement the latest alert framework called "Any Alert() Function" where you can create a single alert to handle multiple events, which include:
Deal Start
Deal Close
What does it do and how does it do it?
The strategy can be applied to any chart at any time frame, but the minimum should be no lower than 10 minutes. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in thin blue lines. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a deal session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, a table of statistics is positioned to the upper-right corner of the chart that summarize all the events that have taken place since the indicator began simulating deal sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4881% of the equity for the Base Order Size, 4.7097% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 7 with a Safety Order Volume Scale of 1.35, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
Quickfingers Luc's Base Breaking Strategy v2.5Introduction
The strategy attempts to implement a popular price action strategy by Luc Thomas (a.k.a. Quickfingers Luc) typically referred to as a QFL base-breaking strategy. The strategy revolves around price action movements that reveal “bases”, which are price levels of support that have a significant, rapid price surges called “bounces”. Once a base is revealed, the base price level is used as reference to implement multiple entries below the base using a layering technique of dollar-cost averaging to place multiple limit orders at various price levels below the base price. As price action breaks below the base price, the limit orders will be filled, and the take profit, breakeven and stop loss prices will be recalculated.
How is it original and useful?
This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define:
Base confirmation settings, including volume analysis.
Your preferred layering strategy of either Dollar-cost averaging (DCA) or grid-like layers along with precise layer placement.
Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and position size multiplication for each layer.
Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of base prices for trading.
The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization.
How does it compare to other scripts in the Public Library?
The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the QFL base-breaking strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities:
Base Created
Base Cracked
Base Respected
Any Layer Cracked
Layer 1 Cracked
Layer 2 Cracked
Layer 3 Cracked
Layer 4 Cracked
Layer 5 Cracked
Layer 6 Cracked
Layer 7 Cracked
Layer 8 Cracked
Layer 9 Cracked
Layer 1 Respected
Layer 2 Respected
Layer 3 Respected
Layer 4 Respected
Layer 5 Respected
Layer 6 Respected
Layer 7 Respected
Layer 8 Respected
Take Profit Crossed
Stop Loss Crossed
What does it do and how does it do it?
It is recommended that you start with a chart that is on an hourly timeframe with the "Scale Price Chart Only" chart setting enabled. When applied to the chart for the first time, the default settings will work to render base price levels in orange and 8 DCA layers in blue using a Fibonacci-like sequence for the deviation offset relative to the base price. As you scroll through the chart's history you should see price action crossing the DCA layers, denoted with blue triangles, and a green take-profit line will render with green triangle denoting the crossing. Lastly, when a trade session begins upon the crossing of the first layer, the indicator will continue to identify base price levels, but the color of the price lines will be gray. When the trade session concludes upon the crossing of the take profit line, the indicator will switch the most recent base price line from gray to orange to make it active and eligible for trading.
As price action develops, the indicator will use the "Base Confirmation Settings" to look back by counting the number of bars to the left and right of a pivot low point, measure the price drops and bounces, and volume amounts to validate that they are within the specified values. If so, the indicator will draw an orange triangle beneath the candle bar to denote it as the pivot low point and begin rendering the orange line as the base price. The DCA layers will be calculated and offset relative to the base price using thin blue lines.
Optionally, the breakeven price line will be drawn to help visualize the true breakeven price which takes into consideration the exchange fees being applied. Base line, take profit, stop loss and DCA layer crossings will be denoted with colorful shapes to help visually recognize the events on the chart.
The volume is validated only at the pivot low candle. It will measure the volume against the moving average to determine base confirmation. A volume factor of 1 will mean that the volume must be at least the same value as the moving average value. A volume factor of 2 means it must be twice the moving average value.
Lastly, the very last bar will render a table of statistics that summarize all the events that have taken place since the indicator began simulating trading sessions from the chart's history.
Strategy Results
The default settings are designed to define a "weak" QFL base to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4887% of the equity with a Position Size Multiplier of 1.35, using 8 total DCA layers, and a take profit of 5% with no stop loss. All other settings are defaults.
It is recommended that the indicator be "tuned" for your specific market in order to best implement the QFL trading strategy and obtain better desirable results. You do so by using the statistics table and observe the Mean Price Drop and Bounce values to learn what the indicator is detecting when it measures from the pivot low points. Using this information, you can adjust the Base Confirmation Settings accordingly, along with any volume specifications you require, to configure the indicator for the chart.
Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol.
Enjoy! 😊👍
How to obtain access to the script?
You have two choices:
Use the "Website" link below to obtain access to this indicator, or
Send us a private message (PM) in TradingView itself.
DCA Bot Long/Short Thanks to @TheTradingParrot for the inspiration and knowledge shared.
Thanks to @ericlin0122 for the original DCA Bot Emulator which is the backbone of this strategy.
The script 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!
I`ve added:
1) an internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage.
2) I`ve built a graphic interface, so levels are clearly visible and back-test analyzing made easier.
3) now both Long & Short direction of the strategy exist.
4) trailing TP which was featured in the initial script has been removed because TV`s execution model makes
it impossible to know how the real world trailing would have unfolded.
5) the table is self explanatory, and it is there to help you discover what happened and where.
6) 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.
Known issues:
When deviation is small, and the same candle triggers safety AND the close order, the initial orders are closed, but a
new one opens on the next candle. This is "resolved" by closing the unwanted trade forcefully on the next candle, affecting
profit calculating minimally and guaranteeing that what should be closed has been closed.
The code could be improved through use of arrays, making the table flexible so the number of rows should be dynamic depending
on the number of SOs.
!!!!! IMPORTANT!!!!!
This strategy script is made to receive a signal from an exterior study script, which should plot +100 for long or -100 for short
entry (that is by default - values can be changed in the strategy settings menu). That plot should be found in "Enter Trigger" input
dropdown menu at the bottom of strategy settings menu. Removing the "and trigger == long/short_trigger" condition from strategy entry
conditions makes the strategy open trades ASAP.
Cheers!
RebalancingThis script gives you an approximation of the APR you can get when using the technique of Rebalancing.
Further discription are embeded in the script.
HOW TO USE:
- Start date: Choose start date
- Settings: Change settings to your own needs
- Base currency: Select Base currency
- Portfolio: Select the coins (MAX 9 pcs.) you want to use in your portfolio for the rebalancing algoritm
- Click "Data Window" to see the APR (appr.)
Markets:
It can be used to all markets.
NOTE:
Some Exchanges don't go very far back in the past and for this reason this may have impact on this Indicator.
Make sure the coins you selected are available at the Exchange you select in the settings section. If you dont do this, the script generates an error.
Zendog V2 backtest DCA bot 3commasHi everyone,
After a few iterations and additional implemented features this version of the Backtester is now open source.
The Strategy is a Backtester for 3commas DCA bots. The main usage scenario is to plugin your external indicator, and backtest it using different DCA settings.
Before using this script please make sure you read these explanations and make sure you understand how it works.
Features:
- Because of Tradingview limitations on how orders are grouped into Trades, this Strategy statistics are calculated by the script, so please ignore the Strategy Tester statistics completely
Statistics Table explained:
- Status: either all deals are closed or there is a deal still running, in which case additional info
is provided below, as when the deal started, current PnL, current SO
- Finished deals: Total number of closed deals both Winning and Losing.
A deal is comprised as the Base Order (BO) + all Safety Orders (SO) related to that deal, so this number
will be different than the Strategy Tester List of Trades
- Winning Deals: Deal ended in profit
- Losing deals: Deals ended with loss due to Stop Loss. In the future I might add a Deal Stop condition to
the script, so that will count towards this number as well.
- Total days ( Max / Avg days in Deal ):
Total Days in the Backtest given by either Tradingview limitation on the number of candles or by the
config of the script regarding "Limit Date Range".
Max Days spent in a deal + which period this happened.
Avg days spent in a deal.
- Required capital: This is the total capital required to run the Backtester and it is automatically calculated by
the script taking into consideration BO size, SO size, SO volume scale. This should be the same as 3commas.
This number overwrites strategy.initial_capital and is used to calculate Profit and other stats, so you don't need
to update strategy.initial_capital every time you change BO/SO settings
- Profit after commission
- Buy and Hold return: The PnL that could have been obtained by buying at the close of the first candle of the
backtester and selling at the last.
- Covered deviation: The % of price move from initial BO order covered by SO settings
- Max Deviation: Biggest market % price move vs BO price, in the other direction (for long
is down, for short it is up)
- Max Drawdown: Biggest market % price move vs Avg price of the whole Trade (BO + any SO), in the other
direction (for long price goes down, for short it goes up)
This is calculated for the whole Trade so it is different than List of Trades
- Max / Avg bars in deal
- Total volume / Commission calculated by the strategy. For correct commission please set Commission in the
Inputs Tab and you may ignore Properties Tab
- Close stats for deals: This is a list of how many Trades were closed at each step, including Stop Loss (if
configured), together with covered deviation for that step, the number of deals, and the percentage of this
number from all the deals
TODO: Might add deal avg value for each step
- Settings Table that can be enabled / disabled just to have an overview of your configs on the chart, this is a
drawn on bottom left
- Steps Table similar to 3commas, this is also drawn on bottom left, so please disable Settings table if you want
to see this one
TODO: Might add extra stats here
- Deal start condition: built in RSI-7 or plugin any external indicator and compare with any value the indicator plots
(main purpose of this strategy is to connect your own studies, so using external indicator is recommended)
- Base order and safety orders configs similar to 3commas (order size, percent deviation, safety orders,
percent scale and volume scale)
- Long and Short
- Stop Loss
- Support for Take profit from base order or from Total volume of the deal
- Configs help (besides self explanatory):
- Chart theme: Adjust according to the theme you run on. There is no way to detect theme at the moment.
This adjust different colors
- Deal Start Type: Either a builtin RSI7 or "External indicator"
- Indicator Source an value: If using External Indicator then select source, comparison and value.
For example you could start a deal when Volume is greater than xxxx, or code a custom indicator that plots
different values based on your conditions and test those values
- Visuals / Decimals for display: Adjust according to your symbol
- BO Entry Price for steps table: This is the BO start deal price used to calculate the steps in the table
Keltner Worm Strategy [PrismBot] [Lite]Included in this Keltner Worm Lite Strategy:
✔️ Tweak a multitude of specific settings (MA lengths, R:R, SL distance etc)
✔️ Enable advanced setup filters
✔️ Use money management and risk calculations
✔️ Draw trade info directly to chart (eg. SL size in percent, win rate etc)
✔️ Use various filters (eg. time filter, date filter, MA slope angle etc)
✔️ Manage risk per position when auto-trading forex through AutoView
✔️ Choose from various alert conditions!
✔️ Sync to any bot or algorithmic trading system
Some details about this strategy:
- it incorporates 2 strategies - Keltner Re-entry and Baseline MA Crossing
- it uses a take profit and stop loss level fixed
- there are up to 6 allowable "worms"
- the worm multipliers are exponential, so a value of 2 will mean that the 6th worm is multiplied by 6
- you can multiply the offset or the Keltner Channel default values
- You can enable alerts for order entry, take profit, and stop loss values
- You can easily enable and disable strategies using the checkbox.
- This strategy incorporates a risk to reward system where the user can select between ATR and Percent based stop losses and take profit targets. This means that the user has much better control over money management when utilizing this strategy and it doesn't require you to babysit the strategy to ensure it's entering and existing strategies in an ideal place.
