7-RSI strategyHello, I've only been trying to learn PineScript for two months on my own, here I am posting a version of the strategy for a grid bot with 20 orders, order size 5%, earlier I tried to find something similar, but could not. Perhaps others, those who, like me, are just starting to learn PineScript, will find something useful. In the process of using grid bots, I noticed that the RSI indicator is sufficient, so the strategy uses 7 RSI indicators on different timeframes, but it is not necessary to use all 7, usually 3 is enough, therefore, by default, the RSI values are set to limit so that there is no effect on the settings of others. The step between bot orders is set in the settings. The code can of course be simplified, but it's better for understanding, I think.
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Stochastic TrendDear community,
I've made another simple trading bot for you to use. This bot is based on the Stochastic Oscillator. It only produces long trades currently.
I changed the oscillation period to a much longer one, which in turn creates opportunities to trade long term trends.
The bot goes long when the Entry lines is crossed from below and it will close its long position once the Exit line has been crossed from above.
RSI Mean Reversion Bot StrategyI started developing this strategy as a way to plug in and test values before defining them in the bots on 3Commas, Coinrule, and Quadency. None of those bots performed the same way my script did and I kept working on it until the strategy finally yielded the same simulated results when paired with the Tradingview bot on Quadency. I looked at all the different RSI strategies already published and saw what each was missing and changed it in mine to make it better:
1. Backtest an actual timeframe by date and time
2. Define the RSI price source
3. Fully manipulate the RSI length
4. Define a stop loss that works
5. Pick Long or Short, or both, based on market conditions. Or compare side by side to decide which you want.
Strategy - Bobo Intraday Swing Bot with filtersThis is an adapted version of my swing bot with additional filters that mean it works quite well on lower timeframes like 1min, 5 mins as long as you adjust the setting accordingly (reduce pivot timescale, band width)
Entry conditions are filtered by an invisible trend calculation running in the background so the bot doesn't repeatedly try and fail to fade a strong trend. It has just about everything you should need for basic use, stop losses and targets, automatically close trade at pivot.
I get good results on rangey instruments like major indices such as SPX / ES that kind of thing. Make sure you understand the minmum tick value of an index so the stop setting on the bot work properly
Hope it's useful!
Dolar/Tl Trend bot / Daily chartDolar/Tl Trend bot / Daily chart.
bot should be used for daily chart.
Bot günlük grafikte kullanılır.
ck - Inner Bars Strategy v1*** Please check out the matching Indicator to accompany this Strategy to allow you to fully backtest! ***
Inner Bar trading strategy is where the "inside" bar (or candle to the right) within a pair is smaller and within the high to low range of the prior bar, as this pattern tends to be somewhat predictable; especially in "chop" or sideways trading, it is useful to have in your tool box.
Features include:
Complimentary Indicator you can add as well as this strategy to backtest and tune your settings before live trading
Trailing Stoploss to wring every cent from a trade
Indicator only: Clear Alert labels have been coded in for use with trading bots, 3commas is recommended.
Enable/Disable Shorts in addition to Longs
A further feature is that you can disable Shorts (therefore only Longing) for use with exchanges
that only allow you to Long, such as Binance & Coinbase.
Additionally, this Indicator will close a trade before opening the next, so a single exchange
account (BitMEX for example) is all that is required versus having separate accounts to long or
short on the same chart.
This strategy is intended to use $100 of capital, traded at 2.5% per order with 10x lev on Bitmex.
If you like my work, please use my referral links (you will receive discounts!)
3commas trading bots (now with Bitmex support and a lot more!) - 3commas.io
BitMEX - www.bitmex.com
If you have any comments or suggestions, please message me via TradingView.
Based on the core "Inner Bars" concept found at:
backtest-rookies.com
with original inspiration/idea from babypips.com
Crypto Signals Bot - AutoTrader Strategy - BitcoinVery excited to release our new fully automated trading bot specifically for Bitcoin.
We use this system with AutoView to trade on Bitmex and it is specifically designed for Bitcoin on the 2 Hour charts.
It includes everything you will need:
AutoTrader Strategy
AutoTrader Indicator
All Alerts Syntax for AutoView
This has been producing amazing results and is a fully automated trading system that will take buys (long) and sells (short) on Bitcoin with supported crypto exchanges.
To signup, go to this URL: www.cryptosignalsbot.com
BRETT Entry/TP/SL Bot + S/RBRETT Entry/TP/SL Bot + S/R
This Pine Script strategy automatically spots your custom entry signals and immediately calculates the corresponding Take-Profit, Stop-Loss, and key Support & Resistance levels on any chart.
**Key Features:**
* **Dynamic Entry**: Triggers on your defined “BRETT” condition (e.g. MA crossover), capturing the exact bar close as the entry price.
* **Flexible Risk/Reward**: Use the inputs to set TP and SL as a percentage of entry (default 1%), ideal for intraday and swing setups.
* **Auto Support/Resistance**: Plots the highest high and lowest low over the last N bars (default 20) to highlight major price barriers.
* **Visual Lines**: Entry (blue), TP (green), SL (red), Support & Resistance (gray) lines update live on the chart.
* **Instant Alerts**: Fires a multi-line `alert()` containing Entry, TP, SL, Support & Resistance, plus a “not binding advice” disclaimer—perfect for webhooks or push notifications.
**How to Use:**
1. Add the script to your chart and publish it as a **Strategy**.
2. Create a TradingView alert selecting **“BRETT Entry/TP/SL Bot + S/R alert()”** as the condition.
3. (Optional) Enable **Webhook URL** to send signals into n8n, Telegram, Slack, etc.
Customize the TP/SL percentages and S/R lookback in the inputs to match your trading style. This all-in-one tool helps automate your trade setups and keeps your risk parameters crystal-clear.
Pionex Signal Bot (Single Position)Pionex Signal Bot (Single Position) Script - Created by Jon (Pionex)
Basic code functionality for Pionex users to get started with Signal Bot
Grid Bot BacktestingBinance, Bybit, Bitget, and other cross-exchange (grid) trading bot backtesting.
Auto bound: Automatically setting upper and lower price bounds.
Manual: Setting upper and lower price bounds manually.
The graph below represents the overall asset changes (initial investment amount + current position profit + grid profit).
Try using backtesting when setting up a grid bot on the exchange!
바이낸스, 바이비트, 비트겟 등 교차거래(그리드) 봇 백테스팅
Auto bound : 자동으로 상,하단 가격 설정
Manual : 직접 상,하단 가격 설정
아래 그래프는 총 자산 변화입니다.(초기투자금액 + 현재 포지션 수익 + 그리드 수익)
거래소에서 그리드 봇 설정할 때 백테스팅 유용하게 써보세요!
TENKAN SCALPER STRATEGYTENKAN SCALP is a fully automatic trading system.
It is a continuation of our previous ichimoku release. This time however we throw out the rule book and use ICHIMOKU in a very different way.
It applies non traditional money management tactics.
While most trading strategies rely on a stop loss and a take profit target to manage risk. This strategy uses either no stop loss at all or a time based stop loss.
You might ask yourself the question why would you keep a trade open if it goes against you? Here are a phew reasons why the script does what it does.
Forex Markets consolidate most of the time. If you wait long enough your Take Profit will get hit anyways most of the time
You don't have to risk everything per trade. I keep my orders small so to keep some powder to get into some more trades
All the extra trades you take while one trade is in drawdown limit the drawdown as they provide cashflow
On lower timeframes the markets are so chaotic that a stop loss is very likely to get hit by a wick
About backtest below
This backtest uses a spread of 2 pips for entries and a default position size of 100% of equity. This is only possible on exchanges where spread is low and you have 10:1 leverage or more. It does not represent results obtainable without leverage. Do take into account that there are a lot of forex exchanges that provide this leverage, however a 2 pip spread is not always guaranteed and only applies to major pairs.
This backtest does not use the TIME BASED STOPS functionality.
Always start with small position sizing and see how the strategy performs before adding risk.
Explanation of variables:
Chikou(lagging span): pink line, this is price plotted 26 bars ago. People ignore the power of this it is crucial to see how chikou behaves towards past price action as seen in the chart below where we got an entry at red arrow because chikou bounced from past fractal bottom.
Kijun-Sen(base line): Black line or color coded line. This is the equilibrium of last 26 candles. To me this is the most important line in the system as it attracts price.
Kijun = (Highest high of 26 periods + Lowest low of 26 periods) ÷ 2
Tenkan-Sen(conversion line): Blue line. This is the equilibrium of last 9 candles. In a strong uptrend price stays above this line.
Tenkan = (Highest high of 9 periods + Lowest low of 9 periods) ÷ 2
Senkou A (Leading span A)= Pink cloud line, this is the average of the 2 components projected 26 bars in the future.
Senkou A = (Tenkan + Kijun) ÷ 2
Senkou B (Leading span B) = Green cloud line, this is the 52 day equilibrium projected 26 bars in the future.
Senkou B = (Highest high of prior 52 periods + Lowest low of prior 52 periods) ÷ 2
projection: Script uses same function for variable calculation and substracts a number on each next bar as to make a projection of where the variable will be in future bars if price stayed the same. This works as ICHIMOKU calculations use the middle point of a past set of data. The shorter that amount of bars will be in line with the data that it will be restricted to in future if price stayed the same.
Detection of Market Environment
To enter trades the script uses a lot of ICHIMOKU concepts. Contrary to how most people trade ICHIMOKU this script takes an environment that ICHIMOKU identifies as trending upwards and shorts in that environment. The same will be applied to a downtrend where it will open LONGS.
List of CRITERIA for a trend:
Grapling Hook: this is a component based on the chikou span (closing price displaced 26 bars into the past). The script will use an ATR based range to define a possible future projection to the CHIKOU line. For a market to be bullish there should be no price action happening within this area. Market is free to move upwards. Vice versa for bearish .
Kumo Cloud: script will check if price is above the cloud for bullish trend and below cloud for bearish trend .
Chikou above Kijun: script will check if the chikou line is above the KIJUN line of 26 bars ago. This is further confirmation that price is trending high enough compared to it's past data. Vice versa for downtrend.
Kijun projection: script will check if past Kijun is lower than future projected Kijun. This to ensure we get an equilibrium in our favour in the future. Vice versa for downtrend
Tenkan projection: script will check if future Tenkan-sen will be higher than Kijun-sen for an uptrend. Vice versa for downtrend.
Cloud projection: script will check if in 9 bars the Senkou Span A will be higher than Senkou Span B for an uptrend. Vice versa for downtrend.
Example:
This script does not visualise the prediction lines like I show in the example. I show them here to clarify how the script works.
Usage
Backtests are not indicative of future results, although a trader may want to use a strategy script to have a deeper understanding of how their strategy responds to varying market conditions, or as a tool for identifying possible flaws for a strategy that may be indicative of good or bad performance in the future.
Strategy Settings:
Minimum Body Size (atr): this is the minimum ATR a signal bar needs to be for entry. This is useful because our TP is based on previous bar.
Lot size per trade: this setting does not impact backtest. It is used to for the signals to let tradingconnect.com know your position size.
Direction: do you want to trade longs or shorts. I personally use both a long bot and a short bot at the same time.
Positions Allowed: the amount of positions the script will keep open as a maximum. You do not want to open too many positions, this is for risk management.
Close all positions at drawdown: if total open positions loss gets to this % target it will close all positions.
MetaTrader Prefix: when the script sends a signal it will put this text right before the symbol name from syminfo.ticker
MetaTrader Suffix: when the script sends a signal it will put this text right after the symbol name from syminfo.ticker
Charts below are some examples on how the script handles orders on default settings:
without time based SL
with time based SL
how it handles pyramiding
www.tradingview.com
Tradingconnector.com:
For full automation of the forex market the script uses this connector to execute trade on MT4. The alerts the script sends using the alerts() function call are structured in a way tradingconnector will recognise and send directly to MT4. You can find documentation about this tool on their own website.
Personal recommendation is to start with a minimum lot size and track performance, if you are comfortable scale the size up. You can do that by increasing the lot size setting in the script and making a new alert. Make sure to delete the old one.
How to access
You can see the Author's Instructions below to visit our telegram to get more information on how to get access.
Wunder Volatility botWunder Volatility bot
We have used the Average True Range (ATR) in many of its trading versions.
1. ATR with MA. This indicator includes the ATR as well as the simple moving average, which helps to restore the expected market.
2. We apply percentage based ATR to determine how volatile the market is and whether to buy or sell at that time. For trading, we will filter the market and make trades only within the specified range. This range will adjust depending on the asset, so you will need to change the settings if you are trading multiple assets.
3. A function for calculating risk on the portfolio (your deposit) has been added to the Wunder Volatility bot script. When this option is enabled, you get a calculation of the entry amount in dollars relative to your Stop Loss. In the settings, you can select the risk percentage on your portfolio. The loss will be calculated from the amount that will be displayed on the chart.
For example, if your deposit is $1000 and you set the risk to 1%, with a Stop Loss of 5%, the entry volume will be $200. The loss at SL will be $10.10, which is your 1% risk or 1% of the deposit.
**Important!** The risk per trade must be less than the Stop Loss value. If the risk is greater than SL, then you should use leverage.
The amount of funds entering the trade is calculated in dollars. This option was created if you want to send the dollar amount from Tradingview to the exchange. However, putting your volume in dollars you get the incorrect net profit and drawdown indication in the backtest results, as TradingView calculates the backtest volume in contracts.
To display the correct net profit and drawdown values in Tradingview Backtest results, use the ”Volume in contract” option.
ETH long bot - 8hrThis is a high-latency algorithm, safely running on the Ethereum 8hr chart where it can execute trades on a multi-day timeframe, making it easy to enter and exit large positions and without incurring excessive commission fees.
As a long bot, this script should be ran in markets that are trending upwards. Nonetheless, the operator can be at ease knowing that the script can safely run autonomously during these extended periods. It is shown here performing full-time over a 46 month period, from January 2019 through October 2021, steadily increasing the available capital despite the asset's fluctuations. While the buy and hold return over this time was 714%, the algorithm produced a net profit 4,060%, outperforming the market by over 5.5x. This equates to a 40x return on investment in 4 years.
The strategy behind this algorithm is to always capitalize on significant jumps in the market. This is accomplished by using a simple combination of RSIs:
- One RSI uses VWAP as a source, which is primarily responsible for entering growth trends whenever they begin
- The other is a Stochastic RSI , which is primarily responsible for identifying exhausted periods of growth
These calculations are calibrated so that the bot can jump in and out of trades to improve its position when there isn't significant price action one way or the other, but is then able to remain in positions during uptrends that are backed by volume to achieve maximum gains. This strategy is reflected by the fact that while profitable trades are almost 3 times larger than losing trades, on average, they also last for an average of 6 days, whereas losing trades usually last about 2.
Buy Sell Bot StrategyHello Everyone,
In this strategy, I benefited from the values of RSI and wave trend indicators, which are the oldest and most used indicators in the market. I contributed to this bi-valued indicator myself with a bivariate formula. My variables are actually a simple intersection algorithm, the intersection of the wave trend indicator and the RSI indicators when they are oversold or overbought.
As you all know, we can send signals to bot sites via tradingview. You can use bot signals boxes in this strategy. You can analyze past transactions in the Date settings section. In the indicator settings section, you can change the settings of the overbought and oversold zones. Perhaps the most important feature here is the USE SELL SIGNALS section. I would like to emphasize this section in particular that when you mark the use sell signal section, the strategy will be processed in the buy section and will not be processed in the sell section. If you do not click on the USE SELL SIGNALS section, the strategy will be processed in the buy section, but this time it will be exited when the target in the take profit section is reached. THIS WAS IMPORTANT.
There is another important point here. Always in position and USE SELL SIGNALS sections do not work together. Run these two features one by one. It is a strategy that is constantly in operation through the name of the Always in position feature, I do not recommend it. The USE PERCENTAGE DECREASE feature, on the other hand, is the section where we want the share to drop as a percentage to enter the second trade after the first purchase is made in the settings section if you activate the pyramiding feature. You can use the tradingview help page for the pyramiding feature.
I found this strategy suitable to use in the 1-hour time frame in the crypto market and adjusted it that way. Of course, you can use it by changing the settings in stocks and in different time periods. big wins
GRID SPOT TRADING ALGORITHM - GRID BOT TRADING STRATEGYGRID SPOT TRADING ALGORITHM : LONG ONLY STRATEGY OPEN SOURCE
This is a long only strategy for spot assets.
HOW IT WORKS
Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging).
FEATURES
Grids: This algorithm has a total of 10 grids.
Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, the distance between one grid and another represents the take profit.
Management: The algorithm buys 10% of the capital every time the price breaks down a grid and sells during a rise to the next higher grid. The initial capital is invested in 10 sizes which represent 10% of the capital per trade.
Stop Loss: The algorithm knows no stop loss as long as it is not activated from the User Interface panel. By activating the stop loss from the User Interface panel the algorithm will insert a close condition on all trades which will be calculated from the last lower grid.
Trades: Trades are opened only if the price is within the grid. If the market leaves the grid the algorithm will not buy new positions or sell new positions.
Optimal market conditions: The favorable market for this algorithm is the sideways market.
LIMITATIONS OF THE MODEL
The trader must take into account that this is a static model. It only works perfectly well if the market is in a sideways phase and incurs heavy losses if the market takes a downward trend. The model is unusable for an uptrend. The trader must therefore carefully analyze the market where he intends to use this strategy, making sure that the price is in a sideways phase.
USES
Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy (Kucoin, Binance etc.).
If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us.
If you need help in using this tool, please contact us without hesitation.
gangood bot for FinandyGangood is a mean reversion algorithm currently optimized for trading the ETH/USDT pair on the 1 hour chart time frame. All indicator inputs use the closing price of the period, and all trades are executed at the open of the period following the period in which the trading signal was generated.
To take into account slippage, the commission costs 0.15%.
Backtest result from 2020.
Result since 2019 2,500,000%, maximum drawdown 18%
This bot uses 11 indicators:
1) ADX
2) RANGE FILTER
3) SAR
4) RSI
5) TWAP
6) JMA
7) MACD
8) VOLUME DELTA
9) VOLUME WEIGHT
10) MA
11) TSI
Pattern 1:
There are 3 main components that make up Gangood: I. Trend Filter. The algorithm uses a version of the ADX indicator as a trend filter to only trade during certain time periods when price is most likely to be range-bound (i.e., average retracement). This indicator consists of a fast ADX and a slow ADX both using the same lookback period.
The ADX is smoothed with a 6-period EMA and the slow ADX is smoothed with a 12-period EMA. When the fast ADX is above the slow ADX , the algorithm does not trade because it indicates that the price is most likely trending, which is bad for a mean reversion system. Conversely, when the fast ADX is below the slow ADX, the price is likely to be in a range, so this is the only time the algorithm is allowed to trade. II. Bollinger Bands When the trend filter allows trading, the algorithm uses Bollinger Bands.
Indicator for opening long and short positions. The Bolliger Bands indicator has a 20 lookback period and a 1.5 standard deviation for both the upper and lower bands. When the price crosses the lower band, a buy signal is generated and a long position is opened. When the price crosses the upper band, a sell signal is generated and a short position is opened.
Pattern 2:
Based on RSI which is commonly used as a trend reversal indicator. However, here it is used as a trend-setting indicator, often with great success. This pattern only takes long trades, which is quite successful in a bull market.
Pattern 3:
Long or short trades are determined by the intersection of the fast EMA with the slow EMA for long positions and vice versa for short positions. Trades should only occur close to intersections. We then use the MACD for the long position. an indicator with a 10-minute time frame where we look for high peaks in negative values for longs and vice versa for shorts. They should be significantly higher than the other peaks.
Capital Management:
The maximum leverage in this strategy, I would recommend 2x, in order to trade without unnecessary risks and keep your nerves in order.
Bot setup:
I use the Finandy terminal, in which you can easily trade with this strategy.
1. We go to binance and turn on the hedging mode, this is necessary so that if tradingview sends a webhook for buying later than for selling.
2. Adding a new signal to Finandy
2.1. Open tab
2.1.1. "Order side" Strategy
2.1.2. "Amount" Balance% x Leverage
2.1.3. We set the percentage of the order two times less than the one you want
2.1.4. "Shoulder" is twice as large as the one you want
2.2.Close tab
2.2.1. "Enebaled" tick
2.2.2. "Reverse / Close" Disable
3. Set a notification for this strategy.
4. Copy "Signal URL" and paste it into webhook on tradingview
5. Copy "Signal Message" and paste it into the message on tradingview
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
Zendog Backtest-DCA-Bot-3commasHi everyone,
This is a strategy that serves as a basic Backtester for 3commas DCA bots.
You can plugin your own studies into the Backtester, play around with their parameters as well with the DCA parameters and see how they can provide best result on historical data.
Features:
- Meaningful statistics that actually group orders under the same deal.
(base order + safety orders are the same deal, but Tradingview Strategy Tester shows them as separate trades)
See how many safety orders were used for each deal.
- Deal start condition: built in RSI-7 or external indicator
(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)
- Support for Long strategy for now (plan to add Short)
SAR Bollinger botThis bot based on SAR , Bollinger ,Pivot and modifiy Low scaner (on my page)
the buy and sell based on sar cross above or bellow the Bollinger
with more signals from the other indicator that I wrote above
for best result try to set up correctly the take profit
seems to be a good bot with no repaint
NIFTY BotMade this bot for my old friend from India that was with me in medical school many years ago:)
this bot have non security MTF
seems to be very good at long not so nuch at short
work best from 15-to 2 hor charts
can work on other stuff then Nifty
exit is by progressive take profit sethere to 1, 3,7,10%
where you take profit 1/4 each time you buy again
stop loss at 10%
you can change the buy sell system either by the non security MTF (this still need to be improved)
the real control is the Len which control the system which is based on similar logic to donchian channel with my modifications
So it set to 100, higher buy and sell less ,lower then that will buy and sell more. if you do so' try to figure best take profit to any change you do
i hope later i can put a study version as well
Crypto bot New versionOk this strategy is for those who want to take risks but to do it smartly
based on a modified version of as buy entry
the exit is mix of highest of pivot and fib level (similar to pivot bot that i put early but with my improve setup)
this bot is non repaint one as no security attach to it
set to 10% of lot and 10X levrage
it very good for longs (quite shity for shorts:)
the exit control by high time frame and the factor (set to 2.2)
the buy is control bu HTF
this is my setting for Ethereum
the take profit is set to take at each point 25% and then to move forward with it (5,10,20,30%)
in a bullish market as we are now this is logical setting. in bearish one you need to set your target lower
there is no repaint here
as you see the strategy start from 2018 when ether was around 1300 and despite what happen in the market it was making very decent profit
Risk management is key for winning so if you use my strategy be aware that this strategy is a very slow one but in long term seems to be very good
try to find the settings that suite you
use the factor to see if it make the exit better or worse
the strategy can work on other assets not just crypto but you need to find the best settings for it
ECG BotSo this is just a proff of concept. the name is ECG (it look similar:) as a Senior ER doctor (my daily work) I had to design something similar:) . so before i explain in detail. I need to ask you some questions? can we take change the way security work? no. can we control repaint ? no one know. maybe ? probably not:) .
So what the aim to do it? curiuosity ....and maybe to make something that actualy work?...
The ecg model is actualy a rsi where I took two MTF . one repainting , the other one is not . and then the difference between the repaint and the non repaint allow me to create the this special rsi. in the strategy you find ability of non repaint which will tell you that the non repaint version is totaly worthless and you will lose if you use it. on the other hand the repaint one is working as charm. but it still stupid repaint.
So in privoius strategy i try to control the repaint but sadly it was only partly working (look on test me and rsi bot in my scripts lists in my page.
here the aim was different: can i take out the strong repainting signals and remove the all the noise (those shity buy and sell that send us to bancrupcy:) ?
So first step was to slow down the close state so it still allow repaint but not as drastic as regular close state which totaly unpredictle.
once it done . i move to next step . which is to keep only the ones that are true signal , diregard the noise.
So how to operate this model?
the model will buy if ECG line pass upper treshold. will selll if pass lower treshold. stronger signal are seems to be real and weaker signal seems to be false. so the treshold is a way to seperate between the false and the true.
next you have repaint control - which need to be set at the same or above the candle you use. my setting are optimised for etherium 1 hour . if you use other asset or other chart time. then you need to configure where is the point where it the real signal will look similar or exact to the repaint one. for this you need to use the bar replay and see which treshold work the best to filter bad signals.
for BTC 1 hour candles. the setting will be different (repaint control 75 , upper treshold 75 and lower treshold -80)
for etherium it repaint control 60 and and upper =75,lower=-75
you can also find a way to control the smoothness which is set to 1,4,5 now. (fast ,slow,curve) . i preffer not so uch to touch this setting but more to play with the setting above in order to remove bad signals.
So this bot not intend to say it not repaint . no. it is. but its aim is to send to us only the strong repaint signal out. and removing the bad crazy ones out .
So if you have questions about it? just write me or put bellow and i try my best to figure out. you need to becarfull when you play with money so if you plan to invest using this signals make sure you check this system at list a week as demo before you put 1 cent on it. and use the bar repaly . in any case you need the bar replay for adjusting the treshold and the repaint control to find optimum of filter out option.
888 BOT #backtest█ 888 BOT #backtest
This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade.
It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode.
Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage.
It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following:
1. Jurik Moving Average
It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA, DEMA, AMA or T3.
There are two ways to decrease noise using JMA. Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag'
The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost.
Green: Bullish, Red: Bearish.
2. Range filter
Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term.
First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'.
The filter is then calculated by adjusting price movements that do not exceed the specified range.
Finally, the target ranges are plotted to show the prices that will trigger the filter movement.
Green: Bullish, Red: Bearish.
3. Average Directional Index (ADX Classic) and (ADX Masanakamura)
It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'.
The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold.
The red color of the bars indicates that the trend is down and that the ADX is above the threshold level.
The orange color of the bars indicates that the price is not strong and will surely lateralize.
You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation.
4. Parabolic SAR
This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns (SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend.
5. RSI with Volume
This indicator was created by LazyBear from the popular RSI.
The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices.
LazyBear added a volume parameter that makes it more accurate to the market movement.
A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish.
6. Moving Average Convergence Divergence (MACD) and (MAC-Z)
It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals.
We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line.
There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP (volume weighted average price) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation.
7. Volume Condition
Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement.
With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume, the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line.
The maximum leverage is 8.
8. Bollinger Bands
This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph.
The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average)
The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average)
The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average.
the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance.
In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing.
Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit.
█ STOP LOSS and RISK MANAGEMENT.
A good risk management is what can make your equity go up or be liquidated.
The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%.
% Risk: (% Stop Loss x % Equity per trade x Leverage) / 100
First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa.
In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED'
'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state.
█ BACKTEST
The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as:
- RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown.
- PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5.
- SHARPE: (Return system - Return without risk) / Deviation of returns.
When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters.
- MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss).
To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0
The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well.
PARAMETERS
'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest.
'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars.
'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section.
'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition.
The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 30 minutes.
For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
█ 888 BOT (SPANISH)
Este es un Expert Advisor 'EA' o script de trading automatizado para ‘longs’ y ‘shorts’, el cual, utiliza solo un Take Profit o, en el peor de los casos, un Stop Loss para cerrar el trade.
Es una versión muy mejorada del anterior ‘Repanocha’. No utiliza ‘Trailing Stop’, ni funciones ‘security()’ (aunque usar una función security no significa que el script repinte) y todas las señales son confirmadas, por consiguiente, el script no repinta en modo alertas y es preciso en en el modo backtest.
Aparte de los anteriores indicadores se han añadido algunos más y otras funciones para Stop-Loss, de re-entrada y apalancamiento.
Utiliza 8 indicadores, (muchos ya sabéis sobradamente lo que son, pero por si hay alguien nuevo), son los siguientes:
1. Jurik Moving Average
Es una media móvil creada por Mark Jurik para profesionales la cual elimina el ‘lag’ o retardo de la señal. Es mejor que otras medias móviles como la EMA, DEMA, AMA o T3.
Hay dos formas de disminuir el ruido utilizando JMA. El aumento del parámetro 'LENGTH' hará que JMA se mueva más lentamente y, por lo tanto, reducirá el ruido a expensas de añadir ‘lag’
Los parámetros 'JMA LENGTH', 'PHASE' y 'POWER' ofrecen una forma de seleccionar el equilibrio óptimo entre ‘lag’ y sobre impulso.
Verde : Alcista, Rojo: Bajista.
2. Range filter
Creado por Donovan Wall, su función es la de filtrar o eliminar el ruido y poder determinar mejor la tendencia del precio a corto plazo.
Primero, se calcula un rango de precio promedio uniforme 'SAMPLING PERIOD' para la base del filtro y se multiplica por una cantidad específica 'RANGE MULTIPLIER'.
A continuación, el filtro se calcula ajustando los movimientos de precios que no exceden el rango especificado.
Por último, los rangos objetivo se trazan para mostrar los precios que activarán el movimiento del filtro.
Verde : Alcista, Rojo: Bajista.
3. Average Directional Index (ADX Classic) y (ADX Masanakamura)
Es un indicador diseñado por Welles Wilder para medir la fuerza y dirección de la tendencia del mercado. El movimiento del precio tiene fuerza cuando el ADX tiene pendiente positiva y está por encima de cierto nivel mínimo 'ADX THRESHOLD' y para un periodo dado 'ADX LENGTH'.
El color verde de las barras indica que la tendencia es alcista y que el ADX está por encima del nivel establecido por el threshold.
El color Rojo de las barras indica que la tendencia es bajista y que el ADX está por encima del nivel de threshold.
El color naranja de las barras indica que el precio no tiene fuerza y seguramente lateralizará.
Se puede elegir entre la opción clásica y la creada por un tal 'Masanakamura'. La diferencia principal entre los dos es que en el primero utiliza RMA() y en el segundo SMA() en su cálculo.
4. Parabolic SAR
Este indicador, creado también por Welles Wilder, coloca puntos que ayudan a definir una tendencia. El Parabolic SAR puede seguir al precio por encima o por debajo, la particularidad que ofrece es que cuando el precio toca al indicador, este salta al otro lado del precio (si el Parabolic SAR estaba por debajo del precio salta arriba y viceversa) a una distancia predeterminada por el indicador. En este momento el indicador vuelve a seguir al precio, reduciendo la distancia con cada vela hasta que finalmente es tocado otra vez por el precio y se vuelve a iniciar el proceso. Este procedimiento explica el nombre del indicador: el Parabolic SAR va siguiendo al precio generando una característica forma parabólica, cuando el precio lo toca, se para y da la vuelta (SAR son las siglas en inglés de ‘stop and reverse’), dando lugar a un nuevo ciclo. Cuando los puntos están por debajo del precio, la tendencia es alcista, mientras que los puntos por encima del precio indica una tendencia bajista.
5. RSI with Volume
Este indicador lo creo un tal LazyBear de TV a partir del popular RSI.
El RSI es un indicador tipo oscilador utilizado en análisis técnico y creado también por Welles Wilder que muestra la fuerza del precio mediante la comparación de los movimientos individuales al alza o a la baja de los sucesivos precios de cierre.
LazyBear le añadió un parámetro de volumen que lo hace más preciso al movimiento del mercado.
Una buena forma de usar el RSI es teniendo en cuenta la línea central de 50 'RSI CENTER LINE'. Cuando el oscilador está por encima, la tendencia es alcista y cuando está por debajo la tendencia es bajista.
6. Moving Average Convergence Divergence (MACD) y (MAC-Z)
Fue creado por Gerald Appel. Posteriormente se añadió el histograma para anticipar el cruce de medias. A grandes rasgos podemos decir que el MACD es un oscilador consistente en dos medias móviles que van girando en torno a la línea de cero. La línea del MACD no es más que la diferencia entre una media móvil corta 'MACD FAST MA LENGTH' y una media móvil larga 'MACD SLOW MA LENGTH'. Es un indicador que nos permite tener una referencia sobre la tendencia del activo sobre el cual se está operando, generando de este modo señales de entrada y salida del mercado.
Podemos hablar de mercado alcista cuando el histograma del MACD se sitúe por encima de la línea cero, junto con la línea de señal, mientras que hablaremos de mercado bajista cuando el histograma MACD se situará por debajo de la línea cero.
Está la opción de utilizar el indicador MAC-Z creado por LazyBear que según su autor es más eficaz, por utilizar el parámetro VWAP (precio medio ponderado por volumen) 'Z-VWAP LENGTH' junto con una desviación standard 'STDEV LENGTH' en su cálculo.
7. Volume Condition
El volumen indica el número de participantes en esta guerra entre toros y osos, cuanto más volumen más probabilidad de que se mueva el precio a favor de la tendencia. Un volumen bajo de negociación indica un menor número de participantes e interés por el instrumento en cuestión. Los bajos volúmenes pueden revelar debilidad detrás de un movimiento de precios.
Con esta condición se filtran aquellas señales cuyo volumen es inferior a la SMA de volumen para un periodo 'SMA VOLUME LENGTH' multiplicado por un factor 'VOLUME FACTOR'. Además, determina el apalancamiento utilizado, a más volumen, más participantes, más probabilidad de que se mueva el precio a nuestro favor, es decir, podemos utilizar más apalancamiento. El apalancamiento en este script lo determina las veces que está el volumen por encima de la línea de la SMA.
El apalancamiento máximo es de 8.
8. Bollinger Bands
Este indicador fue creado por John Bollinger y consiste en tres bandas que se dibujan superpuestas al gráfico de evolución del precio.
La banda central es una media móvil, normalmente se emplea una media móvil simple calculada con 20 períodos. ('BB LENGTH' Número de periodos de la media móvil)
La banda superior se calcula sumando al valor de la media móvil simple X veces la desviación típica de la media móvil. ('BB MULTIPLIER' Número de veces la desviación típica de la media móvil)
La banda inferior de calcula restando a la media móvil simple X veces la desviación típica de la media móvil.
la franja comprendida entre las bandas superior e inferior contiene, estadísticamente, casi un 90% de las posibles variaciones del precio, lo que significa que cualquier movimiento del precio fuera de las bandas tiene especial relevancia.
En términos prácticos, las bandas de Bollinger se comporta como si de una banda elástica se tratara de manera que, si el precio las toca, éste tiene mucha probabilidad de rebotar.
En ocasiones, después de rellenarse la orden de entrada, el precio se devuelve hacia el lado contrario. Si toca la banda de Bollinger se rellena otra orden en la misma dirección de la posición para mejorar el precio medio de entrada, (% MINIMUM BETTER PRICE': Precio mínimo para que se ejecute la re-entrada y que sea mejor que el precio de la posición anterior en un % dado) de esta manera damos una oportunidad al trade de que el Take Profit se ejecute antes. La desventaja es que se dobla el tamaño de la posición. 'ACTIVATE DIVIDE TP': Divide el tamaño del TP a la mitad. Más probabilidad de que se cierre el trade pero menos ganancias.
█ STOP LOSS y RISK MANAGEMENT.
Una buena gestión de las pérdidas o gestión del riesgo es lo que puede hacer que tu cuenta suba o se liquide en poco tiempo.
El % de riesgo es el porcentaje de nuestro capital que estamos dispuestos a perder por operación. Este se aconseja que debe estar comprendido entre un 1-5%.
% Risk = (% Stop Loss x % Equity per trade x Leverage) / 100
Primero se calcula la estrategia con Stop Loss, después se determina el riesgo por operación y a partir de ahí se calcula el monto por operación y no al revés.
En este script puedes usar un Stop Loss normal o uno según el ATR. También activar la opción de que salte antes si se alcanza el porcentaje de riesgo. '% RISK ALLOWED'
'STOP LOSS CONFIRMED': Solamente se activa el Stop Loss si el cierre de la barra anterior se encuentra en la condición de límite de pérdidas. Es útil para evitar que se dispare el SL cuando hacen un ‘pump’ para barrer Stops y luego se devuelve el precio a la normalidad.
█ BACKTEST
El objetivo del Backtest es evaluar la eficacia de nuestra estrategia. Un buen Backtest lo determinan algunos parámetros como son:
- RECOVERY FACTOR: Consiste en dividir el ‘beneficio neto’ entre el ‘drawdown’. Un excelente sistema de trading tiene un recovery factor de 10 o más; es decir, genera 10 veces más beneficio neto que drawdown.
- PROFIT FACTOR: El ‘Profit Factor’ es otra medida popular del rendimiento de un sistema. Es algo tan simple como dividir lo que ganan las operaciones con ganancias entre lo que pierden las operaciones con pérdidas. Si la estrategia es rentable entonces por definición el ‘Profit Factor’ va a ser mayor que 1. Las estrategias que no son rentables producen factores de beneficio menores que uno. Un buen sistema tiene un profit factor de 2 o más. Lo bueno del ‘Profit Factor’ es que nos dice lo que vamos a ganar por cada dolar que perdemos. Un profit factor de 2.5 nos dice que por cada dolar que perdamos operando vamos a ganar 2.5.
- SHARPE: (Retorno sistema – Retorno sin riesgo) / Desviación de los retornos.
Cuando las variaciones de ganancias y pérdidas son muy altas, la desviación es muy elevada y eso conlleva un ratio de ‘Sharpe’ muy pobre. Si las operaciones están muy cerca de la media (poca desviación) el resultado es un ratio de ‘Sharpe’ bastante elevado. Si una estrategia tiene un ratio de ‘Sharpe’ mayor que 1 es una buena estrategia. Si tiene un ratio de ‘Sharpe’ mayor que 2, es excelente. Si tiene un ratio de ‘Sharpe’ menor que 1 entonces no sabemos si es buena o mala, hay que mirar otros parámetros.
- MATHEMATICAL EXPECTATION:(% operaciones ganadoras X ganancia media) + (% operaciones perdedoras X pérdida media).
Para ganar dinero con un sistema de Trading, no es necesario ganar todas las operaciones, lo verdaderamente importante es el resultado final de la operativa. Un sistema de Trading tiene que tener esperanza matemática positiva como es el caso de este script.
El juego de la ruleta, por ejemplo, tiene esperanza matemática negativa para el jugador, puede tener rachas positivas de ganancias, pero a la larga, si se sigue jugando se acabará perdiendo, y esto los casinos lo saben muy bien.
PARAMETROS
'BACKTEST DAYS': Número de días atrás de datos históricos para el calculo del Backtest.
'ENTRY TYPE': Para % EQUITY si tienes 10000$ de capital y seleccionas 7.5% tu entrada sería de 750$ sin apalancamiento. Si seleccionas CONTRACTS para el par BTCUSDT sería la cantidad en Bitcoins y si seleccionas CASH sería la cantidad en dólares.
'QUANTITY (LEVERAGE 1X)': La cantidad para una entrada con apalancamiento X! según el apartado anterior.
'MAXIMUM LEVERAGE': Es el máximo multiplicador permitido de la cantidad introducida en el apartado anterior según la condición de volumen.
Los settings son para Bitcoin en Binance Futures (BTC:USDTPERP) en 30 minutos.
Para otro pares y otras temporalidades se tienen que ajustar las opciones de nuevo. Además para dentro de un mes, los ajustes serán otros distintos ya que el mercado y la tendencia es cambiante.
