HatiKO EnvelopesPublished source code is subject to the terms of the GNU Affero General Public License v3.0
This script describes and provides backtesting functionality to internal strategy of algorithmic crypto trading software "HatiKO bot".
Suitable for backtesting any Cryptocurrency Pair on any Exchange/Platform, any Timeframe.
Core Mechanics of this strategy are based on theory of price always returning to Moving Average + Envelopes indicator (Moving_average_envelope from Wiki)
Developement of this script and trading software is inspired by:
"Essential Technical Analysis: Tools and Techniques to Spot Market Trends" by Leigh Stevens (published on 12th of April 2002)
"Moving Average Envelopes" by ChartSchool, StockCharts platform (published on 13th of April 2015 or earlier)
"Коля Колеснік" from Crypto Times channel ("Метод сетка", published on 19th of August 2018)
"3 ways to use Moving Average Envelopes" by Rich Fitton, published on Trader's Nest (published on 28st of November 2018 or earlier)
noro's "Robot WhiteBox ShiftMA" strategy v1 script, published on TradingView platform (published on 29th of August 2018)
"Moving Average Envelopes: A Popular Trading Tool" Investopedia article (published 25th of June 2019)
and KROOL1980's blogpost on Argolabs ("Гридерство или Сетка как источник прибыли на форекс", published on 27th of February 2015)
Core Features:
1) Up to 4 Envelopes in each direction (Long/Short)
2) Use any of 6 different basis MAs, optionally use different MAs for Opening and Closure
3) Use different Timeframes for MA calculation, without any repainting and lookahead bias.
4) Fixed order size, not Martingale strategy
5) Close open position earlier by using Deviation parameter
6) PineScript v4 code
Options description:
Lot - % from your initial balance to use for order size calculation
Timeframe Short - Timeframe to use for Short Opening MA calculation, can be chosen from dropdown list, default is Current Graph Timeframe
MA Type Short - Type of MA to use for Short Opening MA calculation, can be chosen from dropdown list, default is SMA
Data Short - Source of Price for Short Opening MA calculation, can be chosen from dropdown list, default is OHLC4
MA Length Short - Period used for Short Opening MA calculation, should be >=1, default is 3
MA offset Short - Offset for MA value used for Short Envelopes calculation, should be >= 0, default is 0
Timeframe Long - Timeframe to use for Long Opening MA calculation, can be chosen from dropdown list, default is Current Graph Timeframe
MA Type Long - Type of MA to use for Long Opening MA calculation, can be chosen from dropdown list, default is SMA
Data Long - Source of Price for Long Opening MA calculation, can be chosen from dropdown list, default is OHLC4
MA Length Long - Period used for Long Opening MA calculation, should be >=1, default is 3
MA offset Long - Offset for MA value used for Long Envelopes calculation, should be >= 0, default is 0
Mode close MA Short - Enable different MA for Short position Closure, default is "false". If false, Closure MA = Opening MA
Timeframe Short Close - Timeframe to use for Short Position Closure MA calculation, can be chosen from dropdown list, default is Current Graph Timeframe
MA Type Close Short - Type of MA to use for Short Position Closure MA calculation, can be chosen from dropdown list, default is SMA
Data Short Close - Source of Price for Short Closure MA calculation, can be chosen from dropdown list, default is OHLC4
MA Length Short Close - Period used for Short Opening MA calculation, should be >=1, default is 3
Short Deviation - % to move from MA value, used to close position above or beyond MA, can be negative, default is 0
MA offset Short Close - Offset for MA value used for Short Position Closure calculation, should be >= 0, default is 0
Mode close MA Long - Enable different MA for Long position Closure, default is "false". If false, Closure MA = Opening MA
Timeframe Long Close - Timeframe to use for Long Position Closure MA calculation, can be chosen from dropdown list, default is Current Graph Timeframe
MA Type Close Long - Type of MA to use for Long Position Closure MA calculation, can be chosen from dropdown list, default is SMA
Data Long Close - Source of Price for Long Closure MA calculation, can be chosen from dropdown list, default is OHLC4
MA Length Long Close - Period used for Long Opening MA calculation, should be >=1, default is 3
Long Deviation - % to move from MA value, used to close position above or beyond MA, can be negative, default is 0
MA offset Long Close - Offset for MA value used for Long Position Closure calculation, should be >= 0, default is 0
Short Shift 1..4 - % from MA value to put Envelopes at, for Shorts numbers should be positive, the higher is number, the higher should be Shift position, example: "Shift 1 = 1, shift 2 = 2, etc."
Long Shift 1..4 - % from MA value to put Envelopes at, for Longs numbers should be negative, the lower is number, the lower should be Shift position, example: "Shift 1 = -1, shift 2 = -2, etc."
From Year 20XX - Backtesting Starting Year number, only 20xx supported as script is cryptocurrency-oriented.
To Year 20XX - Backtesting Final Year number, only 20xx supported as script is cryptocurrency-oriented.
From Month - Years starting Month, optional tweaking, changing not recommended
To Month - Years ending Month, optional tweaking, changing not recommended
From day - Months starting day, optional tweaking, changing not recommended
To day - Months ending day, optional tweaking, changing not recommended
Graph notes:
Green lines - Long Envelopes.
Red lines - Short Envelopes.
Orange line - MA for closing of Short positions.
Lime line - MA for closing of Long positions.
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Опубликованный исходный код регулируется Условиями Стандартной Общественной Лицензии GNU Affero v3.0
Этот скрипт описывает и предоставляет функции бектеста для внутренней стратегии алгоритмического программного обеспечения "HatiKO bot".
Подходит для тестирования любой криптовалютной пары на любой бирже/платформе, на любом таймфрейме.
Кор-механика этой стратегии основана на теории всегда возвращающейся к значению МА цены с использованием индикатора Envelopes (Moving_average_envelope from Wiki)
Разработка этого скрипта и программного обеспечения для торговли вдохновлена следующими источниками:
Книга "Essential Technical Analysis: Tools and Techniques to Spot Market Trends" Ли Стивенса (опубликовано 12 апреля 2002 года)
«Moving Average Envelopes» от ChartSchool, платформа StockCharts (опубликовано 13 апреля 2015 года или раньше)
«Коля Колеснік» с канала Crypto Times («Метод сетка», опубликовано 19 августа 2018 года)
«3 ways to use Moving Average Envelopes» Рича Фиттона, опубликованные в «Trader's Nest» (опубликовано 28 ноября 2018 года или раньше)
Скрипт стратегии noro "Robot WhiteBox ShiftMA" v1, опубликованный на платформе TradingView(опубликовано 29 августа 2018 года)
«Moving Average Envelopes: A Popular Trading Tool», статья Investopedia (опубликовано 25 июня 2019 года)
Блог KROOL1980 из Argolabs («Гридерство или Сетка как источник прибыли на форекс», опубликовано 27 февраля 2015 года)
Основные особенности:
1) До 4-х Ордеров в каждом из направлении (Лонг / Шорт)
2) Выбор из 6-ти разных базовых МА, опционально используйте разные МА для открытия и закрытия.
3) Используйте разные таймфреймы для расчета MA, без перерисовки и "эффекта стеклянного шара".
4) Фиксированный размер ордера, а не стратегия Мартингейла
5) Возможность закрытия открытой позиции заблаговременно, используя параметр Deviation
6) Код реализован на PineScript v4
Описание параметров:
Lot - % от вашего первоначального баланса, используется при расчете размера Ордера
Timeframe Short - таймфрейм, используемый для расчета МА Открытия Шорт позиций, может быть выбран из списка, по умолчанию - таймфрейм текущего графика
MA Type Short - тип MA, используемый для расчета МА Открытия Шорт позиций, может быть выбран из списка, по умолчанию SMA
Data Short - источник цены для расчета МА Открытия Шорт позиций, может быть выбран из списка, по умолчанию OHLC4
MA Length Short - период, используемый для расчета МА Открытия Шорт позиций, должен быть >= 1, по умолчанию 3
MA Offset Short - смещение значения MA, используемого для расчета Шорт Ордеров, должно быть >= 0, по умолчанию 0
Timeframe Long - таймфрейм, используемый для расчета МА Открытия Лонг позиций, может быть выбран из списка, по умолчанию - таймфрейм текущего графика
MA Type Long - тип MA, используемый для расчета МА Открытия Лонг позиций, может быть выбран из списка, по умолчанию SMA
Data Long - источник цены для расчета МА Открытия Лонг позиций, может быть выбран из списка, по умолчанию OHLC4
MA Length Long - период, используемый для расчета МА Открытия Лонг позиций, должен быть >= 1, по умолчанию 3
MA Offset Long - смещение значения MA, используемого для расчета Лонг Ордеров, должно быть >= 0, по умолчанию 0
Mode close MA Short - Включает отдельное MA для закрытия Шорт позиции, по умолчанию «false». Если false, MA Закрытия = MA Открытия
Timeframe Short Close - таймфрейм, используемый для расчета МА Закрытия Шорт позиций, может быть выбран из списка, по умолчанию - таймфрейм текущего графика
MA Type Close Short - тип MA, используемый при расчете МА Закрытия Шорт позиции. Mожно выбрать из списка, по умолчанию SMA
Data Short Close - источник цены для расчета МА Закрытия Шорт позиций, может быть выбран из списка, по умолчанию OHLC4
MA Length Short Close - период, используемый для расчета МА Закрытия Шорт позиции, должен быть >= 1, по умолчанию 3
Short Deviation - % отклонения от значения MA, используется для закрытия позиции выше или ниже рассчитанного значения MA, может быть отрицательным, по умолчанию 0
MA Offset Short Close - смещение значения MA, используемого для расчета закрытия Шорт позиции, должно быть >= 0, по умолчанию 0
Mode close MA Long - Включает разные MA для закрытия Лонг позиции, по умолчанию «false». Если false, MA Закрытия = MA Открытия
Timeframe Long Close - таймфрейм, используемый для расчета МА Закрытия Лонг позиций, может быть выбран из списка, по умолчанию - таймфрейм текущего графика
MA Type Close Long - тип MA, используемый при расчете МА Закрытия Лонг позиции. Mожно выбрать из списка, по умолчанию SMA
Data Long Close - источник цены для расчета МА Закрытия Лонг позиций, может быть выбран из списка, по умолчанию OHLC4
MA Length Long Close - период, используемый для расчета МА Закрытия Лонг позиции, должен быть >= 1, по умолчанию 3
Long Deviation -% для перехода от значения MA, используется для закрытия позиции выше или ниже рассчитанного значения MA, может быть отрицательным, по умолчанию 0
MA Offset Long Close - смещение значения MA, используемого для расчета закрытия Лонг позиции, должно быть >= 0, по умолчанию 0
Short Shift 1..4 - % от значения MA для размещения Ордеров, для Шорт Ордеров должен быть положительным, чем выше номер, тем выше должна располагаться позиция Shift, например: «Shift 1 = 1, Shift 2 = 2 и т.д. "
Long Shift 1..4 - % от значения MA для размещения Ордеров, для Лонг Ордеров должно быть отрицательным, чем ниже число, тем ниже должна располагаться позиция Shift, например: «Shift 1 = -1, Shift 2 = -2, и т.д."
From Year 20XX - Год начала тестирования, из-за ориентированности на криптовалюты поддерживаются только значения формата 20хх.
To Year 20XX - Год окончания тестирования, из-за ориентированности на криптовалюты поддерживаются только значения формата 20хх.
From Month - Начальный месяц, опционально, менять не рекомендуется
To Month - Конечный месяц, опционально, менять не рекомендуется
From day - Начальный день месяца, опционально, менять не рекомендуется
To day - Конечный день месяца, опционально, менять не рекомендуется
Пояснения к графику:
Зеленые линии - Лонг Ордера.
Красные линии - Шорт Ордера.
Оранжевая линия - MA Закрытия Шорт позиций.
Лаймовая линия - MA Закрытия Лонг позиций.
Cerca negli script per "bot"
9KSCALPBOT 5x 15-min StrategyThis scalp bot uses low leverage to scalp small but high certainty movements on the 15-minute timeframe. Its amazing proprietary feature addresses the common problem of accumulated losses due to excessive stop-lossing -- this is done by assessing macro trends on higher timeframes when underwater, and then riding the position out until profitable again. You will get an average of about 1 entry and 1 exit per day.
The core logic uses a modified combination of CCI and Schaff Trend oscillators and a proprietary pattern recognition mechanic. Leverage should be kept low (5X or less) as the algorithm could temporarily go significantly underwater as well as pyramid (stack) same direction entries up to five times before closing. Any leverage higher than 5X significantly increases risk of liquidation. This bot has been consistently backtested for 10 months with about 75-85% win rate, 100%+ 3-month profitability, very low ~5% drawdown, all after factoring typical BitMex fees (0.06% after counting affiliate self-referral).
As with any automated strategy, it does not account for black swan events or disruptions in server connectivity (e.g., BitMex overload errors).
Vilarso BotThis script is a trading strategy that is based on mathematical calculations of the average price on a chart for a certain period of time (EMA).
It is recommended to use an indicator (script Vilarso Bot) using a chart with a time frame of 1 hour. On other timeframes, the trading strategy will be less effective.
The indicator (script Vilarso Bot) is well suited for intraday trading strategy. Inside the day, on the 1 hour timeframe, the indicator determines high and low price values. You must also take into account the direction of the trend, since in the lateral movement the flat indicator can (locally) mislead you.
It is recommended to use with additional technical analysis tools, which are also built into the functionality.
Before applying this indicator, be sure to study its behavior on the history of the chart!
UT Bot StrategyUT Bot indicator was inially developer by @Yo_adriiiiaan
Idea of original code belongs @HPotter
I just took code of Yo_adriiiiaan, cleaned it, deleted all useless pieces of code, transformet to v4 and created a strategy from it.
Also I added an input that allows you to swich to signals from Heiking Ashi. I saw that author uses HA for the indicator and on HA it look much nices then on real candles.
Do not add this strategy to HA candles, use usual candles and this checkbox.
Original script:
Cyatophilum Scalping Bot V2 [ADVANCED SETTINGS] [BACKTEST]Advanced Settings version of Cyatophilum Scalping Bot V2
For people who like tweaking settings =)
Cyatophilum Scalping Bot V2 [BACKTEST]Improved version of Cyatophilum Scalping Bot
Default settings for BITMEX:XBTUSD
2% stop loss
2% trailing take profit
Tangram Bot 2 - SmartbotPrimeira Versão do Script Tangram Bot 2 da Smartbot para tradingview.
A intenção é agilizar e fazer um teste prévio e rápido do setup.
O resultado indicado aqui jamais corresponderá a um resultado real. É apenas uma ferramenta de estudo.
Ainda falta fazer e melhorar a parte de gestão de risco.
Caso queria fazer alguma sugestão ao cógido para melhorar a gestão de risco ou caso tenha encontrado algum erro, favor comunicar.
O tangram bot 2 combina o uso de até dez Indicadores de Análise Técnica com Gerenciamento de Risco (stop gain, stop loss, stop móvel, realização parcial, bloqueio de reversões, lucro máximo por dia e prejuízo máximo por dia) e Filtros Diversos (sentido das operações, uso do after-market, bloqueio de nova entrada após saída, hora inicial e hora final para negociação). São utilizados os indicadores Médias Móveis, HiLo Activator, MACD, ADX, Estocástico, VWAP, IFR, Bandas de Bollinger, Stop ATR e SAR Parabólico
Cryptocurrency trend following EMA Ribbon LONG only strategyThis strategy is based on EMA Ribbon and uses multiple indicators to find optimal time to enter/exit the trade and filter out false signals. The script with default setting is developed mainly for trading altcoins/stable coin pair such as ADA/USDT etc on 4h timeframe but it can be applied to any pair/any timeframe with some settings adjustments.
For plot on chart features make sure that you have both study and strategy scripts on chart with same settings.
Strategy settings description:
1. Signal EMA Length - Value for exponencial moving average (slowest from EMA Ribbon)
1a. Buy price toleration (%) - Price deviation for filtering bounces of EMA - price must close defined percents above EMA to open long trade
1b. Sell price toleration (%) - Price deviation for filtering bounces of EMA - price must close defined percents bellow EMA to close long trade
1c. EMA deelay - EMA id delayed by defined bars for smoothening
2. Filter by Fast EMA - Strategy filters signals to prevent buy while coin is dropping
2a. Fast EMA Length - Value for fast exponencial moving average
3. Filter by SMA - Strategy filters signals to confirm trend change
3a. SMA Length - Value for simple moving average
4. Filter by RSI - Strategy filters signals to prevent buing/selling overbought/oversold coins
4a. RSI Length - Length of RSI identificator
4b. RSI Source candle - What price of candle is used for RSI calculation (open, close, high, low)
4c. RSI Long condition - When buy, RSI indicator must be below this value to prevent of buying already overbought coin
4d. RSI Short condition - When sell, RSI indicator must be above this value to prevent of selling already oversold coin
5. RSI Close Trade Condition - Strategy sell coin once RSI reach defined value
5a. RSI close trade condition - Sell once RSI indicator acquires defined value
6. Close trade by Take Profit or Stop Loss Condition (STRATEGY ONLY) - Strategy sell coin once defined take profit / stoploss level is reached
6a. Take Profit (%) - Take profit value in percent
6b. Stop Loss (%) - Stop loss value in percent
6c. Plot targets on chart - defined targets will be plotted as lines on chart
7. Date range from
7a From Year - To run strategy in interval
7b From Month - To run strategy in interval
7c From Day - To run strategy in interval
8. Date range to
8a To Year - To run strategy in interval
8b To Month - To run strategy in interval
8c To Day - To run strategy in interval
9. Wait to confirm the signal
9a Wait candless to buy - strategy will wait defined candless to confirm the signal before buy
9b Wait candless to sell - strategy will wait defined candless to confirm the signal before sell
10. Plotting on chart (STUDY ONLY)
10a Plot signal line channel with bows on chart
10b Plot simple moving average on chart
10c Plot EMA Ribbon on chart
10d Plot recent support and resistance levels on chart
11. Show Every signal (STUDY ONLY) - Unchecked shows only first signal based on strategy. But if you use take profit/stoploss settings within your bot, you might want to rebuy on next signal. Checked shows signal on each candle.
Throw on chart also buld-in RSI indicator and set the same as strategy
Notice that there might be false signals, especially when the coin is not trending or is strongly manipulated. Overall strategy is profitable though. You just take some minor loses and wont miss the big move.
You may also consider to compare buy&hold return vs profit from trading this strategy. In downtrend as we have seen recently, profit may not be as high as you expect but it is still much better than just hold and hope.
You can use the strategy script for fine tunning settings and find best settings for yourself.
Study script helps you to automate trading with use of alerts perharps with 3commas bot or even trade manually based on email/sms notification setted by tradingview
Notice that study script does not handle takeprofit/stoploss order. That is why sell arrows could be plotted by study script later than strategy script. To rebuy after takeprofit/stop-loss use "11. Show Every signal (STUDY ONLY)" setting
Make sure that you keep same settings for strategy and study scripts.
If you need any help with settings do not hesitate to ask. I would also appriciate any feedback and ideas how to improve this script.
Here is backtest result from 1. Nov 2018 using constant 100USD Buy ammount:
Cryptocurrency trend following LONG only strategyThis strategy uses multiple indicators to find optimal time to enter/exit the trade. The default setting is mainly for trading bitcoin/stable coin pair such as USDT etc on 1h timeframe but it can be applied to any pair/any timeframe with some settings adjustments.
Strategy settings description:
ID Name Descrption
1 FastMA - Value for fast exponencial moving average
2 SlowEMA - Value for slow exponencial moving average
3 SMA - Value for simple moving average
4 RSI Length - Length of RSI identificator
5 RSI Source candle - What price of candle is used for RSI calculation (open, close, high, low)
6 RSI Long condition - When buy, RSI indicator must be below this value to prevent of buying already overbought coin
7 RSI Short condition - When sell, RSI indicator must be above this value to prevent of selling already oversold coin
8 RSI close trade condition - Sell once RSI indicator acquires defined value
9 Take Profit (%) - Take profit value in percent
10 Stop Loss (%) - Stop loss value in percent
11 Long price toleration (%) - Price deviation for filtering bounces of simple moving average - price must close defined percents above SMA to open long trade
12 Short price toleration (%) - Price deviation for filtering bounces of simple moving average - price must close defined percents bellow SMA to close long trade
13 From Year - To run strategy in interval
14 From Month - To run strategy in interval
15 From Day - To run strategy in interval
16 To Year - To run strategy in interval
17 To Month - To run strategy in interval
18 To Day - To run strategy in interval
19 Show every signal? - (Study only) Unchecked shows only first signal based on strategy. But if you use take profit/stoploss settings within your bot, you might want to rebuy on next signal. Checked shows signal on each candle.
Notice that there are also false signals, especially when the coin is not trending or is strongly manipulated. Overall strategy is profitable though. You just take some minor loses and wont miss the big move.
You may also consider to compare buy&hold return vs profit from trading this strategy. In downtrend as we have seen recently, profit may not be as high as you expect but it is still much better than just hold and hope.
You can use the strategy script for fine tunning settings and find best settings for yourself
Study script helps you to automate trading with use of alerts perharps with 3commas bot or even trade manually based on email/sms notification setted by tradingview
Make sure that you keep same settings for strategy and study scripts.
If you need any help with settings do not hesitate to ask. I would also appriciate any feedback and ideas how to improve this script.
Here is backtest result from 23.08.2017:
inwCoin SUPER HMA StrategyImproved version of inwCoin HMA Aggressive Strategy.
Filter out random trade from sideway period and wait for trend only.
Work very well on BTCUSD3M at OKEX with leverage 20x ( with the help of trailing start/stop bot, of course )
If you have OKex bot/ Or plan to write one. This strategy is the best bet.
If you want sourcecode, I can give you for 0.1 BTC :) Send BTC to address below and IM me for acknowledgement.
BTC : 3BmqVW8eqE3qAGdtCdYGFYKbMwEALAhSEp
Check some backtest result here : imgur.com
Backtest result for various trade% : imgur.com
Swing trade - Libertus - STRATEGYHello all.
Month of hard work, testing and fine tunning went into making of this strategy.
I wanted to be able to leave trading to bot and spend more time away from charts and this strategy finally enabled me to do just that!
It's a swing trade strategy which will always keep you in trade (if used on exchange which allows you to short).
If you use 4H time frame you'll get about 2-3 trades a week.
As you should be able to see bellow, strategy has very good profitability of 60+% in last 6 months with small drag-down and nice profits.
It's optimized for ETH on 4H time, but settings can be adapted for different assets and time frames.
Best settings for ETH 4H time frame are default 0/0 with both Filter 1 and Filter 2 enabled.
Settings can be changed in positive +1, +2, +3 etc., and negative -1, -2, -3...
Strategy profitability is based on buying and selling 10 ETH (not more, not less) in every trade. You can see +20 or -20 on every trade which means 10 ETH for closing current position and 10 ETH for opening new position. If you are trading more or less then this, you can easily calculate your profitability via this.
Indicator which could be used manually or via bot is in production, will be finished soon!
Good luck trading!
14/28 Day SMA Divergence and RSI - No RepaintIf you are interested in purchasing my algorithmic trading bot that receives Tradingview indicator alerts via email and then executes them in Bittrex, please visit my product page here: ilikestocks.com Additionally, I would love to create video/blog guides on creating Tradingview scripts or strategies. If you are a knowledgeable in finance or other related fields and would like to be featured on my page, please contact me at tanner@ilikestocks.com.
No crossovers were used in this script, and this is likely the reason for the no repaint(Correct me if wrong).
This strategy script uses a 14-day SMA signal line, a 28-day SMA and RSI. The strategy works by determining whether the (14-day SMA is above the 28-day SMA and the RSI levels are overbought(below 30)) or RSI is very overbought(below 13 or so). Once either of these conditions have been met, a long position is opened.
The initial long position must be partially closed by the take profit first and then the final close is executed if the 14-day signal SMA is below the 28-day SMA; you may also exclusively use take profit to close positions.
The green plotted spikes are the initial long position conditions. The orange plotted spikes are take profit signals once a long position is opened. The red plotted spikes are plotted when the SMA 14-day is below the 28-day SMA.
Please do leave constructive criticism or comments below because it helps me better create scripts!
Deep Pockets BOTThis script repaints.. don't use without using it with my bot!!! ONLY my bot knows how to use this script and get the results stated.
CMYK XIAM OPEN◊ Introduction
This is project XIAM, a work in progress.
Recently i came across the repainting problem.
Since then i haven't seen any bot-code that makes > 5% profit in two weeks with 0.25% fees/trade.
People who make good bots either bluff or don't share the code.
they let you rent it.
I aim to understand, learn it, write it myself. And share my findings with whoever shares with me.
◊ Origin
Based on RMI (RSI with momentum) and SMA, and values derived from those.
◊ Usage
Currently an investigative script.
◊ Theoretical Approaches
Philosophy α :: Cleansignal
:: Cleaning up the signal, from irregularities that cause unpredictable results.
Merging available tickers of a pair into one.
Merging available tickers of different coins into one in the correct proportion. (eg. Crypto market cap)
Removing Jitter, and smoothing signal without delay.
Philosophy β :: Rythmic
:: Syncing into the rythm's, to never miss the que, and trade on every theoretical low/high
Searching Amplitude, Period, Phase Shift, Frequency's of the carrier waves.
Marking Acrivity/inactivity of the carrier waves.
Partial Fractal repetition asses-able with above data?
Philosophy γ :: consequential
:: Seeking for Indicatory events and causal relations
Probability / reward.
Confirmation and culmination.
...
◊ Community
Wanna share your findings ? or need help resolving a problem ?
CMYK :: discord.gg
AUTOTVIEW :: discordapp.com
Money Markers AI Signal botMoney Markers AI Platinum Signals is a premium algorithmic tool designed to assist traders in identifying high-probability trade opportunities across Forex, Commodities, and Cryptocurrencies.
This AI-enhanced bot utilizes multiple smart filters to deliver clean BUY and SELL alerts with visual trade levels, helping you act with confidence.
✅ Supports major Forex pairs, Gold, Oil & leading Cryptos
✅ Optimized for H1 and H4 timeframes
✅ Real-time alerts with SL/TP guidance
✅ Built for both swing & intraday traders
🔒 Source code is protected. Access is restricted to approved users only.
📩 To request access, send your TradingView username and registered email to:
📧 support@moneymarkers.net
⚠️ Use responsibly. This is not financial advice. Results may vary.
John Bob-Trading-BotDeveloped by Ayebale John Bob with the help of his bestie, this innovative strategy combines advanced Smart Money Concepts with practical risk management tools to help traders identify and capitalize on key market moves.
Key Features:
Smart Money Concepts & Fair Value Gaps (FVG):
The strategy monitors price action for fair value gaps, which are visualized as extremely faint horizontal lines on the chart. These FVGs signal potential areas where institutional traders might have entered or exited positions.
Dynamic Entry Signals:
Buy signals are triggered when the price crosses above the 50-bar lowest low or when a bullish FVG is detected. Conversely, sell signals are generated when the price falls below the 50-bar highest high or a bearish FVG is identified. Each signal is visually marked on the chart with clear buy (green) and sell (red) labels.
Multi-Level Order Execution:
Once an entry signal occurs, the strategy places five separate orders, each with its own take-profit (TP) level. The TP levels are calculated dynamically using the Average True Range (ATR) and a set of predefined multipliers. This allows traders to scale out of positions as the market moves favorably.
Dynamic Risk Management:
A stop-loss is automatically set at a distance determined by the ATR, ensuring that risk is managed in accordance with current market volatility.
Real-Time Trade Information Table:
In the bottom-right corner of the chart, a trade information table displays essential details about the current trade:
Side: Displays "BUY NOW" (with a dark green background) for long entries or "SELL NOW" (with a dark red background) for short entries.
Entry Price & Stop-Loss: Shows the entry price (highlighted in green) and the corresponding stop-loss level (highlighted in red).
Take-Profit Levels: Lists the five TP levels, each of which turns green once the market price reaches that target.
Timer: A live timer in minutes counts from the moment the current trade trigger started, helping traders track the duration of their active trades.
Visual Progress Bar:
A histogram-style progress bar is plotted on the chart, visually representing the percentage gain (or loss) relative to the entry price.
This strategy was meticulously designed to incorporate both technical analysis and smart risk management, offering a robust trading solution that adapts to changing market conditions. Whether you're a seasoned trader or just starting out, the AyebaleJohnBob Trading Bot equips you with the tools and visual cues needed to make well-informed trading decisions. Enjoy a seamless blend of strategy and style—crafted with passion by Ayebale John Bob and his bestie!
hamster-bot MRS 2 (simplified version) MRS - Mean Reversion Strategy (Countertrend) (Envelope strategy)
This script does not claim to be unique and does not mislead anyone. Even the unattractive backtest result is attached. The source code is open. The idea has been described many times in various sources. But at the same time, their collection in one place provides unique opportunities.
Published by popular demand and for ease of use. so that users can track the development of the script and can offer their ideas in the comments. Otherwise, you have to communicate in several telegram chats.
Representative of the family of counter-trend strategies. The basis of the strategy is Mean reversion . You can also read about the Envelope strategy .
Mean reversion , or reversion to the mean, is a theory used in finance that suggests that asset price volatility and historical returns eventually will revert to the long-run mean or average level of the entire dataset.
The strategy is very simple. Has very few settings. Good for beginners to get acquainted with algorithmic trading. A simple adjustment will help avoid overfitting. There are many variations of this strategy, but for understanding it is better to start with this implementation.
Principle of operation.
1)
A conventional MA is being built. (fuchsia line). A limit order is placed on this line to close the position.
2)
(green line) A limit order is placed on this line to open a long position
3)
(red line) A limit order is placed on this line to open a short position
Attention!
Please note that a limit order is used. Conclude that the strategy has a limited capacity. And the results obtained on low-liquid instruments will be too high in the tester. On real auctions there will be a different result.
Note for testing the strategy in the spot market:
When testing in the spot market, do not include both long and short at the same time. It is recommended to test only the long mode on the spot. Short mode for more advanced users.
Settings:
Available types of moving averages:
SMA
EMA
TEMA - triple exponential moving average
DEMA - Double Exponential Moving Average
ZLEMA - Zero lag exponential moving average
WMA - weighted moving average
Hma - Hull Moving Average
Thma - Triple Exponential Hull Moving Average
Ehma - Exponential Hull Moving Average
H - MA built based on highs for n candles | ta.highest(len)
L - MA built based on lows for n candles | ta.lowest(len)
DMA - Donchian Moving Average
A Kalman filter can be applied to all MA
The peculiarity of the strategy is a large selection of MA and the possibility of shifting lines. You can set up a reverse trending strategy on the Donchian channel for example.
Use Long - enable/disable opening a Long position
Use Short - enable/disable opening a Short position
Lot Long, % - % allocated from the deposit for opening a Long position. In the spot market, do not use % greater than 100%
Lot Short, % - allocated % of the deposit for opening a Short position
Start date - the beginning of the testing period
End date - the end of the testing period (Example: only August 2020 can be tested)
Mul - multiplier. Used to offset lines. Example:
Mul = 0.99 is shift -1%
Mul = 1.01 is shift +1%
Non-strict recommendations:
1) Test the SPOT market on crypto exchanges. (The countertrend strategy has liquidation risk on futures)
2) Symbols altcoin/bitcoin or altcoin/altcoin. Example: ETH/BTC or DOGE/ETH
3) Timeframe is usually 1 hour
If the script passes moderation, I will supplement it by adding separate settings for closing long and short positions according to their MA
DCA EMA Simple Bot [Starbots]
This is a simple idea of DCA trading on EMA crosses. Strategy is not repainting.
The difference between this and any other strategy is, that this script allows you to preset DCA buy triggers at desired levels and customize each DCA order size independently. Alerts are working, this strategy is easily used for automatic trading.
I mainly trade on Cryptohopper, Pionex, 3commas. This was created for community, alerts are working and non-repainting. Should work on any other as well.
Trading Condition:
It's buying when Fast EMA crosses up Slow EMA. Set your paramters.
It's selling if EMA's crosses back, signaling a sell. Optional.
DCA:
You can enter DCA on 20 custom levels or layers. It buys DCA when price hits the plotted blue line on the chart that's set by input % triggers. (buy 1st DCA at 2% drop, buy 2nd DCA at 5% drop,...)
Set your Inital Capital and Pyramiding in Properties tab, Initial Order Size and DCA Order Size (lot1,lot2,lot3,..), Order Type are changed in strategy inputs.
-By default you can see that we buy when EMA's cross up and signal a buy for 10% of equity, if market is dropping you will then place a first DCA order ( 20% equity) at 2% drop (lower) from initial order. If market keeps dropping you have more DCA levels where you can buy and average down your holding position. For selling you can use Take profit and Stop Loss targets that averages down multiple open positions, it will sell it once it reaches your desirable Take Profit and close a deal. You can also close your trade if EMA signals a sell.
Pyramiding - number of orders you can open at a time
Your first buy order is pyramiding 1. To allow it to buy 1 DCA or merge one time, set pyramding to 2.
Want to DCA 10 times? Set pyramiding at 11. (+1 always)
More features:
- Profit Calendar
- Show Balance label before every new trade
- DCA table - visualize how much of your investment is used in trades. If a background of the table is green you are okay, if the background color is red - you are using more money for orders than you actually have.
Buy Orders << Strategy Equity/Capital
- Show / Hide DCA lines - if your chart processing is getting slow you should hide some DCA levels to speed it up
- Backtesting Range - for testing the strategy in different time windows
- Alerts
When all trades are closed on your chart, winning rate of the strategy is 100% actually.
Win rate is shown differently as it's actually closing and opening every trade individually by default in TradingView system. We merge positions together and average it down into one big position to later sell for a profit (DCA).
You use this Trading Algorithm at your own risk. Do not trade before testing or invest something you cannot afford to lose on markets.
Broadview Economic StudioThank you for taking the time to read this description. We'll be taking a look at the Broadview Economic Studio. This has been a work-in-progress for years and is a very powerful tool for planning trades with complex volume scaling strategies. We will be talking about many indicators and types of indicators used in the public domain, but it is NOT recommended to reverse engineer our scripts as there is quite a bit of logic in the code that works to make each common approach entirely unique. So although you may understand quite a bit about oscillators, the way they work with the rest of the logic within the script may change the way you know them to work from elsewhere.
In the chart snapshot above you'll see a mild configuration where I only had to tweak a few settings. Commissions are set to 0.1%, starting capital is set to $10,000, and slippage is off. In my tests orders came through less than a penny off. Generally speaking, there are really only two situations in which you should be concerned about slippage. The first is if you trade really low timeframe charts like the 1 second. This tool, while it works for any timeframe, is programmed on the 45 minute timeframe and works best there. The other situation in which you should be prepared for slippage is if you're using extremely high volume trades in the hundreds of thousands or millions depending on the market cap and liquidity of the asset you're studying. Large orders like that have to be split up among several deals and that can cause slippage.
There are 31 primary inputs for users to tweak. Each input is grouped within a module called a Suite. Each suite has a focus like filtering signals or strategically allocating volume according to your strategy. Everything starts with the Origin Suite. The Origin Suite is a group of inputs that generates Tops & Bottoms from price action. It uses math like Rate of Change, where one can specify a required rate of change before an Origin signal can be made, and users can specify how much lower in price a bar must be compared to previous bars. So with the Origin Suite, users can control how often they want to see originating signals and under what conditions they can appear.
We used to use WVF and CVI to produce top and bottom signals, but our Origin Suite works much better for systematically generating profitable configurations.
The triangles you see on the chart represent markers, potential signals, or Prop Signals as they're referred to within the script. The blue arrows represent trades where Prop Signals were allowed to pass as true long signals. There are two ways to ignore Prop Signals. You can filter the markers entirely, or you can reduce their volume scaling to the minimum which is usually $10 for most exchanges. We're first going to be talking about some of the primary DCA inputs before we talk about the technology we use to filter and overload signals.
Here are some important features found within the script:
Base Orders
Safety Orders
Take Profits
Change-Based Volume Scaling
Ignoring Low or Medium Changes
Overloading
Filtering
Alert Messages w/ Volume Scaling
Let's walk through each of these features in more depth.
The Base Order is the initial Long position within a series. It comes in first and is followed by all of its Safety Orders. The Base Order is set to $25 within the script by default. Keeping the base order low allows one to reserve more of their capital for Safety Orders that are lower within a dip, and thus, lower the user's Position Average. The primary feature of this script is to help users plan their volume scaling strategically, and this is where we start. It's this kind of due diligence and effort in protecting trades that makes this script unique.
So we start with a low Base Order. Then, we follow with a lot of Safety Orders. Typically in DCA this is done in consistent time intervals and in consistent amounts. So in regular DCA one may invest the same amount bi-weekly on pay day. They use the financial instrument as a sort of savings and average their position over their consistent investments. This is not where the bleeding edge of DCA is today though. In modern Doller Cost Averaging, I would expect to see signals and volume scaling based on logic.. as opposed to being consistent intervals.
This sets up the explanation of the primary means of volume scaling within the script. Mathematically, we start with the net balance. This is your specified starting balance plus any wins or losses. Users specify what % of their Available Balance they would like to start with when volume scaling. This percent of capital is then multiplied by a Safety Order Multiplier. The safety order multiplier is made up of a number specified by the user, multiplied by the number of the Safety Order you're on. So user's can control this equation/algorithm and scale their investments as the number of Safety Orders increases and drops in price become more opportune.
The Take Profit within the script lets users specify their desired ROI from a series. So if a user sets a 60% take profit, the script will set a price from the position average that when reached will give the user a 60% ROI for the series including its Base Order and all its Safety Orders.
Before moving on, let's talk about the amazing internal reporting found in the script. When you zoom in on the blue arrows, you can see each trade is accompanied by some extremely helpful information. This is just another feature that makes this script unique, it is the feature that gives us accurate reporting and ultimately allows us to connect with TradingView's Strategy Tester in a way that provides instant backtests with good merit. With this reporting not only can users get reports and information on trades made on different assets with different configurations, but user's can perform a deep dive on each configuration and know exactly what was going on for each trade. The first number is the number of the safety order the script is on. Remember, this is used in the primary volume scaling math. The second number is the amount the script spent on the current trade. The third number denotes the cumulative spending for the series. The final number displays the script's available balance at that time. With these numbers, the TradingView Strategy Tester, and the List of Trades feature, users can practice as much due diligence as they need during their studies.
Let's move on to talking about my favorite suite within the script, the Volume Scaling Suite. Here there are two primary means of controlling volume scaling. Although, in the near future there will be more.
In this suite you'll find Change-Based Volume Scaling and Position Average Volume Scaling. Position Average Volume Scaling is quite easy to explain. This feature only allows signals to pass if they are lower in price than your base order. In this way, users can apply most of their capital to trades that lower their position average. Simply having the money in the market can boost profits, but having a lower Position Average is the entire reason we DCA. Change-Based Volume Scaling is quite a bit more complex.
In theory, one could argue that every moment is a great moment to buy. It's just that some moments are more opportune than others. So it's not about perfect signals as much as it's about proper volume scaling.
Change-Based Volume Scaling allows us to set rules that dictate how much volume scaling is used based on the asset's current delta, or Rate of Change.
Using CBVS, one can downscale capital applied to signals with a low ROC, or simply ignore them. So if a signal comes in and the price hasn't changed very much then you can automatically use less volume for the trade. One can do the same thing for medium changes, and the user can specify what quantifies as a low or medium change. Users can give extra volume to signals with a greater rate of change, or overload signals with a high rate of change! So the CBVS feature gives users the ability to allocate volume based on logic rooted in the asset's rate of change. If a signal has dropped a lot in price, then generally, it is deserving of more capital and that's what makes this feature unique and so powerful.
There are two kinds of Overloading found in the script. There's overloading from CBVS, and then overloading from the 4 signal filtering suites. There's an important difference to note before we move on. Overloading performed by CBVS is based on ignored signals. So if you ignore low or medium change signals, and you have CBVS Overloading on, the script will allocate more capital to High Change signals. When signals are ignored, they are downscaled to $10. Whereas with the filtering suites, if a signal is filtered the Prop Signal triangle marker is removed entirely. The overloading in that scenario is simply applied to signals that aren't filtered. The reason it's done this way is because allowing ignored signals to still come in, with the lowest volume scaling possible, keeps the Safety Order count rising which works in the volume scaling math. This math is intrinsic to getting capital deep within dips and crashes.
So in future versions we may allow ignored signals to be filtered out entirely but for the time being, simply scaling them down to the lowest possible amount is what produces the best and most consistent configurations.
Let's talk about filtering signals, and the overloading provided within each filtering suite.
Here you can see our Overbought & Oversold Heatmap V3. This is a unique indicator that takes 15 common oscillators and visualizes them in a way that clearly denotes confluence. Looking at this indicator makes it easer to read cycles and trends. It is quite common for investors to base their entire scripts on one or more of the oscillators found within the OBOS Heatmap V3. So the OBOS Heatmap V3 is an awesome way to ensure your signals follow an oversold trend! The orange represents an oscillator being oversold, while the yellow represents it being overbought. Generally, when an asset is oversold it is a better time to buy. One can filter signals based on this information and use the Heatmap's unique ability to quantify confluences. In this script users can set a sensitivity and that sets the number of oscillators that must be in agreement before a signal is allowed to pass.
Here are the oscillators found within the OBOS Heatmap:
*Please keep in mind that although some of these oscillators may have big names, the code and math in the script may work differently than you're used to. This is because the code and math is changed quite a bit, and the overall intended functionality of the OBOS Heatmap has a larger scope than any one indicator. It's also important to note that the lengths for these oscillators are set low and are meant to classify the individual signal as either overbought or oversold, and not the entire period. So while the OBOS Heatmap is awesome for trends and cycles, it's ultimately meant to classify individual price bars as either overbought or oversold according to a consensus.*
Relative Strength Index
Money Flow Index
Commodity Channel Index
Aroon Oscillator
Relative Volatility Index
Fast Stochastic Detrended Price Oscillator
Fast Stochastic Elders Force Index
Fast Stochastic Relative Strength Index
Fast Stochastic Relative Vigor Index
Fast Stochastic Klinger Oscillator
Fast Stochastic Awesome Oscillator
Fast Stochastic Ultimate Oscillator
Fast Stochastic Chande Momentum Oscillator
Fast Stochastic On Balance Volume Oscillator
Fast Stochastic Moving Average Convergence/Divergence
Each band of the Overbought & Oversold Heatmap represents an oscillator. When it's orange it's said to be oversold. When it's yellow it's said to be overbought. The indicator turns purple during trends and reversals where it is neither overbought nor oversold. It can differentiate between uptrends and downtrends with differing colors of purple, but the OBOS Heatmap is not used for trends or cycles in this script. It is used to quantify oversold confluence.
Let's talk about the Dominance Suite.
First note in the top portion of the screenshot above, you will see various colors in the script. It replaces the price line with something we call Price Flow bars. So when you add the script it's best to make the stock price line invisible in TV settings. The Price Flow Bars use a preset EMA to color price action as being in either a downward momentum or upward momentum. The triangular signals represent dark teal for the initial long marker within a series, dark green for long orders and long signals that convert into safety orders, and light green for safety orders. This is more logic that makes this script really unique. The dark green initial long marker signals are rarely seen. You can find them at the beginning of a new series of signals and they work to establish when a new series of signals should begin. The dark green signals actually denote a long base order opportunity, but if a series has already started then these signals are converted into Safety Orders. The Safety Orders then come in light green, and red for Prop Shorts. Prop Shorts work with Initial Longs to establish the start of a new series. More on that math I cannot tell.
In the bottom half of the screenshot is the Dominance Suite itself. It's another one of the four filtering suites found in the script. It is made up of 7 oscillators that work to classify a price bar as being controlled by either the bears or the bulls. If a price bar is controlled by the bears it is said to be a better investment. The Dominance Suite works by applying a moving average to the balance of power. This is the way TradingView has intended the balance of power to be used, and works quite nicely in classifying individual price bars as either bearish or bullish. It's not an overall trend indicator as much as it states whether a bar is mostly controlled by the bears or the bulls.
Here are the oscillators found within the Dominance Suite:
SMA of BOP
EMA of BOP
HMA of BOP
WMA of BOP
VWMA of BOP
TEMA of BOP
LSMA of BOP
Within the script, there is an input for a negative threshold. When each of these 7 oscillators is in confluence and below this set threshold, the Prop Long will be allowed to pass as a real trade.
Keep in mind that each filtering suite also has the option to overload signals.
So not only can you filter signals based on these suites but you can also apply additional volume scaling to signals that don't get filtered.
Here we have the True Oscillator. The True Oscillator is a brand new oscillator. It's similar to things like the RSI or DPO, but technically speaking it considers many more factors into its average than other oscillators. It considers balance of power, sentiment, volume, momentum, gravity, and places special-strategic weighting on price data based on whether it's opening, closing, high, or low. If you stack the True Oscillator up with the RSI you'll notice right away they look similar, but each movement is quite different. Overall the movements are more balanced, the individual bars are more consistent with price data, and the swings are more clearly pronounced while simultaneously having a better register of strength in momentum. We use this indicator to filter and overload signals, to trade according to momentum, and to provide a 16th independent oscillator that can check the OBOS Heatmap without having to be confluent.
The final filtering suite is based on Net Volume. It classifies signals as oversold when there is a significant negative trend in net volume. If Net Volume is under 0, and trends downward for either 3, 4, or 5 bars in a row then it will mark a signal as oversold and allow it to pass. Then, if overloading for this suite is turned on it will allocate more volume to signals it does not filter out.
There is a lot that can be said about this strategy. The primary takeaway though is that it's not just one strategy. It's a tool for everyone, to help them plan their approach to different assets in different market climates. This tool can help you study current market conditions. It can allow you to plan a strategic approach to market segments, and see how your strategy would fare if new market data performed similarly. It's not just one strategy, but more of a strategy printer.
The Origin Suite allows users to plan the positioning of their signals. The Overbought & Oversold Suite allows users to filter their signals based on whether or not they are oversold. The Dominance Suite allows users to filter signals based on whether the market is being controlled by the bears or the bulls. The True Oscillator gives users the ability to filter signals based on a deep and powerful momentum oscillator. The Net Volume Suite lets users filter signals based on volume trends. When signals are filtered, signals that pass, can be overloaded with additional volume scaling. Features like Change-Based Volume Scaling and Position Average Volume Scaling give users plenty of inputs to create complex volume scaling strategies. Common-sense DCA inputs allow users to scale into markets the way pros do.
The Broadview Economic Studio is a powerful tool for planning trades with complex volume scaling strategies.
Users can plan their approach to different kinds of markets. They can link the script with their bot or broker like 3Commas, and the script will automatically send the correct volume scaling through to the bot.
Thank you for your time, and for reading the description of the Broadview Economic Studio.
VWMA/SMA 3Commas BotThis strategy utilizes two pairs of different Moving Averages, two Volume-Weighted Moving Averages (VWMA) and two Simple Moving Averages (SMA).
There is a FAST and SLOW version of each VWMA and SMA.
The concept behind this strategy is that volume is not taken into account when calculating a Simple Moving Average.
Simple Moving Averages are often used to determine the dominant direction of price movement and to help a trader look past any short-term volatility or 'noise' from price movement, and instead determine the OVERALL direction of price movement so that one can trade in that direction (trend-following) or look for opportunities to trade AGAINST that direction (fading).
By comparing the different movements of a Volume-Weighted Moving Average against a Simple Moving Average of the same length, a trader can get a better picture of what price movements are actually significant, helping to reduce false signals that might occur from only using Simple Moving Averages.
The practical applications of this strategy are identifying dominant directional trends. These can be found when the Volume Weighted Moving Average is moving in the same direction as the Simple Moving Average, and ideally, tracking above it.
This would indicate that there is sufficient volume supporting an uptrend or downtrend, and thus gives traders additional confirmation to potentially look for a trade in that direction.
One can initially look for the Fast VWMA to track above the Fast SMA as your initial sign of bullish confirmation (reversed for downtrending markets). Then, when the Fast VWMA crosses over the Slow SMA, one can determine additional trend strength. Finally, when the Slow VWMA crosses over the Slow SMA, one can determine that the trend is truly strong.
Traders can choose to look for trade entries at either of those triggers, depending on risk tolerance and risk appetite.
Furthermore, this strategy can be used to identify divergence or weakness in trending movements. This is very helpful for identifying potential areas to exit one's trade or even look for counter-trend trades (reversals).
These moments occur when the Volume-Weighted Moving Average, either fast or slow, begins to trade in the opposite direction as their Simple Moving Average counterpart.
For instance, if price has been trending upwards for awhile, and the Fast VWMA begins to trade underneath the Fast SMA, this is an indication that volume is beginning to falter. Uptrends need appropriate volume to continue moving with momentum, so when we see volume begin to falter, it can be a potential sign of an upcoming reversal in trend.
Depending on how quickly one wants to enter into a movement, one could look for crosses of the Fast VWMA under/over the Fast SMA, crosses of the Fast VWMA over/under the Slow SMA, or crosses over/under of the Slow VWMA and the Slow SMA.
This concept was originally published here on TradingView by ProfitProgrammers.
Here is a link to his original indicator script:
I have added onto this concept by:
converting the original indicator into a strategy tester for backtesting
adding the ability to conveniently test long or short strategies, or both
adding the ability to calculate dynamic position sizes
adding the ability to calculate dynamic stop losses and take profit levels using the Average True Range
adding the ability to exit trades based on overbought/oversold crosses of the Stochastic RSI
conveniently switch between different thresholds or speeds of the Moving Average crosses to test different strategies on different asset classes
easily hook this strategy up to 3Commas for automation via their DCA bot feature
Full credit to ProfitProgrammers for the original concept and idea.
Any feedback or suggestions are greatly appreciated.
3Commas Dollar cost averaging trading system (DCA)As investors, we often face the dilemma of willing high stock prices when we sell, but not when we buy. There are times when this dilemma causes investors to wait for a dip in prices, thereby potentially missing out on a continual rise. This is how investors get lured away from the markets and become tangled in the slippery slope of market timing, which is not advisable to a long-term investment strategy.
Skyrex developed a complex trading system based on dollar-cost averaging in Quick Fingers Luc's interpretation. It is a combinations of strategies which allows to systematically accumulate assets by investing scaled amounts of money at defined market cycle global support levels. Dollar-cost averaging can reduce the overall impact of price volatility and lower the average cost per asset thus even during market slumps only a small bounce is required to reach take profit.
The strategy script monitors a chart price action and identifies bases as they form. When bases are reached the script provides entry actions. During price action development an asset value can go lower and in this way the script will perform safety entries at each subsequent accumulation levels. When weighted average entry price reaches target profit the script will perform a take profit action.
Bases are identified as pivot lows in a fractal pattern and validated by an adjustable decrease/rise percentage to ensure significancy of identified bases. To qualify a pivot low, the indicator will perform the following validation:
Validate the price rate of change on drops and bounces is above a given threshold amount.
Validate the volume at the low pivot point is above the volume moving average (using a given length).
Validate the volume amount is a given factor of magnitude above is above the volume moving average.
Validate the potential new base is not too close to the previous range by using a given price percent difference threshold amount.
A fractal pattern is a recurring pattern on a price chart that can predict reversals among larger, more chaotic price movements.
These basic fractals are composed of five or more bars. The rules for identifying fractals are as follows:
A bearish turning point occurs when there is a pattern with the highest high in the middle and two lower highs on each side.
A bullish turning point occurs when there is a pattern with the lowest low in the middle and two higher lows on each side.
Basic dollar-cost averaging approach is enhances by implementation of adjustable accumulation levels in order to provide opportunity of setting them at defined global support levels and Martingale volume coefficient to increase averaging effect. According to Quick Fingers Luc's principles trading principles we added volume validation of a base because it allows to confirm that the market is resistant to further price decrease.
The strategy supports traditional and cryptocurrency spot, futures , options and marginal trading exchanges. It works accurately with BTC, USD, USDT, ETH and BNB quote currencies. Best to use with 1H timeframe charts and limit orders. The strategy can be and should be configured for each particular asset according to its global support and resistance levels and price action cycles. You can modify levels and risk management settings to receive better performance
The difference between core script and this interpretation is that this strategy is specially designed for 3Commas bots
How to use?
1. Apply strategy to a trading pair your are interested in using 1H timeframe chart
2. Configure the strategy: change layer values, order size multiple and take profit/stop loss values according to current market cycle stage
3. Set up a TradingView alert to trigger when strategy conditions are met
4. Strategy will send alerts when to enter and when to exit positions which can be applied to your portfolio using external trading platforms
5. Update settings once market conditions are changed using backtests on a monthly period
VXMA BotThis strategy is separated version of Cloud MA form VXD Cloud Edition, Let called it "VXMA".
what's changed?
renew TP/SL Work
Simplify code and clean look.
Risk:Reward Calculation
Risk of Ruin Setting can now selected between Fixed $ or %
if Buy your Stoploss will be Swing low
if Sell your Stoploss will be Swing high and can be setting at Pivot Setting
then Auto Position Sizing and TP line will be calculated form there and will show in Orange color line (Draw Position Box is available)
Alert Setting
{{strategy.order.alert_message}}
Python-Bot
github.com
There are 2 mode : one-way mode and hedge mode is different script on my Github profile.
read README. MD and there's video tutorial.
Pls study app.py and it's script before deploy for your own safty and your own risk, I'm NOT responsible for your loss.
GOODLUCK
3C QFL Mean reversalWhat is QFL trading strategy?
QFL stands for Quickfingersluc, and sometimes it is referred to as the Base Strategy or Mean Reversals. Its main idea is about identifying the moment of panic selling and buying below the base level and utilizing Safety orders.
What is Base level or Support Level?
Base level or Support Level refers to the lowest price level that was reached before the moment the price started increasing again. At that level, you can notice that buyers of some cryptocurrencies make a strong reaction.
In this strategy we can also reverse the strategy and go short. But i must warn you that that is alot riskier.
QFL is meant to be used on higher TF's like 1hr, 2hr and 4hr. But this strategy also work well on lower Timeframes.
The script also simulates DCA strategy with parameters used in 3commas DCA bots for futures trading.
Experiment with parameters to find your trading setup.
Beware how large your total leveraged position is and how far can market go before you get liquidated!
Do that with the help of futures liquidation calculators you can find online!
Included:
An internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage.
A graphic interface, so levels are clearly visible and back-test analyzing made easier.
Long & Short direction of the strategy.
Table display a summary of past trades
Vertical colored lines appear when the new maximum deviation from the original price has
been reached
All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
