TTC2022TSLA15mThis is version 1.0 "TTC2022TSLA15m" Strategy. This has only been back tested for the ticker "TSLA" on the 15m chart for the year 2022. The reason I isolated this strategy to 2022 is because TSLA's chart patterns have changed from the previous 2 years. So, I wanted to develop an indicator-based strategy that was consistent with current market conditions. The default setting for percent of equity is set to 5% risk. I will adjust any variables that make this TTC2022TSLA15m Strategy more accurate in the future as more 2022 data comes out.
It's based on my TTC: Triangular Trend Channel script that dynamically creates a trend channel on the move. It uses open, high, low, close, simple moving average inputs for its plot lines and sma9 & ema5 for calculation purposes. The default trend channel line settings are based off sma64.
Default color coded in top to bottom price order:
green = top
orange
blue
white = center (64sma)
purple
yellow
red = bottom
• Remember * This has only been back tested for the ticker "TSLA" on the 15m chart for the year 2022 to date. *
Bantlar ve Kanallar
MadriEsta estrategia fue creada por mi, basándose en el indicador bollinger bands+rsi y una ema , forexstrategiesresources me lo pasó a codigo y despues fue publicado en ChartArt y en la pagina web de forexstrategiesresources.
Ahora este script lo he modificado para optimizarlo para BTC /USDT en la temporalidad de 1 hora, os invito a ir cambiando temporalidades y valores para conseguir la mayor rentabilidad y, al igual que yo lo publico en codigo abierto os invito a que pongáis vuestros ajustes en los comentarios.
Los ajustes que se pueden cambiar para buscar mayor rentabilidad son en primer lugar "lo que se puede cambiar desde el mismo grafico" los valores "A" y "B".
Además, en el codigo el valor "RSIoverSold" y el "RSIoverBought" por mi experencia con menos de 30 no suele ir bien y con mas de 70 tampoco, el rango adecuado es de 29 a 49, incluidos.
Yo no he trasteado mucho pero también os invito a cambiar la fuente de entrada de "close" a "high", "open", "low"...
Recomiendo para la configuración ACTUAL mismo símbolo, mismos valores operar las señales Short cuando el precio este por debajo de la EMA de 900 y operar las Long cuando este por encima.
En otros símbolos la cosa cambia, hay que adaptarlo a cada cosa.
TTC2022SPY4hrThis is version 1.0 "TTC2022SPY4hr" Strategy. This has only been back tested for the ticker "SPY" on the 4hr ext chart for the year 2022. The reason I isolated this strategy to 2022 is because SPY's chart patterns have changed from the previous 2 years. So, I wanted to develop an indicator-based strategy that was consistent with current market conditions. The default setting for percent of equity is set to 5% risk. I will adjust any variables that make this TTC2022SPY4hr Strategy more accurate in the future as more 2022 data comes out.
It's based on my TTC: Triangular Trend Channel script that dynamically creates a trend channel on the move. It uses open, high, low, close, simple moving average inputs for its plot lines and ema1 & a hard coded ema5 for calculation purposes. The default trend channel line settings are based off sma7.
Default color coded in top to bottom price order:
green = top
orange
blue
white = center (7sma)
purple
yellow
red = bottom
• Remember * This has only been back tested for the ticker "SPY" on the 4hr ext chart for the year 2022 to date. *
TRAILING STOP LOSS TO LONG AND SHORT LONG AND SHORT ( with stop loss) LONG AND SHORT ( with stop loss) LONG AND SHORT ( with stop loss)
Stairs Gain Strategy - MGI will explain step by step.
1- The position order filtering option is used to filter out duplicate positions.
2- The reason I use an ATR multiplier is to balance the ATR value that differs in instruments.
3- ATR lower limit and ATR upper limit values are to reduce unnecessary transactions and commission expenses in the horizontal market.
4- Strategy take profit and stop loss levels are calculated as percentages. The reason why there is no point account is that it can be used in the stock market.
5- Developer friends can get a more efficient result in forex market instruments by converting this to a point account.
Notice :
Variables are different in each instrument. Therefore, this strategy should be optimized for each instrument used.
RSI_OTT - TP/SLWhile creating this strategy, I was inspired by "ott(by Anıl Özekşi)" and "RSI + Bollinger Double Strategy(by ChartArt)".
Basically, the strategy uses ott bands instead of bollinger bands in the "RSI+Bollinger Double Strategy".
User can select take profit, stop loss, position direction(long, short or both) and the other ott parameters via interface.
RSI_Boll-TP/SLThis strategy is originally "Bollinger + RSI , Double Strategy (by ChartArt)"
I added just TP/SL exit point, position direction selection(long, short or both) and time window into that strategy.
TPS - FX TradeI based my strategy on the Lagging Span 2 line in the Ichimoku Cloud. I actually designed the strategy for the DAX Germany index 3 Minutes period, but you can use it on any instrument you want. I would like to point out some points that you should pay attention to when optimizing the strategy for the instrument you want to use.
Position Take Profit and Stop Loss levels are tick calculations. These values will differ for each instrument. If you are trading in Forex, the values you will write here should be starting from the numbers after the comma in the instrument value. For example, if you want to take profit at "200" points in DAX, you must write "20000" in the Long or Short Take Profit Score field, this applies to the Stop Loss Points, but if you want to take profit or stop loss at 200 points in UKOIL, you must write "200" in the entry part.
EDMA Scalping Strategy (Exponentially Deviating Moving Average)This strategy uses crossover of Exponentially Deviating Moving Average (MZ EDMA ) along with Exponential Moving Average for trades entry/exits. Exponentially Deviating Moving Average (MZ EDMA ) is derived from Exponential Moving Average to predict better exit in top reversal case.
EDMA Philosophy
EDMA is calculated in following steps:
In first step, Exponentially expanding moving line is calculated with same code as of EMA but with different smoothness (1 instead of 2).
In 2nd step, Exponentially contracting moving line is calculated using 1st calculated line as source input and also using same code as of EMA but with different smoothness (1 instead of 2).
In 3rd step, Hull Moving Average with 2/3 of EDMA length is calculated using final line as source input. This final HMA will be equal to Exponentially Deviating Moving Average.
EDMA Defaults
Currently default EDMA and EMA length is set to 20 period which I've found better for higher timeframes but this can be adjusted according to user's timeframe. I would soon add Multi Timeframe option in script too. Chikou filter's period is set to 25.
Additional Features
EMA Band: EMA band is shown on chart to better visualize EMA cross with EDMA .
Dynamic Coloring: Chikou Filter library is used for derivation of dynamic coloring of EDMA and its band.
Trade Confirmation with Chikou Filter: Trend filteration from Chikou filter library is used as an option to enhance trades signals accuracy.
Strategy Default Test Settings
For backtesting purpose, following settings are used:
Initial capital=10000 USD
Default quantity value = 5 % of total capital
Commission value = 0.1 %
Pyramiding isn't included.
Backtesting data never assures that the same results would occur in future and also above settings use very less of total portfolio for trades, which in a way results less maximum drawdown along with less total profit on initial capital too. For example, increasing default quantity value will definity increase maximum drawdown value. The other way is also to use fix contracts in backtesting but it all depends on users general practice. Best option is to explore backtesting results with manually modified settings on different charts, before trusting them for other uses in future.
Usage and In-Detail Backtesting
This strategy has built-in option to enable trade confirmations with Chikou filter which will reduce the total number of trades increasing profit factor.
Symmetrically Weighted Moving Average (SWMA) on input source, may risk repainting in real-time data. Better option is to run a trade on bar close or simply left this optin unchecked.
I've set Chikou filter unchecked to increase number of trades (greater than 100) on higher timeframe (12H) and this can be changed according to your precision requirement and timeframe.
Timeframes lower than 4H usually have more noise. So its better to use higher EDMA and EMA length on lower timeframes which will decrease total number of offsetting trades increasing average total number of bars within a single trade.
Original "Exponentially Deviating Moving Average (MZ EDMA )" Indicator can be found here.
SuperTrend ChannelSuperTrend Channel is using Moving Averages to build the MA Channel.
No repaints.
It is strongly recommended to use the indicator with higher time frames (1 Week, 1 Day, 12 hours, 6 hours), so you can ignore false movements on the chart and indicate the main trend. With lower time frame it is recommended to use higher length of Moving Average so you can ignore false movements on the chart.
Here you can:
1) Choose the Moving Average type: SMA, EMA, WMA, VWMA, SMMA, DEMA, TEMA, HullMA, ZEMA, TMA, SSMA.
2) Choose the length of Moving Average.
3) Use the BTC filter. If BTC filter selected, the main trend is filtered by daily BTC trend as well. It could help to ignore false movements on assets with high volatility.
4) Choose the backtest dates so you can evaluate the results before trading.
Octopus_AlgoGram_IndicatorHello traders!
I have been developing Octopus trading indicator over the last year. This algorithm indicator is based on a set of different strategies, each with its own weight (weighted strategy). The set of strategies that I currently use are 5:
Volume
ADX
MA crossover
Macd
Chaikin Oscillator
Moreover, this indicator includes STOP losses criteria and a taking profit strategy. this indicator must be optimized for the desired asset to achieves its full potential.
Best Time-Frame :
The 10 & 23 Minutes Time frame give good results. The algo has been tested for several asset (same dataframe, different optimization values).
When to Buy & Sell :
Buy Entry & Exit : Take entry when Green Arrow or Buy Trigger on screen & Exit when Purple Arrow or exit trigger on screen
Sell Exit & Exit : Take entry when Red Arrow or Sell Trigger on screen & Exit when Purple Arrow or exit trigger on screen
Important note:
Backtest the algorithm with different data stamps to avoid overfitting results
How it works:
The algorithm is based on a combination of well-documented indicators. First, the algorithm calculated the weight_strategy, which represents a value from 0 to 5 of the number of strategies that are fulfilled (in case the weight of each strategy is the same). To open a position, the value of weight_strategy must be greater than the value of weight_signal, by default 2. Modify the indicator parameters for the desired asset and data frame. Set stop-loss and take profit criteria.
Features:
* The algorithm allows to trade with long, short or both positions.
* Backtest the algorithm over a defined interval (data stamp), e.g., from 2022
* stop loss (SL) orders based on movement of the previous candle source, e.g., close or candle volatility . Only close the position after the candle is close!
* It can moves the stop loss when this indicator takes profit (TP)
* Take profit based on market movement and once all condition true they push exit order
* Define delays to evaluate the strategies of more previous candles:
+ Candle delay Exit is the number of candles the algorithm waits to open a new position.
* Choose if you want to use the weighted strategy or just some of them.
* Choose the weight (relevance) of each strategy.
* Customize the well documented MA cross strategy.
Disclaimer :
AlgoGram Script,Indicator,Strategy,Trading Idea & presentations are only for educational & Research purposes and are not intended as investment advice. I cannot guarantee the accuracy of any information provided above , please take trade with help of your Financial adviser or on your own risk
Cheers! & Best Of Luck
By AlgoGram
Shark_AlgoGram_IndicatorHello traders!
I have been developing Shark trading indicator over the last year. This algorithm indicator is based on a set of different strategies, each with its own weight (weighted strategy). The set of strategies that I currently use are 6:
MACD
Stochastic RSI
RSI
Supertrend
MA crossover
Donchin Channel
Moreover, this indicator includes STOP losses criteria and a taking profit strategy. this indicator must be optimized for the desired asset to achieves its full potential.
Best Time-Frame :
The 30 & 31 Minutes Time frame give good results. The algo has been tested for several asset (same dataframe, different optimization values).
When to Buy & Sell :
Buy Entry & Exit : Take entry when Green Arrow or Buy Trigger on screen & Exit when Purple Arrow or exit trigger on screen
Sell Exit & Exit : Take entry when Red Arrow or Sell Trigger on screen & Exit when Purple Arrow or exit trigger on screen
Important note:
Backtest the algorithm with different data stamps to avoid overfitting results
How it works:
The algorithm is based on a combination of well-documented indicators. First, the algorithm calculated the weight_strategy, which represents a value from 0 to 5 of the number of strategies that are fulfilled (in case the weight of each strategy is the same). To open a position, the value of weight_strategy must be greater than the value of weight_signal, by default 2. Modify the indicator parameters for the desired asset and data frame. Set stop-loss and take profit criteria.
Features:
* The algorithm allows to trade with long, short or both positions.
* Backtest the algorithm over a defined interval (data stamp), e.g., from 2022
* stop loss (SL) orders based on movement of the previous candle source, e.g., close or candle volatility. Only close the position after the candle is close!
* It can moves the stop loss when this indicator takes profit (TP) & Market true such condition where trailing SL Activate
* Take profit based on market movement and once 3 condition true out of 6 True they push exit order
* Define delays to evaluate the strategies of more previous candles:
+ Candle Delay is for MACD strategy
+ Candle delay Stoch RSI is for the Stochastic RSI strategy.
+ RSI Candle Delay is for the RSI strategy.
+ Candle delay Exit is the number of candles the algorithm waits to open a new position.
* Choose if you want to use the weighted strategy or just some of them.
* Choose the weight (relevance) of each strategy.
* Customize the well-documented MACD strategy.
* Customize the well-documented Stochastic RSI strategy.
* Customize the well-documented RSI strategy.
* Customize the well-documented Supertrend strategy.
* Customize the well documented MA cross strategy.
Disclaimer :
AlgoGram Script,Indicator,Strategy,Trading Idea & presentations are only for educational & Research purposes and are not intended as investment advice. I cannot guarantee the accuracy of any information provided above , please take trade with help of your Financial adviser or on your own risk
Cheers! & Best Of Luck
By AlgoGram
Inside Breakout PerQuantumCoin Premium Indicator (strategy)HOW IT WORKS:
- The Inside Breakout gives signals on the chart on the breakout of inside bar chart pattern;
- It allows to trade trend or counter-trend signals;
- Computes intrinsic values to access the strength of the Buy/Sell signal;
- Allows users to adjust their own settings, adapting the signals produced;
- These signals can be also set up as Alerts;
- The indicator has a few custom features that allows users to filter out signals using multi-timeframe trend indicator and to keep tracking positions so that one can only get new signals when they reserve position;
This Strategy version is meant to be a companion to the main indicator in order to backtest your SLT/TP settings with different instruments and adapt results.
Please NOTE:
Results may vary depending on TP/SL settings. Also, previous performance is not a indicator for future results.
Сatching knivesThis strategy is based on the regression line and volume
The Linear Regression Channel is a three-line technical indicator that displays the high, low and midpoint of the current trend.
How does it work in strategy?
If there is a deviation by a given percentage, the entry occurs
//LOGIC ENTRY
-Length-сhannel length
-Deviation-deviation of the boundaries, the higher , the rarer the entries
-% low for regression-deviation directly from the boundaries, the higher the number, the less frequent the entries
-Required % down bar-additional condition for entry (the candle on which the entry takes place from the logic must necessarily fall by a given percentage)
-Volume-the volume, which must be larger by the number of times you specify ( you can set the volume lower, but for better entries, you need to set the deviation percentages higher!)
//EXIT SETTING
Take profit and stop loss when a certain percentage is reached
//SETTINGS NEXT ENTRY AND GRID
Allow signal lower than,% - the next entry into a trade from logic occurs only when a decrease by a certain percentage
Allow grid,% - when the price drops by the percentage specified in the settings, the entry will take place, but only on the next bar.
//DATA RANGE
-Testing results for any period of time
//
Default settings for infrequent but relatively accurate entries for TF 1 hour.
It costs pyramiding 5 and take profit 5%. Choose the flavors of your choice!
Good luck!
Bollinger Stop StrategyClassic trading strategy using the Bollinger Bands indicator.
Strategy
Only stop orders are used to enter and exit the market.
If the price crossed the upper boundary of the Bollinger Bands, then enter into a long position (and close a short position).
If the price crosses the bottom of the Bollinger Bands, then enter short (and close a long position).
Short positions can be disabled (optional).
For
Crypto-currency market
Preferably coin/fiat (BTC/USD, ETH/USDT, etc)
Timeframe 1 day only
Settings
The original settings for the Bollinger Bands indicator are set by default.
Perhaps a better result will be if you use non-original price source.
Works well with OHLC4 and HLCC4.
Linear Regression Channel Breakout StrategyThis strategy is based on LonesomeTheBlue's Linear Regression Channel Indicator. First of all, I would like to thank LonesomeTheBlue. Breaking the Linear Regression Channel to close the candle triggers a Long or Short signal. If the slope of the Linear Regression Channel is positive, it is Short when it breaks out the lower line, and when the slope is negative, it is Long when it breaks out the upper line. The default is optimized for 8-hour candles, and for other hour candles, find the optimal value yourself. Below is a description of LonesomeTheBlue's Linear Regression Channel.
이 전략은 LonesomeTheBlue의 Linear Regression Channel Indicator를 기반으로 만들어졌습니다. 우선 LonesomeTheBlue님께 감사의 말씀을 드립니다. Linear Regression Channel을 돌파하여 봉 마감하면 Long 또는 Short 신호를 트리거합니다. Linear Regression Channel의 기울기가 양인 경우 하단 라인을 돌파하면 Short이고 그 기울기가 음인 경우 상단 라인을 돌파하면 Long입니다. 기본값은 8시간봉에 최적화 되어 있으며, 다른 시간봉은 직접 최적값을 찾아보십시오. 아래는 LonesomeTheBlue의 Linear Regression Channel에 대한 설명을 퍼왔습니다.
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There are several nice Linear Regression Channel scripts in the Public Library. and I tried to make one with some extra features too. This one can check if the Price breaks the channel and it shows where is was broken. Also it checks the momentum of the channel and shows it's increasing/decreasing/equal in a label, shape of the label also changes. The line colors change according to direction.
using the options, you can;
- Set the Source (Close, HL2 etc)
- Set the Channel length
- Set Deviation
- Change Up/Down Line colors
- Show/hide broken channels
- Change line width
meaning of arrows:
⇑ : Uptrend and moment incresing
⇗ : Uptrend and moment decreasing
⇓ : Downtrend and moment incresing
⇘ : Downtrend and moment decreasing
⇒ : No trend
