Grid HWBuys 10 layers from a fixed price, there is 1% between each layer.
Sells after 1% profit on each layer.
Cicli
Saturday Strategy BTC By KziI take the hypothèse that saturday is the most stable day of the week because, no SP500, no fed announcement and no weekly closure.
My Strategy is very simple:
Take the friday color (Red = Short // Green = Long)
Then open at the friday close price
Take a small pourcentage (1 or 2 %) then close.
What ever close on midnight.
Work Well on the 1h chart.
The Yellow is the saturday.
Maybe we can add the monthly close information to avoid opening trade on saturday if we are at this event.
Enjoy and give me your comment.
Kzi
GRID Trading Optimized for Directional MarketsGRID trading is a popular trading strategy in Forex and Commodity markets.
It it however a tricky strategy when markets become directional.
This Directional GRID system adjusts its trading strategy and direction based on Overbought and Oversold RSI conditions on 2 timeframes.
It uses the short timeframe (chart) to trigger adjustments, so it delays buying/selling of all the levels, until it becomes overbought/sold
And it used the longer timeframe to trigger trading direction long/short.
This makes it far less likely to ever get "underwater", and builds in extra profit potential during market extremes.
I have coded it when i was trading SLV, but it could be optimized for any market using a "TradingView Strategy Input Optimizer".
Backtest based on a 25k max capital investment during 6 months.
Check the NET Profit (50%) result, and compare against the Buy & Hold (13.5%) return.
Losing trades are the ones that are currently open..
Av Bars in trades is the time between direction changes, as Position Adjustments are done more frequently.
Contact me for Trading Automation As A Service.
TASC 2022.04 S&P500 Hybrid Seasonal System█ OVERVIEW
TASC's April 2022 edition of Traders' Tips includes the "Sell In May? Stock Market Seasonality" article authored by Markos Katsanos. This is the code implementing the "Hybrid Seasonal System" from the article.
█ CONCEPTS
In his article, Markos Katsanos takes an updated look at the "Sell in May" adage by reviewing recent historical data for seasonal equity market tendencies. The author explores the development of a trading strategy (a set of buy and sell rules) based on this research.
He starts from the enhanced buy & hold system featured in his July 2021 TASC article, and adds additional technical conditions. These include volatility conditions ( VIX and ATR ) plus the "Volume Flow Indicator" (VFI), which is a custom money flow indicator that Katsanos introduced in his June 2004 TASC article. He provides an example of a trading system that others can test for themselves and modify as they see fit. The author notes that the system could likely be improved further by adding money management conditions (such as a stop-loss), or by adding more technical conditions not considered in the scope of this article.
█ CALCULATIONS
The entry and exit rules that constitute the trading system are defined below. The critical values of VIX, ATR and VFI (specified below) used in the calculations were determined by optimization for a daily chart of the SPY ETF . By default, the strategy only allows long entries. However, the script offers the possibility to initiate short entries upon exiting long trades through the "Long Only" toggle in the script's inputs.
Long Entry Rules
• Seasonal: The seasonal trade is initiated on the first business day October at the open.
• Volatility: In case of high volatility, that is if the VIX is above 60% or the 15-day ATR was above 90% over the past 25 days, the seasonal trade is deferred until later in the month or year, when the volatility subsides.
Exit/Short Entry Rules
• Seasonal: The exit/short signal is triggered on the first business day of August at the open.
• Volatility: The exit/short signal is triggered if VIX is above 120 % (i.e. 2 times the corresponding threshold parameter).
• Money flow (VFI): The exit/short signal is triggered if the VFI crosses under a critical value (-20) while its 10-day moving average is pointing down.
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Bias Master SystemName: Bias Master System
Category: Bias (Template/Master).
Operating mode: enters and exits at specific times of the day
Trades duration: a few hours, usually intra-day.
Timeframe: 1H.
Suggested usage: in markets where hourly biases are present.
Entry: enters long and short in predefined times, with possibility to manage trend or volatility filters.
Exit: exits in predefined times.
Usage: It can be used in a variety of ways:
- Together with the Bias Analyzer to quickly check the Bias found by the tool. This allows you to create profitable strategies in less than an hour, as an example the starting point with the Analyzer
- The strategy itself can be used to study the market for interesting biases.
- The strategy can be used as a starting code for the development of one's own strategies.
A tutorial with working examples on BTC and ETH is also available and will be provided with the access.
Configuration:
- Long Trades: possibility to specify two long trades configuration and filter them by day of the week, trend or volatility.
- Short Trades: possibility to specify two short trades configuration and filter then by day of the week, trend or volatility.
- Backtest dates: for splitting the available data in develop, test and validation.
- Results table: possibility to specify decimal precision and Dark Mode
Credits:
- QuantNomad for Results Table
Backtesting:
⁃ Exchange: BINANCE
⁃ Pair: ETHUSDTPERP
⁃ Timeframe: 1H
⁃ Fee 0.025%
Buy Monday, Exit Tuesday with Stop Loss and Take ProfitStrategy to go long at end of Monday before market closes and exit before Tuesday close, or at stop loss or take profit percentages
This runs strategy on entering by weekday name and also by session time.
Implemented are also Take Profit and Stop Loss to exit position using custom inputs.
Added stoploss and take profit plot lines
Compound Indicator Strategy - BTC/USDT 3hThis is an Strategy finds and utilise end points of short term market trends and this is a combination of many indicators such as
1. Volume change oscillator
2. Money flow index ( MFI )
3. Momentum Oscillator (MOM)
4. Stochastic Indicator
6. Relative Strength Indicator ( RSI )
7. Relative volatility index (RVI)
8. Balance of power (BOP)
9. Small moving average ( SMA )
10. Exponential moving average ( EMA )
11. Parabolic SAR
12. Super trend indicator
this script forms a compound indicator after analysing movements of those indicators through different time frames and measure its co-relation and variance with the price action. buy doing that, indicator in a position to identify short term market reversals and presented.
after generating a common indicator, it evaluates standard deviation and standard variance with currant market price action and generates a buy and sell signals. you can determine your own trading method based on available options.
ReversionStrategyThis strategy aims to identify condition of exhaustion to trade market reversal. It uses multiple indicators to enter a position. It uses following indicator:
1. RSI
2. ATR
Functionality of the Multi-Indicator:
1. RSI:
If RSI value is more then 70(input parameter) then market is over-brought. When less than 30 (input parameter) then market is over sold. Over brought or over sold market are good to play reversal.
2. ATR:
If current bar atr is more than 20 period (input) atr then it indicates over extended move.
3. Candle structure:
If a big candle closes near (within 10%) to its high then it indicates exhaustion. Same when big candle closes near to lows.
The combination of above 3 identifies buy or sell condition. Stop loss is 1.5 times atr. These parameter are input.
Sell condition:
1. RSI is more than 70
2. Current bar ATR is more than 20 perios ATR
3. Candle closes within 10% of its high.
If above 3 conditions are met on a candle then it indicates exhaustion of up move and sell order should be opened on next candle.
Buy condition:
1. RSI is less than 30
2. Current bar ATR is more than 20 perios ATR
3. Candle closes within 10% of its lows.
If above 3 conditions are met on a candle then it indicates exhaustion of down move and buy order should be opened on next candle.
Morun Astro Trend MAs cross StrategyAstrology machine learning cycles indicator signals with technical MAs indicators strategy, based on signals index of Github project github.com
Cycles StrategyThis is back-testable strategy is a modified version of the Stochastic strategy. It is meant to accompany the modified Stochastic indicator: "Cycles".
Modifications to the Stochastic strategy include;
1. Programmable settings for the Stochastic Periods (%K, %D and Smooth %K).
2. Programmable settings for the MACD Periods (Fast, Slow, Smoothing)
3. Programmable thresholds for %K, to qualify a potential entry strategy.
4. Programmable thresholds for %D, to qualify a potential exit strategy.
5. Buttons to choose which components to use in the trading algorithm.
6. Choose the month and year to back test.
The trading algorithm:
1. When %K exceeds the upper/lower threshold and then hooks down/up, in the direction of the Moving Average (MA). This is the minimum entry qualification.
2. When %D exceeds the lower/upper threshold and angled in the direction of the trade, is the exit qualification.
3. Additional entry filters include the direction of MACD, Signal and %D. Also, the "cliff", being a long entry is a higher high or a short entry is a lower low.
4. Strategy can only go "Long" or "Short" depending on the selected setting.
5. By matching the settings in the "Cycles" indicator, you can (almost) see what the strategy is doing.
6. Be sure to select the "Recalculate" buttons, to recalculate on every new Tick, for best results.
Please click the Like button and leave a comment if you appreciate this script. Improvements will be implemented as time goes on.
I am not a licensed trade advisor. This strategy is for entertainment only. Use at your own risk!
Stochastic Pop and Drop by Jake Bernstein v1 [Bitduke]I found a simple strategy by Jake Bernstein, modified it a little and created a strategy with Risk Management System (SL+TP); After that I test it on the different cryptocurrency pairs.
About the Indicator
Basically it's the strategy of 2 indicators: Stochastic Oscillator to define the bias and Average Directional Index to confirm it.
One again, It uses Stochastic Oscillator to define the trading bias. In particular, the trading bias was deemed bullish when the weekly 14-period Stochastic Oscillator was above some default value (in him paper - 50) and rising and vice versa.
Once the trading bias is established, Steckler used the Average Directional Index (ADX) to define a slowdown in the trend. ADX measures the strength of the trend and a move below 20 signals a weak trend.
Modifications
I didn't implement Average Directional Index (ADX) and test just different sources for data, oscillator periods and different levels in relation to the crypto market.
So, it shows good results with two tight thresholds at 55 and 45 level.
The bar chart below the defining the bullish and bearish periods (green and red) and gives a signal to enter the trade (purple bars).
Backtesting
Backtested on XBTUSD , BTCPERP (FTX) pairs. You may notice it shows good results on 3h timeframe.
Relatively low drawdown
~ 10% (from 2019 to date) FTX
~ 22% (4 years from 2016) Bitmex
I backtested on the different altcoin pairs as well, but the results were just not good.
Relatively good results were shown by some index pairs from the FTX exchange ( FTX:SHITPERP ), but I think there is a few data for backtesting to be asure in them.
Bitmex 3h (2017 - 2020) :
i.imgur.com
FTX 3h (2019 - 2020):
i.imgur.com
Possible Improvements
- Regarding trading algorithm it would be good to check with strategy with ADX somehow. Maybe for the better entries
- As for Risk Management system, it can be improved by adding trailing stop to the strategy.
Link: school.stockcharts.com
Combo Backtest 123 Reversal & D_DSP (Detrended Synthetic Price) This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Detrended Synthetic Price is a function that is in phase with the
dominant cycle of real price data. This DSP is computed by subtracting
a half-cycle exponential moving average (EMA) from the quarter cycle
exponential moving average.
See "MESA and Trading Market Cycles" by John Ehlers pages 64 - 70.
WARNING:
- For purpose educate only
- This script to change bars colors.
Crowd Tracker (work in progress)This indicator/strategy should be used similarly to how you would analyse sentiment data, when the crowd is bullish look to be short, when the crowd is bearish look to be long. It is also is inspired by Elliott wave, as it is looking for ending waves. The crowd tracker uses volume and price data to estimate how many people went long or short in a candle, then adds the candles over a 500 candle period together. A spike in bullishness on the indicator indicates that a bull trend may be over because ending Elliott waves, for example 5s and Cs, are when the crowd are most on board with the trend. The blue lines are a standard deviation (Bollinger Band), between these lines is where a healthy trend would be found. When the Crowd Tracker leaves and re-enters the blue lines this is a sign of a change in trader psychology, as they have reached their maximum confidence in a trend then reversed.
This is still work in progress because I want to find a better way to find the tops and bottoms of the Crowd Tracker, so it is set to invite only, after I have completed it I will probably release it in protected so follow me if you want to use it later on :) It is good at spotting entries for cryptos and stock indexes however the exits still need work.
