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.
Osilatörler
Kahlman HullMA / WT Cross StrategyA strategy created using Hull Moving Average and WT Cross .
Hull Moving Average turns green and WT Cross crossover this is a long. Otherwise short.
Stop Loss and Take Profit settings are available. You can set it to the level you want or turn it off.
According to my measurements, it shows the best performance in the 4-hour period. But you can find the best settings that are correct from the Strategy settings.
RSI Strategy Professional ХомячелоХз чим відрізняється. Його лекго використовувати, треба підшаманити пару параметрів і все. Використовую для ринку крипти і норм трейдиться. Індикатор дає сигнал і я зразу залітаю на всю котлєту куди він каже.
Relative Strength Index - MayurRSI backtesting long only portfolio builder.
only for investing at cheap valuations
Strategy Rsi-Long Short by SebasVentuIt is the popular RSI indicator with VWAP as the source instead of the close.
What is Volume Weighted Average Price (VWAP)?
The VWAP is calculated by adding the dollars traded for each trade (price multiplied by the number of shares traded) and then dividing it by the total shares traded. That is, volume.
Es el popular indicador RSI con VWAP como fuente en lugar de cierre.
¿Qué es el Precio Promedio Ponderado por Volumen (VWAP)?
El VWAP se calcula sumando los dólares negociados por cada transacción (precio multiplicado por el número de acciones negociadas) y luego dividiéndolo por el total de acciones negociadas. Es decir, volumen.
Bollinger Bands Strategy (MA type)The types of moving averages that Mr. Kıvanç Özbilgiç uses in his indicators and especially the "MACD Reloaded" and "SuperTrended Moving Averages" indicators gave me an idea.
Better results can be obtained in different time frames by increasing the range of Moving averages used in Bollinger Bands.
It is a trial and educational work only.
FibVIP2022TSLAThis is version 1.0 FibVIP2022TSLA Strategy. This has only been back tested for the ticker "TSLA" for the year 2022. And I real time capital tested it personally. The reason I isolated this strategy to 2022 is because Tesla'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 FibVIP2022TSLA Strategy more accurate in the future as more 2022 data comes out.
It's based on my Fibonacci VIP indicator script. Fibonacci VIP (Fibonacci Volume Indicator Precision) is a volume indicator that I made to help me have precise entry and exit timing. It's based on the well-known Fibonacci sequence 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233. The default colors I like to use can be changed to whatever you want. The numbers inputted are based on volume ema.
Bullish momentum in ascending order is 21 = white, 13 = blue, 8 = green.
Bearish momentum descending order is 89 = red, 55 = yellow, 34 = purple.
Immediate momentum 1 = orange, 2 = blue, 3 = neon green, 5 = lime.
Long term momentum 144 = lime, 233 = teal.
Four high, mid high, mid low & low dashed channel lines with transparent fill colors lime, green, maroon & red. Also, there's a gray zero static line & white dynamic horizontal dotted line ema1 & ema8 to help keep momentum in perspective. The most bullish signal is when all colors are in a top-down order 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233. The most bearish signal is when all colors are reversed and have a bottom-up order of 233, 144, 89, 55, 34, 21, 13, 8, 5, 3, 2, 1.
A crossover, cross-under, divergence or convergence of these colors, help signal the future price action. For example, green crossing over red is bullish, but green crossing under red is bearish. If colors are low / below the zero line that's bearish and if they are above the zero line, that's bullish. The FibVIP works great as a leading indicator to confirm future price action of the underlying security momentum.
BTC BOT [15min]This BOT is specialy designed for BTCUSDT 15 min Chart. It reacts to every Upward/Downward direction as fast as possible. It does not work well on higher time frame.
This BOT using 10 indicators to open a basic LONG/SHORT position.
1. CLOUD
2. TREND DETECTOR
3. TREND STRENGTH
4. PARABOLIC SAR
5. JMA
6. RANGE FILTER
7. ADX
8. TWAP TREND
9. FAST MA
10. MOMENTUM
This BOT also use 02 independent strategies for entering positions.
1. REVESALS (RSI Crossovers)
2. SCALPING (It can increase net profit but it can be risky)
ADX is the main component of this BOT.
This is purely BTC 15min strategy but this BOT could be easily convert into Altcoins Scalper.
rsisma imkind dailyrsi 14
sma 8
time fram : weekly and daily
rsi 14
sma 8
time fram : weekly and daily
rsi 14
sma 8
time fram : weekly and daily
rsi 14
sma 8
time fram : weekly and daily
Strength ATR ADX v2This strategy looks for strong price movements with a high chance of a reversal on the difference in the rates of 6 currency pairs. A combination of ADX DI- and ATR is used for confirmation.
Added the ability to close trades by TP and SL to the strategy. (off by default)
Built-in martingale and reverse martingale (off by default)
The lot size is set in the strategy settings themselves!!!
The best results were obtained on XAUUSD 5M and on 1M cryptocurrency pairs.
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.
OTT-Stoch-TP/SLThis strategy combines stochastic oscillator and OTT (OTT is originally owned by Anıl Özekşi).
The strategy is triggered at fast OTT and slow OTT crossing points. User can select the "Evaluate Stoch OTT" option which is validate the crossing points through stochastic oscillator.
In the same way, user can select "take profit", "stop loss" and position direction(long, short or both) via interface.
By the way, Stoch OTT is not classic Stochastic oscillator. Actually, it is also combined classic stochastic oscillator and OTT for long term validation to base strategy.
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.
pi RSI StrategypiRSI Strategy is based on my relative strength index indicator pi RSI because it uses the first 15 sequential numbers in Archimedes constant "pi" 3.14159265358979.. I felt that the never ending, non-repeated number, pi, was a good candidate for an input that tracks the constantly changing trends these days.
This is a price momentum strategy that helps you evaluate overbought or oversold conditions. By the default colors, when the white line is above the purple it's going bullish. And when the white line is under the purple it's going bearish.
Also, on the scale, 50 is neutral, below 25 is getting oversold and above 75 is getting overbought. This strategy is useful in conjunction with other price and volume indicators / strategies to help redundantly confirm future price action.
I've spent exhaustive effort on new research & development, engineering, back testing accuracy, real time capital testing, & future version revision of my trading indicator / strategy scripts.
FibVIP StrategyThis is version 1.0 FibVIP Strategy. It's based on my Fibonacci VIP indicator script. Fibonacci VIP (Fibonacci Volume Indicator Precision) is a volume indicator that I made to help me have precise entry and exit timing. It's based on the well-known Fibonacci sequence 1, 2, 3, 5, 8, 13, 21, 34, 55, 89...
The default colors I like to use can be changed to whatever you want. The numbers inputted are based on volume.
Bullish momentum in ascending order is 21 = white, 13 = blue, 8 = green.
Bearish momentum descending order is 89 = red, 55 = yellow, 34 = purple.
Immediate momentum 1 = orange, 2 = blue, 3 = neon green, 5 = lime.
Four high, mid high, mid low & low dashed channel lines with transparent fill colors lime, green, maroon & red.
Also, there's a gray zero line & white dynamic horizontal dotted line to help keep momentum in perspective.
The most bullish signal is when all colors are in a top-down order 1, 2, 3, 5, 8, 13, 21, 34, 55, 89. The most bearish signal is when all colors are reversed and have a bottom-up order of 89, 55, 34, 21, 13, 8, 5, 3, 2, 1.
A crossover, cross-under, divergence or convergence of these colors, help signal the future price action. For example, green crossing over red is bullish, but green crossing under red is bearish.
If colors are low / below the zero line that's bearish and if they are above the zero line, that's bullish.
The FibVIP works great as a leading indicator to confirm future price action of the underlying security momentum.
Eagle_AlgoGram_IndicatorHello traders!
I have been developing Eagle 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 4:
Stochastic RSI
ADX
MA crossover
Keltner 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 5 & 8 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 Stoch RSI is for the Stochastic 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 Stochastic RSI 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
Chanu Delta RSI StrategyThis strategy is built on the Chanu Delta RSI , which indicates the strength of the Bitcoin market. The problem with the previous Chanu Delta Strategy was that it was simply based on the price difference between the two Bitcoin markets, so there was no universality. However, this new Chanu Delta RSI strategy solves the problem by introducing an RSI that compares the price difference trend.
When the Chanu Delta RSI hits “Bull Level” and “Bear Level” and closes the candle, long and short signals are triggered respectively. The example shown on the screen is a default setting optimized for a 4-hour candlestick strategy based on the Bybit BTCUSDT futures market. You can use it by adjusting the setting value and modifying it to suit you.
This strategy is selectable from both reference and large amplitude BTCUSD markets in order to enable fine backtesting. I recommend using BYBIT:BTCUSDT for the reference market and COINBASE:BTCUSD for the large amplitude market.
(Note) Using the "Chanu Delta RSI" to know the current indicator value in real time, it is convenient to predict the signal of the strategy.
(Note) Because the Chanu Delta RSI represents the price difference based on the Bybit BTCUSDT futures market, backtesting is possible from March 2020.
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이 전략은 비트코인 시장의 강점을 나타내는 Chanu Delta RSI를 기반으로 합니다. 기존 Chanu Delta 전략의 문제점은 단순히 두 비트코인 시장의 가격차를 기준으로 하여 보편성이 없었다는 점이다. 하지만 이번 새로운 Chanu Delta RSI 전략은 가격차이 추세를 비교하는 RSI를 도입해 문제를 해결했습니다.
Chanu Delta RSI가 "Bull Level"과 "Bear Level"에 도달하고 봉마감하면 롱, 숏 신호가 각각 트리거됩니다. 화면에 보이는 예시는 Bybit BTCUSDT 선물 시장을 기반으로 한 4시간 캔들스틱 전략에 최적화된 기본 설정입니다. 설정값을 조정하여 자신에게 맞게 수정하여 사용하시면 됩니다.
이 전략은 정밀한 백테스팅을 가능하게 하기 위해 참조 및 큰 진폭 BTCUSD 시장에서 모두 선택할 수 있습니다. 참조 시장에는 BYBIT:BTCUSDT를 사용하고 큰 진폭 시장에는 COINBASE:BTCUSD를 사용하는 것이 좋습니다.
(주) "Chanu Delta RSI"를 이용하여 현재 지표 값을 실시간으로 알 수 있어 전략의 시그널을 예측하는데 편리합니다.
(주) Chanu Delta RSI는 바이비트 BTCUSDT 선물시장을 기준으로 가격차이를 나타내므로 2020년 3월부터 백테스팅이 가능합니다.
Long Term Heat/Volatility - Accumulation/Distribution v1This is a strategy specifically made for 1D BTC/USD with the aim of capturing cycle tops and bottoms. It's mainly based on two indicators: 21d average of ATR (volatility) and (BTC.price - 180d sma)/BTC.price (heat). The strategy only signals buys or sells after occurrences of high volatility, followed by extremely high or low heat values. It's optimized for utilizing accumulation and distribution at lower and higher prices respectively with respect to last 14 days. 2nd version will include dynamic dollar cost averaging during the accumulation and distribution periods.
STR:EMA Oscilator [Azzrael]Strategy based on EMA and EMA Oscilator
(EMA - close) + Std Dev + Factor = detecting oversell/overbuy
Long only!
Pyramiding - sometimes, depends on ...
There're 2 enter strategies in one script:
1 - Classic, buy on entering to OverSell zone (more profitable ~> 70%)
2 - Crazy, buy on entering to OverBuy zone (catching trend and pyramiding, more net profit)
Exit - crossing zero of (EMA - close)
sma RSI & sudden buy and sell Strategy v1This strategy uses mostly three things:-
1. average RSI (sma rsi over a period)
2. sudden buy and sudden sell (usually to infer the change in trend or direction)
3. various EMAs ( used as a filter)
I mostly build it to work on a 3min crypto chart but it should work on any timeframe or any symbol.
Settings - Length -RSI length (hardly needed to be changed but sometimes it doubles the net profit)(+/-2)
instant length - a sudden increase or decrease in the price calculated by the length of RSI (+/-10)
Bars - No of candles to verify before starting /closing the strategy (+/-20)
Lookbackno2 - another variable to verify ema opening/closing (hardly needed to change)
emas - values of different EMAs (you can change if you want but I don't recommend it though)
over40 and over60 - the value of overbuying and overselling(+/-10)
In future, I will probably add ADX or use machine learning to filter out results
It works well considering 0.05% commission per entry and exit (total of 1% per trade)
you can message me for any query or suggestions.
BTC Cap Dominance RSI StrategyThis strategy is based on the BTC Cap Dominance RSI indicator, which is a combination of the RSI of Bitcoin Market Cap and the RSI of Bitcoin Dominance. The concept of this strategy is to get a good grasp of the bitcoin market flow by combining bitcoin dominance as well as bitcoin market cap.
BTC Cap Dominance (BCD) RSI is defined as:
BCD RSI = (BTC Cap RSI + BTC Dominance RSI) / 2
Case 1 (Bull market):
Both Cap RSI and Dominance RSI values are high
Case 2 (Neutral market):
Cap RSI is high but Dominance RSI is low
Cap RSI is low but Dominance RSI is high
Case 3 (Bear market):
Both Cap RSI and Dominance RSI values are low
When the BCD RSI value closes the candle above the Bull level, it triggers a long signal and when the value closes below the Bear level, it triggers a short signal.
(Note) Please note that TradingView's market cap symbols (CRYPTOCAP:TOTAL and CRYPTOCAP:TOTAL2) started in January 2020, so strategy backtesting is possible from this point on.
(Note) Since the real-time BCD RSI value does not come out with this strategy, it is recommended to use it together because the current value can be known and the long-short signal can be predicted in advance by using a separate BCD RSI Index together.
If "Use Combination of dominance RSI ?" is not checked in addition to the recommended default value of the strategy, the recommended values are Length (14), Bull level (74), Bear level (25).
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이 전략은 비트코인 시가총액의 RSI와 비트코인 도미넌스 RSI를 조합하여 만든 BTC Cap Dominance RSI 지표를 기반으로 만들어졌습니다. 이 전략의 컨셉은 비트코인 시가총액뿐만 아니라 비트코인 도미넌스를 조합함으로써 비트코인 시장 흐름을 잘 파악할 수 있도록 하는 것입니다.
BTC Cap Dominance (BCD) RSI는 다음과 같이 정의하였습니다.
BCD RSI = (BTC Cap RSI + BTC Dominance RSI) / 2
Case 1 (강세 장):
Cap RSI와 Dominance RSI 값 모두 높은 경우
Case 2 (횡보 장):
Cap RSI는 높지만 Dominance RSI는 낮은 경우
Cap RSI는 낮지만 Dominance RSI는 높은 경우
Case 3 (약세 장):
Cap RSI와 Dominance RSI 값 모두 낮은 경우
BCD RSI 값이 Bull level 위에서 캔들 마감할 경우 long 신호를 트리거하고 Bear level 아래에서 캔들 마감할 경우 short 신호를 트리거합니다.
(주의) 트레이딩뷰의 시가총액 심볼들 (CRYPTOCAP:TOTAL과 CRYPTOCAP:TOTAL2)이 2020년 1월부터 시작하였으므로 이 시점부터 전략 백테스팅이 가능한 점을 유의하십시오.
(주의) 이 전략은 실시간 BCD RSI 값이 나오지 않기 때문에 별도의 BCD RSI Index를 함께 사용하면 현재 값을 알 수 있어 롱숏 신호를 사전에 예측할 수 있으므로 함께 사용하기를 권장합니다.
전략의 추천 기본값 외에 "Use Combination of dominance RSI ?"를 체크하지 않는 경우 권장하는 값은 Length (14), Bull level (74), Bear level (25) 입니다.
Stochastic & MAThis trading system comes from the experience of having a "fast" signal for entry at low prices (such as the stoscastic) and then "following" the stock with a "slower" indicator such as the exponential moving average. Both the input and output signals are filtered.
The use of the trading system only carries out long operations and has been tested on shares and ETFs, including indices, on daily bases (End Of Day).
ENTRY CONDITION: when stochastic's k is higher than d (on the default value of 21 periods) we enter the lower part of the oversold, to which we apply a filter or the confirmation that the closing of the day of the crossing is higher than that of the n -th previous bar (the 2nd previous bar recommended).
Other default settings are k = 6 and d = 4; the oversold level is also customizable (recommended = 25).
EXIT CONDITIONS: once the entry has "gone well", we follow the upward trend of the stock not with a stochastic oscillator - which tends to exit too soon, especially in case of strong trends - but with a simple moving average exponential (by default at 38 periods). Also in this case a filter is added, that is, k must be> to a filter threshold (recommended = 65) which is used to distinguish the decline between a "physiological" tracking. "(k drops" slowly "together with the approach of prices to the moving average) from a more" violent "tracking (prices are below the moving average and k consequently fall" suddenly ", in a few bars).
MONEY MANAGEMENT: 13% stop loss inserted (the physiological level of tracking of the shares is generally max 8-12% so we also consider a 1% margin due to trading). For more volatile stocks, the level can be extended to 20%.
LEVERAGE: the default value is equal to 1, but it is advisable, for simulations on shares, to use higher levers (x2, x3, ...) if you trade the relative CFD or on the index in case of buying and selling of Leveraged ETFs (e.g. LEVMIB which is 2x leveraged ETFs on Italian index).