Trade HourThis script is just finds the best hour to buy and sell hour in a day by checking chart movements in past
For example if the red line is on the 0.63 on BTC/USDT chart it mean the start of 12AM hour on a day is the best hour to buy (all based on
It's just for 1 hour time-frame but you can test it on other charts.
IMPORTANT: You can change time Zone in strategy settings.to get the real hours as your location timezone
IMPORTANT: Its for now just for BTC/USDT but you can optimize and test for other charts...
IMPORTANT: A green and red background color calculated for show the user the best places of buy and sell (green : positive signal, red: negative signals)
settings :
timezone : We choice a time frame for our indicator as our geo location
source : A source to calculate rate of change for it
Time Period : Time period of ROC indicator
About Calculations:
1- We first get a plot that just showing the present hour as a zigzag plot
2- So we use an indicator ( Rate of change ) to calculate chart movements as positive and negative numbers. I tested ROC is the best indicator but you can test close-open or real indicator or etc as indicator.
3 - for observe effects of all previous data we should indicator_cum that just a full sum of indicator values.
4- now we need to split this effects to hours and find out which hour is the best place to buy and which is the best for sell. Ok we should just calculate multiple of hour*indicator and get complete sum of it so:
5- we will divide this number to indicator_cum : (indicator_mul_hour_cum) / indicator_cum
6- Now we have the best hour to buy! and for best sell we should just reverse the ROC indicator and recalculate the best hour for it!
7- A green and red background color calculated for show the user the best places of buy and sell that dynamically changing with observing green and red plots(green : positive signal, red: negative signals) when green plot on 15 so each day on hour 15 the background of strategy indicator will change to 15 and if its go upper after some days and reached to 16 the background green color will move to 16 dynamically.
Поиск скриптов по запросу "Candlestick"
LudovicaLudovica is a trend following strategy that works on intraday timeframes (15 minutes).
The stop loss is decided based on the last price movement, take profits are projected through a Fibonacci extension. Two different extensions are calculated, based on a filter that affects the last price movement it is chosen which one to use for take profits.
Money management is fixed fractional: regardless of the distance between entry point and stop loss, the risk on capital for each trade is decided by the user in the strategy inputs. Take profits from 1 to 4 plan to exit with 15% of the initial size, TPs from 5 to 8 plan to exit with 10% of initial size.
There is a trailing stop system to reduce the drawdown of the strategy (note that stop loss moves as the trade develops).
Take profits are limit orders, stops (loss or trailing) occur at candlestick close (set alerts on the strategy).
Optimized strategies selectable from input panel:
-ETHUSDTPERP 15 min
-CRVUSDTPERP 15 min v1
-CRVUSDTPERP 15 min v2
-SNXUSDTPERP 15 min
Other pairs in development and soon available.
This strategy is in beta stage.
J2S Backtest: 123-Stormer StrategyThis backtest presents the 123-Stormer strategy created by trader Alexandre Wolwacz "Stormer". The strategy is advocates and shared by the trader through his YouTube channel without restrictions.
Note :
This is not an investment recommendation. The purpose of this study is only to share knowledge with the community on tradingview.
What is the purpose of the strategy?
The strategy is to buy the 123-Stormer pattern at the bottom of an uptrend and sell the 123-Stormer pattern at the top of a downtrend, aiming for a short stop for a long profit target.
To which timeframe of a chart is it applicable to?
Recommended for weekly and daily charts, as the signals are more reliable, being that strategy a good option for swing and position trading.
What about risk management and success rate?
The profit target is established by the author as being twice the risk assumed. Also according to the author, the strategy is mathematically positive, reaching around 65% of success rate in tradings.
How are the trends identified in this strategy?
Two averages are plotted to indicate the trend, a fast EMA average with an 8-week close and a slow EMA average with an 80-week close.
Uptrend happens whenever the fast EMA is above the slow EMA and prices are above the fast EMA. In this case, we should start looking for a LONG entry based on the signal of the 123-Stromer pattern to buying.
On the other hand, downtrend happens when the fast EMA is below the slow EMA and prices are below the fast EMA. In this case, we should start looking for a SHORT entry based on the signal of the 123-Stromer pattern to selling.
How to identify the 123-Stormer pattern for a LONG entry?
This pattern consists of three candles. The first candle has a higher low than the second candle's low, and the third candle has a higher low than the second candle's low. In this pattern, we will buy as soon as a trade occurs above the third candle's high, placing a stop as soon as a trade occurs below the second candle's low, with profit target twice the risk assumed. In another words, the amplitude of the prices of the three candles from the third candle’s high upwards. (you can use fibonacci extension to determine your stops and profit targets).
Importantly, the low of the three candles must be above the fast EMA average and in an uptrend.
How to identify the 123-Stormer pattern for a SHORT entry?
This pattern consists of three candles. The first candle has a lower high than the second candle's high, and the third candle has a lower high than the second candle's high. In this pattern, we will sell as soon as a trade occurs below the third candle's low, placing a stop as soon as a trade occurs above the second candle's high, with profit target twice the risk assumed. In other words, the amplitude of prices of the three candles from the third candle’s low down (you can use fibonacci extension to determine your stops and profit targets).
Importantly, the high of the three candles must be below the fast average and in a downtrend.
Tips and tricks
According to the author, the best signal for both LONG or SHORT entry is when the third candle is a inside bar of second candle.
Backtest features
Backtest parameters are fully customizable. The user chooses to validate only LONG or SHORT entries, or both. It is also possible to determine the specific time period for running the backtests, as well as setting a threshold in candels for entry by the 123-Stormer pattern.
Furthermore, for validation purposes, you can choose to activate the best signal of the pattern recommended by the author of the strategy, as well as change the values of the EMA averages or even deactivate them.
Final message
Feel free to provide me with any improvement suggestions for the backtest script. Bear in mind, feel free to use the ideas in my script in your studies.
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.
TFO + ATR Strategy with Trailing Stop LossThis strategy is an experiment to learn what happens when The Trend Flex Oscillator (by Dr. John Ehlers) is used in conjunction with a volatility indicator like ATR. It was designed with cryptocurrency trading in mind.
The way I coded this experiment makes it unsuitable for bear market conditions.
When applied to a bull market, this trend-following strategy will open long positions when oversold price action appear to be reversing. It will typically close a position within a few days unless it gets caught in a bear market, in which case it holds on for dear life. I have tried to make back-testing very simple, but you should never trust it. It's merely and interesting tool for adjusting the many parameters that I've made editable in the configuration window. Those values include the ATR and TFO parameters, as well as setting a trailing stop loss. When closing a position, the strategy can optionally be told to ignore the trend analysis and only obey the trailing stop loss value. I've made an attempt to allow the user to define the minimum profit necessary to allow the strategy to close all all positions. In my observations, the 2H candlestick charts seem to produce the best results, although the parameters of the strategy could theoretically be adjusted to suit other time periods.
In summary...
This strategy has a bias for HODL (Holds on to Losses) meaning that it provides NO STOP LOSS protection!
Also note that the default behavior is designed for up to 15 open long orders, and executes one order to close them all at once.
Opening a long position is predicated on The Trend Flex Oscillator (TFO) rising after being oversold, and ATR above a certain volatility threshold.
Closing a long is handled either by TFO showing overbought while above a certain ATR level, or the Trailing Stop Loss. Pick one or both.
If the strategy is allowed to sell before a Trailing Stop Loss is triggered, you can set a "must exceed %". Do not mistake this for a stop loss.
Short positions are not supported in this version. Back-testing should NEVER be considered an accurate representation of actual trading results.
// portions © allanster (date window code)
// portions © Dr. John Ehlers (Trend Flex Oscillator)
This code is provided for educational purposes only. The results of this strategy should not be considered investment advice.
The user of this script acknowledges that it can result in serious financial loss when used as a trading tool
Outside DayThis strategy is taken from Perry Kaufman's book "Trading System and Methods".
You can enter on the direction of the candle, or opposite to it. I find that the opposite tends to yield better results in volatile assets, allowing a better reward to risk ratio. There is no stop loss in this strategy, only a fixed take profit and a time limitation.
Mean Reversion Strategy v2 [KL]Description :
This strategy will enter a position when the following conditions are met:
a) Main signal: When source data (ATR) diverts from its moving average value, and
b) Confirmation: If predicted direction of trend is favorable.
Assumptions :
During periods of high price volatility, ATR diverts from its moving average value. Eventually, ATR should revert. But since just knowing the magnitude of increase/decrease of ATR does not indicate a trend signal, we need to introduce a model to predict the current trend.
In short:
• Trend Prediction : This strategy calculates the expected logarithmic return of the security (the "Drift") and considers prices to be moving in uptrend if the drift curve is upward sloping.
• Assessment of ATR diversion : To determine "yes/no" regarding whether ATR at a given point in time has diverted, this script conducts a two-tailed hypothesis test at each candlestick period. The null hypothesis (H0) is that the fast moving average value should equal the slow moving average value (say, denoted as H0: atr14 == atr28; it is assumed that atr28 is more meaningful for the purpose of describing the current trend because it has a larger sample size). Investopedia has an article summarizing this topic .
Exit Condition :
When trailing stop loss hits.
Previous version :
This strategy is based on Version 1 published back in September . This older version considers +/- one standard deviation to be the critical values relative to average ATR when testing whether ATR has diverted from the mean. This does not take Standard Error ("SE") into account. As a result, the threshold is often too wide and it generates too many entry signals.
Take Profit On Trend (by BHD_Trade_Bot)The purpose of strategy is to detect long-term uptrend and short-term downtrend so that you can easy to take profit.
The strategy also using BHD unit to detect how big you win and lose, so that you can use this strategy for all coins without worry about it have different percentage of price change.
ENTRY
The buy order is placed on assets that have long-term uptrend and short-term downtrend:
- Long-term uptrend condition: ema200 is going up (rsi200 greater than 51)
- Short-term downtrend condition: 2 last candles are down price (use candlestick for less delay)
CLOSE
The sell order is placed when take profit or stop loss:
- Take profit: price increase 1 BHD unit
- Stop loss: price decrease 2 BHD units
The strategy use $15 and trading fee is 0.1% for each order. So that, in the real-life, if you are using trade bot, it will need $1500 for trading 100 coins at the same time.
Pro tip : The 1-hour time frame for altcoin/USDT has the best results on average.
Chanu Delta Strategy V3This strategy is built on the Chanu Delta Indicator, which indicates the strength of the Bitcoin market. When the Chanu Delta Indicator hits “Delta Bull” and “Delta Bear” 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 new version 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 INDEX:BTCUSD for the large amplitude market.
If you use this strategy in conjunction with the Chanu Delta Indicator, it is convenient to anticipate alert signals in advance. Because the Chanu Delta Indicator represents the price difference based on the Bybit BTCUSDT futures market, backtesting is possible from March 2020.
▶ Improvements and originality compared to the previous version
1. Selectable BTCUSD reference and large amplitude markets
2. Improvement of the SL/TP Function
- Improved SL/TP function based on the actual entry price of the position.
- Application of SL/TP function can be turned on/off.
MarketGod for Tradingview(strategy)Fully Open Source Tv Market God Strategy. Good Luck
Strategy Description
MarketGod can be applied to any market, with any time-frame associated to it. The signals relay the alert at the close of the period, and the painted alert is then available to users to see on the chart or even set notifications for via tradingview's alert system. We recommend that users implement marketgod on their preferred time frames for trading, which for us is the 1h, 4h, 6h, 1D and above TFs.
MarketGod Versioning
The versions included with this release are the following
MarketGod v1
MarketGod v2
MarketGod v3
MarketGod v4
MarketGod v5
MarketGod v6
MarketGod v7
MarketGod v8
MarketGodx²
Ichimoku God
Suggested Uses
• MarketGod will inevitably produce false positives. We've taken steps to reduce this but we highly suggest you add this as a component of your strategy, not an end all be all
• That said, please do not feel the need to fire a trade based solely on a marketgod signal, or to every signal it fires.
• MarketGod users should backtest their strategy using OHLC candles for best results
• Heikin Ashi candles were recomended in the past, and we have eliminated the need for them, meaning that traditional candlestick inputs will yield the highest results.
• MarketGod will always give stronger alerts on higher TF's. If the 1-Day has fired a given signal and the 30 min or similar fire the opposite signal, know that the overall trend is still likely downward. Same concept applies to all timeframes on this tool.
Adjusting the Filter Settings
This tool has a noise filter for users to adjust.
The filter is a percentage based calculation, between significant points in time. The filter ranges between .5 and 25, with .5 increments
• For lower TFs ( IE Intraday), keep the filter set between .5-5
• Mid-TFs (4H,6H,12H,1D), the recommended range is between 5.5-10
• Higher TFs (3D and Higher), look for approx 11-20 range
Customizations
Customize the indicator by adjusting the colors in the style pane. Additionally, users can change the plots into labels with the price of close added to them, or a few other label text options, listed in the 'inputs' panel, below the filter adjustments. Users can also opt to turn the strategy orders as well, as this version will have them printed.
Strategy Performance Interpretation
Its important to understand the only metric that should be relevant is not the win %, as many may initially think. Alternatively, the only metric that matters in the end is your take home profit... meaning the profit one fees and taxes are accounted for. In our example here, the % brought back since the beginning of our window of 2018 is around 47% for $10,000 initial capital and 10% traded per position. Many are ignorant to the take home profit aspect as they focus solely on the winning %, which is ultimately incorrect approach to trading as a whole. as long as we maintain +30% (our goal minimum), the outcome being in the green, is our goal.
Pivot Reversal Strategy + alerts via TradingConnector to indicesSoftware part of algotrading is simpler than you think. TradingView is a great place to do this actually. To present it, I'm publishing each of the default strategies you can find in Pinescript editor's "built-in" list with slight modification - I'm only adding 2 lines of code, which will trigger alerts, ready to be forwarded to your broker via TradingConnector and instantly executed there. Alerts added in this script: 14 and 22.
How it works:
1. TradingView alert fires.
2. TradingConnector catches it and forwards to MetaTrader4/5 you got from your broker.
3. Trade gets executed inside MetaTrader within 1 second of fired alert.
When configuring alert, make sure to select "alert() function calls only" in CreateAlert popup. One alert per ticker is required.
Adding stop-loss, take-profit, trailing-stop, break-even or executing pending orders is also possible. These topics have been covered in other example posts.
This routing works for Forex, indices, stocks, crypto - anything your broker offers via their MetaTrader4 or 5.
Disclaimer: This concept is presented for educational purposes only. Profitable results of trading this strategy are not guaranteed even if the backtest suggests so. By no means this post can be considered a trading advice. You trade at your own risk.
If you are thinking to execute this particular strategy, make sure to find the instrument, settings and timeframe which you like most. You can do this by your own research only.
Channel Strategy 0921Channel Strategy.
English:
Conditions for buying: in the channel strategy, when the price of an asset touches the lower MA of the channel line, you need to buy in Long, then you need to wait for the price to turn in the direction we need to the upper MA of the channel line. When the price crosses the upper MA line, it is necessary to close all positions on the deal.
The strategy provides safety orders to average our price in order to get more profit at the exit from the trade.
This strategy also provides parameters such as:
1. MA Length
2. Source: different calculations of candlestick closing for the channel
3. Mult: indent of channel line
4. Coeff: channel width shift
5. Order Size: order selection: fixed order /% of the deposit amount
6. Base Order: the amount of the base order
7. Safety Order: amount of the safety order
8. Max Safety Orders: maximum number of safety orders
9. Price Deviation: price deviation for placing a safety order (% of the value of the initial order)
10. Safety Order: multiplier step of safety orders
In the strategy settings, we use 0.06% commission for the futures market.
Conditions for entering a trade and exiting trades:
Entry into a trade is always on a limit order with a commission of 0.02%
Deals are always closed on the market with a commission of 0.04%
This strategy is suitable for any pair of crypto assets with individual settings for a specific pair.
In this strategy, the settings are adapted for the MATICUSDTPERP TF 15M pair on the Binance exchange.
The strategy also works for Algo Trading via API keys via personal webhook signals.
Russian:
Условия для покупки: в канальной стратегии когда цена актива касается нижней MA линии канала нужно покупать в Long, далее необходимо ждать когда цена развернется в нужную нам сторону к верхней MA линии канала. Когда цена пересекает верхнюю MA линию необходимо закрыть все позиции по сделке.
В стратегии предусмотрены страховочные ордера для усреднения нашей цены, чтобы получить больше прибыль на выходе из сделки.
В данной стратегии также предусмотрены параметры такие как:
1. Длина MA
2. Source: разные подсчёты закрытия свечей для канала
3. Mult: отступ линии канала
4. Coeff: сдвиг ширины канала
5. Order Size: выбор ордера: фиксированный ордер / % от суммы депозита
6. Base Order: сумма базового ордера
7. Safety Order: сумма страховочного ордера
8. Max Safety Orders: максимальное количество страховочных ордеров
9. Price Deviation: отклонение цены для выставления страховочного ордера (% от стоимости начального ордера)
10. Safety Order: множитель шага страховочных ордеров
В настройках стратегии комиссию мы используем 0.06% для фьючерского рынка.
Условия входа в сделку и выхода из сделок:
Вход в сделку всегда по лимит ордер с комиссией 0.02%
Закрытие сделок происходит всегда по маркету с комиссией 0.04%
Данная стратегия подходит под любую пару крипто актива с индивидуальными настройками под определенную пару.
В данной стратегии настройки адаптированы под пару MATICUSDTPERP ТФ 15М биржа Binance.
Стратегия так же работает под Algo Trading через API ключи через персональные сигналы webhook.
US 10 Yr Yield Fair ValueI calculate a fair value of the US 10 year yield applying a rolling regression (default 15 periods) with 2 different ratios.
Entry of long and short are based on differ and exit are based if yield high/low price is below/above the fair value -/+ 1 std dev.
Exit when long is based on if short is indicated or yield is inside the boundary of the FV value (+/-5% of FV for example)
Exit when short is when long is indicated.
Chanu Delta StrategyThis strategy is built on the Chanu Delta Indicator, which indicates the strength of the Bitcoin market. When the Chanu Delta Indicator hits “Delta_bull” and “Delta_bear” 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. For the 15-minute candle, "Delta_bull=32", "Delta_bear=-31", "Source=hlc3" are best. You can use it by adjusting the setting value and modifying it to suit you.
If you use this strategy in conjunction with the Chanu Delta Indicator, it is convenient to anticipate alert signals in advance. Since the Chanu Delta Indicator represents the price difference based on the Bybit BTCUSDT futures market, backtesting is possible from March 2020.
robotrading trendweekThe blue line is the closing price of the week.
Strategy
If the price is above the blue line - this is uptrend.
If the price is below the blue line - it is downtrend.
If the low candlestick is above the line - you should open a long position (and close a short position, if open).
If the high candle is below the line - you should open a short position (and close a long position, if open).
Reverse trading.
Crossing
A crossing is defined as an event, when the whole candle is above the line (high > line), or below the line (low < line). This method greatly reduces the number of false signals.
2nd Grade StrategyThis is a strategy to complement the 2GT indicator. It utilises the same rules as 2GT.
This is comprises of multiple popularly used indicators to help decide on whether to go long or short. This indicator will overlay the MA lines and background colours on your chart.
The heikin-ashi colour will be shown as the background colour. This will help you identify a trend more easily while using bars, candles, hollow candles, etc. When the background is green, it means that it is a green HA and vice versa.
The blue MA line is for showing the short-term trend. The red MA line is for showing the medium-term trend. You can select the moving average flavour of your choice in the settings.
The yellow MA line is the long-term trend that is mainly used as a filter to indicate bullish/bearish trend. The MA type for this filter can be different from the short/mid term MA.
This indicator will also show Stochastic crossovers (GC, DC, BC) on the chart. This will help to always keep your eye on the chart candles.
In the settings, you can also turn on/off bullish/bearish signals.
Rules for bullish signals on this indicator:-
1. MA: Blue > Red > Yellow (FastMA > SlowMA > FilterMA)
2. Stochastic: K > D and both are heading upwards
3. 2nd Green HA
When 2 out of the 3 rules are met, the candle background will be Aqua in colour. When all 3 rules are met, the candle background will be Green .
Rules for bearish signals on this indicator:-
1. MA: Yellow > Red > Blue (FilterMA > SlowMA > FastMA)
2. Stochastic: D > K and both are heading downwards
3. 2nd Red HA
When 2 out of the 3 rules are met, the candle background will be Orange in colour. When all 3 rules are met, the candle background will be Red .
Do note that you can hide any of these elements in via the settings.
If you find this useful, do smash the LIKE and FOLLOW button.
WSLM
[KL] Relative Volume StrategyThis strategy will Long when:
Confirmation #1: when volume is relatively high
Confirmation #2: during periods of price consolidation (See )
It exits when either (a) stop loss limit is reached, or when (b) price actions suggest trend is bearish.
Measuring price volatility to assume consolidation:
For each candlestick, we quantify price volatility by referring to the value of standard deviations (2x) of closing prices over a look-back period of 20 candles. This is exactly what the Bollinger Band (“BOLL”) indicates by default.
Knowing the value of standard deviation (2x) of prices (aka the width of lower/upper BOLL bands), we then compare it with ATR (x2) over a user-defined length (can be configured in settings). Volatility is considered to be low, relatively, when the standard deviation (x2) of prices is less than ATR (2x).
Scalper Helper System===========================================================================
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Description
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Scalper Helper System combines a series of trade strategies which have been learned and honed in the Jim of All Trades channel.
Paixy has contributed candlestick combination rules, Jonas has shared his deep understanding of Stochastic.
Jim himself has taught clearly on the merits of RSI.
This system attempts to formulate all the notes and rules I have made over the past months.
The system searches for 10 - 15 rules which are divided into bullets and bombs. Bombs relate to momentum, so these signals may not be pinpoint accurate, but they are more often leading to bigger moves.
This initial version is released mainly only to the JOAT community to help continue the development of the idea and to help find
continued improvements.
Special thanks to FiendishFeather for his strategy work, (check out his work to learn how to apply any trading strategy to his back testing harness), and the date filtering snippet and the tip to show this option at the top.
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The strategy decisions are based on the following general rules:
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BULLETs are hint to the idea of firing a small sized position into the market, BOMBs are hints to go all in - however this does not mean proper risk management should be forgotten.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
Without risk management this and any strategy will lead to failure.
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Bullet1 uses the value of the stochastic and checks for buy/sell cross over on 5m, 8m and 13m chart.
These values should be calculated on a ratio basis ideally.
Bullet2 measures divergence between the printed Stochastic signals.
Bullet3 has been decommissioned.
Bullet4 is an RSI divergence and value indicator.
Bullet5 has been decommissioned.
Bullet6 uses the history of the stochastic buy and sell signals
Bullet7 uses the Scalper Helper Trends for entries by attempting to see how the overall trend is changing. More refinement is needed here.
Bullet8 uses the Scalper Helper Trends on multiple timeframes for entries.
Bullet9 strict buy/sell signals from Stochastic RSI
Bomb1 relies on the Fast, Medium and Slow MA's being correctly lined up as well as the Stochastic, this hints at a more imminent move and so the strategy suggests a quicker entry.
Bomb2 relies on the Fast, Medium and Slow MA's NOT being correctly lined up as well as the Stochastic, and therefore has the luxury of suggesting Limit orders near the local high/low.
Bomb3 looks for two or more Stochastics signals in the same direction and then performs a divergence calculation.
Bomb4 looks a change in the Stochastics signals direction and then performs a divergence calculation.
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Configuration settings:
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Users can chose to show mainly buy and/or sell signals and can select a level of strictness. Enabling strict rules will force a multi timeframe comparison of Stochastic analysis.
Users can try different levels for long and short targets for profit and stop loss. This is important because the market does not behave the same going up as it does going down.
The RSI conditional check makes the strategy more selective. This discernment can be applied to bullets or bombs in order to validate entry and exits.
During the bull run and perhaps even in ranging markets, the RSI overbought levels is usually 70-80, but in the bear market we are seeing in Crypto now, a value of 60 is more useful. Try for yourself to see what works for you and feedback in the comments.
An additional indicator, Scalper Helper Trends is recommended to get a quick view on the trend condition (rally, base, down) by viewing the MACD from multiple time frames. Further research is required to know which larger timeframes work best here.
For the 15min chart, 15m, 30m, 45m, 60m, 120m, 240m, 360m, 960m would work well. Note it is not possible to go higher than 1000 at this time.
Whether you use the Scalper Helper trends or not for your own visual confirmation, it is possible to allow this indicator to attempt to read it for you. More research is required to best model the reading of this. For now, it will simply measure the gradient of the number of up versus down colors.
The system can also find entries off the Scalper Helper Trends - but really this, by design is not the best use of Scalper Helper Trends. Although you may prove me wrong so the option is given for you to find buy/sells with your own testing.
Users can chose to use some engulfing candle arrangements to trigger exits and define the length of the 200MA and decide if this should play a part in the filtering of the signals. Similarly, a check can be made to ensure that the first two candles after a signal are behaving as we would expect with the "Wait for 2 closing in the direction of the signal" option. This has a lot of value on the 1min chart.
When Revenge trade is set to true you may re-enter a trade in the same direction as the last one when the last one was stopped out, otherwise you would only be looking for trades in the other direction. We all should not revenge trade, and indeed I have only seen a few cases when it has increased the profitability, however this option remains for now.
The flip opens a new trade in the reverse direction when a signal is given to close a trade, but does not apply to scenarios where stop losses or take profit closed the trade.
[USDCHF-USDCAD] H1 Predict signal DinhChienFX's [2 orders]Identify trend:
4 EMAS 50-100-150-200:
- Uptrend: ema: 50 > 100 > 150 > 200
- Downtrend: ema: 50 < 100 < 150 < 200
Pivot:
- Left: 15 candles
- Right: 15 candles.
- Uptrend: Higher low - Higher High
- Downtrend: Lower Low - Lower High.
Keltner Channel:
- Uptrend: Candle crosses Upper 2.
- Downtrend: Candlestick crosses the Lower 2 line.
Strong trend according to ADX indicator:
- DI: 9
- Smooth: 9
- ADX: 38
Order entry point:
- Buy: Upper Keltner
- Sell Lower Keltner
Take Profit/Stop Loss: atr (20) x2 = Height of Keltner channel from Lower to Upper line.
breakout crossover 4H 1DHi, this script is crossover between breakouts of 4H and Day timeframe. It also checks candlestick patterns before opening trades. Red horizontal line acts as support and resistance of Daily timeframe. You can close trades at next signal or at High/Low. Enjoy trading.
Combo Backtest 123 Reversal & Qstick Indicator 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
A technical indicator developed by Tushar Chande to numerically identify
trends in candlestick charting. It is calculated by taking an 'n' period
moving average of the difference between the open and closing prices. A
Qstick value greater than zero means that the majority of the last 'n' days
have been up, indicating that buying pressure has been increasing.
Transaction signals come from when the Qstick indicator crosses through the
zero line. Crossing above zero is used as the entry signal because it is indicating
that buying pressure is increasing, while sell signals come from the indicator
crossing down through zero. In addition, an 'n' period moving average of the Qstick
values can be drawn to act as a signal line. Transaction signals are then generated
when the Qstick value crosses through the trigger line.
WARNING:
- For purpose educate only
- This script to change bars colors.
Heikin Ashi+RSI+EMA Strategy 2.0 v4 [Cryptocurrency] by GodtrixHi,
I know a lot of people are looking for a more sophisticated and customizable strategy tool, I'm facing the same problem too, so I created one for myself and decided to share it for free trials and if you think this tool do what you wanted, you can contact me for the subscription "Premium" version.
I'll keep it simple with point forms, if you have any further inquiries or questions, please feel free to message me. Thank you.
Best profit plan with this strategy is you trade on Future leverage while you hold on to your coin, so that when price goes up, your coin value goes up, and at the same time, you trade with your leverage to earn even more, easily doubling up your total profit.
Benefits:
Fully customizable and you can easily personalized it and FINE TUNE it according to the market or coin you trading on.
The strategy is based on REAL PRACTICAL trading skills, so it works in real-world.
I fixed the "repainting" issue so the backtest it shows you IS ACCURATE when you run for real-time.
We all know one indicator is not going to help you win your trades, so this strategy combines ALL three: EMA for long+short term trend, HA for short term trend, RSI for entry/exit
This strategy is designed for LONG trade (Buy low, Sell high), not for SHORT trade.
This is not day trading, it is more to mid-term trading, where there's only few trades per month
Mainly is coded to work with 3Commas bot auto trading, so you only need to key in your Bot ID & Email Token.
Bot trading NOTE:
You need to replace the Alert Message with this: {{strategy.order.alert_message}}
One Alert will work for both Buy and Sell Order
If you using other Bot service, you can enter Custom Command too, so it works on any bot service.
Lastly,
regarding the setting advice, I would say you try playing with different settings and your objective is to achieve a backtest result that has:
1) Profitable is > 80%
2) Losing trades is nearly 0 or below 25% of your winning trades. Trick is using far stop loss %
3) Net Profit be almost same or more than "Buy & Hold Profit"
If you interested in our subscription version, message me for price.
Best Luck & a million dollar profit to you,
Godtrix BITSTAMP:BTCUSD BINANCE:DOTUSDT
Smoothed Trend Wave (Strategy)
This is a the Final version of Smooth Trend Wave
* Average Trend is show
* Calculation of different period of moving average
* Candlestick Pattern
* Background color is based on candle color.
Use Strategy Format to show back-test result. When I create this indicator is based on daily chart. (lower timeframe, result might be different)
7 type of strategy (can be select)
Strategy 1 & 2 : long/short according the trend
Strategy 3 & 4 : long/short according retracement in same trend
Strategy 5 & 6 : long/short bet for rebound
Strategy 7 : potential buying point (low chance happens)
Example of back-testing is use crypto between 1-1-2019 to 30-7-2020 (after JULY is a bullish momentum will causing *repaint" of strategy result)
* Strategy is set initial equity of 10000usd
* Each order is only 30% of equity, to make risk management
* Maximum 5 order is allow in strategy
Kindly PM or comment below if you have any question.
