Strategy Myth-Busting #13 - MultiEMA+BXTrender - [SP/MYN]#13 on the Myth-Busting bench, we are automating the "I Found The Highest Win Rate 15 Minute Scalping Trading Strategy Ever" strategy from "TradeIQ" who claims to have backtested this manually and achieved 410% profit over 100 trades within 6 months on Natural Gas with 79 Wins / 21 Losses with an astounding 3.96% Max Drawdown.
It was quite challenging emulating the same subjective EMA pullback logic along with the dependent sequencing of events necessary to enter a trade and we might improve on this to make it better in the future. Super kudos to @spdoinkal who helped with this strategy. If you have ideas on how this could be improved on, would love to hear about them.
As is, we were unable to substantiate similar results to what was manually backtested by TradeIQ, we do however see potential here. Given some optimizations and improvements to the the entry logic accommodating for a wider more variable margin after pullbacks reestablish above/below the fast EMA we think the performance of this strategy could certainly be improved upon. So not sure if we have totally myth busted this completely at this point in time.
This strategy uses a combination of 2 open-source public indicators:
3 EMA's (Trading View Internal)
B-Xtrender by Puppytherapy
Three separate (21), (89) and (200) EMA's are used as a means to confirm and keep entry out of ranged markets. When the 3 EMA's are all clumped up together with no distance it's indicative of a flat or ranged market. This is then used in conjunction with B-XTrender as a means to detect the trend direction. B-XTrender which is a trend following indicator originally published in the IFTA Journal by Bharat Jhunjhunwala. It uses both a short and long term lengths along with a compound EMA used as a means to smooth and sample trend direction.
Trading Rules
15 min candles but other lower time-frames
Stop Loss on previous swing high/low
No Take Profit, Exit on new red/green circles from BX-Trender
Long
EMA Green (21) on top, White (89)in middle and red (200) on bottom and there is distance between EMA's need to be spaced, otherwise in a ranged market
Price action must pull back into 89 EMA (White line) either close or touching it.
Once pullback occurs wait for BX Trender to issue a new green circle and BX Trend line must be green and above 0
Price action must also pull up back above the (Green Line) EMA 21
Short
EMA Red (200) on top, White (89) in middle and Green (21) on bottom and there is distance between EMA's need to be spaced, otherwise in a ranged market
Price action must pull back into 89 EMA (White line) either close or touching it.
Once pullback occurs wait for BX Trender to issue a new red circle and BX Trend line must be red and below 0
Price action must also pull up back below the (green Line) EMA 21
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
在腳本中搜尋"take profit"
Strategy Myth-Busting #5 - POKI+GTREND+ADX - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our fifth one we are automating is one of the strategies from "The Best 3 Buy And Sell Indicators on Tradingview + Confirmation Indicators ( The Golden Ones ))" from "Online Trading Signals (Scalping Channel)". No formal backtesting was done by them and resuructo messaged me asking if we could validate their claims.
Originally, we mimic verbatim the settings Online Trading Signals was using however weren't getting promising results. So before we stopped there we thought we might want to see if this could be improved on. So we adjusted the Renko Assignment modifier from ATR to Traditional and adjusted the value to be higher from 30 to 47. We also decided to try adding another signal confirmation to eliminate some of the ranged market conditions so we choose our favorite, ADX . Also, given we are using this on a higher time-frame we adjusted the G-Channel Trend detection source from close to OHLC4 to get better average price action indication and more accurate trend direction.
This strategy uses a combination of 2 open-source public indicators:
poki buy and sell Take profit and stop loss by RafaelZioni
G-Channel Trend Detection by jaggedsoft
Trading Rules
15m - 4h timeframe. We saw best results at the recommended 1 hour timeframe.
Long Entry:
When POKI triggers a buy signal
When G-Channel Trend Detection is in an upward trend (Green)
ADX Is above 25
Short Entry:
When POKI triggers a sell signal
When G-Channel Trend Detection is in an downward trend (red)
ADX Is above 25
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
Pink trading (3 MA + RSI)Strategy intended for scalping on forex, commodities , crypto on a timeframe not less than m15.
The strategy is based on 3 means: fast, slow and trend. RSI is used for filter signals.
Long signals are generated when fast mean crossover slow mean and the price is over the trend mean
Short signals are generated when fast mean crossunder slow mean and the price is under the trend mean
You can choose type of mean between SMA , RMA, EMA , WMA , VWMA as well the source of values between all standard sources
RSI is used to filter the signals:
Long only if RSI is grater than 50 and the SMA of RSI (with the same period as fast mean) is ascending,
Short only if RSI is less than 50 RSI mean is descending
The trade is closed or at reaching of a Take Profit (setting in % of price, in standard forex = 100pip per %) or at reaching of maximum open candles period.
The Stop Loss is set as the lowest/highest value of the "Min/Max SL back candles" candles
Default values gives a good balance for forex, for crypto and commodities you can tweek parameters for better results
in markets with high volatility you can increase Take Profit level but keep maximum number of candles low
Simple Momentum and Trend, Fixed PnL Strategy for SPY 1D [SR]This strategy uses an ATR rule to assess momentum and a TSI rule to assess bullish or bearishness
It has a fixed stop at 50 points, and fixed take profit at 300 pips
It provides a very satisfyingly smooth equity line with a max drawdown below 5% and realized profit over 200%
This is the initial version as I work out optimizations and add plots to the chart based on the strategy's actions.
I would love to get the community's feedback and help as I'm new. Not sure how to limit the date range of the backtest to make it more realistic. I'm also not certain how to plot it best.
MACD + RSI + ADX Strategy (ChatGPT-powered) by TradeSmartThis is a trading strategy made by TradeSmart, using the recommendations given by ChatGPT . As an experiment, we asked ChatGPT on which indicators are the most popular for trading. We used all of the recommendations given, and added more. We ended up with a strategy that performs surprisingly well on many crypto and forex assets. See below for exact details on what logic was implemented and how you can change the parameters of the strategy.
The strategy is a Christmas special , this is how we would like to thank the support of our followers.
The strategy has performed well on Forex, tested on 43 1-hour pairs and turned a profit in 21 cases. Also it has been tested on 51 crypto pairs using the 1-hour timeframe, and turned a profit in 45 cases with a Profit Factor over 1.4 in the top-5 cases. Tests were conducted without commission or slippage, unlike the presented result which uses 0.01% commission and 5 tick slippage.
Some of the top performers were:
SNXUSDT
SOLUSDT
CAKEUSDT
LINKUSDT
EGLDUSDT
GBPJPY
TRYJPY
USDJPY
The strategy was implemented using the following logic:
Entry strategy:
Long entry:
Price should be above the Simple Moving Average (SMA)
There should be a cross up on the MACD (indicated by the color switch on the histogram, red to green)
RSI should be above the 50 level
Volume is above the selected volume-based Exponential Moving Average (EMA)
ADX should also agree to this position: below 50 and over 20, and above the Regularized Moving Average (REMA)
Short entry:
Price should be under the Simple Moving Average (SMA)
There should be a cross down on the MACD (indicated by the color switch on the histogram, red to green)
RSI should be below the 50 level
Volume is above the selected volume-based Exponential Moving Average (EMA)
ADX should also agree to this position: below 50 and over 20, and above the Regularized Moving Average (REMA)
Exit strategy:
Stop Loss will be placed based on ATR value (with 1.5 Risk)
Take profit level will be placed with a 2.5 Risk/Reward Ratio
Open positions will be closed early based on the Squeeze Momentum (Long: change to red, Short: change to green)
NOTE! : The position sizes used in the example is with 'Risk Percentage (current)', according which the position size will be determined such
that the potential loss is equal to % of the current available capital. This means that in most of the cases, the positions are calculated using leverage.
Parameters of every indicator used in the strategy can be tuned in the strategy settings as follows:
Plot settings:
Plot Signals: true by default, Show all Long and Short signals on the signal candle
Allow early TP/SL plots: false by default, Checking this option will result in the TP and SL lines to be plotted also on the signal candle rather than just the entry candle. Consider this only when manual trading, since backtest entries does not happen on the signal candle.
Entry Signal:
Fast Length: 12 by default
Slow Length: 26 by default
Source: hlcc4 by default
Signal Smoothing: 9 by default
Oscillator MA Type: EMA by default
Signal Line MA Type: EMA by default
Exit Strategy:
ATR Based Stop Loss: true by default
ATR Length (of the SL): 14 by default
ATR Smoothing (of the SL): EMA by default
Candle Low/High Based Stop Loss: false by default, recent lowest or highest point (depending on long/short position) will be used to calculate stop loss value. Set 'Base Risk Multiplier' to 1 if you would like to use the calculated value as is. Setting it to a different value will count as an additional multiplier. Please select only one active stop loss. Default value (if nothing or multiple stop losses are selected) is the 'ATR Based Stop Loss'.
Candle Lookback (of the SL): 10 by default
Base Risk Multiplier: 1.5 by default, the stop loss will be placed at this risk level (meaning in case of ATR SL that the ATR value will be multiplied by this factor and the SL will be placed that value away from the entry level)
Risk to Reward Ratio: 2.5 by default, the take profit level will be placed such as this Risk/Reward ratio is met
Force Exit based on Squeeze Momentum: true by default, a Long position will be closed when Squeeze Momentum turns red inside an open position and a Short position will be closed when Squeeze Momentum turns green inside an open position
BB Length: 20 by default
BB Mult Factor: 1.0 by default
KC Length: 20 by default
KC Mult Factor: 1.5 by default
Use True Range (KC): Yes by default
Base Setups:
Allow Long Entries: true by default
Allow Short Entries: true by default
Order Size: 1.5 by default
Order Type: Risk Percentage (current) by default, allows adjustment on how the position size is calculated: Cash: only the set cash ammount will be used for each trade Contract(s): the adjusted number of contracts will be used for each trade Capital Percentage: a % of the current available capital will be used for each trade Risk Percentage (current): position size will be determined such that the potential loss is equal to % of the current available capital Risk Percentage (initial): position size will be determined such that the potential loss is equal to % of the initial capital
Trend Filter:
Use long trend filter: true by default, only enter long if price is above Long MA
Show long trend filter: true by default, plot the selected MA on the chart
MA Type (Long): SMA by default
MA Length (Long): 100 by default
MA Source (Long): close by default
Use short trend filter: true by default, only enter long if price is under Short MA
Show short trend filter: false by default, plot the selected MA on the chart
MA Type (Short): SMA by default
MA Length (Short): 100 by default
MA Source (Short): close by default
Simple RSI Limiter:
Limit using Simple RSI: true by default, if set to 'Normal', only enter long when Simple RSI is lower then Long Boundary, and only enter short when Simple RSI is higher then Short Boundary. If set to 'Reverse', only enter long when Simple RSI is higher then Long Boundary, and only enter short when Simple RSI is lower then Short Boundary.
Simple RSI Limiter Type:
RSI Length: 14 by default
RSI Source: hl2 by default
Simple RSI Long Boundary: 50 by default
Simple RSI Short Boundary: 50 by default
ADX Limiter:
Use ADX Limiter: true by default, only enter into any position (long/short) if ADX value is higher than the Low Boundary and lower than the High Boundary.
ADX Length: 5 by default
DI Length: 5 by default
High Boundary: 50 by default
Low Boundary: 20 by default
Use MA based calculation: Yes by default, if 'Yes', only enter into position (long/short) if ADX value is higher than MA (ADX as source).
MA Type: REMA by default
MA Length: 5 by default
Volume Filter:
Only enter trades where volume is higher then the volume-based MA: true by default, a set type of MA will be calculated with the volume as source, and set length
MA Type: EMA by default
MA Length: 10 by default
Session Limiter:
Show session plots: false by default, show crypto market sessions on chart: Sidney (red), Tokyo (orange), London (yellow), New York (green)
Use session limiter: false by default, if enabled, trades will only happen in the ticked sessions below.
Sidney session: false by default, session between: 15:00 - 00:00 (EST)
Tokyo session: false by default, session between: 19:00 - 04:00 (EST)
London session: false by default, session between: 03:00 - 11:00 (EST)
New York session: false by default, session between: 08:00 - 17:00 (EST)
Date Range:
Limit Between Dates: false by default
Start Date: Jul 01 2021 00:00:00 by default
End Date: Dec 31 2022 00:00:00 by default
Trading Time:
Limit Trading Time: false by default, tick this together with the options below to enable limiting based on day and time
Valid Trading Days Global: 1234567 by default, if the Limit Trading Time is on, trades will only happen on days that are present in this field. If any of the not global Valid Trading Days is used, this field will be neglected. Values represent days: Sunday (1), Monday (2), ..., Friday (6), Saturday(7) To trade on all days use: 123457
(1) Valid Trading Days: false, 1234567 by default, values represent days: Sunday (1), Monday (2), ..., Friday (6), Saturday(7) The script will trade on days that are present in this field. Please make sure that this field and also (1) Valid Trading Hours Between is checked
(1) Valid Trading Hours Between: false, 0930-1600 by default, hours between which the trades can happen. The time is always in the exchange's timezone
Fine-tuning is highly recommended when using other asset/timeframe combinations.
[Strategy]Turtle's 20day High Low Break StrategyJapanese below / 日本語説明は下記
Overview
I have made this strategy mimicking the legendary traders group, Turtle’s 20days high low break strategy with more options available for take profit(TP) and stop loss(SL) conditions.
The main component of the strategy is same as my indicator, Previous N days/weeks/months high/low(see the link below) and with this strategy, you can backtest previous N days high/low break strategy.
Unlike the indicator, you can specify another previous N days high/low as TP condition. This is because Turtle used 10days low as TP condition for 20days high break buy strategy, according to articles/books about them.
ATR and other factors which is said to be used in their original strategy are not included in this strategy.
Previous N Days/Weeks/Months High Low
What is Turtle?
Turtle is the group of traders founded by Richard Dennis and William Eckhardt to prove their theory that good traders can be trained or not.
It is said that Turtle had made more than 175 million dollars over 5 years and some of the traders has become fund managers or successful individual traders even after the experiment.
What is this strategy like?
The strategy generates long entries once prices break previous N days highs and short entries when previous N days lows broken.
N is user input so you can adjust it for your own strategy.
As mentioned above, you can also specify another set of different previous N days high/low for TP conditions.
e.g. 55 days high(low) break for entry and 20days low(high) break for take profit condition.
How to use it?
What this strategy shows is almost same as the indicator, Previous N days/weeks/months high/low.
It displays previous N days/weeks/months highs and lows and you can set up entry condition based on previous N days high/low.
Previous N weeks/months highs/lows can be used as take profit points when you develop your own strategy based on this.
See the parameters below for the rest of the details.
Parameters
TP condition:
You can select from “Pips”, “When opposite entries” or “Previous high low break”.
When “When opposite entries” selected, the strategy exits the open positions when opposite directional entries happened. e.g. Long positions will be closed when short entries made.
If you would like to exit positions with specific previous N days highs/lows, you can enter N in Previous N days High/Low for TP field with “Previous high low break” selected.
SL condition:
You can select from “Pips” or “Swing High/Low”.
If “Swing High/Low” selected, left bars and right bars need input to determine swing high/low.
Note: If you select “pips” in TP/SL conditions, it currently works only for forex pairs.
What timeframe is the best for this strategy?
As this strategy is for swing trading, longer timeframes are the best.
Base on my quick check upon strategy’s performance over USD pairs in forex, daily timeframe works best, however, it could fit in with lower timeframes such as 4H and 1H by adjusting TP/SL conditions.
Look at the sample result below. The result shows the strategy’s performance for USDJPY for over 40 years on Daily timeframe and it performs fairly good with more than 2 profit factor over long period of time with up-trending equity curve.
It is just a simulation but the data shows Turtle’s strategy still works.
=================
概要
伝説のトレーダー集団タートルの20日高値・安値ブレイク手法を模倣して作成したストラテジーです。
利益確定や損切り条件を設定可能なようにして、より柔軟性を持たせています。
ストラテジーの主要な構造は過去にリリースしたインジケーターPrevious N days/weeks/months high/lowと同じです(下記リンク参照)。
このストラテジーを使うと、過去N日高値・安値のブレイク手法のバックテストを行うことが可能です。
また、前述のインジケーターとは異なり、このストラテジーでは利益確定条件のために、もう一つ別の過去N日高値・安値を設定することができます。これはタートルが20日高値のブレイクで買いエントリーを行う場合、10日安値ブレイクを手仕舞いの基準として使っていたことからです。
タートルのオリジナル手法ではATRやその他の要素も用いられていたようですが、このストラテジーには含まれていません。
Previous N Days/Weeks/Months High Low
タートルとは何か?
タートルとは、「優れたトレーダーは育成可能か?」の問いを証明するために、投資家リチャード・デニス氏とウィリアム・エックハート氏によって組織されたトレーダー集団です。
タートルは5年間に渡って1億7千5百万ドル以上を稼ぎ出したと言われており、この実験終了後にはヘッジファンドを運営する者や個人投資家として成功したトレーダーを輩出したことで知られています。
このストラテジーの特徴
このストラテジーは、価格が過去N日高値をブレイクした時にロングエントリーを、過去N日安値をブレイクした時にショートエントリーを実行します。
Nはパラメーターで指定可能なので、皆さんの独自の手法開発のために調整することができます。
また、前述の通り、利益確定条件としてエントリー条件とは別の過去N日高値・安値を指定することが可能です。
例:エントリーには55日の高値・安値のブレイクを用い、決済には20日高値・安値のブレイクを用いるなど。
使い方
このストラテジーは前述のインジケーターとほぼ同じ内容のラインを表示します。
過去N日、N週間、Nヶ月の高値・安値を表示でき、エントリーの条件として過去N日高値・安値を指定することができます。
過去N週・Nヶ月高値・安値ラインは利益確定の目安に用いるなど、皆さんが独自の手法を構築するときの参考として使ってください。
その他のパラメーターについては以下の詳細を参照ください。
パラメーター:
TP condition(利益確定条件):
“Pips(Pips指定)”, “When opposite entries(逆方向エントリー時)” or “Previous N days high low break(過去N日高値・安値)”から選択することができます。
“When opposite entries” を選択した場合、現在のポジションは、現在ポジションとは逆方向のエントリー条件が満たされた時に、決済されます。
例: ロングポジションはショートのエントリーが実行されると同時に決済される。
特定の過去N日高値・安値ブレイクを決済条件としたい場合は、“Previous N days high low break”を選択の上、該当するN日を”Previous N days High/Low for TP”の項目に入力してください。
SL condition(損切り基準):
“Pips(Pips指定)”、“Swing High/Low(スウィングハイ・ロー)”から選択することができます。
“Swing High/Low”選択時は、高値・安値決定に必要な左右のバーの本数を指定します。
注:TP、SL条件でPipsを選択した場合は、現時点では為替通貨ペアのみに機能します。
このストラテジーに最適の時間軸は?
当ストラテジーはスウィングトレードの手法となっているため、長期の時間軸が適しています。
為替のドルストレートペアでの結果を見てみると日足が最も適していますが、利益確定や損切り条件を調整することで、4時間足や1時間足向きにもアレンジできると思います。
上に示したストラテジーの例は、ドル円の日足における過去40年間以上でのバックテストの結果ですが、これだけの長期に渡って右上がりのエクイティカーブとともにプロフィットファクター2近くを維持するなど、かなり良い結果と言えるのではないでしょうか。
これは一つのシミュレーション結果に過ぎませんが、データを見る限りタートルの手法は現在でも機能すると言えるでしょう。
[SPOILED]SteadyScalpyHi Traders,
This is my testing strategy which implemented Trading View's trailing stop loss feature. This strategy mainly focus on ETH/USDT perp contract15 minutes timeframe, backtest capital is set to 1000 USDT, 10% equity, 0.04% commission, limited backtest date from Jan 2022 to now, result as shown below. I have faith in this strategy, but still please use only a small amount of money to test, like 5-10% of your total capital.
The strategy contains a couple modules, entry module, trend filter module, take profit, and stop loss module.
How to use:
Stoch RSI:
5 MA types were provided which is HMA / VWMA / WMA / EMA / SMA , HMA with Length setting of 5, 8 seems to be most efficient. VWMA and WMA with 8, 13 will generate less entry signals but with less entry risks.
Price Step:
This is the core feature of this strategy and it is based on Demark9 and price action. With Step 1&2 enabled, it will generate more entry signals. signals can be filtered by trend magic. if disable this option, Stoch RSI will be the only entry signal left in this strategy.
Trend Magic:
Trend Magic uses CCI and ATR to calculate trend status; green means uptrend, red means downtrend, pretty straight forward; the best value for this indicator would be, 21, 34, 55, 89. Only long allow when trend magic turns green and vice versa.
Take Profit and Stop Loss:
The default value for TP is set to 0.4%. Once the price hits 0.4%, it begins trailing; once the price drawdown 0.01%, it will close trade. The orange line indicates the ATR trailing take profit; once 'close' crosses ATR, it will exit the trade immediately. I also added a failsafe as a final stop loss, when price movement exceeds threshold (default 1%), it will exit trade no matter what.
Enjoy :)
RSI Divergence Strategywhat is "RSI Divergence Strategy"?
it is a RSI strategy based this indicator:
what it does?
it gives buy or sell signals according to RSI Divergences. it also has different variables such as "take profit", "stop loss" and trailing stop loss.
how it does it?
it uses the "RSI Divergence" indicator to give signal. For detailed information on how it works, you can visit the link above. The quantity of the inputs is proportional to the rsi values. Long trades are directly traded with "RSI" value, while short poses are traded with "100-RSI" value.
How to use it?
The default settings are for scalp strategy but can be used for any type of trading strategy. you can develop different strategies by changing the sections. It is quite simple to use.
RSI length is length of RSİ
source is source of RSİ
RSİ Divergence lenght is length of line on the RSI
The "take profit", "stop" and "trailing stop" parts used in the "buy" group only affect buys. The "sell" group is similarly independent of the variables in the "buy" group.
The "zoom" section is used to enlarge or reduce the indicator. it only changes the appearance, it does not affect the results of the strategy.
Double Inside Bar & Trend Strategy - KaspricciDouble Inside Bar & Trend Strategy - Kaspricci
This strategy combines the Double Inside Bar candlestick pattern with a trend filter. Once the second inside bar closes and price is above trend moving average, a buy stop order is placed at high of the candle. If price is below trend moving average, a sell stop order is placed at the low of the candle.
This strategy is for educational purposes only! It is not meant to be a financial advice.
Settings
Trend source, type of moving average and length for calculating trend
Stop Loss Type - default: ATR. You can switch between stop loss calculation based on Average True Range value or fixed value.
ATR Length / Factor / TP Ratio - default: 14 / 2.0 / 2.0. Used to calculate the Stop Loss as ATR * Factor and Take Profit as Stop Loss * TP Ratio.
FIX Stop Loss / Take Profit - default: 10 pips / 20 pips. In case you select Stop Loss Type = FIX, these value swill be used.
Risk in % - default: 1%, option to adjust the quantity of a trade based on a defined risk percentage. If enabled, it will overwrite the quantity parameter of the strategy settings.
On top you can filter trades by start and end date as well as time of the day.
The Only EURUSD Trading Strategy You Need - KaspricciThe Only EURUSD Trading Strategy You Need
I got the idea to this strategy from a youtube video uploaded by Trade Beta. It is designed to capture the early market move of major forex pair EURUSD at beginning of New York Stock Exchange (13:30 GMT). Trade Beta tested his strategy on the 5 minute chart. I have set all parameters to same values as shown in the video.
The strategy creates two pending orders at the recent swing high and low. Once the first pending order entered, the remaining one is cancelled. Latest at the end of market session all pending orders are cancelled and all open trade are closed as well.
In rare case that price at session opening is above swing high, only a pending sell stop order is created at swing high price. And in case price is below swing low, a pending buy stop order is created.
Settings
Trading Time - default: New York Stock Exchange opening hours. Pending orders are created at the close of the first candle within the session.
Swing High Source / Bars - default: High / 5 bars. Used to find the latest swing high within a range of 5 bars left and right. Price is used for buy stop order.
Swing Low Source / Bars - default: Low / 5 bars. Used to find the latest swing low within a range of 5 bars left and right. Price is used for sell stop order.
Stop Loss Type - default: ATR. You can switch between stop loss calculation based on Average True Range value or fixed value.
ATR Length / Factor / TP Ratio - default: 14 / 2.0 / 2.0. Used to calculate the Stop Loss as ATR * Factor and Take Profit as Stop Loss * TP Ratio.
FIX Stop Loss / Take Profit - default: 10 pips / 20 pips. In case you select Stop Loss Type = FIX, these value swill be used.
This strategy is for educational purposes only! It is not meant to be a financial advice.
50 Pips A Day Strategy - Kaspricci50 Pips A Day Strategy
This strategy is designed to work on 1 hour timeframe. It is designed to capture the early market move of major forex pairs like EURUSD or GBPUSD. It takes the high and low of the first candle (7 a.m. GMT, London Stock Exchange opens) and places to pending orders at these prices levels.
High + additional gap in pips = buy stop pending order
Low + additional gap in pips = sell stop pending order
For both orders a stop loss of 15 pips and a take profit of 50 pips is used as a default. As soon as price triggers one pending order, the remaining pending order is cancelled. At the end of the configured session time all open and pending orders are closed / cancelled.
Settings
Trading Time - start and end time of session. It is configured for Monday to Friday only. At the beginning the first candle is used to define stop prices for pending orders.
Source for Buy Stop order - Default: high. Used to calculate buy stop order. You can add additional pips as a gap.
Source for Sell Stop order - Default: low. Used to calculate sell stop order. You can add additional pips as a gap.
Stop Loss in Pips - Default: 15. Used for both pending orders.
Take Profit in Pips - Default: 50. Used for both pending orders.
This strategy is for educational purposes only! It is not meant to be a financial recommendation.
EMA + Williams Fractal Pullback [Trading Nerd]EMA Pullback Strategy with Williams Fractal Indicator
Backtesting script that searches for trends (long and short) and a following pullback into the EMAs. It enters on the first Williams Fractal in the desired direction. I found the Strategy on YouTube as a "M1 Scalping Strategy for Bitcoin".
Including fees the strategy is not profitalbe in lower timeframes (at least if not optimized). But it seems to work on higher timeframes as a swing traiding strategy.
Strategy Conditions
Longs:
EMA 1 > EMA 2 and EMA 2 > EMA 3
Number of need to be above the EMA 1
Then a Pullback into the EMAs is required
Enter on the first bullish Williams Fractal
Signal is canceled if the price closes below the EMA 3
Shorts:
EMA 1 < EMA 2 and EMA 2 < EMA 3
Number of need to be below the EMA 1
Then a Pullback into the EMAs is required
Enter on the first bearish Williams Fractal
Singal is canceled if the price closes above the EMA 3
Take Profit
A Risk Reward Take Profit is possible. If you want to use only a trailing Stop Loss, you can set the Take Profit to 'None'
Stop Loss
The default Stop Loss is EMA. If the Pullback has not reached the EMA 2, the Stop Loss is set to the EMA 2. If the Pullback has reached the EMA 2, the Stop Loss is set to the EMA 3.
Other Stop Loss types are available: ATR, HH/LL
Trailing Stop Loss
Available trailing Stop Loss types: ATR, HH/LL. Best practice is to also set the Stop Loss type to the same value.
The Stop Loss is updated if the value from the latest closed candle is greater/less than the previous value for a long/short trade.
Additional
Time Filter: Only opens trade in the defined Session. Open trades are still being closed outside of the Session.
Start Date/End Date: Limits the backtest for the defined Date Range
Trading Days: Only open Trades on the checked Days
Risk % per Trade: If enabled the Strategy uses X% of the capital (defined in Settings -> Properties -> Initial Capital)
Use Compound Interest: If enabled Capital is recalculated for every trade (initial capital + net Profit)
IMPORTANT: For low Timeframes and Markets with tight SL (like Forex) it requires a lower Margin Percent than default. Go to Settings->Properties and lower the required Long/Short Margin. Otherwise Trades might not be considered because of too less capital/marign. Margins can e.g. set to: 2% (Forex), 10% (Stocks), 20% (Crypto).
Strategy Myth-Busting #10 - InsideBar+EMA - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our 10th one we are automating is the " 75% Win Rate High Profit Inside Bar Trading Strategy - What If You ... " strategy from " Trade Pro " who claims to have backtested this manually and achieved 11,063% profit with a 75% winrate over 100 trades. I was unable to emulate these results consistently accommodating for slippage and commission but even so, the results look promising. I was only able to achieve this win-rate with some multiple take profit staggering. Even so the markdown is above where I would normally consider comfortable (>20%).
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
This strategy uses a combination of 2 open-source public indicators:
Inside Bar Ind/Alert by CMA
EMA (built-in)
Trading Rules
4 hour candles
Stop Loss at EMA Line with TP Target 1.5x the risk
Long Entry when these conditions are true
inside bar and bullish
Bar close's above 50 ema
Price action rises above high of inside bar .
Short Entry when these conditions are true
inside bar and bearish
Bar close below 50 ema
Price action falls below low of inside bar
EMA + Bullish Engulfing Candle Pattern StrategyHello Guys! Nice to meet you all!
This is my first open source script!
### Long Condition
1. Bullish Engulfing Candle
2. No doge Candle
3. Present volume should be bigger than the previous volume (20%)
4. Trend filter (with 2 EMAs)
### Close Condition
1. When trend Changes
2. When Bearish Engulfing Candle appears
###
No stop loss and take profit.
Heiken Ashi & Super TrendThis is one of my open source 1h strategies
It works on Binance: BTCUSDTPERP charts
This strategy involves two indicators
1. Heiken Ashi - a typical technical indicator to help highlight and clarify the current trend. This somehow allows the chart to ignore unnecessary fluctuations and make the trend more visible.
2.Super Trend - - One of the most common ATR-based indicators, the SuperTrend indicator is useful to help you catch big trends.
Buy entry conditions are as follows.
1. The Super Trend indicator running on the Heiken Ashi chart gives a buy signal.
2. Buy at the current market price and take profit at 1% of the normal k-line at this time.
Take profit
TP - 1%
Stop Loss
None
Price change scalping short and long strategyPrice change scalping Short and Long strategy uses a rate of change momentum oscillator to calculate the percent change in price between a period of time. Rate of change calculation takes the current price and compares it to a price of "n" periods while the period of time can be defined by a user. The calculated rate of change value is then compared to the upper threshold and the lower threshold values to determine if a position should be opened. If the threshold is crossed and filtering conditions are met a strategy position will be triggered. Entry, take profit, and stop loss prices are calculated and displayed on the chart as well as positions directions. Once the entry price is crossed, a long or short position is created and once the take profit price is crossed, the stop loss price will begin to trail behind the price action using the close of the previous bar. Once the trailing stop price is crossed, the position is closed. If the entry price is not crossed and the price action crosses the stop level, the trade setup is cancelled. The strategy is enhanced by DCA algorithm which allows to average entry price with safety orders. The script also allows to use Martingale coefficient to increase averaging power
Advantages of this script:
Strategy has high net profit of 293% at backtests
Backtests show high accuracy around 71%
High frequency and low duration of trades
Can be used with short-term timeframes ranging from 5 to 60 minutes
Strategy is sustainable to market slumps due to DCA implementation
Can be used for short and long positions (can be adjusted to long only, short only or both)
Can be applied to any market and quote currency
Easy to configure user interface settings
Built in detailed statistic menu
How to use?
1. Apply the strategy to a trading pair your are interested in using 5 to 60 minutes timeframe chart
2. Configure the strategy: change layer values, order size multiple and take profit/stop loss values according to current market cycle stage
3. Set up a TradingView alert to trigger when strategy conditions are met
4. Strategy will send alerts when to enter and when to exit positions which can be applied to your portfolio using external trading platforms
5. Update settings once market conditions are changed using backtests on a monthly period
4 Pack Scalping ToolThe 4 Squeeze Scalp tool is a tool that I have developed over the past few years. I was always fascinated by the fact that most people don’t know where price is heading. While Fibonacci and other linear type methods work it never gelled with me. I started by going deep into the fundamentals of momentum with an understanding that an object in motion heading in a particular direction tends to stay heading in that direction (until something derails it). Price, in my opinion, is no different.
Price can move up, down and sideways. And it moves in a wave, getting stronger over time until eventually pulling back and starting over again. In my mind, the compression of price and the relationship of that pressure to various lengths of time as well as RSI, ADX and DMI across these same time frames gives you a view on how the underlying price momentum is building up and releasing. For trading you want to be building a trade when pressure starts to build and you want to take profits when the wave starts to pull back and build for the next cycle.
Each dot represents a length of the momentum indicator and the line inside the oscillator is a weighted composite of the underlying momentum structure for each of the lengths selected. A trade follows the directional alignment of the line (red = down, yellow = neutral / chop, green = up) and the dots should be aligned from the bottom to the top (bright green = very bullish, dark green = neutral / bullish, dark red = neutral / bearish, bright red = very bearish). When the line and the dots are aligned you will have a high probability trade.
The backtest results below are based on 2 years of backtesting, using a 2 contract trade on a 100K account. While the absolute return is not meaningful the win rate and PF are great for a trade on CL on this timeframe. The tool can be used on any asset over any timeframe in a multitude of combinations.
To get access to the tool, please contact the author.
ninja strategyThe ninja strategy is 3-minute scalping.
It takes profits from very short term ups and downs.
STD-Filtered, Gaussian-Kernel-Weighted Moving Average BT [Loxx]STD-Filtered, Gaussian-Kernel-Weighted Moving Average BT is the backtest for the following indicator
Included:
This backtest uses a special implementation of ATR and ATR smoothing called "True Range Double" which is a range calculation that accounts for volatility skew.
You can set the backtest to 1-2 take profits with stop-loss
Signals can't exit on the same candle as the entry, this is coded in a way for 1-candle delay post entry
This should be coupled with the INDICATOR version linked above for the alerts and signals. Strategies won't paint the signal "L" or "S" until the entry actually happens, but indicators allow this, which is repainting on current candle, but this is an FYI if you want to get serious with Pinescript algorithmic botting
You can restrict the backtest by dates
It is advised that you understand what Heikin-Ashi candles do to strategies, the default settings for this backtest is NON Heikin-Ashi candles but you have the ability to change that in the source selection
This is a mathematically heavy, heavy-lifting strategy. Make sure you do your own research so you understand what is happening here.
STD-Filtered, Gaussian-Kernel-Weighted Moving Average is a moving average that weights price by using a Gaussian kernel function to calculate data points. This indicator also allows for filtering both source input price and output signal using a standard deviation filter.
Purpose
This purpose of this indicator is to take the concept of Kernel estimation and apply it in a way where instead of predicting past values, the weighted function predicts the current bar value at each bar to create a moving average that is suitable for trading. Normally this method is used to create an array of past estimators to model past data but this method is not useful for trading as the past values will repaint. This moving average does NOT repaint, however you much allow signals to close on the current bar before taking the signal. You can compare this to Nadaraya-Watson Estimator wherein they use Nadaraya-Watson estimator method with normalized kernel weighted function to model price.
What are Kernel Functions?
A kernel function is used as a weighing function to develop non-parametric regression model is discussed. In the beginning of the article, a brief discussion about properties of kernel functions and steps to build kernels around data points are presented.
Kernel Function
In non-parametric statistics, a kernel is a weighting function which satisfies the following properties.
A kernel function must be symmetrical. Mathematically this property can be expressed as K (-u) = K (+u). The symmetric property of kernel function enables its maximum value (max(K(u)) to lie in the middle of the curve.
The area under the curve of the function must be equal to one. Mathematically, this property is expressed as: integral −∞ + ∞ ∫ K(u)d(u) = 1
Value of kernel function can not be negative i.e. K(u) ≥ 0 for all −∞ < u < ∞.
Kernel Estimation
In this article, Gaussian kernel function is used to calculate kernels for the data points. The equation for Gaussian kernel is:
K(u) = (1 / sqrt(2pi)) * e^(-0.5 *(j / bw )^2)
Where xi is the observed data point. j is the value where kernel function is computed and bw is called the bandwidth. Bandwidth in kernel regression is called the smoothing parameter because it controls variance and bias in the output.
Capital Coders - Volume/Volatility StrategyThis strategy utilizes a combination of Volume and volatility to identify highly volatile candles, in periods of high and low volume trading. This allows the strategy to adjust to the market conditions. The Average True Range will highlight High Volatility breakouts, while the 24Hr Volume will determine weather the Trend will continue, or reverse.
Risk Management is an important part of any trading strategy. With this Strategy, you can leave your Risk calculator at home. Simply enter the maximum Risk per trade (% of your account) and let the Strategy determine your lot/position size.
Dynamically exit the market based on a single or multiple take profit levels. With simple configuration, this makes it easier than ever to dynamically exit the market.
Strategy includes the following features
Built in Risk Management
Variable Take Profit Levels
Built in Strategy Alerts
Signal Customization
ALMA/EMA/SRSI Strategy + IndicatorBack with another great high hit rate strategy!!
Disclaimer* This strategy was sampled using source code written by @ClassicScott , as referred to in the script, there is a clear line where the source code was scripted by myself.
This Strategy consists of three key factors, the ALMA, EMA crossover, and a Stochastic Rsi
ALMA: The Alma is the step line shown, turning green and red at select times. This average value gives general oversight of the macro movement of price action. and this particular one was coded by Mr.ClassicScott.
EMA crossover: At the input screen you are given an option of the fast and slow ema's. The default is solely for the hit rate and correlation to the Alma of this strategy. The arrows you see depicted on the chart are the crossover events happening.
Stochastic Rsi: The Stochastic Rsi is a stochastic value, using data sampled from the rsi. The use of this indicator in my strategy is to prevent entries when too overbought and oversold, as well as closures and vice versa, to prevent holding bags either way.
Fixed % TP: In the input screen you are given a take profit and stop loss percentage, for good R/R the hit rate will take a notch down, but with no R/R it will be near perfect.
How to use this:
Add it to your chart to get the strategy inputs. (The strategy is really only useful on a 15min TF. However the indicator within it can be used on anything at anytime!)
Watch the yellow and aqua moving averages, these are your ema's and crossover's will trigger signals based on your integer inputs.
Find Correlation between other leading indicators, as well as crossover's down/up and a red/green alma.
DO NOT use the arrows as buy/sell signals. These are simply to show ema's are crossing under or over. Momentum indicator's paired with this can be useful to determine if it could be a buy signal or sell signal.
Cheat Code's Notes:
Almost at 1000 boosts!!! I appreciate the support from everyone and I will keep trying my best to deliver quality strategies for the people.
-Cheat Code
BYBIT:BTCUSDT
Longbithello Traders !
Inspired by the indicator Range Filter Buy and Sell 5min by guikroth , namely calculation and works price movement range filter .
And Inspired by the indicator by the indicator VuManChu Cipher B + Divergences by vumanchu namely calculation and working out divergences and convergences , i was inspired to create a strategy .
This is indicator - strategy - ( Longbit ) - aggregate and my modification indicators : Range Filter Buy and Sell 5min by guikroth , VuManChu Cipher B + Divergences by vumanchu , and diferent exponential moving average .
The strategy - ( Longbit ) works on the basis of the price movement range filter , first a smooth average price range is calculated for the basis of the filter and multiplied by a specified amount by indicator Range Filter Buy and Sell 5min by guikroth , and some calculations working out divergences and convergences by indicator VuManChu Cipher B + Divergences by vumanchu . And diferent exponential moving averages for zones Bull / Bear trend for trend trading , and using take and diferent stop loss : algo , user or percentage .
Thus, using my strategy, we get the best entry point to open trades after confirming divergences
example in the picture
or
And when these trend signals are much stronger
example in the picture
Actual Version recommended used for BTCUSDC / BTCUSDT 4 hours time frame and used default settings and stop loss - algo , take profit 6 %
example in the picture
But it can also be used on all time frame with these settings: MaxMin3 Data Sampling period 6 Range Multiplier 2 and Take profit 2.3 % , stop loss algo
DISCLAIMER: This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. I am not responsible for any losses you may incur.
Привет, Трейдеры ! Вдохновленный индикатором Range Filter Buy and Sell 5min by guikroth , а именно работой и вычеслением диапазона фильтра движения цены . А также вдохновленный индикатором VuManChu Cipher B + Divergences by vumanchu, а именно дивергенций и конвергенций , я был вдохновлен создать эту стратегию
Эта тратегия - (Longbit) - это совокупность индикаторов : Range Filter Buy and Sell 5min by guikroth , VuManChu Cipher B + Divergences by vumanchu, и разние виды экспоненциальных средних .
Стратегия - (Longbit) работает на основе фильтра диапазона изменения цен, сначала рассчитывается гладкий средней диапазон цен для базы фильтра и умножается на оговоренную сумму по индикатору Range Filter Buy and Sell 5min by guikroth модифицированой версии , а также некоторые расчеты вычислений дивергенций и конвергенции по показателю индикатора VuManChu Cipher B+ Divergences by vumanchu. И различные экспоненциальные среднее и их зон для определения тенденции либо трендов для торговли по тренду , и с использованием стоп лоса : алго, пользовательский или процентный .
Таким образом, используя мою стратегию, мы получим лучшую точку для открытия сделок после подтверждения дивергенций или конвергенций
А когда эти сигналы по тренду они намного сильнее на рисунке , примеры на картинках выше
Рекомендуемую для 4-часового тм BTCUSDC/BTCUSDT , и работать с помощью algo stop loss , и take в 6 % с настройками по умолчанию , но можно также на использовать на всех тм с такой вот настройкой :
Данные МакМин3
Sampling period 6
Range Multiplier 2
Примеры на картинках выше
Предупреждаю : Эта стратегия информационного планирования предназначен исключительно для индивидуального пользования и образовательных целей. Это не финансовая или инвестиционная консультация. Инвестиции всегда осуществляются на собственном риске и основываются на вашем личном суждении. Я не отвечаю за потери, которые вы можете понести.
VIPThis indicator is using the modified "SSS".
This strategy uses combined indicators to create LONG entry points, the strategy was first found by saudALThaidy.
How to use: Open your asset and pick a timeframe between 5min and 2hours (recommended: 30min, 45min), the strategy will give entry points itself, you can monitor and take profit manually(recommended), or you can use the exit setup.
exit setup:
Take Profit : close the trade and take profit after the specified percentage from the entry point gets hit.
Use Stop Percentage : if false, trade will be closed if it gets below MA line, if true it will use the next set up.
StopLose Percentage : specify a percentage to close the trade if the asset price goes below it.
Important Notes:
As saudALThaidy states that the strategy must be used with -heiken ashi- candles for the best result.
for best use of the strategy, use (Take Profit = 1,Use Stop Percentage=false) to get every trade, and take profit manually when ever you see the best.
For any notes on the strategy to be edited, or for another strategies ideas please comment.