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
Moving Averages
Crypto BTC Correlation Scalper Gaps StrategyThis strategy is based on the gaps theory.
In this case we have the BTC futures from CME, which acts in a way similar to stocks, and we can have gaps present between close/open session, and also sometimes between same candle due to huge movements intra candle.
At the same time I have combined this with a daily moving average, to help out a bit with the trend, since we are looking at small timeframe like 1-15/30min .
On top of that we have a reverse option, where long = short and viceversa, which can be used with against BTC pairs .
Rule are simple:
For long, we have a long gap and the close of the correlated candle is above daily sma
For short, we have a short gap and the close of the correlated candle is below daily sma
For exit:
For exit, we take the highest highest values for short entry TP, meaning we get the different from the HH and rest the current open candle distance, and use that distance as a TP.
At the same time for long entry, we take the lowest low value and rest current close of the candle to that value, and we get the TP.
Can also be applied this logic for SL aswell but from the test I have found out that exiting based on a reverse condition(when tp is not being hit), gives better results/dd overall.
If you have any questions, please let me know !
LarryWillians - Simple StrategyA simple and classic strategy on market, created by LarryWillians using a EMA9.
The brute model use a Cross from closing price on EMA9. But occurs many false entries.
In other to correct this kind of thing, I add a SMA21 to confirm the trend and decrease numbers of false trades.
The strategy waits to break the last High (for buy) a position.
As a strategy requires a Risk Mannager, I created a simple way to trailing this, as well a Take Proft and Stop Loss in %.
Is not the best strategy but, is one of the most famous on financial markets. I did my adaptive version as simples as it is :)
MA Simple Strategy with SL & TP & ATR FiltersHello Guys! Nice to meet you all!
This is my second script!
This Logic is trend following logic, This detects long & short trends by comparing the value of MAs.
This fits to the longer time frame.
### Long Condition
1. Compare 4 MAs (you can chose MA Type)
- Shortest MA (MA 1)
- Shorter MA (MA 2)
- Normal MA (MA 3)
- Longer MA (MA 4)
2. If MA 1 > MA 2 > MA 3 > MA 4, then Enter Long Position
- ‘The arrangement of MAs in descending orders’ is the proxy of the long trend.
### Short Condition
1. Compare 4 MAs (you can chose MA Type)
- Shortest MA (MA 1)
- Shorter MA (MA 2)
- Normal MA (MA 3)
- Longer MA (MA 4)
2. If MA 1 < MA 2 < MA 3 < MA 4, then Enter Short Position
- ‘The arrangement of MAs in ascending orders’ is the proxy of the short trend.
### Close Condition
1. When trend Changes
- When (MA 1 > MA 2 > MA 3 > MA 4) breaks or (MA 1 < MA 2 < MA 3 < MA 4) breaks.
2. When the price hits the stoploss
3. When the price hits the take profit level (basically 50% of qty will be closed)
### Etc
1. Trend filter (ATR should be bigger than SMA of ATR)
- If the volatility of price is to small (ATR), then there could be false signal. To filter this out, I used the condition ‘ATR should be larger than SMA of ATR’.
2. Stoploss
- Enabled Stoploss based on ATR, Percent, Risk-Reward Ratio,
- Enabled Trailing Stoploss.
3. Choose MA Type
- You can choose MA Type
+ Thanks for the stoploss template @jason5480
Morning Scalp StrategyThe Morning Scalp Strategy combines the 50EMA with the Stochastic Momentum Index. The morning period is when penny stocks usually have the highest volatility, so the strategy works between 10:00 AM and 12:10 PM.
***It opens only long positions. The ideal timeframe for this scalping strategy is 5 minutes on low-price stocks. The stock should spike in the morning with momentum and Volume.
***Look for a daily or intraday support area, close to the open position, to increase the confidence in the play
The components are:
- EMA50: Exponential Moving Average (EMA50)
- Stochastic Momentum Index (SMI)
Rules:
- Period: 10:00 AM and 12:10 PM
- if SMI Crossover and SMI < 0, open a position
- If close < EMA50, close the position
- Profit target: To be decided by the user, default value = 10% above the entry price
If you have any questions, let me know!
Faytterro Estimator StrategyWhat is "Faytterro Estimator Strategy"?
"Faytterro Estimator Strategy" is strategy of faytterro estimator. if you want to know more about faytterro estimator:
What it does?
It trades according to the signals given by faytterro estimator and some additional restrictions.
How it does it?
Using the faytterro estimator and the following variables, it gives buy and sell signals in different sizes at ideal points.
How to use it?
The "source" part is used to change the source of faytterro estimator.
The "length" is the length of the fayterro estimator.
"Minimum entry-close gap" is the minimum distance between two transactions opened in opposite directions. For example, if you opened long at 20 500 and "Minimum entry-close gap" is 400, you will not receive a sell signal before the price goes above 20900.
If "minimum entry-entry gap" is the minimum difference between two transactions opened in the same direction. For example, if you open long at 20500 level and the "minimum entry-entry gap" is 400, you will not receive a "buy" signal before the price goes below the 20100 level.
"strong entry size" determines the size of strong signals. The size of ordinary signals is always 1.
note: default values for btc/usdt 1 hour timeframe.
Moving Average Displaced Envelope & ATRTS Moving Average Displaced Envelope. These envelopes are calculated
by multiplying percentage factors with their displaced expotential
moving average (EMA) core.
How To Trade Using:
Adjust the envelopes percentage factors to control the quantity and
quality of the signals. If a previous high goes above the envelope
a sell signal is generated. Conversely, if the previous low goes below
the envelope a buy signal is given.
Average True Range Trailing Stops Strategy, by Sylvain Vervoort
The related article is copyrighted material from Stocks & Commodities Jun 2009
ATR TS used by filter for MADE signals.
WARNING:
- For purpose educate only
- This script to change bars colors.
Strategy Myth-Busting #6 - PSAR+MA+SQZMOM+HVI - [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 sixth one we are automating is " I Tested ''7% Profit Per Day" Scalping Strategy 100 Times ( Unexpected Results ) " from " TradeIQ " which claims to have made 175% profit on the 5 min chart of BTCUSD with a having a 61% win rate in just 32 days.
Originally, we mimicked verbatim the indicators and settings TradeIQ was using however weren't getting promising results anything close to the claim so we decided to try and improve on it. We changed the static Parabolic SAR to be adaptive based upon the timeframe. We did this by using an adjustable multiplier for the PSAR Max. Also, In TradeIQ's revised version he substituted Hawkeye's Volume Indicator in lieu of Squeeze Momentum. We found that including both indicators we were getting better results so included them both. Feel free to experiment more. Would love to see how this could be improved on.
This strategy uses a combination of 4 open-source public indicators:
Parabolic Sar (built in)
10 in 1 MA's by hiimannshu
Squeeze Momentum by lazybear
HawkEYE Volume Indicator by lazybear
Trading Rules
5m timeframe and above. We saw equally good results in the higher (3h - 4h) timeframes as well.
Long Entry:
Parabolic Sar shifts below price at last dot above and then previous bar needs to breach above that.
Price action has to be below both MA's and 50MA needs to be above 200MA
Squeeze Momentum needsd to be in green or close to going green
HawkEYE Volume Indicator needs to be show a green bar on the histagram
Short Entry:
Parabolic Sar shifts above price at last dot below and then previous bar needs to breach below that.
Price action needs to be above both MA's and 50MA needs to be below 200MA
Squeeze Momentum needsd to be in red or close to going red
HawkEYE Volume Indicator needs to be show a red bar on the histagram
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.
Trend #2 - BB+EMAWhat is the Trend #2 - BB+EMA?
This strategy uses a combination of Bollinger Bands and Exponential Moving Averages, and adds the position management skills.
When a position is established, if the price moves in the wrong direction, EMA will move the stop price closer to the opening price, which will reduce losses during the shocks.
If the price moves in the right direction, EMA will be close to the latest price to try to keep the profit.
Once a trend starts to emerge, the strategy is bound to capture the opportunity. I think this is a very smart way to do it.
This strategy performs well in almost all cryptocurrencies, it's mean the strategy has good generalizability.
EMA and MACD with Trailing Stop Loss (by Coinrule)An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average ( SMA ), which applies an equal weight to all observations in the period.
Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA.
The result of that calculation is the MACD line. A nine-day EMA of the MACD called the "signal line," is then plotted on top of the MACD line, which can function as a trigger for buy and sell signals. Traders may buy the security when the MACD crosses above its signal line and sell—or short—the security when the MACD crosses below the signal line. Moving average convergence divergence ( MACD ) indicators can be interpreted in several ways, but the more common methods are crossovers, divergences, and rapid rises/falls.
The Strategy enters and closes the trade when the following conditions are met:
LONG
The MACD histogram turns bearish
EMA7 is greater than EMA14
EXIT
Price increases 3% trailing
Price decreases 1% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market and provides good returns.
Pairs that produce very strong results include XRPUSDT on the 1-minute timeframe. This short timeframe means that this strategy opens and closes trades regularly
In order to further improve the strategy, the EMA can be changed from 7 and 14 to, say, EMA20 and EMA50. Furthermore, the trailing stop loss can also be changed to ideally suit the user to match their needs.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
EMA Cross StrategyI write this script for my self to test EMA cross strategy for crypto futures trading.
Trend Breakout high/low #1What is the Trend Breakout high/low #1?
This script uses the high/low of each fixed time period as a conditional judgment, and when the high/low is broken as a buy/sell signal, trying to capture a trend.
How to use this script?
Start date and Stop date: You can choose the date of the test.
Trading cycle: Selected time period is used as the basis for determining the high/low and is limited to one trade only.
Stop range: This value will calculate the stop loss range. Set 50-100 that is better
Fixed mode: Fixed of lots per transaction.
---Additional Functions---
Reversal mode: Reversing the buy and sell signals, may be useful in certain situations.
Wighted mode: Increased profitability under certain conditions
When win & When lose:Judgment when there is an ongoing loss/profit as a condition, may be useful in certain situations.
Use closing price: Use the closing price breakout high/low as a conditional judgment, but this function sometimes fails.
Notes:
Trading cycle and your chart time period can't be set too close,that will result repainting.
Stop range can't be set too small,that will result repainting either.
Balance of Power Heikin Ashi Investing Strategy Balance of Power Heikin Ashi Investing Strategy
This is a swing strategy designed for investment help.
Its made around the Balace of Power indicator, but has been adapted on using the Monthly Heikin Ashi candle from the SPY asset in order to be used with correlation for US Stock/ETF/Index Markets.
The BOP acts as an oscilallator showing the power of a bull trend when its positive and a bearish trend when its in negative. At the same time we can spot reversals, based on the percentiles ( 99/1)
The rules for entry :
For long : The 99 percentile is ascending, and we are either in a positive value (>0), or we crossed the bottom place ( -0.35)
For short : the 99 and 1 percentile are descending, and we are either in a negative value(<0), or we crossed down the top place ( 0.6)
If you have any questions please let me know !
Ultra Moving Average Rating Trend StrategyThis is a technical analysis strategy based initially on the rating strategy, but fully adapted and converted to moving average rating.
In this case we are using: Ichimoku, SMA, EMA, ALMA, SMMA, LSMA, VWMA, DEMA, HMA, KAMA FRAMA, VIDYA, JMA, TEMA, ZLEMA, TRIMA and T3 moving averages.
With all of them together I am making an index.
Rules for entry and exit:
If % percentage of all the moving averages is telling to go long , we go long or exit short. And viceversa for short.
If there are any questions, please let me know !
Bollinger Pair TradeNYSE:MA-1.6*NYSE:V
Revision: 1
Author: @ozdemirtrading
Revision 2 Considerations :
- Simplify and clean up plotting
Disclaimer: This strategy is currently working on the 5M chart. Change the length input to accommodate your needs.
For the backtesting of more than 3 months, you may need to upgrade your membership.
Description:
The general idea of the strategy is very straightforward: it takes positions according to the lower and upper Bollinger bands.
But I am mainly using this strategy for pair trading stocks. Do not forget that you will get better results if you trade with cointegrated pairs.
Bollinger band: Moving average & standard deviation are calculated based on 20 bars on the 1H chart (approx 240 bars on a 5m chart). X-day moving averages (20 days as default) are also used in the background in some of the exit strategy choices.
You can define position entry levels as the multipliers of standard deviation (for exp: mult2 as 2 * standard deviation).
There are 4 choices for the exit strategy:
SMA: Exit when touches simple moving average (SMA)
SKP: Skip SMA and do not stop if moving towards 20D SMA, and exit if it touches the other side of the band
SKPXDSMA: Skip SMA if moving towards 20D SMA, and exit if it touches 20D SMA
NoExit: Exit if it touches the upper & lower band only.
Options:
- Strategy hard stop: if trade loss reaches a point defined as a percent of the initial capital. Stop taking new positions. (not recommended for pair trade)
- Loss per trade: close position if the loss is at a defined level but keeps watching for new positions.
- Enable expected profit for trade (expected profit is calculated as the distance to SMA) (recommended for pair trade)
- Enable VIX threshold for the following options: (recommended for volatile periods)
- Stop trading if VIX for the previous day closes above the threshold
- Reverse active trade direction if VIX for the previous day is above the threshold
- Take reverse positions (assuming the Bollinger band is going to expand) for all trades
Backtesting:
Close positions after a defined interval: mark this if you want the close the final trade for backtesting purposes. Unmark it to get live signals.
Use custom interval: Backtest specific time periods.
Other Options:
- Use EMA: use an exponential moving average for the calculations instead of simple moving average
- Not against XDSMA: do not take a position against 20D SMA (if X is selected as 20) (recommended for pairs with a clear trend)
- Not in XDSMA 1 DEV: do not take a position in 20D SMA 1*standart deviation band (recommended if you need to decrease # of trades and increase profit for trade)
- Not in XDSMA 2 DEV: do not take a position in 20D SMA 2*standart deviation band
Session management:
- Not in session: Session start and end times can be defined here. If you do not want to trade in certain time intervals, mark that session.(helps to reduce slippage and get more realistic backtest results)
HHLL Strategy This is simple Highest high and Lowest low strategy.
Buy when break HH+offset
Sell when break LL+offset
Offset = (HH-LL)/2
tw.tha_V1 EMAEMA Fibonacci V1 #tw.tha_V1
//@version=5
strategy(" tw.tha_",overlay=1)
a = input.int(8, "EMA 1", minval=1, maxval=9999999, step=1)
b = input.int(13, "EMA 2", minval=1, maxval=9999999, step=1)
c = input.int(21, "EMA 3", minval=1, maxval=9999999, step=1)
d = input.int(34, "EMA 4", minval=1, maxval=9999999, step=1)
e = input.int(55, "EMA 5", minval=1, maxval=9999999, step=1)
f = input.int(89, "EMA 6", minval=1, maxval=9999999, step=1)
g = input.int(144, "EMA 7", minval=1, maxval=9999999, step=1)
h = input.int(233, "EMA 8", minval=1, maxval=9999999, step=1)
i = input.int(377, "EMA 9", minval=1, maxval=9999999, step=1)
j = input.int(610, "EMA 10", minval=1, maxval=9999999, step=1)
k = input.int(987, "EMA 11", minval=1, maxval=9999999, step=1)
l = input.int(1597, "EMA 12", minval=1, maxval=9999999, step=1)
m = input.int(2584, "EMA 13", minval=1, maxval=9999999, step=1)
n = input.int(4181, "EMA 14", minval=1, maxval=9999999, step=1)
maa=ta.ema(close,a)
mab=ta.ema(close,b)
mac=ta.ema(close,d)
mad=ta.ema(close,d)
mae=ta.ema(close,e)
maf=ta.ema(close,f)
mag=ta.ema(close,g)
mah=ta.ema(close,h)
mai=ta.ema(close,i)
maj=ta.ema(close,j)
mak=ta.ema(close,k)
mal=ta.ema(close,l)
mam=ta.ema(close,m)
man=ta.ema(close,n)
plot(maa,color=color.green)
plot(mab,color=color.green)
plot(mac,color=color.green)
plot(mad,color=color.green)
plot(mae,color=color.green)
plot(maf,color=color.green)
plot(mag,color=color.blue)
plot(mah,color=color.blue)
plot(mai,color=color.blue)
plot(maj,color=color.blue)
plot(mak,color=color.blue)
plot(mal,color=color.yellow)
plot(mam,color=color.yellow)
plot(man,color=color.yellow)
tw.tha_V2 EMAEMA Fibonacci V2 #tw.tha_V2
//@version=5
strategy(" tw.tha_",overlay=1)
lot= input.float(0, "Lot", minval=0, maxval=999, step=0.5)
a = input.int(8, "EMA 1", minval=1, maxval=9999999, step=1)
b = input.int(13, "EMA 2", minval=1, maxval=9999999, step=1)
e = input.int(55, "EMA 5", minval=1, maxval=9999999, step=1)
f = input.int(89, "EMA 6", minval=1, maxval=9999999, step=1)
h = input.int(233, "EMA 8", minval=1, maxval=9999999, step=1)
i = input.int(377, "EMA 9", minval=1, maxval=9999999, step=1)
k = input.int(987, "EMA 11", minval=1, maxval=9999999, step=1)
l = input.int(1597, "EMA 12", minval=1, maxval=9999999, step=1)
maa=ta.ema(close,a)
mab=ta.ema(close,b)
mae=ta.ema(close,e)
maf=ta.ema(close,f)
mah=ta.ema(close,h)
mai=ta.ema(close,i)
mak=ta.ema(close,k)
mal=ta.ema(close,l)
plot(maa,color=color.green)
plot(mab,color=color.blue)
plot(mae,color=color.yellow)
plot(maf,color=color.orange)
plot(mah,color=color.red)
plot(mai,color=color.purple)
plot(mak,color=color.silver)
plot(mal,color=color.white)
Simple and Profitable Scalping Strategy (ForexSignals TV)Strategy is based on the "SIMPLE and PROFITABLE Forex Scalping Strategy" taken from YouTube channel ForexSignals TV.
See video for a detailed explaination of the whole strategy.
I'm not entirely happy with the performance of this strategy yet however I do believe it has potential as the concept makes a lot of sense.
I'm open to any ideas people have on how it could be improved.
Strategy incorporates the following features:
Risk management:
Configurable X% loss per stop (default to 1%)
Configurable R:R ratio
Trade entry:
Based on stratgey conditions outlined below
Trade exit:
Based on stratgey conditions outlined below
Backtesting:
Configurable backtesting range by date
Trade drawings:
Each entry condition indicator can be turned on and off
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: On higher timeframe trend EMAs, Fast EMA must be above Slow EMA
C2: On higher timeframe trend EMAs, price must be above Fast EMA
C3: On current timeframe entry EMAs, Fast EMA must be above Medium EMA and Medium EMA must be above Slow EMA
C4: On current timeframe entry EMAs, all 3 EMA lines must have fanned out in upward direction for previous X candles (configurable)
C5: On current timeframe entry EMAs, previous candle must have closed above and not touched any EMA lines
C6: On current timeframe entry EMAs, current candle must have pulled back to touch the EMA line(s)
C7: Price must break through the high of the last X candles (plus price buffer) to trigger entry (stop order entry)
SHORT
C1: On higher timeframe trend EMAs, Fast EMA must be below Slow EMA
C2: On higher timeframe trend EMAs, price must be below Fast EMA
C3: On current timeframe entry EMAs, Fast EMA must be below Medium EMA and Medium EMA must be below Slow EMA
C4: On current timeframe entry EMAs, all 3 EMA lines must have fanned out in downward direction for previous X candles (configurable)
C5: On current timeframe entry EMAs, previous candle must have closed above and not touched any EMA lines
C6: On current timeframe entry EMAs, current candle must have pulled back to touch the EMA line(s)
C7: Price must break through the low of the last X candles (plus price buffer) to trigger entry (stop order entry)
Trade entry:
Calculated position size based on risk tolerance
Entry price is a stop order set just above (buffer configurable) the recent swing high/low (long/short)
Trade exit:
Stop Loss is set just below (buffer configurable) trigger candle's low/high (long/short)
Take Profit calculated from Stop Loss using R:R ratio
Credits
"SIMPLE and PROFITABLE Forex Scalping Strategy" taken from YouTube channel ForexSignals TV
Impulse Strategy Signals V2This is a low timeframe strategy based on SMMAs and RSI, shared by Investishare.
This script turns the indicator into a strategy and allows for several variables to be customized.
