Strategy - Profit Maximizer by PMaxIt is a small modification to the "Profit Maximizer Max" script to make it a strategy by date range.
Strategy
Momentum Strategy (BTC/USDT; 30m) - STOCH RSI (with source code)Here's a strategy for low time frames (30min suggested) for BTC , based on momentum Analysis using Stochastic RSI
By default the strategy will use the 50% of the specified capital for each trade; if "Gamble Sizing" is enabled, it will add the specified amount of capital (25% by default, until reaching the 100% limit or lower) for the next trade after having detected a loss in the previous trade; if the next trade is successful, the size for the next trade comes back to 50%
• Trend Filter LONG: If the fast exponential moving average is UNDER the slow exponential moving average , it won't open LONG positions
• Trend Filter SHORT: If the fast exponential moving average is ABOVE the slow exponential moving average , it won't open SHORT positions
• Bars delay: the strategy will wait the specified amount of bars before closing the current position; the counter is triggered as soon as the closing trade condition is verified
BY MAKING USE OF THIS STRATEGY, YOU ACKNOWLEDGE AND AGREE THAT: (1) YOU ARE AWARE OF THE RISKS ASSOCIATED WITH TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; (2) YOU SHALL ASSUME ALL RISKS RELATED TO THE USE OF THIS STRATEGY AND TRANSACTIONS OF DIGITAL CURRENCIES AND THEIR DERIVATIVES; AND (3) I SHALL NOT BE LIABLE FOR ANY SUCH RISKS OR ADVERSE OUTCOMES.
SOURCE CODE BELOW
Strategy Template[Benson]A strategy template with following user inputs:
1. backtest start date
2. tp% and stop loss%
3. trail stop price and trail stop offset
The long and short condition is ma crossover and corssunder by default.
You can change the logic with your own.
Open Close Cross Strategy R6.1 revised by yourmattieOriginal version: Open Close Cross Strategy R5 revised by JustUncle.
Change: script changed to a study script with custom alerts.
This revision is an open Public release, with just some minor changes. It is a revision of the Strategy "Open Close Cross Strategy R2" originally published by @JayRogers.
Revised by JustUncleL
Description :
Strategy based around Open-Close Moving Average Crossovers optionally from a higher time frame.
Read more about the indicator original script
Klik here
##USE AT YOUR OWN RISK##
Use this as overlayer on the original strategy to set custom alerts.
Info: with this study script no buy/sell arrows show up op the chart.
Does some know a solution for this issue:
Issue: sometimes it gives a false signal because even when you set "one per bar close" the custom set alert might come halfway the bar....and it might be a false signal when the bar is closed
Does somone know a fix for this? I tried with barstate.iscomfirmed but it didn't work for me.
Ps. I'm not a developer...just changed the scipt by watching a youtube tutorial.
MrBS:Directional Movement Index [Trend Friend Strategy]This goes with my MrBS:DMI+ indicator. I originally combined them into one, but then you cannot set alerts based on what the ADX and DMI is doing, only strategy alerts, so separate ones have more flexibility and uses.
Indicator Version is found under "MrBS:Directional Movement Index " ()
//// THE IDEA
The majority of profits made in the market come from trending markets. Of course there are strategies that would say otherwise but for the majority of people, THE TREND IS YOUR FRIEND (until the end). The idea is to follow the trend, entering once it has established its self and exiting positions when the trend weakens. This strategy gives a rough idea of the returns produced from following purely the ADX signals. At first Heikin Ashi values were used for the calculation but the results show it's not that effective. The functionality to switch between calculation types has been left in, so we can uses HA candle data to generate signals from while looking at an OHLC chart, if we want to experiment. Due to the way strategies work, we are unable to get reliable results when running the strategy on the HA chart even if we are calculating the signals from the real OHLC values. It is best to always run strategies on standard charts.
When using this strategy, I look for confirmation of the signal based on stochastic (14:3:6) direction, reversal level of stochastic, and divergance, to add confidence and adjust position size accordingly. I am going to try and code some version of that in future updates, if anyone can help or has suggestions please drop me a message.
//// INDICATOR DETAILS
- The default settings are for optimized Daily charts, for 4 hour I would suggest a smoothing of 2.
- The default values used for calculation are the Real OHLC, we can change this to Heikin Ashi in the menu.
- The strategy enters a position when ADX crosses the threshold level, and closes the position when ADX starts to fall.
- There is a signal filter in the form of a 377 period Hull Moving Average, which the price must be above or bellow for long and short positions respectively.
- The strategy closes the position when a cross-under of the ADX and its 4 period EMA. This is an attempt to stay into positions longer as sometimes the ADX will fall for 1 bar and then keep rising, while the overall trend is strong. The downside to this is that we exit trades later and this affects our max drawdown.
Stop loss and Take Profit in $$ exampleThis is a simple exit example in $$ (symbol's currency) for educational purpose .
Booming Bull 15 Min StrategyBooming Bull 15 Min strategy
Conditions
First 15 min candle high-low must be less than .75%
Next candle is crossing either high or low
BB+K strategyApplying Bollinger Bands and K-bar strategies
Suitable for long time periods
Suitable for forex trading, when the forex deviation is too large, the Fed will intervene and thus correct
Strategy: Enter when the price hits the upper or lower BB track and there is a reversal of the strong signal, and exit when it hits the other track and there is a reversal signal.
Escaping of Rate from Avarage By Mustafa OZVER StrategyI simulated the EoRfA indicator with the gold price
For details about the indicator, visit my profile on tradingview
For Simulation, with default settings, we order
if Eorfa > 1 and change(eorfa) < 0
sell
if Eorfa < -1 and change(eorfa) > 0
buy
And we got
- 2.49 % profit
- 74 % profittable order from all
But only this value can not guarantee good results for trading. BE CAREFUL
Vegas Tunnel strategyApply Vegas Tunnel,
Use EMA144 169 as medium-term trend support
Also use EMA 576 676 and 4 multiples of 144 and 169 as long-term support and trend direction
Also increase EMA 36 43 as a short-term trend support
Suitable for stocks, indices, commodities
The applicable time scale can back-test the usability of the strategy by itself, and select the most applicable target
Introduction to current trading strategy:
According to the trend, the price will enter the market when it touches the support of each stage. When it touches the bollinger bands, it is Squeeze. Hold until it leaves the bollinger bands
But the trading strategy can be more optimized, see the code for details
Composite Index [TipsChain]This is a formula Ms Brown developed to identify divergence failures with in the RSI . This also highlights the horizontal support levels with in the indicator area.
The Composite Index study comprises 2 momentum indicators on the RSI which are smoothed using a moving average. Control of the upper and lower indicators can be used to adjust the periods represented by each through the Object Properties dialog box for the study.
The Composite Index is an oscillator that will warn when the RSI is failing to detect a price trend reversal by forming divergences with the RSI. It can be used in any time frame or market.
Usage:
1. Check hidden and regular divergences on RSI+COMPOSITE_INDEX and PRICE+COMPOSITE_INDEX.
2. After finding divergence wait for COMPOSITE_INDEX to cross under/over it's moving averages to trigger.
MACD 50x Leveraged Short Strategy with Real Equity
Hello there ,
Short version of the Macd Long strategy.
MACD Long strategy:
Adding margin: Forbidden or not specified. (Add Margin : No)
Position size: (for each trade) 1%
Stop-Loss: (2% Above Entry Level)
Long: macd crossunder
Exit: macd crossover
Or ofc touching the stop-Loss value as predicted.
These strategies are just examples.
The goal is to observe true equity and equity change.
Warning: This strategy simulation is for Short direction only.
Regards.
MACD Strategy with trailing ATR stopThis is a trend based strategy that uses EMA and SMA intersection for determining the direction of the trend and MACD for the entry signal. At the same time, the strategy uses ATR, which is working as a trailing stop.
The strategy entry will work when the Trend ribbon will turn green and MACD line will crossover the signal line. This strategy also takes into account the pyramiding and allows to enter the second time if the signal will repeat itself.
There are 3 exit points. The first 10% of the position will be closed when the price will increase by 1%. The second portion of 50% will be closed when the price reaches 5% Take profit target. The remaining 40 % of the position will wait for the exit signal which will occur when the price closes below the ATR line.
The strategy is using a fixed amount in dollars, each time the entry occurs the strategy will enter with 100$ in the order.
The strategy can be applied to other crypto assets. However, they will require input changes.
Best of luck with your trading.
Bjorgum Triple EMA Strat-This script uses a triple EMA strategy to establish trend direction and reversal points
-Inputs are smoothed with Heiken Ashi values to reduce whipsaws, while providing timely execution
-Buy and sell indications are dictated by bar color
-Bar color is dictated by the candle close value in relation to the EMAs, specifically the faster of the 3
(If candle closes above or below the fast and intermediate averages, a buy or sell signal is indicated by bar color change)
-If the close falls between the two a cautionary signal is given. The viewer can hold, or take profit, or evaluate other indicators for clues
-Best results are obtained when coupled with Bjorgum TSI and Bjorgum RSI for confirmation of signals (see TradingView profile)
@Bjorgum on Stocktwits
Implied Volatility PercentileThis script calculates the Implied Volatility (IV) based on the daily returns of price using a standard deviation. It then annualizes the 30 day average to create the historical Implied Volatility. This indicator is intended to measure the IV for options traders but could also provide information for equities traders to show how price is extended in the expected price range based on the historical volatility.
The IV Rank (Green line) is then calculated by looking at the high and low volatility over the number of days back specified in the input parameter, default is 252 (trading days in 1 year) and then calculating the rank of the current IV compared to the High and Low. This is not as reliable as the IV Percentile as the and extreme high or low could have a side effect on the ranking but it is included for those that want to use.
The IV Percentile is calculated by counting the number of days below the current IV, then returns this as a % of the days back in the input
You can adjust the number of days back to check the IV Rank & IV Percentile if you are not wanting to look back a whole year.
This will only work on Daily or higher timeframe charts.
Support and Resistance StrategySupport and resistance Strategy (FX and Crypto)
Description: This strategy uses “support” S and “resistance” R levels, which can be computed
using the “pivot point” (a.k.a. the “center”) C as follows:
C = (PH + PL + PC) / 3
R = 2 × C - PL
S = 2 × C - PH
Here PH, PL and PC are the previous day’s high, low and closing prices.
One way to define a trading signal is as follows (as above, P is the current price):
Signal:
Establish long position if P > C
Liquidate long position if P ≥ R
Establish short position if P < C
Liquidate short position if P ≤ S
Other definitions of the pivot point (e.g., using the current trading day’s open price) and
higher/lower support/resistance levels exist.
Style tags: Trend Following, Trend Analysis
Asset class: Equities, Futures, ETFs, Currencies and Commodities
Dataset: FX Minutes/Hours/Days
Simple Moving Average + ADX + DMI + Time Range Test
Use long and short moving average to look for a potential price in/out. (default as 14 and 7, bases on the history experience)
ADX and DMI to prevent the small volatility and tangling MA.
This script allows you to set the beginning & end time to test the bullish & bearish market.
If you want an indicator version, here is it.
Thanks.
Combo Backtest 123 Reversal & Volume SMA 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
Volume and SMA
WARNING:
- For purpose educate only
- This script to change bars colors.
EMA_cumulativeVolume_crossover[Strategy]This strategy is back test for EMA_cumulativeVolume_crossover
BUY
When ema50 crossover cumulative volume of 100 period
Exit
When ema50 cross down cumulative volume of 100 period
Partial Exit
for the partial profit I have used stopLoss value , but up side. When price is above partial profit and crossing down EMA 50 , exit 1/3 position
Please note when you select this setting, you see spike number of trades, that is because you closing partial number of trades. which increases the winning rate but reduces the total net profit.
Stop Loss
Defaulted to 8%
Added parameter to take LONG or SHORT trades ... on SHORT side not very good results ... you can review it and provide feedback how to improve the performance.
Short Selling
Reverse above BUY conditions
I have tested LONG trades on SPY , QQQ and AAPL on 1 Hour and 30 mins timeframes. for AAPL on DAY timeframe it shows crazy results :-)
Note
For the use of educational purposes only.
Stepped trailing strategy exampleThis is a stepped trailing exit example for educational purpose .
Short brief.
There are 1 stop loss and 3 profit levels.
When first tp is reached we move stop loss to break-even.
When second tp is reached we move stop loss to first tp.
When third tp is reached we exit by profit.
Logistic RSI, STOCH, ROC, AO, ... by DGTExperimental attemt of applying Logistic Map Equation for some of widly used indicators.
With this study "Awesome Oscillator (AO)", "Rate of Change (ROC)", "Relative Strength Index (RSI)", "Stochastic (STOCH)" and a custom interpretation of Logistic Map Equation is presented
Calculations with Logistic Map Equation makes sense when the calculated results are iterated many times within the same equation.
Here is the Logistic Map Equation : Xn+1 = r * Xn * (1 - Xn)
Where, the value of r is the key for this equation which changes amazingly the behaviour of the Logistic Map.
The value we have asigned for r is less then 1 and greater than 0 ( 0 < r < 1) and in this case the iterations performed with the maximum number of output series allowed by Pine is quite enough for our purpose and thanks to arrays we can easiliy store them for further processing
What we have as output:
Each iteration result is then plotted (excluding plotting the first iteration), as circles or line based on user preference
Values above and below zero level (0) are coloured differently to emphasis bull and bear power
Finally Standard Deviation of Array's Elements is ploted as line. Users may choose to display this line only
So where it comes the indicators "Awesome Oscillator (AO)", "Rate of Change (ROC)", "Relative Strength Index (RSI)", "Stochastic (STOCH)".
Those are the indicators whose values are assigned to our key varaiable in the Logistic Map equation forulma which is r
Further details regarding Logistic Map can found under the description of “Logistic EMA w/ Signals by DGT” study
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Combo Strategy 123 Reversal & Gann Swing Oscillator 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
The Gann Swing Oscillator has been adapted from Robert Krausz's book,
"A W.D. Gann Treasure Discovered". The Gann Swing Oscillator helps
define market swings.
WARNING:
- For purpose educate only
- This script to change bars colors.
TEMA/DEMA/HMA StrategyThe TEMA/DEMA/HMA strategy is a basic trend follower looking for when the TEMA crosses above the DEMA as a buy signal and the opposite for the sell.
The HMA is used as a longer more Dynamic MA to confirm the wider trend to filter out bad trades.
This is a basic idea that can be expanded on using different indicator types to either add signals or filter out more bad signals!
