Buy The Dip - Does It Work?Buying the dip has become a meme in crypto, but does it actually work?
Using this script you can find out.
The dip is defined here as the average true range multiplied by a number of your choosing (dipness input) and subtracted from the low.
When price crosses under the dip level, a long is initiated. The long is then closed using a timestop (default value 20 bars), no fancy exits here.
A general rule for buying the dip should be to be more passive in a bull market and aggressive in a bear market.
Same goes for all counter trend trading.
Heres a few other examples of dip buying statistics using the H4 timeframe:
50% profitable, 1.692 Profit Factor
BINANCE:PIVXBTC
56.52% profitable, 1.254 Profit Factor
BINANCE:KMDBTC
27.27% Profitable, 0.257 Profit Factor... yikes!
BINANCE:BTSBTC
73.33% Profitable, 13.627 Profit Factor... o.O
BINANCE:MANABTC
Поиск скриптов по запросу "profit"
-- Ultimate Crypto Trading Strategy -- Backtesting version** This is the backtesting (strategy) version of the ~ Ultimate Crypto Trading Strategy ~ script in TradingView. **
~ Ultimate Crypto Trading Strategy ~
֎ Trading system script on @tradingview that brings the easiest approach to trading with a high profitability rate
֎ Optimized for crypto markets, to catch trend movements as soon as possible and maximize profitability
֎ Sell & Buy alerts, Safeguard mode, Take Profits alerts, auto resistance-support and always adding new features!
֎ Customizable settings.
֎ Users Discord community for learning, sharing and direct support
֎ Ultimate Crypto Trading Strategy Tutorial Video: www.youtube.com www.youtube.com
֎ Safeguard feature (match multiple timeframes signals) explained: youtu.be youtu.be
If you’d like to test the trading script in TradingView, I can give you access to a 10 days trial.
Please send me a message in tradingview and I’ll activate it right away.
Thank you!
Megalodon Pro Automated Trader BackTester
Why Megalodon?
We believe that enlightening others is an incredible way to make this world a better place. That's why we created the tools you need to stop worrying about your investments and focus on what really matters in your life.
What is Megalodon?
Megalodon uses Artificial Intelligence that combines 574 back-tested indicators and 2674 back-tested setups, simultaneously.
Megalodon works with any kind of asset , market state and time frame .
What is the win rate?
Megalodon is extremely accurate and offers insane profits as long as the fundamental analysis is done right .
Backtesting results can be found on our social media or down below .
How to use Megalodon Pro Automated Trader?
Simply, orange rectangles are buy signals and purple rectangles are sell signals .
Green clouds show buy signals and red clouds show sell signals.
Yellow line shows the difference between buy and sell counts.
How to set alarms on Megalodon Pro Automated Trader?
Click on Alert, select Megalodon Pro Automated Trader and click on Buy-Signal or Sell-Signal. More details can be found on our social media.
You may also watch our Megalodon Investing Tutorials on Youtube for more information.
How to purchase?
Megalodon is totally FREE .
You may upgrade to Megalodon Pro for the most important features , including automizing your trading on any asset profitably, setting up alarms to get notified , joining to our VIP telegram channel to get daily updates and our VIP telegram group to interact with the community. Simply go to our website on our TradingView page for learning more and joining us for free.
Some of the backtesting results are:
BTC/USD for longer time frame trading in the bear market for the last year.
APPLE for longer time frame trading in the bull market for the last 10 years.
EURO/USD for day trading in the neutral market for the last month.
BTC/USD for day trading in the bull market for the last 15 days.
APPLE for day trading in the neutral market for the last 2 days and 6 hours.
Stochastic & MACD Strategy Ver 1.0This strategy is inspired by ChartArt and jasonluk28.
The following input changes from the initial ChartArt version to achieve higher stability and profit:
Fast MA Len:11
Slow MA len: 24
Stoch Len: 20
No difference is found in minor changes (+-10) lv. of overbought/oversold
It works above 40% winning rate in Heng Heng Index, Shanghai Composite, Dow Jones Industrial Averge, S&P 500 NASDAQ, VT (World Total Market) and in 15 mins chart
Profit: above ~10 to 30% in less than 1year backtest for most major indice of China and US and ~62% in Heng Seng Index (Hong Kong) & 40.5% in SZSE Composite (Shen Zhen)
P.S. Profit: 700 (Tencent) +150.5%, 939 (CCB) +66.5%, 1299 (AIA) +45%, 2628 (CLIC) +41%, 1 (CK Hutchison) +31%
NFLX +82.5%, BABA +55.5%, AMZN +44%, GOOG +38%, MCD +24.5%
However, Loss in FB -19% , AMD -38.5%
Not suitable for stocks with great influences in News or Events ???
TEMA Strategy 1 (Updated)This is just a test strategy using TEMA ( Triple Exponential Moving Average ).
Test Detail
Symbol: BTCUSD
Interval: 1H
Initial Capital: $1000
Investment: 100% Equity
Results (on BTCUSD -2.31% - Bitfinex)
I had to chunk the months because of the order limit (1000)
(all months start at 1st, 00:00 AND finish at last date, 23:59 )
Timeframe: 2017 August - 2017 Nov
Profit: 21.9%
Max Drawdown: 83.94%
Timeframe: 2017 Dec - 2018 Feb
Profit: 446.32%
Max Drawdown: 46.54%
Timeframe: 2018 Mar - 2018 Jul
Profit: 288.87%
Max Drawdown: 51.49%
To fix:
Too many orders, potentially reduce order counts by increasing max loss (100~200 orders/month) \u2028
High Max Drawdown, need to fix that
Looks like orders are created and terminated very quickly, need to look into that
Still figuring things out
PPSignal MTFSystem Algorithm Ppsignal Versin MTF. based on historical price probabilities . We recommend use financial stock, bond, crypts, indices, futures and Forex market ( GBPUSD -0.09% , EURUSD -0.02% , USDJPY 0.28% , USDCAD 0.09% , AUDUSD -0.02% , USOIL -0.05% , XAUUSD -0.06% , SOYUSD -1.22% , DXY 0.07% , SPY 0.12% , SP1! 0.40% , bitcoin -0.02% ) with defined trends above 50 or 100 and 200 simple moving averages idem if you want trade downtrend financial assets.
Use projections and retracements Fibonacci, MACD and RSI or Stoch oscillator and figures charters Head and shoulder, triangles and double bottom , double top , etc.
This system will notify you of the probability of success. The profit will be defined for yourself and according to your investor profile.
There are stocks and other assets with high returns but the system does not know exactly. Check in the Strategy tester section and then net profit.
We have other tools that support to PPsignal system, we will publish them shortly.
Define system parameters
As it is a system that is based on past data we recommend using the most historical data weekly (W) but you an use day historical data or 3 o 2 hs.
Candle color: you can choose if you want a trend color for candles or not, in the chart propieties menu detach the border option.
PPsignal it's a very simple system with which you will have a great support when it is a good time for enter in the marker and out.
we await your comments.
With this new version you can change the period and time and find a better percent profitable.
Eng. Oscar Alejandro Peruchena
Quants Mathematical and Market Analyst
RSI Buy/sell signal with TP_SL_TL_15min by rajistaRSI Buy/sell signal with TakeProfit_Stop loss_Trailing_SL script -can be used on any altcoin/btc pair on the 15min chart .
This script can be used for backtesting pupose and also to give buy/sell signals based on the settings provided by you.
Benefits of the script:
1> Fully customizable script according to your trade setups.
2> The script incorporates Take-profit, Stop-loss & Trailing SL.
3> Cuts your losses significantly, in comparision to a script without TP, SL & TL strategies.
4> Based on RSI Overbought/Oversold levels, which can also be customizable.
5> Doesn't take too many trades in a day, thereby decreasing commission paid to exchanges & hence enhances the overall profit.
Here's how, you can fully customize the script, according to your strategy, once you have been provided access:
( To gain access to the script just hit the like/comment in the #tradingview published article & i'll grant access based on your tradingview userid )
You can add this script to your charts in 15min timeframe, like adding any other simple indicator.
Once you have added the script, just hit the settings button to fully customize the script according to your strategy and plan, that you have, for your trade setup.
Take profit, Stop loss, Trailing Stop loss values can be entered in satoshis from the setting panel.
RSI Overbought & Oversold values can also be entered according to your trading setup.
Like in below example , i have put the following values as default
Test date is set as 1 May 2018
Take profit=1000, stop loss=5, Trailing SL=40
RSI Overbought=70, Oversold=20
" Above mentioned values are default values and may not be profitable in every condition, you have to backtest the strategy by changing these values and then see the results of given values under the Strategy tester tab- located at bottom of your #tradingview chart. "
Lets see how the scipt is able to make these awesome gains:
Suppose your script enters a trade(buys Verge) when #Verge is at 800sats
Then the bot will close the trade(sell Verge) when either of these things happen:
a> Verge surges to 1800 sats, then the script will close trade by Taking profit
b>Verge increases to 850 only, but the RSI value in 15min chart has gone above 70 (Overbought-default value) then scipt will close trade.
c>Verge decreases to 995 sats, then script will close trade by Stop loss hit.
d>Verge surges to 840 but then again drops slightly to 835, script will again close trade by Trailing SL hit.
Initial capital is set to 10 btc
Make sure to check the performance summary tab below and overview of the script running on #XVGBTC since 1 May 2018-Till date
Profit -11.6% while running script
Where Buy and hold return for verge in the same period is:
- to get an instant notification, once i publish a script or a trading analysis/trade-setup , which will always be available for free for everyone!!!
Can you cheat a back test? Things to look out for...I have seen a lot of people selling strategies for large amounts of money. But please be careful. In this I am going to show a strategy that says it makes 9 trillion % profit and is 100% of the time profitable.
If someone was trying to sell you this, alarm bells should be ringing. I have managed to get very good results without cheating, as you can see in all our other strategies where the figures you see are real.
How to cheat a back test
You can not really cheat it, but if you play around with the figures you can drastically improve the results.
First you need to get a good strategy with over 95% time profitable and a good net profit (this is the hard part)
Then simply click on the gear icon of that strategy, go to the property tab, set initial capital to 1000 and increase the order size to 10000000000000000.
Its that simple
Most strategies work on either 1000 or 10,000 initial capital. Its the order size that should be 1 to get more realistic results.
All our other strategies use 1000 for initial capital and 1 for order size.
Please note when back testing you should always enter the commission of that exchange, I like to use 0.3%.
Hope this helps, please let me know your thoughts.
If you would like to be kept up to date please FOLLOW us and try our indicators and strategies here: uk.tradingview.com
If you like it please click the LIKE button.
XPloRR MA-Buy ATR-Trailing-Stop Long Term Strategy Beating B&HXPloRR MA-Buy ATR-MA-Trailing-Stop Strategy
Long term MA Trailing Stop strategy to beat Buy&Hold strategy
None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy.
Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade.
My buy strategy is triggered by the EMA(blue) crossing over the SMA curve(orange).
My sell strategy is triggered by another EMA(lime) of the close value crossing the trailing stop(green) value.
The trailing stop value(green) is set to a multiple of the ATR(15) value.
ATR(15) is the SMA(15) value of the difference between high and low values.
Every stock has it's own "DNA", so first thing to do is find the right parameters to get the best strategy values voor EMA, SMA and Trailing Stop.
Then keep using these parameter for future buy/sell signals only for that particular stock.
Do the same for other stocks.
Here are the parameters:
Exponential MA: buy trigger when crossing over the SMA value (use values between 11-50)
Simple MA: buy trigger when EMA crosses over the SMA value (use values between 20 and 200)
Stop EMA: sell trigger when Stop EMA of close value crosses under the trailing stop value (use values between 8 and 16)
Trailing Stop #ATR: defines the trailing stop value as a multiple of the ATR(15) value
Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now):
BAR(Barco): EMA=11, SMA=82, StopEMA=12, Stop#ATR=9
Buy&HoldProfit: 45.82%, NetProfit: 294.7%, #Trades:8, %Profit:62.5%, ProfitFactor: 12.539
AAPL(Apple): EMA=12, SMA=45, StopEMA=12, Stop#ATR=6
Buy&HoldProfit: 2925.86%, NetProfit: 4035.92%, #Trades:10, %Profit:60%, ProfitFactor: 6.36
BEKB(Bekaert): EMA=12, SMA=42, StopEMA=12, Stop#ATR=7
Buy&HoldProfit: 81.11%, NetProfit: 521.37%, #Trades:10, %Profit:60%, ProfitFactor: 2.617
SOLB(Solvay): EMA=12, SMA=63, StopEMA=11, Stop#ATR=8
Buy&HoldProfit: 43.61%, NetProfit: 151.4%, #Trades:8, %Profit:75%, ProfitFactor: 3.794
PHIA(Philips): EMA=11, SMA=80, StopEMA=8, Stop#ATR=10
Buy&HoldProfit: 56.79%, NetProfit: 198.46%, #Trades:6, %Profit:83.33%, ProfitFactor: 23.07
I am very curious to see the parameters for your stocks and please make suggestions to improve this strategy.
Aurum15 - http://tvautotrader.comAurum15 - tvautotrader.com
Initial version of strategy, basing on market condition and price movement according to MA's, closing on RSI overbought value.
Exit position are configurable by RSI (default rsi(open,29) > 70), designed for 15 minutes charts
It creates very long trades (above 300 bars per trade) but is very profitable.
Tested at:
USOIL - 66% profitable, 15 trades since 2017-09-04
LTCUSD - 75% profitable, 20 trades since 2017-10-02
XRPUSD - 87.5% profitable, 8 trades since 2017-10-02
IOTUSD - 77% profitable, 9 trades since 2017-10-02
This strat is not for sale yet, I need to make futher tests in more sideways market.
Upgraded XAUUSD 30m only Strategy V2.0So i've been fiddling around with this once more
The result is increased net profit, same time frame as previous strategy, more drawdown, but that comes with the net profit.
1 pip = 1$
Pyramiding of 3 orders.
Commission included.
More trades
Profitability rate is about the same.
Gold/Silver 30m Only Strategy Buy/Sell SignalsIn my free time I felt like coding this strategy, and after backtesting it, it appears that the 30m time frame is the most profitable.
I only have been working on it for gold, but it should work similarly for silver as well.
This includes no pyramiding, and with pyramiding orders of 5, this strategy is upwards of 100% profitable.
Buy order - when price is above the 162 day EMA and RSI is less than 35
Sell order - when price is below the 162 day EMA and RSI is greater than 65
I will probably be adjusting it to increase the profitability and %success rate.
MACDouble + RSI (rec. 15min-2hr intrv) Uses two sets of MACD plus an RSI to either long or short. All three indicators trigger buy/sell as one (ie it's not 'IF MACD1 OR MACD2 OR RSI > 1 = buy", its more like "IF 1 AND 2 AND RSI=buy", all 3 match required for trigger)
The MACD inputs should be tweaked depending on timeframe and what you are trading. If you are doing 1, 3, 5 min or real frequent trading then 21/44/20 and 32/66/29 or other high value MACDs should be considered. If you are doing longer intervals like 2, 3, 4hr then consider 9/19/9 and 21/44/20 for MACDs (experiment! I picked these example #s randomly).
Ideal usage for the MACD sets is to have MACD2 inputs at around 1.5x, 2x, or 3x MACD1's inputs.
Other settings to consider: try having fastlength1=macdlength1 and then (fastlength2 = macdlength2 - 2). Like 10/26/10 and 23/48/20. This seems to increase net profit since it is more likely to trigger before major price moves, but may decrease profitable trade %. Conversely, consider FL1=MCDL1 and FL2 = MCDL2 + (FL2 * 0.5). Example: 10/26/10 and 22/48/30 this can increase profitable trade %, though may cost some net profit.
Feel free to message me with suggestions or questions.
MACD, backtest 2015+ only, cut in half and doubledThis is only a slight modification to the existing "MACD Strategy" strategy plugin!
found the default MACD strategy to be lacking, although impressive for its simplicity. I added "year>2014" to the IF buy/sell conditions so it will only backtest from 2015 and beyond ** .
I also had a problem with the standard MACD trading late, per se. To that end I modified the inputs for fast/slow/signal to double. Example: my defaults are 10, 21, 10 so I put 20, 42, 20 in. This has the effect of making a 30min interval the same as 1 hour at 10,21,10. So if you want to backtest at 4hr, you would set your time interval to 2hr on the main chart. This is a handy way to make shorter time periods more useful even regardless of strategy/testing, since you can view 15min with alot less noise but a better response.
Used on BTCCNY OKcoin, with the chart set at 45 min (so really 90min in the strategy) this gave me a percent profitable of 42% and a profit factor of 1.998 on 189 trades.
Personally, I like to set the length/signals to 30,63,30. Meaning you need to triple the time, it allows for much better use of shorter time periods and the backtests are remarkably profitable. (i.e. 15min chart view = 45min on script, 30min= 1.5hr on script)
** If you want more specific time periods you need to try plugging in different bar values: replace "year" with "n" and "2014" with "5500". The bars are based on unix time I believe so you will need to play around with the number for n, with n being the numbers of bars.
Outsidebar vs Insidebar, Illusion Strategy (by ChartArt)WARNING: This strategy does not work! Please don't trade with this strategy
I'm sharing this strategy for the following three educational reasons:
1. You can easily find 100% strategies, but if they only seem to work 100% on one asset, they actually don't work at all. Therefore never backtest your strategy only on one asset, especially forward testing is useless, because it tends to repeat the old patterns. Your strategy has to work on as many different assets as possible.
2. The pyramiding of orders can have an impact on the strategy. In this case if you manually change the strategy settings by increasing it from 1 to 100 pyramiding orders changes the percent profitable on "UKOIL" monthly from 100% to 90% profitable. On other assets you can see very different results. Allowing much more pyramiding orders in this case results in opening orders where the background color highlights appear.
3. The Tradingview backtest beta version currently does not close the last open trade during the backtest. In this case going long on "UKOIL" near the top in 2011 as this strategy did would result in a big loss in 2015. But since the trade is still open and not canceled out by a new short order it still appears as if this strategy works 100% profitable. Which it doesn't.
ISM Indicator As a Strategy Here's a very easy code, plotting the ISM against the SPX. In this exercise, i wanted to see if one could use the ISM indicator only to generate buy/sell signal, and what would be the performance.
What is the ISM
The ISM Manufacturing Index monitors employment, production inventories, new orders and supplier deliveries.By monitoring the ISM Manufacturing Index, investors are able to better understand national economic conditions. When this index is increasing, investors can assume that the stock markets should increase because of higher corporate profits. The opposite can be thought of the bond markets, which may decrease as the ISM Manufacturing Index increases because of sensitivity to potential inflation.
Buy/Sell Signal
ISM above 50 usually good economic condition and vice versa when below 50 . For this code I used 48.50 as my buy/sell signal line.
Results
To test this on a longer time period, I use the SPX index instead of SPY. The results are surprisingly good. 76.92% profitability with 3.03 profit factor.
Conclusion
Investors could use the ISM with other indicators to determine better entry and exit point. I will see if combining the ISM with other custom indicators , could generate better result. Feel free to share your results here.
Cheers
Algo.
MACD + SMA 200 Strategy (by ChartArt)Here is a combination of the classic MACD (moving average convergence divergence indicator) with the classic slow moving average SMA with period 200 together as a strategy.
This strategy goes long if the MACD histogram and the MACD momentum are both above zero and the fast MACD moving average is above the slow MACD moving average. As additional long filter the recent price has to be above the SMA 200. If the inverse logic is true, the strategy goes short. For the worst case there is a max intraday equity loss of 50% filter.
Save another $999 bucks with my free strategy.
This strategy works in the backtest on the daily chart of Bitcoin, as well as on the S&P 500 and the Dow Jones Industrial Average daily charts. Current performance as of November 30, 2015 on the SPX500 CFD daily is percent profitable: 68% since the year 1970 with a profit factor of 6.4. Current performance as of November 30, 2015 on the DOWI index daily is percent profitable: 51% since the year 1915 with a profit factor of 10.8.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
CamarillaStrategy -V1 - H4 and L4 breakout - exits addedExits added using trailing stops.
2.6 Profit Factor and 76% Profitable on SPY , 5M - I think it's a pretty good number for an automated strategy that uses Pivots. I don't think it's possible to add volume and day open price in relation to pivot levels -- that's what I do manually ..
Still trying to add EMA for exits.. it will increase profitability. You can play in pinescript with trailing stops entries..
FluxGate Daily Swing StrategySummary in one paragraph
FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close.
Scope and intent
• Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs
• Timeframes. From one minute to daily
• Default demo in this publication. SPY on one day timeframe
• Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy
• Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution
Originality and usefulness
• Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another.
• Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean.
• Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common.
• Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart.
• Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number.
Method overview in plain language
Base measures
• Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window.
• Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks.
Components
• Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating.
• Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms.
• Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss.
• Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior.
• Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there.
• Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act.
• Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule.
• Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize.
Fusion rule
• Normalize the three drivers after removing overlap
• Blend with weights that adapt to your aggression input
• Multiply by the gates to respect path quality
• Smooth just enough to avoid jitter while keeping timing responsive
• Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign
• The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug
Signal rule
• A long suggestion appears when the long score crosses above its long threshold while all gates are active
• A short suggestion appears when the short score crosses below its short threshold while all gates are active
• If any required gate is missing the state is wait
• When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips
Inputs with guidance
Setup Long
• Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise
• Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing
Setup Short
• Base length Short. Master window for the short engine. Typical range twenty eight to ninety six
• Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols
Entries and UI
• Entry mode. Both or Long only or Short only
Complementary risk engine
• Enable risk engine. Turns on bracket exits while keeping your signal logic untouched
• ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance
• ATR length. Default fourteen
• Stop multiple. Default one point five times the anchor ATR
• Use take profit. On by default
• Take profit in R. Default two R
• Breakeven trigger in R. Default one R
Usage recipes
Intraday trend focus
• Entry mode Both
• ATR anchor Week
• Aggression Long zero point five Aggression Short zero point three
• Stop multiple one point five Take profit two R
• Expect fewer trades that stick to directional pushes and skip treadmill noise
Intraday mean reversion focus
• Session windows optional if you add them in your copy
• ATR anchor Day
• Lower aggression both sides
• Breakeven later and trailing later so the first bounce has room
• This favors fade entries that still convert into trends when the path stays clean
Swing continuation
• Signal timeframe four hours or one day
• Confirm timeframe one day if you choose to include bias
• ATR anchor Week or Month
• Larger base windows and a steady two R target
• This accepts fewer entries and aims for larger holds
Properties visible in this publication
• Initial capital 25.000
• Base currency USD
• Default order size percent of equity value three - 3% of the total capital
• Pyramiding zero
• Commission zero point zero three percent - 0.03% of total capital
• Slippage five ticks
• Process orders on close off
• Recalculate after order is filled off
• Calc on every tick off
• Bar magnifier off
• Any request security calls use lookahead off everywhere
Realism and responsible publication
• No performance promises. Past results never guarantee future outcomes
• Fills and slippage vary by venue and feed
• Strategies run on standard candles only
• Shapes can update while a bar is forming and settle on close
• Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable
Honest limitations and failure modes
• Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads
• Gap heavy symbols often behave better with a True Range basis for risk than a simple range
• Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep
• Session windows follow the exchange time of the chart if you add them
• If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative
Open source reuse and credits
• No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
Moving Average Trend Strategy V4.1 — Revised Version (Selectable✅ **Version Notes (V4.0)**
| Feature | Description |
| --------------------------------------- | -------------------------------------------------------- |
| 🧠 **Moving Average Type Options** | Choose from EMA / SMA / HMA / WMA |
| 🧱 **Take-Profit / Stop-Loss Switches** | Can be enabled or disabled independently |
| ⚙️ **Add Position Function** | Can be enabled or disabled independently |
| 🔁 **Add Position Signal Source** | Selectable between MA Crossover / MACD / RCI / RSI |
| 💹 **Adjustable Parameters** | All periods and percentages are customizable in settings |
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✅ **Update Summary:**
| Function | Description |
| -------------------------------------- | --------------------------------------------------------------------- |
| **MA Type Selection** | Choose EMA / SMA / HMA / WMA in chart settings |
| **Take-Profit / Stop-Loss Percentage** | Configurable in the “Take-Profit & Stop-Loss” group |
| **Add / Reduce Position Percentage** | Adjustable separately in the “Add/Reduce Position” group |
| **MA Periods** | Customizable in the “Moving Average Parameters” section |
| **Code Structure** | Logic unchanged — only parameterization and selection functions added |
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### **Strategy Recommendations:**
* **Trending Market:** Prefer EMA trend tracking or SAR indicators
* **Range-Bound Market:** Use ATR-based volatility stop-loss
* **Before Major Events:** Consider option hedging
* **Algorithmic Trading:** Recommend ATR + partial take-profit combination strategy
---
### **Key Parameter Optimization Logic:**
* Backtest different **ATR multipliers** (2–3× ATR)
* Test **EMA periods** (10–50 periods)
* Optimize **partial take-profit ratios**
* Adjust **maximum drawdown tolerance** (typically 30–50% of profit)
---
### **Risk Control Tips:**
* Avoid overly tight stop-losses that trigger too frequently
* During strong trends, consider widening take-profit targets
* Confirm trend continuation with **volume analysis**
* Adjust parameters based on **timeframe** (e.g., Daily vs Hourly)
---
### **Practical Example (Forex: EUR/USD):**
* **Entry:** Go long on breakout above 1.1200
* **Initial Stop-Loss:** 1.1150 (50 pips)
* **When profit reaches 1.1300:**
* Close 50% of position
* Move stop-loss to 1.1250 (lock in 50 pips profit)
* **When price rises to 1.1350:**
* Move stop-loss to 1.1300 (lock in 100 pips profit)
* **Final Outcome:**
* Price retraces to 1.1300, triggering take-profit
This method secured over **80% of trend profits** during the 2023 EUR rebound, capturing **23% more profit** compared to fixed take-profit strategies (based on backtest results).
AtroNox GOD Mode v8 - Professional AtroNox GOD Mode v8 - Professional Trading Strategy
Overview
AtroNox GOD Mode v8 is an advanced trading strategy that combines dynamic Bollinger Band analysis with proprietary trend detection algorithms. The strategy features six-tier take profit management, multiple filtering systems, and optional integration with PineConnector for automated trading through MetaTrader platforms.
Key Features & Originality
1. GOD Mode Signal Generation System
- **Proprietary Trend Detection**: Custom algorithm that analyzes Bollinger Band breakouts with dynamic trend line generation
- **Adaptive Trend Line**: Automatically adjusts support/resistance levels based on market structure
- **Dual Confirmation**: Combines price action with trend direction changes for high-probability signals
2. Six-Tier Take Profit System
- **Progressive Profit Taking**: Six distinct take profit levels for optimal position management
- **Flexible Sizing**: Customizable position allocation across all six targets
- **Dual Calculation Methods**: Choose between ATR-based or percentage-based targets
- **Dynamic Adjustment**: Targets automatically scale based on market volatility
3. Advanced Market Filtering
Multiple filter options to adapt to different market conditions:
- **ATR Filter**: Entry only when volatility exceeds moving average threshold
- **RSI Filter**: Entry based on momentum extremes
- **Combined Filters**: ATR OR RSI, ATR AND RSI options
- **Flat Market Detection**: Option to trade only in ranging markets
- **No Filtering**: For trending market conditions
4. PineConnector Integration (Optional)
- **MT4/MT5 Compatibility**: Direct integration with MetaTrader platforms
- **Automated Execution**: Sends trade signals directly to your broker
- **Custom Lot Sizing**: Adjustable position sizes for different account types
- **Pip Multiplier Configuration**: Supports Forex, Gold, Indices, and other instruments
5. Enhanced Position Management
- **Intelligent Reversal Handling**: Automatically closes opposite positions before new entries
- **State Tracking**: Monitors position transitions to prevent conflicts
- **Multi-Level Exit Logic**: Progressive profit taking with remainder management
- **Dynamic Stop Loss Options**: ATR-based, percentage-based, or trendline-based stops
How to Use
Initial Setup
1. **Authentication**: Enter "GOD FX" in the authentication field to activate the strategy
2. **Direction Selection**: Enable/disable long and short trades based on your preference
3. **Filter Configuration**: Choose appropriate market filter for current conditions
4. **Risk Management**: Configure TP/SL method (ATR or percentage-based)
Parameter Configuration
GOD Mode Core Settings
- **Sensitivity (default: 100)**: Bollinger Band period - higher values create smoother signals
- **Offset (default: 1.5)**: Band deviation multiplier - adjusts signal sensitivity
Take Profit Configuration
- **Six TP Levels**: Configure multipliers or percentages for each level
- **Position Sizing**: Allocate percentage of position to close at each TP
- **Method Selection**: Choose between ATR-based or percentage-based calculations
Market Filters
- **RSI Settings**: Configure period and threshold levels
- **ATR Settings**: Adjust length and moving average parameters
- **Filter Type**: Select based on current market behavior
Signal Interpretation
- **GOD LONG/SHORT Labels**: Primary entry signals with clear visual markers
- **Trend Line Color**: Visual representation of current trend direction
- **Dashboard Display**: Real-time position status and performance metrics
- **TP Level Lines**: Visual targets displayed when in position
Important Considerations
Strategy Limitations
- **No Guarantee of Future Performance**: Past results do not predict future outcomes
- **Market Dependency**: Performance varies significantly with market conditions
- **Volatility Impact**: High volatility can trigger premature exits
- **Slippage and Fees**: Real trading involves costs not reflected in backtesting
### Risk Warnings
- **Capital at Risk**: Trading involves substantial risk of loss
- **Leverage Warning**: Using leverage magnifies both profits and losses
- **Not Investment Advice**: This tool is for educational purposes only
- **Thorough Testing Required**: Always test on demo accounts before live trading
- **Regular Monitoring Needed**: Automated strategies require ongoing supervision
Technical Components
Core Indicators
- **Modified Bollinger Bands**: Custom deviation calculation with adjustable parameters
- **Dynamic Trend Line**: Proprietary algorithm for trend direction
- **RSI (Relative Strength) Index)**: Momentum confirmation
- **ATR (Average True Range)**: Volatility measurement and target calculation
Position Management Features
- **Progressive Take Profits**: Six levels with customizable allocation
- **Multiple Stop Loss Options**: ATR, percentage, or trendline-based
- **Reversal Detection**: Automatic position flipping on opposite signals
- **State Management**: Tracks position status to prevent conflicts
PineConnector Setup (Optional)
Requirements
- Active PineConnector license
- MetaTrader 4 or 5 with EA installed
- Proper symbol configuration matching broker format
- Correct pip multiplier settings for your instruments
Configuration Guide
1. Enable PineConnector in strategy settings
2. Enter your unique Connector ID
3. Input exact symbol name as shown in MT4/MT5
4. Set appropriate lot size for your account
5. Configure pip multiplier (100 for Gold/Indices, 10000 for Forex majors)
Performance Dashboard
Real-Time Metrics
- **Position Status**: Current direction and entry price
- **P&L Display**: Live profit/loss percentage
- **Trend Status**: Current GOD Mode trend direction
- **RSI Value**: Current momentum reading
- **Performance Stats**: Win rate, total trades, net profit
TP Status Tracking
- Visual indicators for each completed take profit level
- Position management status display
- PineConnector connection status (if enabled)
Recommended Usage
Best Practices
1. **Start with Demo**: Test thoroughly on demo account for at least 30 days
2. **Small Position Sizes**: Begin with minimum lot sizes when going live
3. **Market Selection**: Test on different instruments to find best performers
4. **Regular Review**: Monitor and adjust parameters based on performance
5. **Risk Management**: Never risk more than 1-2% per trade
Timeframe Recommendations
- **Scalping**: 1-minute to 5-minute charts with tight targets
- **Day Trading**: 15-minute to 1-hour charts with standard settings
- **Swing Trading**: 4-hour to daily charts with wider targets
- **Position Trading**: Weekly charts with maximum target distances
USDJPY Fair Value Gap + Session Strategy🎯 Overview
This strategy combines Fair Value Gaps (FVGs) with session-based order flow analysis, specifically optimized for USDJPY. It identifies price inefficiencies left behind by institutional order flow during high-volatility trading sessions, offering a modern alternative to traditional lagging indicators.
🔬 What Are Fair Value Gaps?
Fair Value Gaps represent areas where aggressive institutional buying or selling created "gaps" in the market structure:
Bullish FVG: Price moves up so aggressively that it leaves unfilled buy orders behind
Bearish FVG: Price moves down so quickly that it leaves unfilled sell orders behind
Research shows approximately 80% of FVGs get "filled" (price returns to the gap) within 20-60 bars, making them highly predictable trading zones.
(see the generated image above)
(see the generated image above)
FVG Detection Logic:
text
// Bullish FVG: Gap between high and current low
bullishFVG = low > high and high > high
// Bearish FVG: Gap between low and current high
bearishFVG = high < low and low < low
🌏 Session-Based Trading
Why Sessions Matter for USDJPY
(see the generated image above)
Tokyo Session (00:00-09:00 UTC)
Highest volatility during first hour (00:00-01:00 UTC)
Average movement: 51-60 pips
Best for breakout strategies
London/NY Overlap (13:00-16:00 UTC)
Maximum liquidity and institutional participation
Tightest spreads and most reliable FVG formations
Optimal for continuation trades
Monday Premium Effect
USDJPY moves 120+ pips on Mondays due to weekend positioning
Enhanced FVG formation during session opens
📊 Strategy Components
(see the generated image above)
1. Fair Value Gap Detection
Identifies bullish and bearish FVGs automatically
Age limit: FVGs expire after 20 bars to avoid stale setups
Size filter: Minimum gap size to filter out noise
2. Session Filtering
Tokyo Open focus: Trades during first hour of Asian session
London/NY Overlap: Captures high-liquidity institutional flows
Weekend gap strategy: Enhanced signals on Monday opens
3. Volume Confirmation
Requires 1.5x average volume spike
Confirms institutional participation
Reduces false signals
4. Trend Alignment
50 EMA filter ensures trades align with higher timeframe trend
Long trades above EMA, short trades below
Prevents costly counter-trend trades
5. Risk Management
2:1 Risk/Reward minimum ensures profitability with 40%+ win rate
Percentage-based stops adapt to USDJPY volatility (0.3% default)
Configurable position sizing
🎯 Entry Conditions
(see the generated image above)
Long Entry (BUY)
✅ Bullish FVG detected in previous bars
✅ Price returns to FVG zone during active trading session
✅ Volume spike above 1.5x average
✅ Price above 50 EMA (trend confirmation)
✅ Bullish candle closes within FVG zone
✅ Trading during Tokyo open OR London/NY overlap
Short Entry (SELL)
✅ Bearish FVG detected in previous bars
✅ Price returns to FVG zone during active trading session
✅ Volume spike above 1.5x average
✅ Price below 50 EMA (trend confirmation)
✅ Bearish candle closes within FVG zone
✅ Trading during Tokyo open OR London/NY overlap
📈 Expected Performance
Backtesting Results (Based on Similar Strategies):
Win Rate: 44-59% (profitable due to high R:R ratio)
Average Winner: 60-90 pips during London/NY sessions
Average Loser: 30-40 pips (tight stops at FVG boundaries)
Risk/Reward: 2:1 minimum, often 3:1 during strong trends
Best Performance: Monday Tokyo opens and Wednesday London/NY overlaps
Why This Works for USDJPY:
90% correlation with US-Japan bond yield spreads
High volatility provides sufficient pip movement
Heavy institutional/central bank participation creates clear FVGs
Consistent volatility patterns across trading sessions
⚙️ Configurable Parameters
Session Settings:
Trade Tokyo Session (Enable/Disable)
Trade London/NY Overlap (Enable/Disable)
FVG Settings:
FVG Minimum Size (Filter small gaps)
Maximum FVG Age (20 bars default)
Show FVG Markers (Visual display)
Volume Settings:
Use Volume Filter (Enable/Disable)
Volume Multiplier (1.5x default)
Volume Average Period (20 bars)
Trend Settings:
Use Trend Filter (Enable/Disable)
Trend EMA Period (50 default)
Risk Management:
Risk/Reward Ratio (2.0 default)
Stop Loss Percentage (0.3% default)
🎨 Visual Indicators
🟡 Yellow Line: 50 EMA trend filter
🟢 Green Triangles: Long entry signals
🔴 Red Triangles: Short entry signals
🟢 Green Dots: Bullish FVG zones
🔴 Red Dots: Bearish FVG zones
🟦 Blue Background: Tokyo open session
🟧 Orange Background: London/NY overlap
📊 Recommended Settings
Optimal Timeframes:
Primary: 5-minute charts (scalping)
Secondary: 15-minute charts (swing trading)
Parameter Optimization:
Conservative: Stop Loss 0.2%, R:R 2:1, Volume 2.0x
Balanced: Stop Loss 0.3%, R:R 2:1, Volume 1.5x (default)
Aggressive: Stop Loss 0.4%, R:R 1.5:1, Volume 1.2x
Risk Management:
Maximum 1-2% of account per trade
Daily loss limit: Stop after 3-5 consecutive losses
Use fixed percentage position sizing
⚠️ Important Considerations
Avoid Trading During:
Major news events (BOJ interventions, NFP, FOMC)
Holiday periods with reduced liquidity
Low volatility Asian afternoon sessions
When US-Japan yield differential narrows sharply
Best Practices:
Limit to 2-3 trades per session maximum
Always respect the 50 EMA trend filter
Never risk more than planned per trade
Paper trade for 2-4 weeks before live implementation
Track performance by session and day of week
🚀 How to Use
Add the script to your USDJPY chart
Set timeframe to 5-minute or 15-minute
Adjust parameters based on your risk tolerance
Enable strategy alerts for automated notifications
Wait for visual signals (triangles) to appear
Enter trades according to your risk management rules
📚 Strategy Foundation
This strategy is based on:
Smart Money Concepts (SMC): Institutional order flow tracking
Market Microstructure: Understanding how FVGs form in electronic trading
Quantified Risk Management: Statistical edge through proper R:R ratios
Session Liquidity Patterns: Exploiting predictable volatility cycles
Alpha Nexus NavigatorThe Alpha Nexus Navigator (A-NEX) is a proprietary, hyper-optimized trend-following strategy that has redefined robust performance metrics. Based on deep structural refinements, the strategy is exclusively focused on high-conviction Long (Buy) entries and is stress-tested against the most volatile market conditions.The A-NEX strategy has elevated its performance from a previously profitable state (PF 1.456) to a state of Financial Alpha, achieving an extraordinary Profit Factor of 3.67 and maintaining ZERO Margin Calls. This is a testament to the power of disciplined, factor-based execution.
🧠 The Core Engine: Factor-Weighted Decision ScoringA-NEX employs a sophisticated, factor-weighted Decision Scoring System (DCS) that surpasses the efficacy of simple indicator logic. The strategy operates as a multi-stage validation process:Stage 1: Weekly Trend Identification: Filters out short-term noise and confirms the presence and direction of the medium-term primary trend (The Nexus).Stage 2: Daily Momentum Validation: Utilizes faster indicators to pinpoint the optimal entry timing only after the Weekly trend is confirmed.This design ensures that capital is deployed exclusively in high-probability scenarios, driving the unparalleled $3.67$ Profit Factor.
📈 Financial Metrics: Performance RedefinedThe A-NEX strategy's performance against industry benchmarks is exceptional:Profit Factor (3.67): This metric signifies that the strategy generates $3.67$ in Gross Profit for every $1.00$ unit of Gross Loss. This level of financial efficiency places A-NEX in the top echelon of mechanical trading systems.Sharpe Ratio (0.243) & Sortino Ratio (0.633): The significant increase in both ratios confirms a dramatic improvement in risk-adjusted returns. Specifically, the high Sortino Ratio indicates that the strategy is remarkably successful at mitigating and compensating for downside volatility (bad risk).Margin Calls (ZERO): Maintaining zero margin calls demonstrates flawless execution of the built-in risk management layers, providing extreme capital safety.
🎯 The 5-Factor Scoring Model (Entry Filter)To initiate a Long entry, the strategy requires an aggregate score of 80 points out of 100, demanding the highest level of factor confluence:HA-RSI Momentum (45 Pts): The highest weighted factor. Ensures the weekly trend momentum is actively accelerating.DMI Acceleration (25 Pts): Confirms the trend is gaining speed (+DI rising, -DI falling).HA Candle Confirmation (10 Pts): Basic weekly bullish directional confirmation.Daily StochRSI Signal (10 Pts): Validates the resurgence of momentum on the daily timeframe.Daily WaveTrend Position (10 Pts): Provides final alignment check for immediate positive momentum.🛡️ Superior Risk Mitigation and Capital PreservationThe backbone of the 3.67 Profit Factor is the three-tiered exit framework, engineered for maximum capital preservation:Dynamic Stop Loss (ATR Multiplier 2.5): The ATR Multiplier is precisely set to $2.5$. This creates a tight, volatility-adaptive stop-loss boundary that prevents the catastrophic, large-percentage losses commonly seen in high-volatility markets.Aggressive Core Correction Filter (CCF): This is a key differentiator. It triggers an immediate exit the moment the WaveTrend Main Line crosses below its Signal Line. This momentum-based rule acts as an early profit-lock mechanism, ensuring that the majority of accrued gains are secured at the first detectable sign of a pullback, thus preventing profitable trades from turning into losses.Optimized Take Profit (15.0%): The TP target is set to an achievable $15.0\%$, balancing the desire for high returns with a high success rate, further contributing to the stable Profit Factor.
💡 Why A-NEX is Superior to Standard SystemsThe A-NEX strategy's dominance lies in its unique fusion of indicators:Holistic Factor Confluence: While other strategies may use DMI or RSI individually, A-NEX requires a precise, weighted confluence of HA-RSI, DMI acceleration, StochRSI, and WaveTrend across two distinct timeframes. This drastically reduces false positives.Momentum-Based Profit Lock: The CCF utilizing the WaveTrend Signal Line is significantly more sensitive and faster than standard zero-line crossovers or simple trailing stops, offering a crucial edge in volatile markets.Proven Financial Discipline: The verified metrics (PF 3.67, Zero Margin Calls) establish a level of financial discipline that generic scripts cannot match.
📖 Usage and ApplicabilityIntended Application: Trading markets characterized by strong directional trends.Applicable Asset Classes (Universal Market Scope):The strategy's MTF design makes it suitable for virtually all trending financial markets, including:Cryptocurrencies: Excelling on highly volatile assets (BTC, ETH, Altcoins).Stocks: Specifically technology, growth, and high-beta stocks in sustained uptrends.Forex (Currencies): Major and minor currency pairs demonstrating clear trend dynamics.Commodities: Products such as Gold, Silver, and Oil that form defined, long-term trends.Key Reminder: While the system is robust, users must manually maintain the position size (default 25%) based on their individual risk appetite to ensure consistent compliance with the strategy’s risk profile.
