inwCoin SUPER HMA StrategyImproved version of inwCoin HMA Aggressive Strategy.
Filter out random trade from sideway period and wait for trend only.
Work very well on BTCUSD3M at OKEX with leverage 20x ( with the help of trailing start/stop bot, of course )
If you have OKex bot/ Or plan to write one. This strategy is the best bet.
If you want sourcecode, I can give you for 0.1 BTC :) Send BTC to address below and IM me for acknowledgement.
BTC : 3BmqVW8eqE3qAGdtCdYGFYKbMwEALAhSEp
Check some backtest result here : imgur.com
Backtest result for various trade% : imgur.com
Hull Hareketli Ortalaması (HMA)
Hull & Candle CrossoverA Hull moving average and candle crossover.
(2 hullMA's and present to past candle value calculation and smoothing function)
Enters order on Hull1 vs Hull2 crossover, Exits order on Price vs Candle crossover
Strategy looks at the previous(1) candle value to calculate current price so it lags 1 candle (to avoid repainting)
Any timeframe and pair ok, just change settings to suit
commission is included in the default result
inwCoin HMA StrategySuper duper strategy using HMA ( Hull Moving Average ) 10 and 50 for decided entry ( short / long )
There are 2 type of strategies, you can choose with checkbox.
(1) Aggressive Strategy Ticked
* If ticked, strategy will enter position again if the condition met. ( both line red ) after Taking Profit ( or Stop Loss )
* It will use trailing start/stop so the profit is kinda crazy ( and yes, impossible in real world lol )
* The problem is, it will enter position like crazy and you might get a lot of loss from fee
(2) Aggressive Strategy not Ticked
* It will enter once only ( HMA10 just changed color to the same as HMA50 )
* If TP or SL already, it will wait for next signal
* Less trade, less profit, but safer. ( wait for right signal )
** For Aggressive Strategy, you can't select the date from 1/1/2018 because the trade record is way too much .... lol
** You can experiment yourself with other exchange/coin as your like.
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Test Data Detail
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Exchange : OKEX
Coin : BTCUSD3M
Timeframe : 1H
Date range : 2018/2/9 - 2019/1
For : Trailing with bot ( If you have one :P )
Config
Trade % = 20 ( You can increase trade size of your total port but it will get you into more risky trade. ( but yes, more profit ) ... u can increase trade size if you have enough profit
Trailing Start = 20 ( If you can write bot, it will start trailing when the profit % reach this value )
Trailing Stop = 5 (If you can write bot, it will take profit if the profit drop below this value from trailing start.)
Take Profit = It will set fixed TP for whipsaw case ( rarely reach this target )
Stop % = 50 ( so this trade is RR = 2 nice! )
Leverage = 20 ( so we can withstand the price fluctuation and not get liquidated, if you trade spot, please choose 1 also, please adjust TP and stop accordingly eg. leverage 1 / TP = 20 / SL = 10 )
Trade Direction = Both ( for margin market, if you want to trade spot like Binance you can choose long only )
Hull 1 Length = 10 ( Fast HMA length)
Hull 2 Length = 50 ( Slow HMA length)
Hull trend test length = 2 ( hull test range for rising or down trend )
Aggressive Strategy = YES ( enter next position if condition met immediately )
Hull_TSI Strategy v3True Strength Index, but Exponential Moving Average taken out and replaced with Hull Moving Average
this version uses 3 Hull MA's as well as the TSI value crossovers above or below the upper/lower lines
This version is the closest to the API bot featured at gekkoplus.com
Hull_TSI bot is competing in the competition
" Gekko Plus is hosting a strategy contest. Submit the best performing Gekko strategy and win 0.1 BTC! "
15 Nov 2018: Strategy contest start
10 Dec 2018: Strategy contest end
12 Dec 2018: Contest evaluation, announcement of winners!
Hull_TSI Strategy v2True Strength Index, but Exponential Moving Average taken out and replaced with Hull Moving Average
this version uses only the crossover of the TSI values
HULL_FIB Strategy2 Hull Ma's
Long Hull MA FIB Lines
It will Sell when reaches upper 0.618 Fib and Hull(short_period)has crossed over to selling
it will close sell by TP or SL or when reaches lower 0.618 Fib
Buy is opposite that
here is how it makes the FIBS:
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mult = input(3.0, minval=0.001, maxval=50)
basis = func_hma(price, HMAlengthLong)
dev = mult * stdev(price, HMAlengthLong)
upper_1= basis + (0.236*dev)
upper_2= basis + (0.382*dev)
upper_3= basis + (0.5*dev)
upper_4= basis + (0.618*dev)
upper_5= basis + (0.764*dev)
upper_6= basis + (1*dev)
lower_1= basis - (0.236*dev)
lower_2= basis - (0.382*dev)
lower_3= basis - (0.5*dev)
lower_4= basis - (0.618*dev)
lower_5= basis - (0.764*dev)
lower_6= basis - (1*dev)
plot(basis, color=orange, linewidth=2)
p1 = plot(upper_1, color=gray, linewidth=1, title="0.236")
p2 = plot(upper_2, color=gray, linewidth=1, title="0.382")
p3 = plot(upper_3, color=gray, linewidth=1, title="0.5")
p4 = plot(upper_4, color=black, linewidth=2, title="0.618")
p5 = plot(upper_5, color=gray, linewidth=1, title="0.764")
p6 = plot(upper_6, color=red, linewidth=2, title="1")
p13 = plot(lower_1, color=gray, linewidth=1, title="0.236")
p14 = plot(lower_2, color=gray, linewidth=1, title="0.382")
p15 = plot(lower_3, color=gray, linewidth=1, title="0.5")
p16 = plot(lower_4, color=black, linewidth=2, title="0.618")
p17 = plot(lower_5, color=gray, linewidth=1, title="0.764")
p18 = plot(lower_6, color=green, linewidth=2, title="1")
=================================================
HMA + ATR CLOUD SYSTEMPlaying around with some ideas. Hull MA's have good entries and exits on their own, but together with ATR I find them to be even more solid. Only tested with crypto. Best results on daily timeframe and long only.
Stop loss, trailing and pyramiding code is functional. There is also a long only / short only option in the bottom of the settings.
Let me know what you think
Hull_TSI StrategyTrue Strength Index, but Exponential Moving Average taken out and replaced with Hull Moving Average
increase the values for increased timeframes i found good on 1hour chart 700,700,700 (instead of 420)
Hull Moving Average Cloud v2Hull Moving Average Cloud, is not the normal Hull crossover, instead opens orders at cross of price and alternative Hull MA configuration (stretches/shrinks with momentum)
Has history settings, Commission already included in result. Only looks into past, should be no repaint (im sure the trolls will correct me if im wrong, thankyou trolls i can always count on you)
Source code open, if you find improvement please share thankyou
Hull Moving Average x3 StrategyThree Hull Moving Average Crossovers , user can choose different history data periods, and timeframe ( indicator can look at timeframes other than just the current chart timeframe )
commission is already included in this result
Hull_Cloud3 Hull Ma's, cloud is made by the Mid and Long Hulls, entry and exit rules calculated with Short Hull (normal crossover) and edges of cloud
This has commission already accounted for, and has the backtesting time selection settings
so user can test any particular history data period
Hull_Long Hull_ShortHull Moving Average only, x2
Hull_Long = open orders
&
Hull_Short = close orders
profitable with commission of: 0.2% ( common taker/market order fee )
Hullinger Bands StrategyLike Bollinger Bands, but with Hull MA
seems to work on all pairs and timeframes
Hull Moving Average and Daily Candle CrossoverHull Moving Average. Alan Hull developed Hull Moving Average in 2005 in his quest to create a moving average that is "responsive to current price activity while maintaining curve smoothness". Hull claims that his moving average "almost eliminates lag altogether and manages to improve smoothing at the same time"
This strategy has Lag built in, the signal will appear 1 or 2 candles lagged, but it wont repaint the signal.... in theory!
Does this repaint? you tell me. thankyou
Change the settings every time you change timeframe or pair
Hull Moving Average Crossover StrategyHull Moving Average Crossover, the Strategy version, so people can easily test the profitability of it.
Use Indicator version for use with Alerts
PlutusX EMAHello PlutusX Family,
We recently released a trading strategy for BTC/USD. Please use this strategy for educational purposes only. PlutusX is not charging for using this software, however, is not responsible for any losses that you may incur.
INSTRUCTIONS:
The strategy is most accurate between the 1H - 4H timeframe,
Made specifically for BTC/USD, and
You can adjust commissions, slippage, and starting balance in the setting.
We have a new series on Medium & YouTube (@PlutusX) that is going over the most important parts of trading from beginner to professional. Be sure to like, subscribe, and clap!
--
Be sure to follow us:
Instagram: @PlutusX
ITwitter: @PlutusX
ITelegram: @PlutusX
YouTube: @PlutusX
PlutusX EMAHello PlutusX Family,
We recently released a trading strategy for BTC/USD. Please use this strategy for educational purposes only. PlutusX is not charging for using this software, however, is not responsible for any losses that you may incur.
INSTRUCTIONS:
The strategy is most accurate between the 1H - 4H timeframe,
Made specifically for BTC/USD, and
You can adjust commissions, slippage, and starting balance in the setting.
BTCbotLooks at more than just the BTC price, based off Hull MA
Attempt at reducing repaint by Averaging each candles Open-High-Low-Close and then using previous (not current) candle to calculate signal
Kozlod - 3MA strategy with SL/PT (7 MA types)Classic 3 MA strategy.
Long - Short MA crossover Medium MA and cross is above Long MA
Short - Short MA crossunder Medium MA and cross is below Long MA
You can choose one of these MA types in params:
Simple Moving Average ( SMA )
Exponential Moving Average ( EMA )
Weighted Moving Average ( WMA )
Hull Moving Average ( HMA )
Volume-weighted Moving Average ( VWMA )
Smoothed Moving Average ( SMMA )
Double Exponential Moving Average ( DEMA )
You can select SL/PT % levels.
Renko Strategy Overlay for moving averages back testingThis puts a Renko overlay on the main chart, and then plots moving average lines on the overlaid Renko Candles instead of the regular candles. This allows for accurate backtesting of Renko strategies.
