The Extensive IndicatorThe extensive Indicator reads many kinds of signals and price movements.
Basically,
Long ==> Plus symbol (+) is green and at least 2 other symbols are green ### stop loss when plus symbol is red and any 2 other symbols are red.
Short ==> Plus symbol (+) is red and at least 2 other symbols are red ### stop loss when plus symbol is green and any 2 other symbols are green.
Bitcoinforecast
AOOAOO is just working with volume so it's perfect for cryptocurrency and refers if the people are buying or selling.
Long ==> background is green
short ==> background is red
AMAAMA is a mixed indicator that includes exponential moving average and support and resistance levels by each candle and gives you the best value to go long or short.
it reads the volume as well which you could see it on the background color.
once the price closed over the green line then you can make a long order (buy) and the stop loss if the price closed under the red line, and vice versa.
the black line is just to make it as additional support and resistance level
Long ==> price closed over black and green lines ### stop loss if price closed under the black and red lines
short ==> price closed under black and red lines ### stop loess if price closed over the black and green lines.
Background refers to the volume movements so if it's green means people are buying and if red means selling.
I attached EMA and special moving average indicator so you can make them as support and resistance levels once you see price is closing to one of them.
The Power of MovementThe Power of Movement is the indicator that reads the difference of many moving average values and gives a result that is compared with another indicator.
long ==> the green line is over the red one
Short ==> the red line is over the green one.
Bitcoin Logarithmic Growth CurvesThis plots logarithmic curves fitted to major Bitcoin bear market tops & bottoms. Top line is fitted to bull tops, bottom line is fitted to lower areas of the logarithmic price trend (which is not always the same as bear market bottoms). Middle line is the median of the top & bottom, and the faded solid lines are fibonacci levels in between.
Inspired by & based on a Medium post by Harold Christopher Burger, which shows how linear Bitcoin's long-term price growth is when plotted on a double-log chart (log scaling on the price AND time axis).
These curves will only make sense for tickers representing Bitcoin vs. USD (such as BITSTAMP:BTCUSD, BITMEX:XBTUSD, BLX index). Plotting on other assets will probably end up with lines that shoot off into space without any relationship to the underlying price action.
The upper, middle & lower curves can be projected into the future, which can be turned on or off in the indicator settings. The fibonacci levels can also be switched on/off. And the upper & lower curve intercepts & slopes can be tweaked.
I'm releasing this open-source, if you end up making something cool based off of this code, I don't need attribution but please hit me up on here or on twitter (same username) so I can check out what ya made. Thanks, hope y'all enjoy it.
BTC FRACTAL ANN S-R LEVELS (Fixed ANN MACD)
This script is an adaptation of my deep learning system for Bitcoin to fractals.
Fractal codes are not belong to me. Original :
The code for the Deep learning (ANN MACD BTC) work belongs to me. Original:
I didn't get license for this script because the fractal codes don't belong to me.You can use it for any purpose.
This command can be a very helpful guide.You can use that fractals with your indicators for Bitcoin.
You can also combine these levels with ANN - MACD - BTC script.
Scripts about Artificial Neural Networks (ANN) will continue soon !
I hope it will help us to gain insight into technical analysis.
Best regards. Noldo.
ANN MACD (BTC)
Logic is correct.
But I prefer to say experimental because the sample set is narrow. (300 columns)
Let's start:
6 inputs : Volume Change , Bollinger Low Band chg. , Bollinger Mid Band chg., Bollinger Up Band chg. , RSI change , MACD histogram change.
1 output : Future bar change (Historical)
Training timeframe : 15 mins (Analysis TF > 4 hours (My opinion))
Learning cycles : 337
Training error: 0.009999
Input columns: 6
Output columns: 1
Excluded columns: 0
Grid
Training example rows: 301
Validating example rows: 0
Querying example rows: 0
Excluded example rows: 0
Duplicated example rows: 0
Network
Input nodes connected: 6
Hidden layer 1 nodes: 8
Hidden layer 2 nodes: 0
Hidden layer 3 nodes: 0
Output nodes: 1
Learning rate : 0.6 Momentum : 0.8
More info :
EDIT : This code is open source under the MIT License. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com
Ori Unique Bitcoin Addresses UsedThis indicator shows number of unique Bitcoin addresses used . Have options to toggle line/trend view, log on/off and smoothing for line view.
Ori Bitcoin HashrateThis indicator shows Bitcoin Hashrate. Have options to toggle line/trend view, log on/off and smoothing for line view.
Ori Bitcoin Mining ProfitabilityThis indicator shows Mining Profitability USD/Day for 1 THash/s. Have options to toggle line/trend view, log on/off and smoothing for line view.
Ori Bitcoin Transaction FeesThis indicator shows natural logarithm of Bitcoin fees with Ori Trend. There is also a toggle for line view.
DepthHouse Trading System [Gods Envelope] Backtest StrategyCreated for Bitcoin!
*All testing has been done on the 1 Day time frame of BTC USD pairs.
Use at your own risk.
DepthHouse Trading System Basics
The Cloud:
The cloud is used in a very similar manner as the ichimoku cloud. A complete cross above or below the represents a macro trend change. The cloud then could be used as dynamic support and resistance zones.
By default there is no smoothing to the full cloud. If you wish to add smoothing, you can change the ‘Trend Base On’ option to ‘Modded Cloud Average’ to add price action and smoothing into the cloud’s calculations. The Modded Cloud can then be used in the same manner as the Full Cloud. Generally, the Full Cloud is more forgiving and has less Macro Trend changes. By default, this option is turned off. The support or resistance zone created will be shown on the info panel on the right.
Horizontal Levels:
A Horizonal zone is generated each time there is a micro level trend change. For example, as soon as a positive micro trend change occurs a green horizontal level will be plotted.
These levels then can be used as temporary support and resistance zones. The Horizontal Break Trading Strategy is entirely based on these levels. These levels are also shown on the info panel on the right.
The Envelope Itself: (by default this is off)
By selecting the Overbought and Oversold Ranges option, a cloud envelope will appear around the price action. This envelope represents the overbought and oversold ranges. If the price action should go into these zones, the info panel on the right will show ‘CAUTION’ beside the God Values as this signals that the pair is either overbought or oversold.
The God Values:
The God values are listed on the info panel on the right. These are the values created by the Godmode indicator. Generally, below 20 or above 80 it signals for caution as the price action has overextended itself.
The Back-Test Strategy Options:
⇅ - Child Fomo Positioning:
Child Fomo Positioning strategy is entirely based on the macro trend change with the center cloud. As soon as there is a complete candle close above or below the cloud and a trend change takes place. The back-test places a market order as soon as the next candle opens. By default, it then will not close this position until the price action fully crosses the cloud once again.
⇅ - Horizontal Break Trading:
Horizontal Break Trading Strategy is entirely based on the horizontal levels generated and the macro trend direction. For example, say the Macro Trend is up, and a green, positive horizontal level is formed. As soon as a complete candle closes above the upper level of the positive zone, a limit order is placed in hope that the price action comes back down and retests, filling the order. This long will not close then until a negative level is formed. As soon as a negative level is formed a stop/loss order is placed on the lower level of the horizontal support zone. It will then do the opposite in a bearish trend, and margin trading is turned on.
⇅ - Parent Positions :
Parent Positioning Strategy is based on the overall trend and the center cloud levels. This strategy has limit orders waiting on the level of the cloud that is closest to the price action. Therefore, using this strategy alone, the back-test system waits for the trend to be confirmed, and then follows the price action with limit orders waiting on the cloud to be retested. By default this order does not close until a Marco trend change occurs.
⇅ - Take 50% Partial Profits:
This options allows the back-test to take 50% profit or loss when one of the two options occur.
Horizontal Break: This would close 50% of the position in the same manner it would close a trade using the horizontal break trading system.
God Values: Once the price action enters the oversold or overbought clouds, it would then place a close order as soon as the price action exits the cloud.
⟲ - Backtest Year Start Date :
Start year of the back-testing. If set to ex. 2017, the back-test will not calculate any trades that took place before Jan. 1 of 2017.
⚖ - Margin Trading :
By default, margin trading is turned off. Simply switch this option to on the enable ‘Short Trading’ into the strategy back-test.
Notes: If you are back testing multiple strategies at the same time, you must increase the pyramiding to correspond to the number or strategies.
My Favorite Settings:
Margin = Off
Pyramiding = 2 [Settings → Properties → Pyramiding → 2 orders
Child Fomo Positioning = On
Horizontal Break Trading = On
Everything else off 😊
DISCLAIMER: Past performance does not guarantee future results.
Use at your own risk.
Bitcoin long term trendsThis script shows the long term trends in Bitcoin price.
It is based on my mathematical formula for the long term trends.
The blue line is a long term trend as a power function B = (t/693)^5.526
And the green line is a more sophisticated trend, which models the wave behavior over the whole history of bitcoin.
This script is only applicable to BTCUSD price. The trend lines are calculated as the functions of time only.
BITFINEX:BTCUSD
Megalodon Pro Automated Shorter Term Trader BacktesterSTRATEGY
When to buy: Green bar - Orange bar Closes
When to sell: Purple bar closes
Stop to trailing: No
Stop loss: No
Commission Rate: 1%
Willing to risk per trade: 10%
Maximum possible trades in one direction: 10
RESULTS
Net Profit without 1% commission: 112.64%
Net Profit with 1% commission: 103.92%
Starting Balance: $100,000
Profits Made: $103,918.38
New Balance with 1% commission: $203,918.38
Dates traded: 3/17/2019 and 8/3/2019
Total Close Trades: 80
Percent Profitable: 98.75%
Profit Factor: 152.158
Max Drawdown: 0.35% - $745.14
Buy & Hold Return: 174.66%
Commission Paid: $9621.46
Total Open Trades: 10
Number of Winning Trades: 79
Number of Losing Trades: 1
Avg Win Trade: 1.33%
Avg. Lose Trade: 0.92%
Largest Win Trade: 2.77%
Let me know what you guys think about the results?
Due to the tradingview's limitations on providing the shorter time frame price data, we had to provide a 60 minute time frame backtesting results.
The shorter time frames including 1 minute and 15 minutes backtesting results are way more accurate and precise than 60 minutes time frame results.
Megalodon Trading
Enlightening the Modern Investors
Bitcoin Price User Correlation [aamonkey]You can only use this for BTC.
Bitcoin over time tends to be priced at 7000 times the number of users (in terms of market cap).
Calculation:
Number of Wallets*7000/(Circulating Supply or 21,000,000)
Settings:
You can decide whether you want to use the Circulating Supply or 21,000,000 as a reference.
The default settings are using 21,000,000 because it seems to be more accurate.
You can easily switch between both versions by checking the box in the settings.
Interesting Findings:
Using circulating supply:
- Most of the time we are under the estimated ("PUC") line
- Once we break above the PUC line we are in the parabolic phase of the Bullrun
- In history, we broke only 4 times above the PUC
- Once we are above the PUC we see crazy growth (parabolic phase)
- We don't spend much time above the PUC
- From breaking the PUC to the new All-Time High of the cycle we took in order: 3 Days, 7 Days, 22 Days, 30 Days
- So the trend is increasing (We are taking more and more time until we see the ATH)
- Currently, we are about to break the PUC
- Then I expect the parabolic phase to begin
- I expect the run to last about 30 days
PBVIP's BTC Printing Machine (BTCmachine 3.0)No more Backpaint! Live Alerts!
Live or Candle Close Multiple Alerts:
-Long
-Close Long (weak short)
-Short
-Close Short (weak long)
-Allows pyramiding and scale-out
-Best Backtested indicator
-Extensively ForwardTested on @ScalpTech
-Outstanding accuracy, precision and sharpe ratio
Institutional level indicator. Scalable and self-fueling trend follower.
The BTCMachine is a trend predictor and following system that uses a cluster of several indicators to point out entries and exits.
On the 3.0 Version, you can finally automate it via alerts.
Primary use cases are on crypto margin trading (bitmex) but it has been tested successfully on spot trading pairs like binance, and even traditional stocks and forex.
Contact @pbvip on telegram to unblock it.
Crypto Mars Trading Buddy (CMTB) v1.0 First Version of Crypto Mars Trading Buddy v1.0
It is an indicator to denote the current trend and the changing trend.
Green Colored Bars denote an uptrend.
Red Bars denote a downtrend.
Crosses denote the changing trends.
Works best on higher time frames.
Also works on Altcoin Charts.
Trades should not be solely based on this indicator as it is not a signal bot.
You need to use your own logic and market understanding.
Trader should combine other indicators such as the MACD Histogram and RSI Divergences along with the CMTB.
Disclaimer- This indicator is purely for experimentation and fun. Not to be taken as financial advise.
Currently only available for Private Clients.
DM me on Trading View or Twitter if you need any info/ if you want to try it out for a few days.
Twitter - @thecryptomars
Cryptocurrency Adjusted MACD - CAMACDAdjust settings to your liking!
Support the development of new indicators:
BTC: 1LRHrA9wChPyZgCtWj3vBxv8FwHKWKmmmU
LTC: Lfw6FfeZhJofLJSackJ5uDam2BnDqh8Acp
ETH: 0xeE7abEc3303D5Ca4c05b876B2cE8E2406481365a
ZCASH: t1gSCHrcRN1GcCP2YWGh6xG9hSxSkxMoofF
Bitcoin Fibonacci Multipliers v2Update to first script that was with wrong Chart.
Based on "The Golden Ratio Multiplier" by Philip Swift @positivecrypto at medium.com
🔗Blockchain Fundamentals - Bitcoin Post Halving Price Model🔗Blockchain Fundamentals - Bitcoin SFR / Halving Price Prediction Model
Description
This price model is based upon the work of PlanB (@100trillionUSD) which can be seen here: medium.com
He states "We can also model bitcoin price directly with Stock to Flow. The formula of course has different parameters, but the result is the same, 95% R2 and a predicted bitcoin price of $55,000 with SF 50 after May 2020 halving."
He was using monthly data on a weekly timeframe. I converted to a daily timeframe, and add in future price prediction by projecting the average number of blocks mined. You can use this along with the Stock to Flow Ratio indicator here .
Post halving price prediction currently stands at ~$62k based on this model.
👍 Enjoying this indicator or find it useful? Please give me a like and follow! I post crypto analysis, price action strategies and free indicators regularly.
💬 Questions? Comments? Want to get access to an entire suite of proven trading indicators? Come visit us on telegram and chat, or just soak up some knowledge. We make timely posts about the market, news, and strategy everyday. Our community isn't open only to subscribers - everyone is welcome to join.
For Trialers & Chat: t.me
Alpha-Sutte ModelThe Alpha-Sutte model is an ongoing project run by Ansari Saleh Ahmar, a lecturer and researcher at Universitas Negeri Makassar in Indonesia, that attempts to make forecasts for time series like how Arima and Holt-Winters models do. Currently Ahmar and his team have conducted research and published papers comparing the efficacy of the Alpha-Sutte and other models, such as Arima and Holt-Winters, on topics ranging from forecasting Turkey's CPI data, Bitcoin prices, Apple's stock prices, primary energy supply of Indonesia, to infant mortality rates in China.
The Alpha-Sutte model in comparison to the other two models listed above shows promise in providing a more accurate forecast, and the project has been able to receive some of its funding from organizations such as the US Agency for International Development, which is a part of the US Federal Government, so maybe the project has some actual merit.
How it works:
In this model there are four values presented at the top of the window.
1) The first value in blue is the value of the Alpha-Sutte model whose purpose is to forecast the price of the current bar.
2) The second value in yellow is an adaptive version of the Alpha-Sutte model that I made. The purpose of the adaptive Alpha-Sutte model is to expand upon the Alpha-Sutte by allowing new information to be introduced, causing the value to change during the current period, hence the adaptiveness of it.
3) The third value in aqua is the moving average of the low% Sutte line which is a predictive line that is based off of the close and low of the current and previous periods.
4) The fourth value in red is the moving average of the high% Sutte line which is a predictive line that is based off of the close and high of the current and previous periods.
Trend signals:
If low% Sutte (aqua value/line) is greater than high% Sutte (red value/line) then this is a buy signal.
If high% Sutte (red value/line) is greater than low% Sutte (aqua value/line) then this is a sell signal.
Caveat:
Even though this model's purpose is to forecast the future, will it be able to predict periods of large movements? No, of course not, but it will adjust quickly to try to make more accurate forecasts for the next period. This was also a reason why I made an adaptive version of this model to try to reduce some of the discrepancies between the Alpha Sutte and price when there is a large unexpected move.
*WARNING before using this I would highly recommend that you look up "Sutte Indicator" online and read some of the papers about this model before you use this , even though this model has shown merit when compared to Arima and Holt-Winter models this is still an ongoing project.*
Hopefully this project will actually come to something in the near future as the calculation for this time series predictive model is much easier to calculate and program in pine editor than something like an Arima model.
*Also, if you know how to use R language there is a package for the "Alpha-Sutte model".*