Crypto Wave Rider Indicator - Bitcoin & Crypto SignalerAfter months of research and testing, I have developed the first public beta of my Crypto trading script.
Note the following:
1.) This algo works best with /USD pairings (e.g. ETH/USD). Doesn't work as well with /BTC pairings (e.g. ETH/BTC). I believe this is because USD is stable and allows for better data (rather than comparing two very volatile assets to each other).
2.) This algo works best on swing trading time frames (4 hour - 12 hour) but can also be used on lower time frames (although lower than 1 hr is not recommended). For reference, I've found the best time frames to be as follows: BTC - 6 hour, LTC - 4 hour, ETH - 12 hr
So far, the results have been far better than the other bots/indicators I've come across.
This indicator has been optimized for use on Bitcoin with 6 hour candles just because Bitcoin is the oldest crypto & has the most backtesting data available. And 6 hour time frame because I prefer swing trading over day trading.
Feel free to test on different time frames and coins to see what gets the best results.
Comments and feedback appreciated!!
************Note: Please do not ask me for the source code. It is protected for a reason....I won't be giving it out to anyone.*************
Komut dosyalarını "bot" için ara
CMYK XIAM◊ Introduction
This is project XIAM, a trading bot based on SMA and RMI
◊ Origin
Based on 'The Relative Momentum Index' by Roger Altman : February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother. The input has been changed to the change of a smoothed close multiplied by a smoothed volume .
In addition SMA is used to detect an up/downwards phase.
◊ Adjustments
CMYK color theme applied.
◊ Usage
Automatic trading strategy
◊ Future Prospects
Remove jitter.
Take Variance into account
Auto adjusting settings evaluated on previous placements.
Proper asset management.
EMAGAIN for Profit Trailer by BotIndicatorsThis is a highly adjustable indicator for the ProfitTrailer Crypto Currency Trading Bot.
You can use it to visualize the EMAGAIN buy strategy. Here is how it works:
Set the candle size by setting your TV candle time accordingly
Set the candles used for Slow and Fast EMA Lines in the settings of this Indicator
Also set the buy value you would like to use on your bot to visualize the buy zones. You can set it either positive or negative.
The indicator will then show the Fast EMA, Slow EMA as well as the the areas where the actual price exceeds the buy value you have set and would generate a buy signal for Profit Trailer. Please keep in mind that Profit Trailer may still use trailing buy and trailing profit to optimize your buy/sell situation, this can obviously not be shown through this indicator.
Note: This is a first public release, future modifications may follow and are then shown on this site as updates. Always read this page to the end.
SMASPREAD for Profit Trailer by BotIndicatorsThis is a highly adjustable indicator for the ProfitTrailer Crypto Currency Trading Bot.
You can use it to visualize the SMASPREAD buy strategy. Here is how it works:
Set the candle size by setting your TV candle time accordingly
Set the candles used for Slow and Fast SMA Lines in the settings of this Indicator
Also set the buy value you would like to use on your bot to visualize the buy zones. You can set it either positive or negative.
The indicator will then show the Fast SMA, Slow SMA as well as the the areas where the actual price exceeds the buy value you have set and would generate a buy signal for Profit Trailer. Please keep in mind that Profit Trailer may still use trailing buy and trailing profit to optimize your buy/sell situation, this can obviously not be shown through this indicator.
Note: This is a first public release, future modifications may follow and are then shown on this site as updates. Always read this page to the end.
EMASPREAD for Profit Trailer by BotIndicatorsThis is a highly adjustable indicator for the ProfitTrailerCrypto Currency Trading Bot.
You can use it to visualize the EMASPREAD buy strategy. Here is how it works:
Set the candle size by setting your TV candle time accordingly
Set the candles used for Slow and Fast EMA Lines in the settings of this Indicator
Also set the buy value you would like to use on your bot to visualize the buy zones. You can set it either positive or negative.
The indicator will then show the Fast EMA, Slow EMA as well as the the areas where the actual price exceeds the buy value you have set and would generate a buy signal for Profit Trailer. Please keep in mind that Profit Trailer may still use trailing buy and trailing profit to optimize your buy/sell situation, this can obviously not be shown through this indicator.
Note: This is a first public release, future modifications may follow and are then shown on this site as updates. Always read this page to the end.
BB/StochRSI Strategy Backtest For Crypto BotThumbs Up for access
Buy is triggered when the price reaches chosen percent of lower Bollinger Band, Stoch RSI is oversold and there's a K/D signal crossover. The exit is when StochRSI is Overbought or K/D Crossover (toggle) AND/OR (toggle) price is greater than or equal to Top or Mid Bollinger Band (toggle).
Use 15m charts. It works excellent for consolidating/sideways markets and good for bullish impulsive moves but takes losses during impulsive downside market moves.
Results will be better in real-time. The script calculates the price based on the close, but a bot would calculate in real-time. Entries would be better. I recommend manually testing the strategy by using the "Date and Price Range" tool in TradingView.
I'll share the source code to those who wish to collaborate for improving profitability.
Grahn Gyllene Kors [Alerts]Grahn Gyllene Kors is the companion study for the Grahn Gyllene Kors strategy...
This is an EMA / Trend Explorer & Strategy useful for identifying trends before EMA's cross and also identifying and experimenting with various EMA lengths and candle trends. There is also a companion Alerts study for this in which trend signals may be sent to the user via sms or email AND/OR buy and sell alerts may be sent to bots for automated trading of this strategy. Once you have optimized your settings and backtested with this strategy, apply your same settings into the Alerts study and create your alerts.
NOTICE: This script does not require access from me, simply open Indicators on chart and search for "Grahn". By accessing this script you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
EMA Fast and EMA Slow - may be adjusted in length and color.
Bullish F>S % - controls what percentage the EMA Fast should be above EMA Slow before considered bullish and is represented by the Green band on the chart.
Neutral % - is what percentage surrounding the EMA Slow should be considered neutral and is represented by the Yellow band on the chart.
Bearish F<S % - controls what percentage the EMA Fast should be below EMA Slow before considered bearish and is represented by the Red band on the chart.
Enable Trend - determines whether Trend Strength is enforced in strategy in addition to EMA divergence.
Bull Candles # - is the number of candles ranging from 0 (off) to 5 that should be consecutively higher in value before considered to be a trend.
Neut Candles # - is the number of candles that should consecutively remain in the Neutral yellow band before considered to be trending neutral for signal alerts (has no impact on strategy).
Bear Candles # - is the number of candles ranging from 0 (off) to 5 that should be consecutively lower in value before considered to be a trend.
Pump Increase % - is the rise in price that should be considered a pump for signal alerts (has no impact on strategy).
Pump Candles # - is the number of candles over which Pump Increase % should be considered (has no impact on strategy).
Dump Decrease % - is the rise in price that should be considered a pump for signal alerts (has no impact on strategy).
Dump Candles # - is the number of candles over which Dump Decrease % should be considered (has no impact on strategy).
Show EMA Fast & Slow - their display may be turned on or off.
Enable Range - may be enabled for backtesting (in strategy) a specific range of time (disabled uses default range based on period).
BTC Long vs. Short http://cryptoanalyzer.info/botThis indicator uses Longs and Shorts count to predict market divergences. 77% profitable.
Margin calls speaks for itself. Get it for free with TradingView Auto-Trader BOT
It will do not repaints, use stable data from market. Trade signals are stable as in Blue Velvet and Purple Sea
BTC MTF Directional average (1h/2h res)1h or 2h resolution
Any market without multiple weekly binary data events and enough liquidity (eg. Bitcoin)
**For bitcoin use preferably on bitfinex or an index of all exchanges and exchange volume. Most of the price manipulation occurs at bitfinex, other exchanges will often be slightly behind.
V 0.0.1
** KNOWN ISSUES
Around the time of the new daily candle (2AM GMT+1 on BTC) false signals may occur due to 24 hours being the highest resolution.
Repainting: due to the nature of tradingview's pinescript these false signals will disappear after 2-3 new candles and refreshing the page.
** UPDATES
Added browser alerts (untested)
Tip: Don't always wait for the bot to flip to risk off when volatility kicks in (eg. during wash trades).
Moonbot - Cryptocurrency Trading StrategyThis is a greatly improved upon version of my cryptoTurtle. Enough has changed I didn't think it was appropriate to just update cryptoTurtle. I will possibly be selling this bot on bitcointalk in the future, stay tuned!
Setup:
Buy: Above green line and green up arrow.
Sell: Sell when above top red line or bottom red line. Also sell if arrow turns down and red.
Blue Velvet v1.2 http://cryptoanalyzer.info/botcryptoanalyzer.info
Long only version. No short signals
GunbotThis is based on the bot found here . It isn't as smart as gunbot due to limitations of pinescript, but I am posting up for anyone using gunbot as it might help with finding good pairs to trade and good settings for those pairs as you can use this to backtest. Also, I am only guessing at some things that his strategy does, based off the instructions and examples he gave in this thread.
simple botthe AI=
value of close of candle < value of close of candle previous by 1 = sell
close > close1 = buy
closeorder on SL
closeorder on AutoProfit
closeorder on signal reverse (if openorder not in profit)
Bot MasterSqueeze 1.1 (crypt)Countertrend strategy for correction to the average value. The strategy is designed primarily for crypto.
The principle of operation is that with a rapid price change, the strategy tends to take a reverse position to return to the average value, which statistically often happens. It is enough for you to determine the percentage of the offset about the average price and the size of the averaging position as a percentage of the deposit.
With the settings, you determine how to determine the average opening price. It can be MA at the price of opening, closing, etc., and DCMA. Soon I will add a few more options for determining the average opening price
You can also choose the average price at which the transaction will try to close.
Now there are 3 methods:
- closing when returning to the average price
- closing on the first correction candle
- opening on an abnormally large candle in the direction of correction and closing on the first one is opposite
Search for the settings by the selection method for each pair separately. It is better to trade using signals via a bot.
The strategy shows itself best on volatile coins paired with the dollar for 1 hour or more.
Soon I will add new options for opening and closing deals, as well as determining the average price.
ATTENTION: the strategy involves averaging, so be careful with levers and overestimating the percentage of the transaction from the deposit. It is best to allocate no more than 25 percent to the risk of the transaction.
Bot go_up strategyHello. This strategy is based on go_up alerts.
Our task is to find the local minimum. The trade is entered on the basis of RSI and SMA according to a specific formula, which is embedded in the code. When the RSI crosses the SMA upside down, a long position is entered. You can change the length of the RSI . The longer the length, the less frequent, but more accurate the entrance, and vice versa. You can use a different time frame.
The settings have:
1) RSI length, the lower the length, the more often the entry.
2) Testing results for any period of time
3) Take profit for any percentage
4) Stop order for any percentage
5) If there is a check mark ✅, then purchases will always be made, and if not, then purchases will be made, BUT, if the next payback is lower than the previous one, it does not matter by what percentage.
6) If there is a check mark ✅, then each trace of the purchase will be made provided that it is lower by the percentage specified, even if the conditions of the purchase are triggered.
7) The filled area is made for visual display of consolidation zones
Default settings:
RSI length 15, step 1.5, take profit 15, stop order 30.
Also in the settings there is a pyramid of the order, keep this in mind. Enter a deal for a small part of the deposit, and not for all the money at once! You can remove pyramiding and see the results with one entry.
For a more visual understanding, overlay the go_up script.
You can choose a strategy for yourself based on history! If you need examples of strategies, then write to me, my contacts are in the column: instructions from the author.
Successful trades, dear friends, I am glad that you trust me!
bot strategy1分足逆張りです.この前公開したのよりは遥かに高性能(なはず)です.strategy.exitでstop使ってます.少し詳しくは英文で.
This strategy is the counter trade strategy that I am actually trying to implement, and is realized by a simple combination of 3 indicators (maybe 2 ?. eg. sma ). There is no plan to release the strategy, but it is a script that I personally expect because I am hooked on how to stop the contrarian and the timing of entry. I don't use "security" ,but using strategy.enter(limit) and strategy.exit(stop). It seems that the performance is better than the publicly available "stoploss" because it is not a specific price (eg. 500) range but a variable according to the market price. Since all entry, close, and stop values are shown in the graph, it is possible to find the value back from that value. Good luck.
※Tested environment : FXBTCJPY , 1min
Bot Study v7 OverlayShowing the direction of price, based on candlestick patterns. Working similarly as PSAR or Supertrend.
BOT O/C-EMA-SAR-ADX-ICHIMOKUIt is a study based on Open Close, crossing of EMA's, ADX, PARABOLIC SAR, RSI and VOLUME. He also has alerts and does not repaint.
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.
LuxSignals | Trillionaire TierYou can see the Author's instructions below to get access to this indicator
Our automated trading bot is engineered for traders who demand transparency, realistic backtesting, and disciplined risk management. The system is designed not only to deliver signals but also to operate under strict trading conditions that mimic real-world markets. Every element of the strategy has been fine‐tuned so that its performance metrics—whether measured by win rate, total profit, or profit factor—this all is controlled by LuxSignals’ algorithm. This algorithm is exactly what makes it unique from all other indicators on the market: The algorithm looks at 100 possible numbers for an input and then decided on the best one - eventually you have to enter this number into the settings, leaving you with no need to adjust the settings yourself via trial and error.
Why you need to change inputs
LuxSignals is on tradingview.com, which uses the coding language "Pine Script" for its indicators. Unfortunately, Pine Script is very limited in its capabilities and can't run too many calculations at a time or can't make multiple backtests at once. Each backtest with different settings requires an indicator to load again.
An indicator will load when it's added to the chart or if its settings have changed.
This is why you have to change LuxSignals' inputs a few times so it can collect the necessary data from backtests over time to decide on its best settings. With Pine Script it's impossible to run so many backtests at once, it would require it to load longer than a minute at once, but the limit for TradingView's free tier is 20 seconds.
How LuxSignals' algorithm works
LuxSignals actually only has two inputs: Input 1 and Input 2. The minimum input for each is 2, the maximum LuxSignals can recommend is 200. You can also use higher numbers than 200 to see its backtesting results.
At the end of each process (changing the inputs many times), you will receive the best settings for the exact chart and timeframe you are on for the starting settings you had.
In total LuxSignals has to decide on one settings pair of Input 1 and Input 2 from 40'000 possible ones (200 x 200 possible combinations). It does that by calculating the hypothetical backtesting results (the profit factor) of 100 different settings at once.
You can control for which Input these hypothetical results are with the "optimize for" setting. So if you optimize for Input 1, LuxSignals calculates 100 hypothetical results for all possible inputs of Input 1, ranging from 2 to 100. When you use extension, it test the inputs from 100 to 200. The same goes for Input 2.
Now Input 1 and Input 2 affect each other's backtesting results, that's why you have to switch between optimizing for one to another.
Strategy and Signal Generation
At the core of the bot is a refined indicator that blends classic technical analysis tools with a proprietary twist. The process is as follows:
* Average Price Calculation:
The system starts by computing the average price (AP) using the formula for HLC3 (the average of the high, low, and close prices). This balanced approach captures a comprehensive view of market price action.
* Exponential Smoothing:
An exponential moving average (EMA) over a period (n₁) is applied to the AP to obtain a smoothed value (ESA). This step filters out short-term noise while maintaining sensitivity to market changes.
* Volatility Measurement:
The absolute difference between the AP and its smoothed counterpart is then subjected to another EMA (using the same period n₁) to generate a dynamic volatility metric (D). This measurement adapts to market fluctuations.
* Normalization:
The difference between the AP and ESA is normalized by dividing it by (0.015 × D). This creates a channel indicator (CI) that scales according to current volatility levels.
* WaveTrend Oscillator Formation:
A second EMA (over period n₂) is applied to the normalized value (CI) to produce the final oscillator value (WT1). The WaveTrend oscillator, therefore, encapsulates both trend strength and market volatility in a single metric.
* Signal Generation:
Trading signals are derived from the oscillator’s behavior:
* A buy signal is triggered when WT1 crosses above zero.
* A sell signal is triggered when WT1 crosses below zero.
This carefully layered approach ensures that the signals are both timely and reliable, which LuxSignals takes care of.
We decided to leave the strategy backtesting results out because we designed our own backtesting system, but we used the tradingview strategy capabilities when the trading bot is enabled in the settings.
When the bot is active, strategy mode automatically engages all realistic trading conditions. This includes using realistic account sizes, applying actual commission fees, and incorporating slippage—all calibrated to mirror live market conditions. This activation ensures that each trade is sized appropriately, with risk on any single trade limited to 5–10% of total equity, thereby preserving capital.
Please note that the following guidelines have not been fully met in our current testing process: our published backtesting results might not completely avoid potential misinterpretations by traders; we have not utilized an account size reflective of the average trader’s capital; realistic commission fees and slippage may have not been incorporated into our simulations.
In summary, while we did not apply a fully comprehensive simulation of every realistic trading condition for the backtesting, our design ensures that the strategy is equipped with realistic risk management and execution parameters when actively trading. This dual approach allows traders to benefit from both efficient signal validation and robust, live market performance without compromising on safety or accuracy.
Trading is risky & most day traders lose money. All content, tools, scripts, articles, & education provided by LuxSignals are purely for informational & educational purposes only. Past performance does not guarantee future results.
Conclusion
Our automated trading bot stands out due to its transparent and its commitment to realistic, robust strategy testing. it offers traders a dependable tool for navigating the markets. Whether you prioritize win rate, total profit, or profit factor, this system is built to adapt and perform under real-world conditions while preserving your capital.