Strategy

Combo Strategy 123 Reversal & Confluence This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy This is modified version of Dale Legan's "Confluence" indicator written by Gary Fritz. ================================================================ Here is Gary`s commentary: Since the Confluence indicator returned several "states" (bull, bear, grey, and zero), he modified the return value a bit: -9 to -1 = Bearish -0.9 to 0.9 = "grey" (and zero) 1 to 9 = Bullish The "grey" range corresponds to the "grey" values plotted by Dale's indicator, but they're divided by 10. WARNING: - For purpose educate only - This script to change bars colors.

Indicator

Harmonic System Strategy Harmonic System Strategy Buy=crossover(X1,X2) Sell=crossunder(X3,X4)

Strategy

SuperTrend Backtester This is a backtesting script for the famous Super Trend. Features - Custom Date Range - Custom Targets and Risks Requested by Dlatrella

Strategy

Combo Strategy 123 Reversal & Comparative Relative Strength This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy Comparative Relative Strength Strategy for ES WARNING: - For purpose educate only - This script to change bars colors.

Indicator

Simple EMA Long Only Strategy Simple EMA long only strategy, using ATR on crossings to minimize fake signals.

Strategy

Scripting Tutorial 9 - TManyMA Strategy - Long Market Order Only This script is for a triple moving average strategy where the user can select from different types of moving averages, price sources, lookback periods and resolutions. Features: - 3 Moving Averages with variable MA types, periods, price sources, resolutions and the ability to disable each individually - Crossovers are plotted on the chart with detailed information regarding the crossover (Ex: 50 SMA crossed over 200 SMA ) - Forecasting available for all three MAs. MA values are forecasted 5 values out and plotted as if a continuation to the MA. - Forecast bias also applies to all forecasting. Bias means we can forecast based on an anticipated bullish, bearish or neutral direction in the market. - To understand bias, please read the source code, or if you can't read the code just send me a message on here or Twitter. Twitter should be linked to my profile. - Ribbons added and on by default. Optional setting to disable the ribbons. 5 ribbons between MA1 and MA2 and another 5 between MA2 and MA3. - Ribbons are alpha-color coded based on their relation to their default MAs. - Ribbons are only visible between MAs if the MAs being compared share the same Type, Resolution, and Source because there is no way to consolidate those three in a simple manner. - Ribbon values are calculated based on calculated MA Periods between the MAs. - Converted the existing study into a strategy - Strategy only enters long positions with a market order when MA crossovers occur - Strategy exits positions when crossunders occur - Trades 100% of the equity with one order/position by default - Ability to disable trading certain crosses with input checks This script is meant as an educational script with well-formatted styling, and references for specific functions. *** PLEASE NOTE - THIS STRATEGY IS MEANT FOR LEARNING PURPOSES. DEPENDING ON IT'S CONFIGURATION IT MAY OR MAY NOT BE USEFUL FOR ACTUAL TRADING. THE STRATEGY IS NOT FINANCIAL ADVICE ***

Strategy

Histogram Trends Strategy by Sedkur This gives to you buy-sell signal with MACD's histogram trends. Use "Fast and Slow length" and "Trend of Histogram Number" inputs to take less or more signal. "Trend of Histogram Number" : This means how many histogram bars the trend continues before trading.

Strategy

MACD Strategy by Sedkur This gives to you buy-sell signal with MACD histogram value. Use "Fast and Slow length" and "Buy or Sell Histogram Value" inputs to take less or more signal.

Strategy

Combo Strategy 123 Reversal & DMI & Moving Average This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy The related article is copyrighted material from Stocks & Commodities Aug 2009 Combining DMI And Moving Average Trading System WARNING: - For purpose educate only - This script to change bars colors.

Indicator

Pivot Reversal Strategy + RSI Pivot Reversal Strategy + RSI A modified version of the standard PRS with an RSI overbought/oversold filter Comment/uncomment "Study/Strategy" to easily switch to strategy() mode As long as it is used in the study() version, the indicator is compatible with the Risk Management Wrapper Separate Alerts for Buy & Sell signals Single Alert for both Buy & Sell signals - it can also be used by another indicator as a source

Indicator

REAL STRATEGY : Dow_Factor_MFI/RSI_DVOG_Strategy I'm actually one of those who think it's more important to extract clues from indicators than strategy, but I wanted to test the data about the probability and dow factor I've shared for a long time. Usually, Bitcoin is used as an eye stain for strategy success, since the graph has increased significantly from the beginning. To prevent this, I used a commission and in the last lines of document I shared Bitmex's Bitcoin and Ethereum 1W test results. I don't think there's a factor to repaint. ( Warn me if u see or observe ) I considered Bitcoin because I found working with liquid parities much more realistic. Ethereum and Bitmex have been featured as a spot and may soon find a place at the CME , so I've evaluated the Ethereum . But since the Ethereum Bitmex was also spot new, I deleted results that were less than 10 closed trades. Since the Dow Theory also looks at the harmony in the indices, just try it in the Cryptocurrency market. Use as indicator in other markets. Support with channels, trend lines with big periods and other supportive indicators. And my personal suggestion : Use this script and indicator TF : 4H and above. Specifications : Commission. ( % 0.125 ) Switchable Methods ( Relative Strength Index / Money Flow Index ) Alarms. (Buy / Sell ) Position closure when horizontal market rates weighs. Progressive gradual buy/sell alarms. Clean code layout that will not cause repaint. (Caution : source = close ) Switchable barcolor option (I / 0 ) *****Test results :***** drive.google.com Summary: It was a realistic test. It has achieved great success in some markets, but as I mentioned earlier, use it only to gain insight into the price movements of cryptos. Use as indicator in other markets. 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 Stay tuned ! Noldo.

Strategy

Kase Dev Stops Strategy The Kase Dev Stops system finds the optimal statistical balance between letting profits run, while cutting losses. Kase DevStop seeks an ideal stop level by accounting for volatility (risk), the variance in volatility (the change in volatility from bar to bar), and volatility skew (the propensity for volatility to occasionally spike incorrectly). Kase Dev Stops are set at points at which there is an increasing probability of reversal against the trend being statistically significant based on the log normal shape of the range curve. Setting stops will help you take as much risk as necessary to stay in a good position, but not more. WARNING: - For purpose educate only - This script to change bars colors.

Indicator

Simple signals example for Risk Management Wrapper Simple signals example for Risk Management Wrapper The unique part is that there is a single variable used for both Buy and Sell conditions. Technically, a variable can have an infinity of values, so why not use that in our favour. A value of -1 is used for the SELL alert condition , and a value of +1 is used for the BUY alert condition . The Risk Management Wrapper can read them and act accordingly. Any simple indicator on PulseWire that gives Sell or Buy signals in a single variable should work. More complex indicators that give multiple kinds of signals may not work due to PulseWire limitations.

Indicator

[BTX] Triple TRIX + MAs This indicator suggest a strategy, which is quite similar to multiple MA or multiple RSI strategies. This indicator can be used for all timeframes, all markets. This indicator can help detect the market trend and momentum. Default values are TRIX - 6, 12, and 24 periods and MA(8) for each TRIX line. You can choose what type of MA to be used (EMA or SMA). How to exploit this indicator? - When all of the lower TRIXs are ABOVE the higher one: TRIX(6) is above TRIX(12), and TRIX(12) is above TRIX(24), there is a BULLISH market. - When all of the lower TRIXs are BELOW the higher one: TRIX(6) is below TRIX(12), and TRIX(12) is below TRIX(24), there is a BEARISH market. - A crossover of the lower TRIX to the higher one indicates a BUY signal. - A crossunder of the lower TRIX to the higher one indicates a SELL signal. - TRIX crossover the Zero line can be considered as a STRONG bullish signal. - TRIX crossunder the Zero line can be considered as a STRONG bearish signal. - The MA of TRIX acts as a confirmation, it can be used as SELL signals. - High slopes of TRIX lines can point out the high momentum of the current trend. - Divergence patterns can be used with this indicator. - And many more tricks.

Indicator

by Batrachotoxin

Combo Strategy 123 Reversal & CMOfilt This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy This indicator plots a CMO which ignores price changes which are less than a threshold value. CMO was developed by Tushar Chande. A scientist, an inventor, and a respected trading system developer, Mr. Chande developed the CMO to capture what he calls "pure momentum". For more definitive information on the CMO and other indicators we recommend the book The New Technical Trader by Tushar Chande and Stanley Kroll. The CMO is closely related to, yet unique from, other momentum oriented indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely related to Welles Wilder`s RSI, yet it differs in several ways: - It uses data for both up days and down days in the numerator, thereby directly measuring momentum; - The calculations are applied on unsmoothed data. Therefore, short-term extreme movements in price are not hidden. Once calculated, smoothing can be applied to the CMO, if desired; - The scale is bounded between +100 and -100, thereby allowing you to clearly see changes in net momentum using the 0 level. The bounded scale also allows you to conveniently compare values across different securities. WARNING: - For purpose educate only - This script to change bars colors.

Indicator

Combo Strategy 123 Reversal & CMOav This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy This indicator plots average of three different length CMO's. This indicator was developed by Tushar Chande. A scientist, an inventor, and a respected trading system developer, Mr. Chande developed the CMO to capture what he calls "pure momentum". For more definitive information on the CMO and other indicators we recommend the book The New Technical Trader by Tushar Chande and Stanley Kroll. The CMO is closely related to, yet unique from, other momentum oriented indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely related to Welles Wilder?s RSI, yet it differs in several ways: - It uses data for both up days and down days in the numerator, thereby directly measuring momentum; - The calculations are applied on unsmoothed data. Therefore, short-term extreme movements in price are not hidden. Once calculated, smoothing can be applied to the CMO, if desired; - The scale is bounded between +100 and -100, thereby allowing you to clearly see changes in net momentum using the 0 level. The bounded scale also allows you to conveniently compare values across different securities. WARNING: - For purpose educate only - This script to change bars colors.

Indicator

Running Equity - A New Indicator For Optimal Markets Detection Introduction Winning trades and gaining profits in trading is not impossible, however having gross profits superior to gross losses is what make trading challenging, it is logical to think that it is better to open a position when the probability of winning the trade is high, such probability can’t be measured with accuracy but a lot of metrics have been proposed in order to help determining when to open positions, technical analysis support the fact that a trending market is the best market condition for opening a position, which is logical when using a trend following strategy, therefore a long-term positive auto-correlated market is optimal for trading, this is why this paper present a new method for detecting optimal markets conditions in order to open a position. The Indicator The proposed indicator is based on the assumption that positive returns using a trend following strategy are a strong indication of trend strength, the proposed indicator is built from the conditions of a simple SMA cross trend following strategy, which are to go long when price > SMA and to go short when price < SMA. Then the equity from those conditions is built, in order to provide a more flexible indicator, length control the period of the sum. When the indicator is positive it means that the market allow for potential returns, it can thus be considered being trending. Else a negative value of the indicator indicate a ranging market that won't allow for returns. Filtering Bad Trades The indicator can be used to filter bad trades entries, in this example a Bollinger band breakout strategy is used, without any changes the strategy return the following equity on EURUSD The proposed indicator is then applied with the following conditions : buy and sell only if Req > 0 With an indicator period = 100 we filtered unprofitable trades. Conclusion I presented a new indicator for the detection of optimal markets based on a running equity. I hope both indicators may find applications in technical analysis and help investors get pertinent outputs from them. it would mean a lot if you could read the original paper : figshare.com

Indicator

Combo Strategy 123 Reversal & CMOabs This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy This indicator plots the absolute value of CMO. CMO was developed by Tushar Chande. A scientist, an inventor, and a respected trading system developer, Mr. Chande developed the CMO to capture what he calls "pure momentum". For more definitive information on the CMO and other indicators we recommend the book The New Technical Trader by Tushar Chande and Stanley Kroll. The CMO is closely related to, yet unique from, other momentum oriented indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely related to Welles Wilder`s RSI, yet it differs in several ways: - It uses data for both up days and down days in the numerator, thereby directly measuring momentum; - The calculations are applied on unsmoothed data. Therefore, short-term extreme movements in price are not hidden. Once calculated, smoothing can be applied to the CMO, if desired; - The scale is bounded between +100 and -100, thereby allowing you to clearly see changes in net momentum using the 0 level. The bounded scale also allows you to conveniently compare values across different securities. WARNING: - For purpose educate only - This script to change bars colors.

Indicator

QuantCat Chande Swinger Strategy QuantCat Chande Swinger This strategy is designed to be used on the 1 minute with mainly bitcoin, and cryptocurrencies. But parameters can be adjusted to ANY pair. After some long research about chande momentum oscillator, I decided to create a strategy using normal distribution percentage levels to snipe entries. This in turn on the 1 minute can create a nice profit over a consecutive amount of days, the end goal is to get a stronger version of this strategy running on a bot and print some money. This strategy is tightly defined, and can be loosened up to make more trades too- giving a higher sample size and better sharpe ratio. The strategy checks to see if the Chande value is in an extreme percentile based on the last few hundred chande values- if it is it will open a position. No stoploss or take profit implemented into the swinger yet, but this will be the next addition to really minimise loss and amplify potential profits. Any liquid crypto pair on the low timesframes will net a good result with this strategy. We also have a free 15M and 1H strategy available too. You can join our discord server to get live alerts for the strategies as well as speak to our devs! Link in signature below!!!

Strategy

QuantCat Mom Finder Strategy (1H)QuantCat Momentum Finder Strategy This strategy is designed to be used on the 1 hour time frame, on all x/btc pairs. The beautiful thing is it plots the take profit, and stoploss for you for each entry- where I would say use the stoploss for sure and feel with water with how the price action is looking when in profit. In this strategy, I actually implemented my own trading style into building the strategy. Having to replicate my own trading strategy into an algorithm, I can't make it exactly perfect to how I would trade, but what I can do is try and program the parameters that give it the absolute best chance of making a big move with a small drawdown- which replicates part of my momentum trading style. Here I am using RSI, MACD, EMA and trend filtering values to find moments where there has been a momentum change to play the rest of the move. It only picks the best entries. There is always a 3-4 R/R move on average with with these trades, meaning 1 in 4 only need to hit to be a break even trader- where most of these strategies have about 35% hit rate. The stoploss is so crucial to minimise any damage from huge unexpected candles, the strategies can just be used for entries as well, you don't have to stick to the exact formula- of the long and short system, but this by itself is profitable. The system nets positive results on -ETH/BTC -LTC/BTC -XRP/BTC -ADA/BTC -NEO/BTC etc. We also have a free 15M strategy available too. You can join our discord server to get live alerts for the strategy as well as speak to our devs! Link in signature below!!!

Strategy

BTC strategy for margin trading Almost identical to the one I published before, but this one includes short orders as well. I didn't spend much time backtesting, so there may be a different set of parameters that gives better results. Please let me know if you find something!

Strategy

by CredibleHulk

GetTrend Strategy (modified & ported to PS4)This is a port to PS4 of an amazingly simple solution that may have good prospects as a standalone indicator, an add-on or an integral part of a trading system. Many thanks to its authors and contributors.

Strategy

Candlestick Patterns Strategy (revisited)This strategy is used as a benchmark to see how it compares with other strategies posted by me recently. In all, the below collection of candlestick patterns appears to be one of the best among the ones that can be found here, imho.

Strategy

In-depth global business and economic analysis Comprehensive trading education and market insights