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      "author": "cleo.one",
      "permlink": "crypto-trading-bots-with-no-programming-what-kind-of-strategy-rules-can-you-set",
      "title": "Crypto trading bots with no programming – what kind of strategy rules can you set?",
      "body": "## Testing trading strategies and deploying live crypto bots can be done in under 10 minutes <h2> \n\nThe beauty of the [CLEO.one](https://cleo.one/crypto/)  platform is its flexibility that provides infinite possibilities when creating your crypto trading strategies in minutes. We’ll provide some inspiration into what you can do.\n\nHow your trading ideas can be inserted into [CLEO.one](https://cleo.one/crypto/) – the basic syntax of a trading rule\nWhen you start typing you will get many options on how to finish the rule. Just because there are many options, it does not mean that the input is complicated. The basic syntax can be broken into 3 parts:\n\nWhen **[THE INDICATOR/TRADING PAIR]** is **[ABOVE/BELOW/CROSSING DOWN/CROSSING UP/DOWN BY/UP BY]** **[VALUE/INDICATOR/TRADING PAIR]**\n\nA few examples straight from the platform:\n![Crypto trading strategy - BTC price is below 7700.png](https://cdn.steemitimages.com/DQmdC2JvZS81U6UEWM65RnCnxV8sYNgdzpqfCKxhX7bEqoC/Crypto%20trading%20strategy%20-%20BTC%20price%20is%20below%207700.png)\nCrypto trading strategy - BTC price is below 7700\nSetting a rule that will be triggered when the price of a trading pair, in this case BTC/USDT is below/above a certain threshold\n\n\n![Crypto trading strategy - SMA is crossing up EMA.png](https://cdn.steemitimages.com/DQmNv4EKWPNsKLzeAjHEvxC8qzm15KYM8qag7Bpgco9xbUu/Crypto%20trading%20strategy%20-%20SMA%20is%20crossing%20up%20EMA.png)\nCrypto trading strategy - SMA is crossing up EMA\nAny Moving Average crossing up/down the same, or another Moving Average\n\n![Crypto trading strategy - MACD turns green or positive.png](https://cdn.steemitimages.com/DQmWJSCaGJiPqJtutkMayZ8MocVbrmTwqfThieXEvENG4ya/Crypto%20trading%20strategy%20-%20MACD%20turns%20green%20or%20positive.png)\nCrypto trading strategy - MACD turns green or positive\nMACD histogram turning green indicating a bullish reversal\n\n\n![Crypto trading strategy - ETHBTC is down by 2 percent in last day.png](https://cdn.steemitimages.com/DQmNP6Xp5kX42rnzzyiDQAT8mGTwt48g9j2HFWPr7WxCrTB/Crypto%20trading%20strategy%20-%20ETHBTC%20is%20down%20by%202%20percent%20in%20last%20day.png)\nCrypto trading strategy - ETHBTC is down by 2 percent in last day\nUse the price movement of any pair to trade the same or a different pair\n\n![Crypto trading strategy - RSI is above 80.png](https://cdn.steemitimages.com/DQmeoMk7Ubk1ZjqeNUgL5ziAdqu9y5XCmVM6AsjKthg5era/Crypto%20trading%20strategy%20-%20RSI%20is%20above%2080.png)\nCrypto trading strategy - RSI is above 80\nIdentify oversold/overbought levels with RSI or Stochastic\n\n## Candlestick patterns <h2> \n\nCandlesticks and patters work very similarly, with the syntax being **[CANDLE/CANDLESTICK PATTERN]** is **[BULLISH/BEARISH]** **[CHOSEN CANDLESTICK/PATTERN]**\n\nExamples:\n![Crypto trading strategy - Candlestick Pattern is bullish breakaway.png](https://cdn.steemitimages.com/DQmY6unCD9ZaSFM39X5PFXsBAY1Jgt5dLrbuwRzPkGfFASJ/Crypto%20trading%20strategy%20-%20Candlestick%20Pattern%20is%20bullish%20breakaway.png)\nCrypto trading strategy - Candlestick Pattern is bullish breakaway\nA bullish strategy that can pertain to any trading pair\n\n![Crypto trading strategy - Candlestick pattern is bearish engulfing.png](https://cdn.steemitimages.com/DQmPjt8ndMVo2327tnjWFtRBzwLQqiZpNEqpVrTX7sfiaUj/Crypto%20trading%20strategy%20-%20Candlestick%20pattern%20is%20bearish%20engulfing.png)\nCrypto trading strategy - Candlestick pattern is bearish engulfing\nA bearish strategy that can pertain to any trading pair\n\n## Crypto trading rubles to trading strategies - Putting it all together <h2>\nAnd finally, to demonstrate what a whole trading strategy/crypto bot would look like:\n\n![Shorting strategy for ETHUSDT waiting on a bearish engulfing and overbought RSI to happen at the same time.png](https://cdn.steemitimages.com/DQmUWPargiCCf69nLDUT8AmrK5yB1oE6JQPkXjF9h34CZ2u/Shorting%20strategy%20for%20ETHUSDT%20waiting%20on%20a%20bearish%20engulfing%20and%20overbought%20RSI%20to%20happen%20at%20the%20same%20time.png)\nShorting strategy for ETHUSDT waiting on a bearish engulfing and overbought RSI to happen at the same time\nThis is a shorting strategy for ETH/USDT waiting on a bearish engulfing and overbought RSI to happen at the same time.\n\n\n![longing strategy for BTCUSDT When the 9 period SMA crosses the 20 period EMA while Bitcoin’s price is below 7800.png](https://cdn.steemitimages.com/DQmRDAp2uEC1pNeofwy8k3tmLPtCT4CEeR5Ci2ZFiJky5Qi/longing%20strategy%20for%20BTCUSDT%20When%20the%209%20period%20SMA%20crosses%20the%2020%20period%20EMA%20while%20Bitcoin%E2%80%99s%20price%20is%20below%207800.png)This is a longing strategy for BTC/USDT. When the 9 period SMA (you can edit the period by clicking on the SMA after you set the rule) crosses the 20 period EMA while Bitcoin’s price is below 7800 USDT a purchase of BTC will happen. If price reaches 12000 the trade will be closed.\n\nIf you are interested in a more holistic overview of testing and creating a trading bot on [CLEO.one](https://cleo.one/crypto/) check out this video:\n\n<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/oUDFygPLSNY\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen></iframe>\n\nTry your hand at creating a strategy and let us know what you think! We’re excited to see what you come up with!",
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      "body": "Congratulations @cleo.one! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@cleo.one/birthday1.png</td><td>Happy Birthday! - You are on the Steem blockchain for 1 year!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@cleo.one) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=cleo.one)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemfest/@steemitboard/the-new-steemfest-badge-is-ready\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmRUkELn2Fd13pWFkmWU2wBMMx39EBX5V3cHBEZ2d7f3Ve/image.png\"></a></td><td><a href=\"https://steemit.com/steemfest/@steemitboard/the-new-steemfest-badge-is-ready\">The new SteemFest⁴  badge is ready</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
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      "body": "How to find optimal parameters of technical indicators and not lose everything\n\nIf you ever developed an algorithmic trading strategy based on technical analysis, you probably wondered how to set up the parameters of the technical indicators. What if there is a better period for RSI on EUR/USD than 14, which is the default? What if a strategy based on moving average crossover were more profitable if the fast moving average was a bit faster or slower? And more importantly: how am I to tell?\n\nYou would have to perform lots of backtests (one for each combination of parameters) and then compare the results. The problem is that there are just too many possible ways to set the indicator parameters, so most of us rely on the default values. These, however, are not necessarily optimal. Can anything be done about that?\n\nUnless you want to try out each combination of parameters manually (trust me: you don’t), you either need to know coding or have an app for automated backtesting that allows you to run hundreds of backtests and pick the strategy with best results. MetaTrader does offer this option but there is an issue with such optimization that would likely result in a net loss for the user rather than profit if he or she tried to trade the optimized strategy. The issue is so-called curve-fitting and it is worth discussing it in more detail since it appears in various forms when dealing with algorithmic trading strategies.\n\nCurve-fitting\n\nSuppose you know future price curve of some asset. Such information would be a gold mine — it would be very easy to trade, you would just go long at the troughs and short at the peaks, using largest leverage possible, and make a fortune. This way the chart of your positions would fit the price curve:\n![curve fitting.png](https://cdn.steemitimages.com/DQmYwaPb3bCZuGPtsgSj7vRNteAPfY3JBjYjZrDYDngMp7K/curve%20fitting.png)\n\nSo, it is clear that making huge profits on a price curve that we can know before is easy. And that is precisely the situation in which an algorithm optimizing the parameters finds itself in. Why? Because with the vast number of parameters of indicators used in the trading strategy it is very likely that some combination of parameters will result in such a series of trades that will fit the price curve. It is thus easy for a computer to go through all possible combinations and find the one that performs best on historical data. But there is no guarantee, of course, that such a combination will be optimal on future data as well.\n\nOptimization in MetaTrader 4 runs into this issue. The tester returns backtest results of all searched combinations, so the best performing combinations are so good not because they are robust (i.e. that their performance would generalize into the future too) but rather because they are those that fit the curve well. Optimization in MetaTrader 5 tries to solve this issue by adding the option to run a forward analysis (see next paragraph) but since it still runs many backtests on the testing period, the best combination from the forward analysis will still be good because of curve-fitting rather than robustness. In short, optimization in MetaTrader 4 does not provide the user with the kind of information he or she would need to make a good decision about parameter settings. And while optimization in MetaTrader 5 does provide the needed information, it is difficult to use it for an informed decision unless you are data scientist experienced in statistical modelling. If you relied just on the results of the forward analysis, you would likely lose money too.\n\nRobust optimization with AI\n\nCan the optimization issue be solved in any way? This is where the principles of machine learning help, specifically the custom of dividing data into a training set and a testing set. It’s a simple and crucial principle stating that the result of some algorithmic optimization or learning must be evaluated on other data than those the algorithm used for training (in our case: finding the best parameters). Only when the performance on testing data is nearly as good as the performance on training data do we say that the optimization is robust. In our use-case, for example, it would mean to run parameter optimization on EUR/USD prices in year 2017 and then look how such optimized strategy would have performed in 2018. For if it were the case that the optimization just over-fitted the curve of 2017, the optimized strategy would probably perform poorly in 2018.\n\nAnd this brings us to a new problem: how to optimize a strategy on historical data in such a way that it will likely perform well on future data too? Answer to this is, of course, the holy grail of algorithmic trading and the highly treasured secret of successful hedge funds.\n\nAt CLEO.one we applied other machine learning techniques to solve this problem as well as possible so that users can concentrate on developing the logic of the strategy rather than on looking for the best combination of parameters. As a result, you can now optimize your strategy with one click on our platform and still be sure you will avoid all the problems described above. How do we do it? Stay tuned to find out more about CLEO.one Optimizer, us, and our mission.\n\nGo to CLEO.one and try it out yourself.\n\nAuthors: CLEO.one Data Science Team",
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