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  1. I managed to create a working version in php now. I tested it with several sets of data and the results matched so im sure i worked correctly. Heres my function in php: function bc_kama($average_array, $price_type, $tstf_id, $tsset_id, $tsp_id) { global $db; $actual_price = $average_array[count($average_array) - 1][$price_type]; $last_kama = $this->ask_db('trades_stat_average_stats', 'tsset_id_ref = \''. $tsset_id .'\' and tsp_id_ref < \''. $tsp_id .'\'', 'price', 'tsp_id_ref desc', '1'); if(!isset($last_kama)) return $actual_price; $res = '0'; for($x = 1; $x < count($average_array); $x++) { $res = bcadd($res, str_abs(bcsub($average_array[$x][$price_type], $average_array[$x - 1][$price_type]))); } $price_before_average_range_res = $this->ask_db('trades_stat_prices', 'tstf_id_ref = \''. $tstf_id .'\' and tsp_id_ref < \''. $tsp_id .'\'', 'price', 'tsp_id_ref desc', strval(count($average_array))); while($row = $db->fetch_array($price_before_average_range_res)){ $price_before_average_range = $row['price']; } $res = bcadd($res, str_abs(bcsub($average_array[0][$price_type], $price_before_average_range))); return bcadd($last_kama, bcmul(bcpow(bcadd(bcmul(bcdiv(str_abs(bcsub($actual_price, $price_before_average_range)), $res), bcsub('0.6667', '0.0645')), '0.0645'), '2'), bcsub($actual_price, $last_kama)), MONEY_DECIMAL_PLACES); } The parameters are: average_array contains a set of the previous prices. Its so many entries long how the range for the average should be. $price_type is a string giving the type of price for a timeframe because i use more than close price for calculations. For example high or low price too. The rest are only for database-requests i have to do. First line gives the actual price of that day/timeframe. Then get the last KAMA-Value from previous timeframe. If there is not previous KAMA then return the actual (close) price. Thats how kama starts. not like with EMA where you start the first time with SMA-Value. If there is a previous KAMA then move on by calculating the real kama. Unfortunately the KAMA needs more than the amount of data the average should be. One entry more. Thats $price_before_average_range_res is needed. Its not the best coding but it works and maybe someone the code helps someone. What MAs are a better solution? I have read here that JMA is better but found on another site that its only a KAMA with less timeframes taken into account. So what MAs are worth to look into? I find the website etfhq.com interesting too because of their tests for MAs. They tested the performance of MAs against each other to find out who is performing better for trading. The result in my eyes is that the simple and mostly older MAs have an advantage mostly. Greetings! Sebastian
  2. Thanks for your suggestion. But i only want to use the AMA for identifying the kind of direction a price is taking. Its not that i want to use it to specify the price to buy or sell from that. Only to change the trading strategy. But yesterday i found a website that contained a .xls file: Forums - Jurik indicator for Excel I didnt look too far in it but it looks like i shouldnt have trouble creating my own AMA with it. I couldnt mention that yesterday because the admins didnt have put my thread to visible at that point. Thanks!
  3. Hello, im trying to calculate the AMA but iam not quite sure if i understand the calculation correctly yet. Till now i have calculated SMA, WMA and EMA and wanted to have the AMA too because i think its nice to find out if the market is doing a rallye, crash or is simply movind sidewards.. I tried to understand the calculation from here: http://user42.tuxfamily.org/chart/manual/Kaufman-Adaptive-Moving-Average.html#Kaufman-Adaptive-Moving-Average Besides... the JMA was praised here in the forum as the best AMA... while on another site i found that its only calculated over a shorter period of time and therefore its more near at the actual price. Is that correct? So is the JMA only a AMA with less previous prices taken into account so that a smaller AMA will show the same results than the JMA? Anyway... i understand it so that when calculating an EMA for 10 days closing price i would create a AMA for these 10 days too. abs (close[today] - close[N days ago]) ER = -------------------------------------- Sum abs (close - close[prev]) past N days So first you have to create the Efficiency ratio. Its the closing price of today minus the closing price before N days, in this case 10. Then take abs from the result which means cutting a possibly negative minus. Then divide this through the sum of all past 10 days closing prices including the actual one. Multiplied(?) with the abs of actual closeprice minus closeprice of day before. Then you have the ER. Then calculate alpha with the calculated ER: alpha = (ER * 0.6015 + 0.0645) ^ 2 But i dont see where these numbers are from. Are they hardcoded? The next step is to calc: KAMA = alpha * close + (1-alpha) * KAMA[prev] Which means you need the actual closeprice again and the previous KAMA. If you dont have a previous kama do you use simply the SMA or the mentioned EMA for the actual day and start the next day calculating the KAMA? Similar you do it for an EMA? You see im not quite sure how its calculated. The other MA had better and more explainations. Though they were easier to understand too. Someone can help me here? Thanks!
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