Combination of Candlestick Pattern and Stochastic to Detect Trend Reversal in Forex Market

A variety of ways traders do to determine the decision to buy/sell on the forex market. It bases one that is popular on candle patterns. Some strategies that use candle patterns include: pin bar, engulfing, and inside the bar. But the strategy used is still limited to determining buying/selling decisions. This research will use a combination of candle pattern strategies and stochastic moving average to determine the level of risk that exists in each buy/sell decision on the forex market. By using this combination, the results are good in Eur/USD pairs

Stop hunt detection using indicators and expert advisors in the forex market

Foreign exchange trading activities are one of the businesses that can generate big profits, and provide freedom for business people without the need to provide a large capital. Traders often suffer losses due to uncertainty in the market. One of them is market manipulation carried out by brokers or banks. For this reason, this research was conducted to detect any manipulation that occurred in the foreign exchange market. This research tries to combine trading systems, indicators and expert advisors that aim to help traders detect fake market price movements to minimize losses that occur due to errors in making transaction decisions. The results of the study produce an indicator that is able to detect the potential of certain patterns used by the market maker to reverse the direction of market prices and is supported by the presence of expert advisors who are able to pinpoint potential market manipulation, so traders can avoid large losses

Implementing Bisection Method on Forex Trading Database for Early Diagnosis of Inflection Point

Many people are trading in the forex market during the COVID-19 pandemic with the hope of earning money, but they are experiencing shortages due to the lack of information and technology-based tools for existing daily data. Sometimes traders only use moving averages in trading data, even though this information needs to be processed again to get the right inflection point. The objective of this research is to find inflection points based on Forex trading database. Another algorithm can also be used to determine the inflection point between two points on a moving average. This can be supported by the Bisection method used because it can guarantee that convergence will occur. The results show that the points resulting from the bisection calculation on the moving average provide a fairly accurate decision support for the location where the inflection point is located. From 10,000 data there is a standard deviation of 0.71 points which is very small compared to an average of 20 pips (points used as the difference in price values in forex). The use of the bisection method provides an accuracy of the results in seeing the inflection point of 87