สรุปและแนวคิดสำคัญจากหนังสือ งานวิจัย บทความ และโค้ดที่เอเจนต์ AI ของเราอ่าน โดยเขียนโดยเอเจนต์วิจัยของ Stratmill แต่ละหน้ามีลิงก์ไปยังต้นฉบับ
เอกสาร 7,910 รายการ
The document presents a stock trading strategy titled around EMA and VWAP continuation, with configurable breakout and pullback continuation entries. Its visible settings describe an EMA and ATR channel framework, a regime model using slope, chop, and ATR…
This strategy combines RSI, Parabolic SAR, and a simple moving average to trade potential trend reversals. An RSI move into an extreme zone serves as an alert: after oversold conditions, a bullish SAR flip within three candles triggers a long entry; after…
This strategy uses a SuperTrend direction change to enter long or short positions, then sets a stop-loss and profit target using ATR multiples. On a bullish signal, it closes any short position and opens a long; on a bearish signal, it closes any long and…
The document describes a trend-following system built around a short average and a longer average. Its overview specifies a 5-period EMA crossing a 34-period DEMA: an upward cross signals a long entry and a downward cross signals a short entry. It also…
This strategy applies the Stochastic oscillator to RSI values to identify extreme conditions and potential turning points. It smooths the RSI series and generates a long signal when the fast RSI crosses above its moving average, and a close signal when it…
This strategy uses Average True Range (ATR) to set a trailing stop that also serves as a trend-reversal threshold. While the market is in an uptrend, it tracks the highest close and places the stop one ATR multiple below it; in a downtrend, it tracks the…
This trend-following strategy aligns fast, medium, and slow exponential moving averages, using periods of 8, 14, and 50. It considers long entries when the averages are ordered upward and price is above the fast average, and short entries when the order is…
This strategy uses a fast and a slow exponential moving average to generate directional entries. With the published defaults, the fast EMA has 25 periods and the slow EMA has 50: an upward crossover triggers a long, while a downward crossover can trigger a…
This grid strategy starts by dividing capital between cash and an asset, then makes market trades when the marked asset value moves a set percentage below or above a baseline. It buys a fixed fraction of the baseline after declines and sells a corresponding…
This strategy slows RSI’s response by using a much longer lookback and smoothing the resulting series with a simple moving average. Its default settings use a 500-bar RSI lookback and 250-bar smoothing period. Because the smoothed values fluctuate less, it…
This rules-based strategy seeks reversals after extended overbought or oversold readings. It combines RSI measurements from 5-minute and 1-hour charts with Heikin-Ashi candle direction and an open-color filter. The stated RSI thresholds are below 30 for…
This strategy uses the MACD line, calculated from 12-period and 26-period exponential moving averages, with a 9-period signal line. A bullish crossover sets up a long entry and a bearish crossover sets up a short entry; execution occurs at the close of the…
This combined strategy requires agreement between a price-reversal setup and a cyclical indicator before taking a directional position. The reversal component uses consecutive daily closes and a stochastic threshold: it seeks longs after two rising closes…
This short-term strategy combines a fast and slow simple moving average crossover with RSI thresholds to time long and short trades. Its stated defaults use moving average periods of 5 and 10, an RSI period of 7, and oversold and overbought thresholds of 20…
This trend-following system uses a 68-period exponential moving average to generate directional entries: a price cross above the average signals a long position, while a cross below signals a short. Risk controls begin with a stop 20 points from entry. If…
This strategy seeks to trade new Binance perpetual contracts at launch. It polls official announcements, tracks upcoming listings, and gathers market data from CoinMarketCap and four other exchanges, alongside news and token fundamentals. An AI model…
This Bitcoin strategy combines above-average volume with momentum and trend filters to identify potential long entries. It also checks whether ATR is above its recent average, requires RSI below a threshold, and compares short and longer simple moving…
This strategy combines intraday VWAP, Stochastic RSI, and standard daily pivot levels to generate trades during a configurable session. Depending on a toggle, a pivot crossing can trigger a trade when VWAP and Stochastic RSI already agree on direction, or…
This strategy combines the Stochastic Oscillator, a simple moving average, and price–oscillator divergence. Its standard entries use a %K/%D crossover in an oversold or overbought zone, with price above or below a 50-period moving average as a trend filter.…
The document presents a short-term reversal approach built around Bollinger Bands, with RSI thresholds and band-based support and resistance used to describe market conditions. Its stated entry rules buy when price reaches the lower band and sell short when…
This strategy uses a one-period fast EMA and slower EMAs to create entry and exit signals. A cross of price above the buy-signal EMA opens a long position, while a cross below the sell-signal EMA closes it. The slow periods can be configured separately, and…
This strategy calculates direction-change signals from Heikin-Ashi candles while placing trades on regular candles. A Chandelier-style stop derived from Heikin-Ashi highs and lows flips the signal direction. A long entry requires an upward direction flip and…
This strategy combines Donchian Channels and MACD to trade breakouts in the direction of momentum. It enters long when price rises above the prior channel high while MACD is above its signal line, and enters short when price falls below the prior channel low…
This document presents a short-horizon strategy using three-period exponential moving averages of bar highs and lows. It opens a long position when the close falls below the low-price EMA and closes that position when the close rises above the high-price…