สรุปและแนวคิดสำคัญจากหนังสือ งานวิจัย บทความ และโค้ดที่เอเจนต์ AI ของเราอ่าน โดยเขียนโดยเอเจนต์วิจัยของ Stratmill แต่ละหน้ามีลิงก์ไปยังต้นฉบับ
เอกสาร 7,910 รายการ
This strategy transforms RSI into a centered histogram by subtracting 50 from the RSI value and applying a scale factor. It compares that series with configurable buy and sell alert levels, then maps the resulting state to long or short positions. A…
This combined strategy seeks agreement between two signals before taking a directional position. One component tracks price relative to a moving average and recent highs and lows to assign a bullish or bearish state. The other applies a recursive bandpass…
The described approach combines WaveTrend crossover signals with a Directional Energy Ratio (DER) direction check to select long or short entries. RSI readings above 70 or below 30 are presented as conditions for closing positions. The document also lists…
This document describes an RSI mean-reversion strategy that seeks reversals at overbought and oversold readings, while filtering trades according to trend strength and recent volatility. It uses a moving average to assess market direction and avoids trading…
This document presents a trend-following setup that uses G-Channel boundaries to determine market direction and an EMA to identify pullbacks within that direction. The channel is described as upper and lower price bounds with a midpoint; the most recent…
The excerpt describes a chart strategy named Bjorgum Double Tap and documents several controls for detecting and managing patterns. Pattern pivots are formed from significant highs or lows over a chosen bar length, with a tolerance that allows the two…
This short-term trading framework uses a 14-period RSI and enters long when RSI crosses above 60, or short when it crosses below 40. It sets profit targets and stop levels as fixed price-point distances from the position's average entry price, with separate…
This document describes a breakout approach that measures how often closing prices exceed a moving-average-based boundary. It counts closes above a boundary derived from an n-period simple moving average and a standard-deviation buffer over a separate…
This strategy calculates the Tillson T3 from a price series based on the bar high, low, and close. It applies six successive exponential smoothing steps and combines the later smoothed values with coefficients controlled by a volume factor. A rising turn in…
The document introduces Williams Accumulation/Distribution (AD) as a way to interpret buying or selling pressure and describes a divergence method: a new price high without a corresponding AD high may indicate distribution, while a new price low without a…
This breakout strategy fits quadratic curves to rolling bar highs and lows, treating the resulting upper and lower curves as potential resistance and support. It identifies candidate signals by comparing the fitted curves across nearby bars: a qualifying…
This trend-following approach combines an ATR-based PMax line with a selectable moving average. The indicator uses volatility to set a moving stop-like boundary around the average, with its direction determining which boundary forms PMax. A crossover of the…
This strategy uses fast and slow Zero-Lag EMAs to identify directional changes. It constructs each line by applying an EMA twice and adding the difference between the first and second smoothing passes. A fast-line crossover above the slow line signals long…
This strategy combines a moving-average direction signal with a measure of bar range relative to price. The description presents the moving averages as short- and longer-term trend guides, and compares current range volatility with a simple moving average of…
This document describes a trend-following strategy built around the Ichimoku Cloud. Its principal entry signals occur when the 9-period Conversion Line crosses the 26-period Base Line: an upward cross signals a long entry and a downward cross signals a short…
This strategy uses only the Aroon indicator to generate directional signals. It compares the recency of the highest high and lowest low over a configurable lookback, set to seven bars by default. When the upper measure exceeds the lower measure, the strategy…
This Pine strategy combines daily classic pivot levels with a 50-period EMA and a 7-period RSI. It calculates the prior day's pivot, support, resistance, and central pivot range, then uses the current close and intraday lows or highs relative to those levels…
This long-only strategy combines three technical conditions before entering a trade: a bullish MACD crossover, RSI above a threshold, and a short moving average above a longer one. Its published defaults use MACD periods of 12, 26, and 9, a 14-period RSI…
This strategy trades a basket of USDT-margined crypto perpetuals by comparing each asset’s price relative to Bitcoin with a basket index. It maintains a smoothed reference level for each coin-to-Bitcoin ratio, then uses deviations from the index to guide…
This strategy compares fast and slow ATR estimates using a two-sample significance test, treating a sufficiently large difference as evidence of unusual volatility. It then estimates directional drift from a moving average of log returns and enters long when…
This two-sided strategy uses a moving-average channel to frame price fluctuations and combines its crossings with MACD signals. The described rules buy when price crosses back above the lower band and sell when it crosses back below the upper band; positions…
This strategy presents five selectable ways to use MACD crossovers for trade signals: basic crossover entries, an overbought filter, moving-average confirmation, a moving-average zone condition, and RSI confirmation. It also allows choices among several…
This strategy combines an ATR-based UT Bot trailing stop, a Hull Moving Average trend filter, and a weighted moving average momentum signal. It enters long only when price crosses above the trailing stop and HMA, momentum crosses above its signal line, and…
Noro’s trend strategy combines a price-channel midpoint, a fast RSI, and a candle-body filter. The channel is formed from the highest and lowest closing prices over the selected lookback; recent lows above its midpoint indicate an uptrend, while recent highs…