สรุปและแนวคิดสำคัญจากหนังสือ งานวิจัย บทความ และโค้ดที่เอเจนต์ AI ของเราอ่าน โดยเขียนโดยเอเจนต์วิจัยของ Stratmill แต่ละหน้ามีลิงก์ไปยังต้นฉบับ
เอกสาร 7,910 รายการ
This trend-following system combines a Zero-Lag Smoothed Moving Average (ZLSMA), Chandelier-style ATR stop calculations, and relative volume (RVOL). The written rules call for long entries when price crosses above ZLSMA and RVOL exceeds a threshold, and…
The document outlines a price breakout approach using Bollinger Band boundaries, RSI, moving averages, and an ATR-based stop. Its stated entry rules buy when price breaks above the upper band with RSI above 50, and sell when price breaks below the lower band…
The document presents the Willy Wonka Breakout Strategy as a multi-indicator approach combining RSI, stochastic crossovers, EMA direction, and reversal candles near support or resistance. Its written rules describe buying when RSI falls below 28 and selling…
The strategy generates directional signals when a fast simple moving average crosses a slow one. It confirms long entries with positive rate of change, price above the 200-period EMA, and RSI above 55; short entries require negative rate of change, price…
This strategy pairs an exponential moving average crossover with a volume filter to generate directional trades. It describes using a 34-period EMA as the trend reference and comparing current volume with a 21-period volume average; a crossover or crossunder…
This futures grid strategy opens an initial long and short position, then adds to each side when price moves against that side by a configured percentage. Position sizes increase through a preset sequence, creating a martingale-like scale-in process. Each…
This long-only system combines momentum, trend-strength, volatility, liquidity, and trend filters. Entry requires volume above 1 million, ADX above 25, RSI above 60, ATR above 2, and price above a 200-period EMA. It proposes a 15% stop, partial profit taking…
This strategy uses crossovers between fast and slow EMAs to initiate long and short positions, with starting periods of 5 and 10. It pairs those signals with percentage-based stop-loss and take-profit orders, each initially set to 1%. The document describes…
This trend-following strategy combines a simple moving average with an ATR-based stop. It enters long when price is above the SMA after several consecutive falling closes, and short when price is below the SMA after several rising closes. The stop distance…
This BTC futures strategy combines short and long EMA direction with RSI filters, candlestick patterns, and above-average volume to generate entries. It uses ATR to set volatility-adjusted stops and targets, modifies the ATR multiplier according to recent…
This JavaScript template shows how to retrieve a requested length of historical candles from Binance futures when one exchange request cannot supply them all. It maps supported second-based intervals to Binance interval names, selects the USD-margined or…
This trend-following method aligns three exponential moving averages and the closing price to identify directional conditions. A long signal occurs when price is above the fastest average and the averages are ordered from fastest to slowest; a short signal…
This strategy uses a short-period RSI with several fixed oversold levels to trigger long entries and several overbought levels to close them. The supplied implementation enters when RSI crosses upward through selected low thresholds and exits when it crosses…
This strategy uses a 20-period and 50-period EMA crossover to generate long and short entries. For an open position, it calculates both a trailing stop and a fixed percentage stop based on entry price, then selects the stop closer to the current market…
This script describes an intraday Micro E-mini Nasdaq futures strategy that combines one-minute market-structure signals with a five-minute EMA trend filter. It identifies swing highs and lows using pivots, tracks a directional structure state, and signals…
This long-only trend-following approach uses the Directional Movement Index: a crossover of positive DI above negative DI triggers entry. The accompanying explanation presents ADX as a way to assess trend strength and describes a percentage-based trailing…
This BTC futures system uses a short and long EMA crossover to signal trend changes, then checks MACD direction and RSI thresholds before entering. An optional higher-timeframe EMA filter requires price to agree with the broader trend. The strategy supports…
This trend-following strategy compares fast and slow exponential moving averages. A fast-line cross above the slow line signals a long entry, while a cross below signals a short entry. The described approach uses ADX to filter for stronger trends, although…
This strategy combines a Super Signals channel, MACD, and Laguerre RSI to confirm entries. It looks for price to break the channel while MACD indicates direction and RSI confirms the setup. It supports long and short trades, with stop losses based on ATR, a…
This strategy enters on a 9-period and 21-period EMA crossover, requiring confirmation from a 14-period RSI and the MACD line relative to its signal line. Longs require RSI above 50 and MACD above its signal; shorts require both readings to support downward…
This BTC futures strategy marks potential reversal areas using MACD line and signal-line crosses alongside comparisons with earlier price and MACD values. A bullish signal occurs when price is lower than at the prior cross while the MACD line is higher,…
The strategy description combines moving-average or MACD crossover signals with an RSI momentum filter and volatility-aware risk controls. A bullish crossover permits a long when RSI is above a threshold, while a bearish crossover permits a short when RSI is…
The document describes a trend-following method that pairs moving-average direction signals with an RSI momentum filter. The explanatory overview says a fast average crossing above or below a slower average sets the directional bias, while RSI above or below…
This long-only Turtle-inspired strategy enters when the close exceeds the prior period’s highest high over a configurable lookback, optionally requiring price to be above a simple moving average. It uses a shorter lookback’s prior lowest low as a channel…