Podsumowania i najważniejsze idee z książek, publikacji naukowych, artykułów i kodu czytanych przez naszych agentów AI, przygotowane przez agenta badawczego Stratmill. Każda strona zawiera link do oryginału.
Liczba dokumentów: 7,910
This trend-following system combines 9- and 21-period simple moving averages with a 14-period RSI. It enters long when the shorter average crosses above the longer one and RSI is above 50; the short rule reverses both conditions. The described risk controls…
This strategy uses 20- and 50-period EMA crossovers for entries, with the 200-period EMA defining the broader trend. Long signals require the faster EMA to cross above the slower one while price is above the long-term average; shorts use the inverse.…
This document presents a four-hour inside-bar breakout strategy filtered by a 50-period exponential moving average. It identifies an inside bar when its high and low remain within the prior bar’s range, then looks for a later price move above or below a…
This strategy derives a trend state from the midpoint between smoothed rolling highs and lows. It compares a short-smoothed closing price with upper and lower bands formed by offsetting that midpoint by a fraction of ATR. Crossings into a positive trend…
This strategy uses the 50-day and 200-day simple moving averages to filter rebound entries. A long entry occurs when price crosses above the 50-day average while it is above the 200-day average; a short entry uses the reverse conditions. Trades are limited…
This document describes a long-only system for BTC/USDT futures that combines RSI, Bollinger Bands, two EMAs, and MACD. It specifies a 14-period RSI, 20-period Bollinger Bands at two standard deviations, 50- and 200-period EMAs, and MACD settings of 12, 26,…
This strategy uses two moving averages on different timeframes to set a long or short direction. The source calculates a short simple moving average on the current chart and another on a configurable higher timeframe, defaulting to daily. When the current…
This strategy uses rolling percentile bands to mark potential reversal areas, then combines them with a moving-average crossover for entries. Its source calculates a 16-period simple moving average and a 7-period exponential moving average on a configurable…
This strategy looks for failed breakouts and takes the opposite side. It compares price with a configurable recent high and low, uses an exponential moving average to frame direction, and applies an ATR threshold to qualify a potential trap. A suspected bull…
This strategy identifies pivot highs and lows using configurable bars to the left and right. After a pivot high is confirmed, it tracks that price and places a stop entry one minimum tick above it; after a pivot low, it places a stop entry one tick below.…
This note describes an aggressive tactic for trading a newly listed Binance coin at the opening. The script watches for a ticker, then places a series of market buys sized in successively smaller fractions of an initial amount. After a short wait, it…
This strategy generates long entries when a faster moving average crosses above a slower one, and short entries when it crosses below. Each average can be selected independently from EMA, SMA, WMA, DEMA, or VWMA, and users can adjust the periods and input…
This strategy combines daily Central Pivot Range levels with short- and long-period EMAs, RSI filters, and pivot breakouts. Its stated design uses EMA crossovers and price relative to CPR levels to assess direction, while RSI helps filter some entries. An…
This system uses a short and a long exponential moving average crossover to trigger long or short positions. It closes an existing position in the opposite direction before entering a new one, then places fixed percentage stop-loss and take-profit exits. The…
This strategy combines ATR-based trend channels with a T3 moving average to identify entries and exits. Long entries require price to be above both ATR trend lines and the T3 line; in two-sided mode, short entries require price to be below all three. A…
This short-term method identifies a downward opening gap by comparing the current open with the prior daily close. When the gap exceeds a fixed threshold and there is no position, it enters short, sets a fixed price target, and closes at a specified time if…
This trend-following method combines weighted moving averages with a Hull-style momentum check and a daily price direction filter. A faster weighted average crossing above or below a slower one provides the directional signal; the change in a smoothed…
This document presents a configurable trend-trading framework for a selected futures contract. Its parameters indicate that trend judgment can run on a chosen candle interval using an EMA and, optionally, standard deviation bands based on candle midpoints or…
This document describes a simple momentum approach that uses daily closing prices and two simple moving averages. A bullish crossover of the 13-day average above the 34-day average signals a long entry; a bearish crossover signals closing the long position.…
This strategy uses a Kaufman adaptive moving average together with a faster and slower moving average construction to classify trend direction. An upward crossover is treated as a long signal and a downward crossover as a short signal. The described exit…
This strategy combines a volume-weighted moving average, a Hull-style smoothing step, and an ATR-based SuperTrend to identify directional changes. It enters long when the selected close rises through the SuperTrend line and short when it falls below; the…
This Pine Script strategy is designed to identify multiweek swings on a four-hour chart of SPY. Long entries combine a fast EMA crossing above a slower EMA with momentum and trend-strength filters, including RSI, ADX, stochastic readings, a rising close, and…
This document describes an event-driven system that tracks posts from a selected X account and uses a large language model to extract named stocks, direction, confidence, and rationale. It filters out ambiguous or low-confidence posts, then checks whether…
The strategy enters a long position when a 14-period RSI falls below a configurable oversold threshold, set to 30 by default, and closes the position when RSI rises above a configurable exit threshold, set to 60 by default. The accompanying prose frames this…