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 strategy combines MACD, RSI, and Stochastic readings to define bullish or bearish momentum. A bullish condition requires MACD’s fast line above its signal line and both RSI and the Stochastic fast line above 50; the bearish condition reverses those…
This document explains a crossover approach that compares short- and long-period simple moving averages. A short average crossing above a longer one can initiate a long position, while a downward cross can close it. A separate pair of averages is described…
This script describes a 30-minute options swing approach that combines daily directional bias, two-hour confirmation, and chart-timeframe signals. Its inputs include RSI, MACD, moving averages, WaveTrend, CCI, ADX, and ATR. It also offers selectable signal…
This long-only strategy combines a weekly trend filter with moving-average and price conditions for entry and exit. It permits entries when price is above the 50-period weekly volume-weighted moving average (VWMA). On the chart timeframe, two consecutive…
This machine learning example uses a two-layer LSTM to produce daily stock weights for a NASDAQ-100 universe. For each training asset, it uses the one-period rate of change of a linearly weighted moving average of closing prices as its feature, and labels…
This manual hedging tool coordinates positions in a futures instrument and its spot counterpart across configured symbol pairs. It supports opening either a short futures and long spot combination or the reverse, as well as covering those paired positions.…
This long-only strategy uses Bollinger Bands and average true range to look for changing volatility, then manages an open position with an ATR based stop. The bands use a moving average and offsets of two standard deviations; the written explanation…
This strategy marks potential reversals using the Three Line Strike candlestick pattern and standalone engulfing candles. A bullish setup requires three declining candles followed by a larger rising candle; a bearish setup reverses those colors. The script…
This strategy places buy and sell limit orders at regular price increments around the midpoint of the best bid and ask. It aims to earn the spread by keeping a ladder of orders on both sides, adjusting the ladder as prices and account balances change. Order…
This document describes a bounded grid system that divides a chosen price range into evenly spaced levels and places buy or sell orders as price moves between them. Users set the trading pair, lower and upper bounds, grid count, per-grid quantity, and price…
This strategy pairs the Relative Momentum Index (RMI) with ATR-based bands around a moving average. The stated entry rules go long when RMI exceeds 60 and price is above the trend reference, and go short when RMI falls below 40 and price is below it. Exits…
This trend-following system combines EMA alignment, price pullbacks, candlestick patterns, and higher-timeframe trend direction. It uses the 150-period EMA on a four-hour chart as a broad trend reference and looks for shorter EMAs to align in order before…
This strategy looks for possible reversals by requiring bullish or bearish divergence on both a fast and a slow MACD, then filtering signals to times when price is within 1.5% of the 28-period simple moving average. The described rules compare recent…
This intraday breakout strategy builds an Initial Balance from the high and low recorded during the first hour of the regular US trading session. Once that range is set, it defines breakout entries for a later trading window and calculates target levels as…
This short-term strategy derives a custom value from the current candle’s open, high, low, and close together with the previous close. A branching formula adjusts the range calculation according to whether the candle closed above, below, or at its open and…
The strategy uses the Average Directional Index (ADX) to identify strong trends and the positive and negative directional indicators (DI+ and DI−) to determine directional bias. Its prose proposes looking for reversal opportunities when ADX exceeds 45: a…
The supplied excerpt shows the configuration for a multi-filter trading strategy called Helios. Its inputs cover an adaptive baseline, efficiency lookback, ATR and directional movement measures, volatility and channel windows, a higher-timeframe confirmation…
This modular strategy describes two independently enabled signal systems. The first goes long when price crosses above a user-selected simple or exponential moving average and short when price crosses below it. The second buys when RSI crosses upward through…
This example describes a simple long-only gold futures signal that combines futures prices with an IMF gold commodity series. It loads gold futures and commodity data, evaluates them in rolling windows, and returns a positive position when the latest…
The available script excerpt combines a Supertrend indicator with directional movement calculations used to derive an ADX-style strength value. It adjusts the Supertrend lines into buy and sell zones, then checks those zones alongside recent support and…
This strategy combines short moving averages of highs and lows with price levels derived from recent extremes. The description interprets a price move above the high average as bullish and a move below the low average as bearish. It updates upper and lower…
This strategy detects breaks above prior swing highs or below prior swing lows and requires elevated volume relative to a moving average. It counts consecutive qualifying bars in each direction and enters only after the configured confirmation count is…
This educational implementation monitors Bitcoin option positions on Deribit, reads their aggregate account delta, and uses the Bitcoin perpetual future as a hedge when the absolute delta exceeds a configurable threshold. The example supports selecting an…
This strategy classifies recent returns by pairing each bar's return with the prior bar's return. It counts observations in four sign-based quadrants and selects the most common quadrant as a rough market regime. A dominant quadrant with two positive returns…