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 BTC/USDT futures strategy description combines fast and slow EMAs with candle direction and higher-timeframe information. It presents bullish and bearish EMA crossovers confirmed by candle bodies, with a recent high or low used as a support or…
This short-term Bitcoin strategy uses the True Strength Index (TSI), calculated by double-smoothing price changes and their absolute values, to measure directional strength. A TSI crossover of its signal line generates a long or short signal. The…
This strategy combines an ATR-based Supertrend with a 200-period EMA filter. It enters long when Supertrend turns bullish and price is above the EMA, and short when Supertrend turns bearish and price is below it. Percentage-based stop and take-profit levels…
The visible portion describes a configurable, multi-signal trading strategy built around TEMA and LSMA, with additional filters for trend quality, volume, ideal conditions, and reversals. Its inputs include ATR-based profit, stop, and trailing distances, a…
This strategy combines an EMA-based price direction signal with a bandpass filter intended to identify cyclical price movement and overbought or oversold zones. It opens a long or short position when both indicators point in the same direction and closes…
This framework combines a security’s trend with its performance relative to a configurable sector benchmark. It calculates the ratio of the charted security’s close to the benchmark’s close and smooths that ratio with an exponential moving average. A fast…
This script turns the Ease of Movement indicator into a long-or-short strategy. It estimates movement using changes in price midpoint relative to volume and the bar’s high-low range. Larger positive or negative readings indicate relatively easy movement in…
This strategy pairs 20- and 50-period EMAs with an ATR-based SuperTrend to produce directional signals. The description says a bullish EMA crossover must coincide with price breaking above the SuperTrend band for a long entry; the reverse combination signals…
This Bitcoin strategy uses a selected technical signal to open an initial long position, then adds to the position as price falls by a configured percentage. The script allows a starting position size, a martingale multiplier, and a take profit percentage;…
This short-term BTC futures approach looks for unusually high volume alongside an oversold RSI reading to enter long trades. It defines a volume spike as current volume exceeding its 20-bar average by two standard deviations, and uses RSI below 30 as the…
This BTC futures strategy combines RSI, short and long EMAs, and MACD to generate directional entries. The written description calls for a long when the short EMA crosses above the long EMA, RSI is below its overbought threshold, and MACD is bullish; it…
This simple long-only method uses a 14-period RSI to identify oversold conditions. It enters long when RSI is below 25, aiming to capture an upward rebound, and sets a profit target 7% above the entry price and a stop 3.5% below it. It does not open short…
This strategy combines a short-term 123 reversal setup with a MACD-style momentum direction signal. The reversal component looks for a change in the direction of recent closes and applies a stochastic filter around a threshold. The second component tracks…
This strategy combines an ATR-scaled set of price bands with moving average trend filters to build positions in the prevailing direction. The center line is a 20-period simple moving average, and four bands on either side are spaced at multiples of ATR. A…
This strategy smooths Chaikin Money Flow (CMF), a measure combining price location within each bar and trading volume, with fast and slow EMAs. A cross of the fast EMA above the slow EMA signals a long, while a cross below signals a short. The description…
This strategy enters long when the closing price crosses above a simple moving average. At entry, it records the lowest price over a specified lookback, then raises a stop according to that baseline plus a decrement multiplied by the number of bars in the…
This strategy uses an ATR-scaled Zigzag structure to identify candidate breakout levels. It sets the structural threshold as ATR multiplied by a configurable factor, then places stop-market entries at the most recent Zigzag high or low when the structure…
This system generates a long entry when the MACD line crosses above its signal line and closes the position when it crosses below. It describes the conventional MACD setup using 12- and 26-period exponential moving averages with a 9-period signal line. The…
This intraday strategy uses breaks of the current session’s high or low to trigger trades, with RSI as a directional filter. It allows entries during a specified daytime window, buys a high breakout when RSI is above 50, and sells a low breakout when RSI is…
This long-only strategy treats consecutive candles sharing a low as a possible retest setup, then waits for price to move above that shared low before preparing an entry. It places four limit orders at staggered prices derived from a recent volatility…
This example demonstrates how cash dividends are represented in an equity backtest when data normalization is set to raw. It subscribes to daily Microsoft data, sets a starting portfolio, and takes a holdings position. The algorithm checks incoming data for…
This strategy combines price-action support levels with MACD to seek long entries near support when momentum turns bullish. It proposes judging support strength by repeated touches or rebounds, then entering when price is near a strong level and the MACD…
The Sling Shot system uses two exponential moving averages to identify the prevailing trend and spot pullbacks for possible entries. A faster EMA above a slower EMA marks an uptrend; a close below the fast EMA is described as an aggressive long alert, while…
This strategy combines price-fractal turning points with a smoothed moving average to generate long and short entries. The accompanying logic approximates a fractal using local highs or lows, then checks the prior close against the SMMA: a low fractal with…