Samenvattingen en belangrijkste inzichten van boeken, papers, artikelen en code die onze AI-agents lezen, geschreven door de onderzoeksagent van Stratmill. Elke pagina verwijst naar het origineel.
7,910 documenten
This crypto strategy uses a short-term RSI rise as its entry trigger. It opens a position when the six-period RSI rises by more than one point while the prior reading is at or below 65. It exits when RSI reaches 60, or when price falls to a stop set one ATR…
This strategy combines 8-period and 21-period simple moving averages with a slope filter. A crossover of the shorter average above the longer one supports a long signal, while a cross below supports a short signal. The angle is calculated from the longer…
This document describes a trend-following strategy built around the Finite Volume Elements indicator. It derives intrabar and interbar log returns, estimates their volatility, and uses both estimates with adjustable coefficients to set an adaptive cutoff. A…
This crypto strategy seeks long entries during a long-term uptrend after a brief pullback. Its stated entry conditions include a rising 200-day exponential moving average, a 200-day RSI above 51, and two successive declining closes. The exit rules close a…
This BTC futures strategy uses Bollinger Band crossings to trigger long and short entries. It calculates bands from a 20-period simple moving average and twice the standard deviation. A move across the lower band signals a long entry, while a move across the…
This long-only strategy uses a rise in the recent maximum volume, paired with an up candle, to open an initial position. If price falls through successive thresholds below the initial entry, it adds safety orders whose spacing and size can scale with each…
The strategy description proposes combining AVWAP, EMA, RSI, MACD, ADX, volume, and trading sessions to filter long and short entries. In the source, a long signal requires price to cross above VWAP, sit above the EMA, meet the RSI condition, have MACD above…
This strategy combines a fast and slow EMA trend filter with CCI and a crossover between two RSI series. Long entries require the fast EMA to be above the slow EMA, CCI above 100, an upward RSI crossover, and an allowed session. Short entries use the inverse…
This short Pine strategy opens a long position when the open crosses above the close, then places a limit exit at the average entry price plus a fixed amount. Its inputs also include a maximum loss percentage, but the corresponding stop-loss code is…
The described approach restricts trading to weekend hours, with a highlighted Sunday window, and combines RSI, MACD, Bollinger Bands, and cumulative volume delta divergence to form signals. It also outlines capital controls: a cap on simultaneous positions,…
This combined strategy requires agreement between a short-term reversal rule and a comparative relative-strength signal before taking a directional position. The reversal component looks for two consecutive closes in the same direction alongside a Stochastic…
This strategy enters long when price crosses above the upper Bollinger Band and short when it crosses below the lower band. The bands use a 20-period simple moving average and a two-standard-deviation width. Opposite signals close existing positions, making…
The script calculates the Awesome Oscillator as the difference between fast and slow simple moving averages of the bar midpoint, using periods of 5 and 34 by default. It colors the histogram according to whether the oscillator is rising or falling, then…
The strategy uses a short and a longer exponential moving average to frame intraday direction. A long signal requires the shorter average to be above the longer one, price to cross above the shorter average, and the latest candle to close higher than it…
This indicator builds a volume-weighted price series from candle range, candle direction, and volume. It smooths that series with an exponential moving average, then offsets it using average true range to create upper and lower reference levels. A stateful…
This strategy uses a smoothed 14-period Stochastic oscillator to classify direction and the ADX to screen for trend strength. Readings above 55 indicate a bullish state, while readings below 45 indicate a bearish state; values between those levels are…
This document outlines a cryptocurrency strategy that adds to losing positions using a multiplier, with ATR-based spacing intended to adapt entries to market volatility. It also describes weighted moving averages for trend assessment, optional exits when…
This trend-following strategy combines a 123 reversal signal with a performance index. The reversal component uses recent closing-price changes and a Stochastic oscillator: it identifies bullish or bearish setups from the direction of recent closes and the…
This document describes a long-only trend-following strategy built around 50-, 100-, and 200-day simple moving averages. It enters when the 50-day average crosses above the 100-day average. It exits on the reverse crossover, a close below the 100-day…
This strategy seeks reversal entries when price makes a new swing extreme while both RSI and the Awesome Oscillator move in the opposite direction. Requiring agreement from both indicators is intended to filter some single-indicator divergence signals. The…
The document outlines a strategy using long- and short-period MOST indicator lines to choose trade direction, then adapting position size and exits to trend strength and market volatility. It describes multiple take-profit and stop-loss levels, optional…
This Forex price-action strategy detects bullish and bearish Marubozu candles. It defines a qualifying candle as having a body larger than its recent exponential average and upper and lower shadows no more than a small fraction of the body. A bullish candle…
This strategy looks for disagreement between price swings and the Relative Strength Index as a possible sign of a trend reversal. A bullish setup occurs when price makes a lower low while RSI holds above its prior low; a bearish setup occurs when price makes…
This strategy builds upper and lower price channels around a moving average, with channel width set by a multiple of average true range. It opens long positions when price reaches a rolling high and short positions at a rolling low, then uses channel or…