Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
19,452 documents
This long-only cryptocurrency strategy combines a short moving-average crossunder with a CCI oversold signal. The default setup uses 1-hour signals, and its AND mode allows both events to align within a configurable keep-alive window; OR mode accepts either…
This long-only strategy combines a multi-pole Gaussian filter and filtered true-range band with Stochastic RSI. It enters when the filter is rising, price closes above the upper band, and the oscillator’s K line is above its D line. The script uses a time…
This Bitcoin strategy combines a volume condition with a short-versus-long moving-average trend filter, an RSI ceiling, and ATR above its own moving average to generate long entries. It also retrieves Bitcoin dominance data and uses a dominance threshold as…
This Bitcoin strategy combines an ATR-based volatility stop, a volatility measure built from the distance between recent highest closes and the current low, and RSI. Its long entry occurs when the volatility measure crosses below its upper band while price…
This Bitcoin strategy seeks entries on short-term pullbacks following a strong move. It detects impulses from the change in a smoothed primary-timeframe price relative to ATR, with an additional filter comparing current ATR to its recent average. A…
This ENA strategy places a fixed set of price levels between user-defined upper and lower bounds. Levels can be spaced geometrically, keeping percentage spacing more uniform, or arithmetically, keeping absolute spacing uniform. When the closing price crosses…
This paper-trading strategy adapts a Turtle-style channel breakout to daily Bitcoin prices. It opens a long position when the close exceeds the prior breakout lookback high and is above a simple moving average filter. An ATR-based initial stop defines a…
This chart overlay marks changes in Bitcoin’s mining difficulty using daily difficulty data. In its default mode, it colors background columns green when difficulty rises and red when it falls. The offset columns are a display choice intended to keep the…
The indicator defines first-order pivots as three- or five-bar V-shaped highs and lows. It constructs second-order pivots by finding the same peak-or-trough pattern among first-order pivots, then applies the process again to identify third-order pivots. This…
This grid strategy divides a fixed price range into configurable levels, spaced either geometrically or arithmetically. It buys a slot when the closing price crosses downward through its level and closes that slot when price crosses upward through the next…
This strategy estimates a smoothed price and velocity with a two-state Kalman filter. It measures the recent mean absolute deviation of closing price from the estimate, then places adaptive bands around the filtered price. A close crossing above the upper…
This strategy combines a rule-based market regime classifier with macro, open-interest, liquidity, and volume conditions. Its so-called HMM regime is a persistent state machine: a Hurst-style proxy, ADX, RSI, directional indicators, micro-timeframe candle…
This Bitcoin strategy combines signals across three timeframes to trade pullbacks in the direction of a broader trend. The one-hour 200-period EMA sets the directional bias, while 15-minute RSI identifies a pullback and three-minute Stochastic RSI crossovers…
This strategy divides a configured price range into evenly spaced arithmetic or geometric levels and places a buy when price crosses down through an unfilled level. A filled level is closed when price crosses up through the next level. Position value is…
This strategy combines breaks of pivot-based trendlines with a Supertrend direction filter to generate long and short signals. It detects swing highs and lows using a configurable lookback, then projects upper and lower lines using slopes calculated from…
This long-and-short strategy uses MACD histogram crossovers to identify directional turns and RSI thresholds to filter entries. A bullish MACD crossover can open a long when RSI is below its configured upper threshold; a bearish crossover can open a short…
This single-pair long strategy combines RSI entry signals with a dollar-cost-averaging ladder. It opens a base position when a 14-period RSI on a configurable timeframe crosses above 30. Additional safety orders require price to fall below progressively…
This BTCUSDT-oriented strategy combines four exponential moving averages to define broad trend, time entries, and manage exits. The 50-period EMA above the 200-period EMA permits long entries; the reverse alignment permits shorts. A crossover of the 7- and…
This strategy uses the ratio of Bitcoin leveraged long positions to the combined total of long and short positions as a sentiment measure. It standardizes that ratio with a rolling Z-score, calculated from its moving average and standard deviation over a…
This script models long or short dollar-cost averaging strategies using RSI threshold crossings to start a deal. It places an initial limit order and up to ten safety orders at progressively wider price deviations. Safety-order size is controlled by a…
This Ethereum strategy combines Aroon crossover signals with an Absolute Strength Histogram concept. It uses separate lookback settings for long and short signals: a long begins when the long-side Aroon lines cross upward, subject to a lower-line threshold,…
This Bitcoin strategy seeks long positions when several measures support an advancing trend. It scores a bullish stack of smoothed moving averages, their separation and slopes, path efficiency, momentum persistence, volatility conditions, breakout strength,…
This strategy describes a short-only approach for DOT perpetual futures. It opens a base position when a 3-minute RSI with a length of 9 crosses down through 80, treating the move as a possible end to overbought momentum. If price rises after entry, it can…
This crypto-oriented strategy enters long or short positions when the chart timeframe’s SuperTrend changes direction, provided Bollinger Band Width is above its own moving average. The width is calculated from Bollinger Bands relative to their basis and…