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.
5,196 documents
This strategy uses a higher-timeframe candle pattern to establish directional bias, then maps a swing on a lower timeframe and looks for an entry when price retraces to its 50% level. The documented model places a stop beyond the swing’s starting point and…
This intraday Nifty futures strategy builds an opening range from the 09:15–09:30 IST session window and considers entries after that range is locked. It allows a long when the close is above the range high or a short when it is below the range low, subject…
This short-term approach combines MACD and RSI information. Its explanation describes MACD line crossovers and histogram changes as signs of strengthening or weakening momentum, while RSI levels below 20 and above 80 mark oversold and overbought conditions.…
This strategy calculates the True Strength Index (TSI) by applying two exponential smoothing stages to price changes and to their absolute values. Dividing the smoothed signed changes by the smoothed absolute changes normalizes the result, so it reflects the…
This strategy combines ATR and RSI to select trades and manage exits. It treats ATR above its moving average as a high-volatility condition, then uses RSI thresholds to determine long or short direction. In the supplied parameters, an RSI entry offset is…
This trend strategy uses a Hull Moving Average (HMA) as its main entry indicator. The document describes long entries when price breaks above the HMA and short entries when it breaks below, with optional baseline and confirmation indicators intended to…
This partial strategy script seeks reversals around repeated highs or lows. It counts prior bars whose highs or lows fall within a configurable point tolerance of the current bar, then treats enough matches as equal-high or equal-low levels. Inputs control…
This strategy limits activity to the final 500 chart bars and uses internal position-state variables to alternate trade direction. With swing mode enabled, it opens a long or short position when flat, then switches to the opposite side after two bars in the…
This indicator identifies a possible consolidation range from recent highs and lows, then tracks whether the range persists. It uses a configurable lookback to locate candidate extremes and follows changes in direction to determine whether price remains…
The document presents a strategy that places a ladder of limit orders above and below a calculated baseline, with spacing determined by the average true range and a user multiplier. The source derives the baseline from recent price movement extremes, with a…
The script trades a spread between Dalian Commodity Exchange coke and coking coal futures. It estimates the spread from each contract's close, volume multiplier, and a fixed contract ratio, then calculates a z-score from a rolling set of daily observations.…
This BTC/USDT strategy uses a 20-period simple moving average with bands two standard deviations away. It opens long positions when price falls below the lower band by an adjustable point threshold and closes them after price rises above a separate threshold…
The narrative describes a trend-following method that enters long or short when price closes beyond a 20-day extreme, then filters entries unless price movement reaches a stated five-ATR threshold. It describes stops based on a two-N ATR distance from recent…
This strategy combines a WaveTrend oscillator with a ribbon of eight exponential moving averages. Long entries follow either a crossover of the second and eighth EMAs or a faster bullish EMA crossover unless a bearish combined signal is present. Short…
This strategy combines Keltner Channel levels with CCI and RSI conditions, a volume test, and an optional moving-average trend filter. A long setup requires price to reach below the lower channel alongside oversold readings from CCI and RSI; a short setup…
This strategy smooths an RSI series with local polynomial regression and uses the fitted curve’s first derivative, called Delta-RSI, as a momentum signal. Traders can enter when Delta-RSI crosses zero, crosses its EMA signal line, or changes direction. Long…
This trend-following method combines a fast and a slow moving average, with example periods of 10 and 30. It classifies each average by whether it is rising or falling compared with the previous bar. When both point upward, the strategy adopts a long bias;…
This strategy seeks potential turning points by counting sustained price moves relative to closes several bars earlier. It uses separate bullish and bearish counts and displays signals at three thresholds: 9, 12, and 14. The strategy enters in the direction…
This short-term strategy uses a 20-period simple moving average and bands set two standard deviations above and below it. It goes long when the close crosses upward through the lower band and goes short when the close crosses downward through the upper band,…
This short-term strategy builds price bands around an EMA using ATR distances multiplied by configurable Fibonacci ratios. It offers several upper and lower thresholds, with entry conditions selected by choosing which prior-bar band the closing price must…
This strategy description combines an EMA50 direction filter with candle patterns and a retest condition. Long setups require price above the average, a bullish engulfing or pin-bar pattern, and a retest from below; short setups mirror these conditions below…
This trend-following strategy compares two adaptive averages: MAMA and its smoother companion, FAMA. The MAMA smoothing factor changes with the estimated phase difference, bounded by user-selected fast and slow limits; FAMA applies a further low-pass…
The strategy combines stochastic readings from the current chart period and a smoothed series intended to represent a three-times-longer period. It opens long when the higher-period K value crosses above the midpoint while current K is above D and the…
This strategy smooths log prices with a Nadaraya–Watson kernel regression and surrounds the estimate with volatility bands derived from ATR. The bands use near and far multipliers, while configurable regression and ATR settings control their behavior. The…