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This strategy combines RSI readings from multiple timeframes using logarithmic weights, then looks for agreement between the slope of the weighted RSI and its smoothed average. It adds a second confirmation based on changes in those slopes, intended to…
This trend-following system combines price crossings of a 50-period exponential moving average with the relative position of the 50- and 200-period averages. It also checks whether positive or negative directional movement supports the trade, and restricts…
This strategy combines a 123 reversal pattern with a smoothed Williams Accumulation/Distribution (A/D) signal. The first component checks recent closing-price relationships and confirms potential reversals with a stochastic oscillator. The second compares…
This trend-following strategy compares price with a short exponential moving average and that average with a longer one. Its example uses periods of 5 and 21, applying each EMA twice. When price is above the short average and the short average is above the…
This strategy builds support and resistance zones from pivot highs and lows, then looks for closing prices that cross a zone boundary. Zone strength combines the count of pivots in the area with the number of price touches; qualifying zones are ranked and…
This strategy uses 14-period and 28-period simple moving averages. A cross above the longer average starts a long position; a cross below it can close positions, subject to a gain condition in the supplied source. The source also includes an averaging…
This long-only trend-following system builds a channel from a simple moving average of highs and a separate simple moving average of lows. It enters after five consecutive bars remain above the upper average, exits after five consecutive bars fall below the…
This strategy compares the selected timeframe’s high and low with the previous bar’s close, adjusted by a point threshold. A move above the adjusted close triggers a long entry and closes a short; a move below it triggers a short entry and closes a long. The…
This NQ/MNQ strategy builds demand and supply zones from confirmed pivot lows and highs, padding each pivot by a configurable amount. It looks for price to reject a zone while also showing a bullish or bearish sweep of recent extremes, or a simpler attempt…
This strategy uses scheduled full and new moon timestamps as its primary trading signals. It checks whether the current time falls within a twelve-hour window of either phase. Near a full moon it opens a long position and closes the position associated with…
This NQ/MNQ strategy is presented as a counter-trend scalper intended to complement a separate trend-following system. Its stated signal families include fading overextension, delta divergence, liquidity-sweep traps, aggressive-flow fades, absorption at…
This swing strategy uses a doji candle as a setup for placing opposing stop orders near the candle’s high and low, with levels adjusted according to the prior candle’s range and body. The orders are linked so that one entry cancels the other. A doji is…
This grid strategy combines RSI readings from seven timeframes, ranging from very short intervals to daily bars, with limit orders spaced at fixed percentage increments. It generates a buy signal when all RSI readings fall below their configured upper…
This document describes a simple long-only moving-average crossover strategy for the S&P 500 index. It enters when the 50-day simple moving average crosses above the 200-day average, and exits when the shorter average falls below the longer one. The…
This strategy combines EMA trend direction, an ATR-based strength filter, and VWAP pullbacks to define entries and exits. It classifies direction with fast and slow exponential moving averages, then requires their separation to exceed an ATR-scaled threshold…
This strategy uses Stochastic RSI to time directional entries when momentum turns within overbought or oversold territory. It first calculates RSI, applies a stochastic calculation to those values, and smooths the result into K and D lines. A K-line…
This short-term long strategy enters when the close falls below the prior five-bar low, seeking a rebound after a sharp local decline. It exits at the close when a two-period RSI rises above 50, or uses a time-based exit after five bars if that profit-taking…
This strategy adapts LazyBear’s WaveTrend indicator to identify trends and generate long entries and exits. It smooths the average of high, low, and close prices, measures deviations from an exponential average, standardizes that difference, and smooths it…
This example builds a dashboard for several exchange connections. It launches ticker, candle-record, and trade requests asynchronously for each exchange, stores the latest and previous responses, and refreshes a table with bid, ask, last price, and request…
This document describes a trend strategy that uses fast, medium, and slow exponential moving averages (EMAs) to switch between long and short positions. The stated setup treats crosses and changes in EMA slope as evidence of direction, with price crossing…
This strategy compares a selected trigger price with a simple moving average calculated from a chosen price source and resolution. A trigger above the average sets a long state, while one below it sets a short state; entries occur when that state changes.…
This trend-following strategy uses 50-, 100-, and 200-period simple moving averages. It enters long when the fast average crosses above the medium average while price is at or above the slow average; the corresponding downward crossover with price at or…
This strategy uses two separate moving-average signal systems. A short and long simple moving average crossover supplies directional entries, while price crossing a TRAMA line can trigger additional long or short entries. The document describes the SMA…
This document describes an AI-assisted workflow that turns natural-language crypto factor ideas into computed signals and validation reports. A language model interprets the idea, generates a factor function, and assigns signal direction; the system then…