Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.
7,910 dokument
This strategy combines Bollinger Bands, RSI, volume, and band-width monitoring to identify both reversal-style entries and breakouts. It describes long entries when price crosses back above the lower band while RSI is oversold, and short entries when price…
The strategy builds an Impulse MACD from smoothed high, low, and typical-price series using several moving average forms. It compares the resulting MACD line with a signal line and uses their crossovers to trade: an upward cross opens a long position, and a…
This strategy compares aggregated bid and ask quantities across a configurable number of price levels. It monitors the imbalance repeatedly, and enters a long or short position when one side exceeds the other by a chosen ratio for the required consecutive…
This strategy uses a configurable set of eight exponential moving averages, spanning short to long periods, and trades the crossovers of adjacent enabled averages. A cross of a shorter EMA above a longer one opens a long position; a cross below closes it.…
This document describes a trend-following strategy that combines smoothed RSI-based QQE signals with moving average direction filters. It offers three signal types: the smoothed RSI crossing its midpoint, crossing the fast QQE line, or leaving a threshold…
This QuantConnect example trades ADAUSDT Binance coin futures on hourly data using a fast and slow EMA to choose long or short exposure. When the fast EMA is above the slow EMA, it attempts a long entry; when that condition reverses, it sells to reverse the…
This trend-following system uses a short and a long simple moving average, entering long when the shorter average crosses above the longer one and short on the reverse cross. Signals are accepted only during a user-defined UTC time window. The implementation…
This document describes a mean-reversion approach using a short-period Relative Strength Index (RSI). With a two-period RSI calculated from closing prices, it proposes short entries when RSI crosses into an extreme high zone and long entries when it crosses…
This is a long-only breakout strategy that combines the Average Directional Index (ADX) with a closing-price high. It checks whether price reaches the highest close from a lookback window while ADX is below a stated threshold, then enters during a specified…
This strategy combines Bollinger Bands with Parabolic SAR (PSAR) to generate long and short signals. It calculates a simple moving average as the middle band and places the upper and lower bands a multiple of standard deviation away. A close below the lower…
This document presents a workflow for processing exchange announcements with a language model instead of relying on hand-written regular expressions. Given announcement text, the function asks the model to decide whether it announces new spot trading pairs…
This strategy combines percentage bands around an exponential moving average with Bollinger Bands. The document describes trend entries when price crosses channel levels and counter-trend signals based on Bollinger Band interactions, with ATR-based stops.…
This document describes a medium- to long-term, long-only strategy intended for T+1 stock trading. It combines moving-average conditions, a short exponential moving average crossing a slope-based signal, volume confirmation, and a weekly trend filter.…
This strategy uses Stoch RSI threshold crossings to take directional positions, then manages exposure through pyramiding and per-entry stop logic. The stated rules calculate RSI and then Stoch RSI, enter long when the oscillator rises through the overbought…
This strategy calculates RSI using VWAP as its price source and treats threshold crossings as reversal entries: a move back above the oversold level triggers a long, while a move down through the overbought level triggers a short. It allows repeated entries…
This partial strategy script outlines a fractal-based trading system with configurable risk, exits, trading hours, and display options. It derives a daily directional bias from recent daily highs and lows: a middle low bounded by higher neighboring lows is…
The document presents a trend-following approach based on the Chaikin Oscillator, formed from the difference between fast and slow exponential moving averages of an accumulation and distribution measure. That measure weights price location within the bar’s…
This visual strategy example monitors the price difference between OKEX’s current-week and quarterly futures contracts. It selects each contract, repeatedly fetches their ticker data, skips an iteration if either ticker is unavailable, then subtracts the…
This document describes a software wrapper for placing take-profit and stop-loss orders on futures contracts through exchange-specific APIs. It routes requests to separate implementations for OKX, Huobi, and Binance, with handling for selected USDT-margined…
This indicator marks bullish and bearish engulfing patterns using the bodies of two consecutive candles. A bullish signal requires a prior down candle followed by an up candle whose close reaches at least the prior open; the bearish rule mirrors those…
This strategy combines price position relative to an exponential moving average (EMA), historical persistence above or below the EMA, relative volume, and average true range (ATR) to generate long and short trend signals. It enters only when more than half…
This QuantConnect example shows how to prepare indicators for securities that enter a dynamic universe. In a coarse fundamental selector, it creates or retrieves a 100-day simple moving average for each symbol and warms it with daily history before updating…
The visible portion of this strategy describes a trend system built around confirmed pivot highs and lows, termed fractals, and a smoothed price reference called the Alligator teeth. It stores the latest fractal levels and activates an upside or downside…
This strategy extends Bollinger Bands with two types of entries. Trend entries use candle direction and the price's position relative to the middle band, while counter-trend entries buy at or below the lower band and sell at or above the upper band. The…