Stratmill tyrimų agento parengtos knygų, straipsnių, mokslinių darbų ir kodo, kuriuos skaito mūsų DI agentai, santraukos ir pagrindinės mintys. Kiekviename puslapyje pateikiama nuoroda į originalą.
7,910 dokumentų
This strategy combines MACD crossovers, RSI thresholds, and the relationship between 50-day and 200-day simple moving averages to identify long and short entries. It uses the ATR to set volatility-adjusted exits: a stop at twice ATR and a profit target at…
This short-term reversal approach combines a two-period RSI with five- and 200-period simple moving averages. It seeks a long entry when price is above the long average but below the short average and RSI is deeply oversold. The short setup mirrors this…
This strategy combines moving averages with unusually large candle moves to seek reversals. The document describes using moving averages to frame trend direction and custom “black swan” and “white swan” measures to flag large bearish or bullish candles. A…
This strategy uses ZigZag turning points to track price direction. It opens a long position when a turn establishes a new high and a short position when a turn establishes a new low, then exits when the indicator reverses again. The accompanying source uses…
The document describes a bot for 15-minute Polymarket BTC Up/Down contracts. It monitors both asks for a sharp fall in either side, then submits buy orders for that side and its opposite. The target is to keep the combined purchase cost below one USDC, so a…
This stock strategy combines the AR sentiment indicator with moving averages. AR compares the sum of each session’s high minus open with the sum of open minus low over a chosen lookback; the text gives 26 sessions as a typical setting. It interprets readings…
This strategy combines 20-period Bollinger Bands with recent support and resistance levels to generate long and short signals. The described rules look for a close beyond the relevant band and a further move beyond a nearby support or resistance threshold.…
This strategy uses a fast and slow exponential moving average crossover to generate long and short entries. The supplied defaults are a 20-period fast EMA and a 50-period slow EMA. Position quantity is fixed, while a percentage input is used in calculations…
This long-only approach combines pivot levels with a least-squares moving average (LSMA) filter. It looks for a pivot high formed using recent bars and places a long entry when price is above a 20-period LSMA; a later pivot low supplies the stated exit…
The strategy combines a moving average direction filter with entries tied to Bollinger Bands. It uses a short simple moving average relative to a longer one to choose long or short direction, then looks for price to cross the lower band for entries. The…
This strategy combines an EMA trend filter with RSI momentum signals, volume confirmation, and optional MACD and Bollinger Band width filters. It enters in the direction of the EMA trend when RSI is in a middle range and volume is above its recent average.…
This strategy calculates a trailing stop from average true range and a selected price source, then compares a configurable moving average with that stop to generate entry signals. A crossover above the stop supports a long entry, while a crossover below…
This strategy combines three exponential moving averages with RSI to define long entries and exits. The described entry requires price to move above the fast, medium, and slow averages while RSI is between a medium threshold and the overbought level.…
This document describes a channel breakout trend strategy using separate lookback periods for entries and exits. The stated defaults are 20 periods for the entry channel and 10 for the exit channel. A break above the entry channel signals a long trade, while…
This long-only strategy combines a multi-pole Gaussian filter with a channel whose width follows filtered true range, plus Stochastic RSI. The filter is calculated from average high, low, and close prices; optional settings aim to reduce lag or increase…
This strategy uses a moving average and a volatility band built from twice the average true range to classify the market as rising or falling. It switches to an uptrend when the low moves above the upper threshold and to a downtrend when the high falls below…
This strategy combines confirmed pivot highs and lows with SuperTrend direction. A long stop entry is placed just above a detected pivot high when the SuperTrend direction permits longs; a short stop entry is placed just below a pivot low when direction…
This strategy combines EMA trend direction, MACD crossovers, and RSI thresholds to identify long and short entries. It uses 20- and 50-period EMAs to define the prevailing direction, a shorter MACD configuration to spot potential turns, and RSI boundaries of…
This intraday strategy combines MACD crossovers, RSI thresholds, and a 50-period versus 200-period simple moving average trend filter. A bullish MACD crossover can trigger a long when RSI is below its overbought threshold and the shorter average is above the…
This trend strategy combines fast, medium, and slow Supertrend indicators to create up to three long entries. Its described setups use the indicators’ directions for an initial entry, a later stop entry around the faster Supertrend, and another entry after…
This short-only setup uses Bollinger Bands and RSI to look for a reversal after price reaches the upper band. The written rules describe waiting for price to cross back below the upper band in an overbought area, then closing when RSI retreats or a stop is…
This model describes a seasonal approach to selling agricultural commodity futures, originally presented by Perry J. Kaufman to commodity producers. Its premise is that prices for crops with one annual harvest may tend to be weakest around harvest and…
This example shows how to collect decentralized exchange quotes through an AMM gateway data feed. Users configure a network, a base order amount, and up to three trading pairs; the network’s configured swap provider determines which DEX supplies the quotes.…
This backtest script calculates an Awesome Oscillator variant by subtracting a slower simple moving average of the midpoint price from a faster one, then subtracting a further smoothed value. It plots the resulting oscillator as a histogram and classifies…