TradeStaq Strategies

Mean-reversion grid strategy that anchors buy and sell levels to Bollinger Bands. The grid automatically widens during volatile periods and tightens during calm periods as Bollinger Bands expand and contract with realized volatility. Buy orders are placed in the lower half of the band range (statistically oversold) and sell orders in the upper half (overbought), with take-profit targets aiming for mean reversion to the SMA middle line. A three-tier regime detection system (Active, Cautious, Paused) protects against trending markets using ADX and band width analysis. Entry quality is enhanced with optional RSI confirmation filtering.

Volatility breakout strategy that catches directional moves when price crosses EMA with ATR-adaptive stop loss and take profit. Features breakout confirmation candles to filter fakeouts, optional ADX and volume filters, trailing stops, and zone-aware entry blocking near opposing S/R levels.

Hybrid strategy that combines dollar-cost averaging (DCA) entries with mini-grid trading around each fill. Instead of just buying dips and passively waiting for recovery, each DCA entry spawns a small localized grid that actively trades the price range around that entry, generating grid income that reduces the effective cost basis while the position builds. Operates in four phases: Entry (RSI oversold + price below EMA), Safety Orders (scaled limit buys at deeper dips), Mini-Grid Operation (local buy/sell grids around each fill), and Exit (global TP/SL with full teardown). Inspired by Gainium Combo Bot architecture, demonstrating 20-30% better average entries than lump-sum buying during bear markets.

Mean reversion strategy that fades the crowd at extremes. Uses RSI x SMA(RSI) crossovers while RSI is in oversold/overbought zones, with asymmetric zone widths set by 1H EMA(200) trend direction — wider zones for with-trend entries, narrower for counter-trend. ATR-based risk management with trailing stops and breakeven.

Adaptive grid trading strategy that dynamically adjusts to market conditions. Places a grid of buy orders below and sell orders above a calculated center price, profiting from price oscillations within the grid range. Detects the current market regime (ranging, trending up/down, or high volatility) and adapts grid spacing, center bias, and position sizing accordingly. Grid spacing is ATR-based and automatically adjusts to current volatility. Includes margin ratio gating, max filled level limits, trailing stops on accumulated positions, and emergency close for when price breaks the grid boundary.

Geometric (percentage-based) grid trading strategy designed for long-term operation on assets with bullish bias. Unlike arithmetic grids that use fixed dollar spacing, InfinityGrid uses percentage spacing so each completed grid cycle captures the same percentage return regardless of current price level. The grid has a configurable lower bound (capital protection floor) but no upper bound, continuing to generate sell orders at higher price levels indefinitely. Grid recycling creates an infinite buy-sell cycle: when a buy fills, a sell is placed one level up, and vice versa. Each completed cycle captures GRID_PERCENT% profit minus fees. State management uses a sliding window of active levels around current price, preventing state bloat while maintaining the infinite grid illusion. Optional profit compounding reinvests a portion of grid profits into larger level sizes.

Trend-following strategy using the Supertrend indicator for direction and the Supertrend value as dynamic stop loss. Enters on Supertrend direction flips — catches faster trend changes than EMA alignment. Features optional EMA 50 confirmation, ADX and volume filters, ATR-based trailing, and zone-aware entry blocking.

Pure trend-following strategy using triple EMA alignment (9/21/55). Enters only when all 3 EMAs align in order — a high-conviction signal used by institutional swing traders. Features EMA-based adaptive stop loss using EMA 55, optional ADX trend strength gate, trailing stops, and zone-aware entry blocking.

Mean reversion strategy that fades the crowd at extremes. Uses RSI x SMA(RSI) crossovers while RSI is in oversold/overbought zones, with asymmetric zone widths set by 1H EMA(200) trend direction — wider zones for with-trend entries, narrower for counter-trend. ATR-based risk management with trailing stops and breakeven.

Mean reversion on a hyper-volatile meme coin: when RSI hits an extreme, price has usually overshot and snaps back toward the mean. FARTCOIN's 5-minute chop produces frequent RSI extremes, giving this classic oversold-buy / overbought-sell setup plenty of signals to work with.

Short-term price tends to continue in the direction of the freshest momentum burst when trend, volume, and structure all agree on the 5m chart. This strategy stacks independent confirmations so it only fires when multiple uncorrelated signals point the same way, filtering out the chop that kills most scalpers.

This strategy aims to profit from extreme positive funding rates on perpetual futures by taking a contrarian short position. It assumes that prolonged high funding indicates an overheated market ripe for a correction, especially when price is extended above a key support level. The trade is exited when the market corrects to that support or funding normalizes.

Elite DCA and scalping strategy with multi-timeframe zone detection, wick sniping, partial selling, and trailing stops. Uses Launchpad (support) and Firewall (resistance) zones across primary + 2 higher timeframes with configurable trend scoring to identify high-probability entries with precision.

Adaptive grid trading strategy that dynamically adjusts to market conditions. Places a grid of buy orders below and sell orders above a calculated center price, profiting from price oscillations within the grid range. Detects the current market regime (ranging, trending up/down, or high volatility) and adapts grid spacing, center bias, and position sizing accordingly. Grid spacing is ATR-based and automatically adjusts to current volatility. Includes margin ratio gating, max filled level limits,

This strategy aims to capture strong, confirmed momentum shifts late in the trading day. It waits for price to decisively align with key moving averages and exhibit significant candle body strength, indicating a high-conviction move, before entering on the next candle.

Multi-indicator DCA and scalping strategy with native S/R zones, MTF trend analysis, wick trading, trailing stops, and adaptive trade modes. Features 8-stage entry pipeline, range-based DCA counting, per-lot profit taking, and buy blocker diagnostics.

Multi-indicator DCA and scalping strategy with native S/R zones, MTF trend analysis, wick trading, trailing stops, and adaptive trade modes. Features 8-stage entry pipeline, range-based DCA counting, per-lot profit taking, and buy blocker diagnostics.

This strategy aims to capture rapid price surges in highly volatile meme coins by identifying strong bullish candles backed by high volume and trend strength, quickly entering and managing risk with tight stops and trailing profits.

Confluence-based scalping strategy that scores 5 indicators (MACD, EMA crossover, HTF Supertrend bias, Bollinger Band position, Volume spike) to generate a directional score (0-5). Enters trades when confluence meets threshold with RSI and zone filters. Features zone-aware trailing stops, dynamic stepped tightening, conditional stop loss with confluence confirmation, and time-based exit decay for stale trades.

Confluence-based scalping strategy that scores 5 indicators (MACD, EMA crossover, HTF Supertrend bias, Bollinger Band position, Volume spike) to generate a directional score (0-5). Enters trades when confluence meets threshold with RSI and zone filters. Features zone-aware trailing stops, dynamic stepped tightening, conditional stop loss with confluence confirmation, and time-based exit decay for stale trades.

This strategy aims to capture potential market movements or rebalancing opportunities by initiating a long position at a specific recurring time each week, leveraging the consistency of a timed entry.

Backtest this EXACT simple strategy. Do not redesign, overcomplicate, or add filters.**CORE:** CHEAP PROBE → EXPLOSION → MASSIVE SCALE-IN → TRAIL → EXIT → REPEAT.**Timeframe:** 15-minute.**Probe:** Buy when price breaks above the highest high of the previous 20 bars. Risk 0

Build an aggressive 5-minute crypto directional trading strategy. The PRIMARY objective is to maximize ROBUST OUT-OF-SAMPLE WIN RATE for predicting whether the next 5-minute price movement will be UP or DOWN.Use real historical market data available in the platform. Do not assu