🧩Sample Trading Strategies

This section presents reference strategies demonstrating common trading patterns. These examples are intended as learning tools and starting points rather than ready-to-use trading systems.

The strategies below illustrate common trading patterns. Each example highlights a specific idea or combination of indicators and is intended to help you understand how strategies are structured and composed.

1. Spot grid trading bot

2. DCA

3. Spot Martingale

4. Rebalancing BOT

5. TWAP

6. Infinity Grid

7. looping

8. trend follow

memejob LUA strategies, intro:

All strategies:

• Are stateless

• Script runs once per bar

• Use only supported syntax and indicators

• Express intent exclusively via return values

Return values:

return 1   -- Buy / Long / Add (DCA)
return -1  -- Exit or Short (engine-defined)
return 0   -- Hold

Each example below focuses on a specific concept such as trend detection, momentum confirmation, mean reversion, or volume filtering. You are encouraged to adapt parameters, combine patterns, and test variations rather than using examples verbatim.

---

Each example focuses on a specific concept such as trend detection, momentum confirmation, mean reversion, or volume filtering. You are encouraged to adapt parameters, combine patterns, and test variations rather than using examples verbatim.

1. Price Above SMA (Trend Baseline)

Logic: Buy above SMA, exit below.

local s20 = sma(20)

if close > s20 then
    return 1
elseif close < s20 then
    return -1
end

return 0

Visual intuition:

Price  ──────╮  Buy
SMA    ──────┼──────
Price  ──────╯  Exit

---

2. EMA Fast / Slow Crossover

local e6  = ema(6)
local e21 = ema(21)

if e6 > e21 then
    return 1
elseif e6 < e21 then
    return -1
end

return 0

Visual:

EMA6   ╭──────╮
EMA21  ─╯──────╯

---

3. Triple EMA Trend Filter

local e3  = ema(3)
local e6  = ema(6)
local e21 = ema(21)

if e3 > e6 and e6 > e21 then
    return 1
elseif e3 < e6 then
    return -1
end

return 0

Visual:

EMA3   ╭────
EMA6   ├────
EMA21  └────

---

4. Pullback to EMA (DCA-Friendly)

local e6  = ema(6)
local e21 = ema(21)

if close > e21 and close < e6 then
    return 1
elseif close < e21 then
    return -1
end

return 0

---

5. EMA Momentum DCA

local e9 = ema(9)

if close > e9 then
    return 1
elseif close < e9 then
    return -1
end

return 0

Visual:

Price ↑  → Add
Price ↓  → Exit

---

6. Price Momentum (Bar-to-Bar)

if close > close[1] then
    return 1
elseif close < close[1] then
    return -1
end

return 0

---

7. SMA Slope Confirmation

local s20 = sma(20)

if s20 > s20[1] then
    return 1
elseif s20 < s20[1] then
    return -1
end

return 0

---

8. EMA Trend + Price Confirmation

local e21 = ema(21)

if close > e21 and close[1] > e21[1] then
    return 1
elseif close < e21 then
    return -1
end

return 0

---

9. HLC3 Trend Strategy

local e14 = ema(14)

if hlc3 > e14 then
    return 1
elseif hlc3 < e14 then
    return -1
end

return 0

---

10. WMA Trend Strategy

local w20 = wma(20)

if close > w20 then
    return 1
elseif close < w20 then
    return -1
end

return 0

---

11. EMA Compression Breakout

local e6  = ema(6)
local e9  = ema(9)
local e21 = ema(21)

if e6 > e9 and e9 > e21 then
    return 1
elseif e6 < e9 then
    return -1
end

return 0

---

12. Price vs Previous High

if close > high[1] then
    return 1
elseif close < low[1] then
    return -1
end

return 0

---

13. SMA Mean Reversion (Simple)

local s50 = sma(50)

if close < s50 then
    return 1
elseif close > s50 then
    return -1
end

return 0

---

14. EMA Acceleration

local e6 = ema(6)

if e6 > e6[1] then
    return 1
elseif e6 < e6[1] then
    return -1
end

return 0

---

15. Dual-Timeframe Proxy (Fast vs Slow SMA)

local s10 = sma(10)
local s30 = sma(30)

if s10 > s30 then
    return 1
elseif s10 < s30 then
    return -1
end

return 0

Note: As new indicators and primitives are added, this page will expand with advanced variants of each pattern.

1. The "Golden Cross" (Classic Trend Following)

The "Hello World" of trading bots.

It captures massive moves by entering when short-term momentum overtakes long-term trends.

• Logic:

  • Buy when the fast MA (e.g., 50) crosses above the slow MA (e.g., 200).

  • Sell when it crosses below.

-- Strategy: Golden Cross
-- Timeframe: 1h (recommended)

local fast_ma = sma(50, "1h")   -- Short-term trend
local slow_ma = sma(200, "1h")  -- Long-term trend

-- We use history to detect the exact moment of the "Cross"
-- If current fast > slow AND previous fast < previous slow, that's a crossover.
-- Note: This requires your sma() to return a value, but ideally, we need historical sma values.
-- If your API doesn't support sma(50)[1], we check price relation instead:

if fast_ma > slow_ma and close > fast_ma then
    print("Bullish Trend Active: Buy/Hold")
elseif fast_ma < slow_ma then
    print("Bearish Trend: Sell/Avoid")
end

1'. Golden Cross / Death Cross

Following long-term trend following using two SMAs

2. The "MACD Zero-Cross" Momentum

A faster strategy than moving averages, good for swing trading volatile assets.

• Logic: If the MACD line crosses above 0, momentum has shifted from bearish to bullish.

-- Strategy: MACD Zero-Cross
-- Timeframe: 15m

local macd_val = macd(12, 26, "15m") -- Standard settings

-- Positive value means fast EMA > slow EMA (Bullish momentum)
if macd_val > 0 then
    -- Check if volume supports the move to avoid fakeouts
    if volume > volume[1] then
       print("Buy Signal: Positive Momentum with Volume")
    end
elseif macd_val < 0 then
    print("Sell Signal: Negative Momentum")
end

3. Volume Breakout (Fakeout Detector)

Crypto prices often jump without volume ("fake pumps"). This strategy only buys if the price increases and volume spikes significantly.

• Logic: Buy if Price > EMA(20) AND Current Volume > 2x Previous Volume.

-- Strategy: Volume Breakout
-- Timeframe: 5m (Scalping)

local trend_line = ema(20, "5m")
local vol_spike_threshold = 2.0 -- Volume must be 2x the previous bar

if close > trend_line then
    if volume > (volume[1] * vol_spike_threshold) then
        print("BREAKOUT DETECTED: High volume buy signal")
    end
end

4. The "AI Sentiment Analyst"

This uses your complete() function. This is your "killer feature" that standard algo-tools don't have. You feed technical data to the LLM and let it decide.

Lua

-- Strategy: AI-Agent Decision
-- Timeframe: 1h

-- 1. Gather Data
local fast = ema(9)
local slow = ema(21)
local current_macd = macd()
local price_action = "Price is " .. close .. ". Fast EMA is " .. fast .. ". MACD is " .. current_macd

-- 2. Construct Prompt
local prompt = "You are a crypto trader. " .. price_action .. 
               ". If Fast EMA > Slow EMA and MACD is positive, say BUY. Otherwise say SELL."

-- 3. Ask AI
local decision = complete(prompt)
print("AI Agent Recommendation: " .. decision)

Recommendation

9. Canonical Safe Strategy Template

local e3  = ema(3)
local e6  = ema(6)
local e21 = ema(21)

if e3 > e6 and e6 > e21 then
    return 1
end

if e3 < e6 then
    return -1
end

return 0

spot martingale

-- ============================================================================ -- STRATEGY 1: Golden Cross / Death Cross -- Classic long-term trend following using two SMAs -- ============================================================================ function strategy_golden_cross() local sma_short = sma(50, "1d") -- 50-day SMA local sma_long = sma(200, "1d") -- 200-day SMA local prev_sma_short = sma(50, "1d", 1) -- Previous period local prev_sma_long = sma(200, "1d", 1)

-- Golden Cross: Short crosses above Long (Bullish)
if prev_sma_short <= prev_sma_long and sma_short > sma_long then
    return "BUY", "Golden Cross detected"
end

-- Death Cross: Short crosses below Long (Bearish)
if prev_sma_short >= prev_sma_long and sma_short < sma_long then
    return "SELL", "Death Cross detected"
end

return "HOLD", "No signal"

end

-- ============================================================================ -- STRATEGY 2: EMA Crossover (Fast Trading) -- Quick trend changes using two EMAs -- ============================================================================ function strategy_ema_crossover() local ema_fast = ema(9, "15m") -- 9-period EMA on 15min local ema_slow = ema(21, "15m") -- 21-period EMA on 15min local prev_ema_fast = ema(9, "15m", 1) local prev_ema_slow = ema(21, "15m", 1)

-- Fast EMA crosses above Slow EMA (Bullish)
if prev_ema_fast <= prev_ema_slow and ema_fast > ema_slow then
    return "BUY", "Fast EMA crossed above Slow EMA"
end

-- Fast EMA crosses below Slow EMA (Bearish)
if prev_ema_fast >= prev_ema_slow and ema_fast < ema_slow then
    return "SELL", "Fast EMA crossed below Slow EMA"
end

return "HOLD", "No crossover"

end

-- ============================================================================ -- STRATEGY 3: MACD Zero Line Cross -- Trade when MACD crosses above/below zero -- ============================================================================ function strategy_macd_zero_cross() local macd_current = macd(12, 26, "1h") -- 1-hour MACD local macd_prev = macd(12, 26, "1h", 1)

-- MACD crosses above zero (Bullish momentum)
if macd_prev <= 0 and macd_current > 0 then
    return "BUY", "MACD crossed above zero"
end

-- MACD crosses below zero (Bearish momentum)
if macd_prev >= 0 and macd_current < 0 then
    return "SELL", "MACD crossed below zero"
end

return "HOLD", "MACD neutral"

end

-- ============================================================================ -- STRATEGY 4: Triple EMA Trend -- Uses three EMAs to confirm strong trends -- ============================================================================ function strategy_triple_ema() local ema_short = ema(8, "1h") local ema_mid = ema(21, "1h") local ema_long = ema(55, "1h")

-- Strong bullish: All EMAs aligned upward
if ema_short > ema_mid and ema_mid > ema_long and close > ema_short then
    return "BUY", "Triple EMA bullish alignment"
end

-- Strong bearish: All EMAs aligned downward
if ema_short < ema_mid and ema_mid < ema_long and close < ema_short then
    return "SELL", "Triple EMA bearish alignment"
end

return "HOLD", "No clear trend"

end

-- ============================================================================ -- STRATEGY 5: Price Above/Below Moving Average -- Simple trend following with price position -- ============================================================================ function strategy_price_ma_position() local sma_20 = sma(20, "4h") -- 20-period SMA on 4-hour local prev_close = close[1]

-- Price crosses above MA (Bullish)
if prev_close <= sma_20 and close > sma_20 then
    return "BUY", "Price broke above SMA(20)"
end

-- Price crosses below MA (Bearish)
if prev_close >= sma_20 and close < sma_20 then
    return "SELL", "Price broke below SMA(20)"
end

return "HOLD", "No cross"

end

-- ============================================================================ -- STRATEGY 6: MACD Histogram Divergence -- Detects momentum changes via MACD direction -- ============================================================================ function strategy_macd_momentum() local macd_curr = macd(12, 26, "30m") local macd_prev_1 = macd(12, 26, "30m", 1) local macd_prev_2 = macd(12, 26, "30m", 2)

-- MACD rising for 2 periods (Bullish momentum)
if macd_prev_2 < macd_prev_1 and macd_prev_1 < macd_curr and macd_curr > 0 then
    return "BUY", "MACD momentum increasing"
end

-- MACD falling for 2 periods (Bearish momentum)
if macd_prev_2 > macd_prev_1 and macd_prev_1 > macd_curr and macd_curr < 0 then
    return "SELL", "MACD momentum decreasing"
end

return "HOLD", "No momentum signal"

end

-- ============================================================================ -- STRATEGY 7: WMA Trend Strength -- Uses WMA's emphasis on recent prices -- ============================================================================ function strategy_wma_trend() local wma_10 = wma(10, "1h", 10) local wma_30 = wma(30, "1h", 30) local prev_wma_10 = wma(10, "1h", 10, 1) local prev_wma_30 = wma(30, "1h", 30, 1)

-- WMA crossover (Bullish)
if prev_wma_10 <= prev_wma_30 and wma_10 > wma_30 then
    return "BUY", "WMA(10) crossed above WMA(30)"
end

-- WMA crossunder (Bearish)
if prev_wma_10 >= prev_wma_30 and wma_10 < wma_30 then
    return "SELL", "WMA(10) crossed below WMA(30)"
end

return "HOLD", "No WMA signal"

end

-- ============================================================================ -- STRATEGY 8: Volume-Weighted Breakout -- Combines price action with volume confirmation -- ============================================================================ function strategy_volume_breakout() local sma_price = sma(20, "1h") local avg_volume = sma(20, "1h") -- SMA of volume

-- Bullish breakout with volume confirmation
if close > sma_price and close > high[1] and volume > avg_volume * 1.5 then
    return "BUY", "Volume-confirmed breakout above SMA"
end

-- Bearish breakdown with volume confirmation
if close < sma_price and close < low[1] and volume > avg_volume * 1.5 then
    return "SELL", "Volume-confirmed breakdown below SMA"
end

return "HOLD", "No volume breakout"

end

-- ============================================================================ -- STRATEGY 9: Multi-Timeframe EMA -- Confirms trend across multiple timeframes -- ============================================================================ function strategy_multi_timeframe() local ema_15m = ema(20, "15m") local ema_1h = ema(20, "1h") local ema_4h = ema(20, "4h")

-- All timeframes bullish
if close > ema_15m and close > ema_1h and close > ema_4h then
    return "BUY", "Multi-timeframe bullish alignment"
end

-- All timeframes bearish
if close < ema_15m and close < ema_1h and close < ema_4h then
    return "SELL", "Multi-timeframe bearish alignment"
end

return "HOLD", "Mixed timeframe signals"

end

-- ============================================================================ -- STRATEGY 10: Mean Reversion with Bollinger-style Logic -- Uses SMA distance to detect oversold/overbought -- ============================================================================ function strategy_mean_reversion() local sma_20 = sma(20, "1h") local price_distance = ((close - sma_20) / sma_20) * 100 -- % distance

-- Price extended below MA (Oversold - potential bounce)
if price_distance < -3 and close > close[1] then
    return "BUY", "Oversold - potential mean reversion"
end

-- Price extended above MA (Overbought - potential pullback)
if price_distance > 3 and close < close[1] then
    return "SELL", "Overbought - potential mean reversion"
end

return "HOLD", "Price near mean"

end

-- ============================================================================ -- USAGE EXAMPLE -- ============================================================================ --[[ To use these strategies, call them in your main strategy logic:

local signal, reason = strategy_golden_cross()

if signal == "BUY" then
    -- Execute buy order
    log(reason)
elseif signal == "SELL" then
    -- Execute sell order
    log(reason)
end

]]