Skip to main content
Latest Crypto Fear & Greed Index


Improved Pine Script: EMA RSI Momentum

This pine script is the improved version of previous script. Check here. The strategy mainly the same, except it now has StopLoss function, so you sleep soundly knowing your capital is protected. 

It also includes Start and Stop timestamp. It can be useful to backtest the strategy at a shorter/specific period of time.

Strategy Technical Description: It place Buy order when price crosses up EMA line and RSI is above BUY threshold. It exits when the RSI reaches SELL threshold. The recent swing low acts as StopLoss level.


Recommended setting:

Pair: IOUSDT (Binance)

Timeframe: 5 minutes

Capital in wallet: Minimum 30 USDT


//@version=5
strategy("EMA-RSI strategy[www.capayam.com]", overlay=false, initial_capital = 10, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.1)

// The default setting is for IOUSDT (Binance TF5)

// Adjustable Inputs
emaLength = input.int(540, title="EMA Length")
rsiLength = input.int(14, title="RSI Length")
rsiOverboughtLevel = input.int(78, title="RSI Sell Threshold")
rsiOversoldLevel = input.int(57, title="RSI Buy Threshold")
swingLowLookback = input.int(21, title="Recent Swing Low (StopLoss)")

show_time = input(true, title="---Start Stop (Optional)---")
start_year = input(2022, title="Start Year")
start_month = input(1, title="Start Month (1-12)")
start_day = input(1, title="Start Day (1-31)")
stop_year = input(2026, title="Stop Year")
stop_month = input(12, title="Stop Month (1-12)")
stop_day = input(31, title="Stop Day (1-31)")

// Create timestamps from the input dates
start_trading_date = timestamp(start_year, start_month, start_day, 0, 0)
stop_trading_date = timestamp(stop_year, stop_month, stop_day, 23, 59)


// Define the EMAs
ema = ta.ema(close, emaLength)

// Define the RSI
rsi = ta.rsi(close, rsiLength)

// Buy Condition: Price crosses above Long EMA and RSI buy Threshold
BuySignal = ta.crossover(close, ema) and rsi > rsiOversoldLevel and (time >= start_trading_date) and (time <= stop_trading_date)
SellSignal = rsi > rsiOverboughtLevel


// Define the stop loss at the recent swing low
recentSwingLow = ta.lowest(low, swingLowLookback)
stopLoss = recentSwingLow

// Plot the EMAs
plot(ema, color=color.green, title="EMA Long")

// Plot the RSI
hline(rsiOverboughtLevel, "Overbought", color=color.red)
hline(rsiOversoldLevel, "Oversold", color=color.green)
plot(rsi, title="RSI", color=color.purple)

position_size = (math.ceil((strategy.equity / close) * 1))/1

// Strategy entry with stop loss and take profit
if (BuySignal)
    strategy.entry("Buy", strategy.long, qty = position_size)
    strategy.exit("StopLoss", "Buy", stop=stopLoss)

if (SellSignal)
    strategy.close("Buy")
   



If you have other recommended stettings, please do share in the comment below.




Comments

Popular posts from this blog

New Pine Script Stratgey: Buy on Whale Signal

This strategy is adapted from an indicator Whale detector, which is thanks to BLACKCAT1404, the curator of the indicator.  Startegy Description: It places buy order when then whale detector bar reaches certain threshold level which you can adjust as well as the Take Profit and Stop Loss. Recommended Settings: Pair: BTCUSDT (Binance) Time frame: 7min Initial Capital: 10 Base Currency: Default Order Size: 10 USDT Pyramiding: 1 order Commission: 0.1 % Each pair of token has different threshold, suitable time frame, TP and SL. Aa a matter of fact, Even different CEX may produce result for the same coin. You have to test one by one to get the best result. Do share your best strategy setting in the comment.  *credit to  BLACKCAT1404     // @version= 4 strategy ( "WHALE pump signal [www.capayam.com, credit to Blackcat1404]" , overlay =false, commission_type = strategy.commission.percent , commission_value = 0.1 ) // Desc: Best setting ETH TF7min Thres 30 TP6 SL3 Scale1000 // Inp

New Script: VWAP strategy

This strategy uses VWAP with period 7. The success rate about 50%, and one huge drawback is the huge drawdown. I do not set up stop loss for this strategy. Strategy Description: It buys when the price crosses up VWAP line. Exit when EMA50 crosses down SMA100. Potential ROI Monthly (in bullish trend): 0-10% Recommended Settings: Pair: BTCUSDT, TIAUSDT Time frame: 5mins Initial Capital: 100 Base Currency: Default Order Size: 98% of equity Pyramiding: 1 order Commission: 0.1 % // @version= 4 strategy ( "VWAP+MA[www.capayam.com]" , overlay =true ) // Input for the VWAP period cumulativePeriod = input ( 7 , title = "VWAP Period" ) // Calculate VWAP typicalPrice = ( high + low + close ) / 3 typicalPriceVolume = typicalPrice * volume cumulativeTypicalPriceVolume = sum ( typicalPriceVolume , cumulativePeriod ) cumulativeVolume = sum ( volume , cumulativePeriod ) vwapValue = cumulativeTypicalPriceVolume / cumulativeVolume // Plot VWAP plot ( vwapValu

Comparison between 2 Smart Rebalance Bot

Smart rebalance is one of the kinda new features offered by many Centralized exchanger (CEX). And it has come to my liking during bull run u can cover many tokens than just run 1 single token with 1 bot. Because most tokens/coins price do not move parallel to each other, it will automatically buy at low, sell at high each coins in order to rebalance the proportion that you have preset.  But this strategy works best during bullrun. During bearish period, when all coins go down, u will still see decline of the portfolio worth. Usually i use this bot for coins that i have high convictions on them i would HODL them for long.  Here, I just wanna share smart rebalance bots from 2 different CEX. They are from Kucoin and BitGet. The following are the snapshots of the running bot after 60days. BitGet Smart Rebalance Bot Kucoin Smart Rebalance Bot I started out with Bitget first, then after several hours, i decided to make comparison with Kucoin. I ran them for two months.  I chose BTC, ETH, LIN