blackcat L1 MartinGale Scalping Strategy
MartinGale(The Martingale strategy is a popular money management strategy commonly used in trading. It is often used when traders seek to recover by increasing their position size after each loss. Therefore…
MartinGale(The Martingale strategy is a popular money management strategy commonly used in trading. It is often used when traders seek to recover by increasing their position size after each loss. Therefore, MartinGale does not refer to a specific strategy, but a general term for a type of strategies to cover and increase positions.
In the MartinGale strategy, the trader doubles the position size after each losing trade. The idea is to eventually have a winning trade that will recover the previous losses and generate a profit.
MartinGaleThe idea behind the strategy is to exploit the law of averages. By increasing the position size after each loss, the strategy assumes that a winning trade will eventually occur, which will not only cover the previous losses but also generate profits. This may be particularly attractive for traders looking to recover quickly from losses.
However, it should be noted that there are significant risks in the MartinGale strategy. This strategy can result in huge losses if the trader goes through a sustained losing phase or lacks sufficient capital. This strategy relies on the assumption that profitable trades will occur within a certain time frame, which is dangerous because there is no guarantee that a profitable trade will occur within a specific time frame. Traders considering implementing a MartinGale strategy should carefully evaluate their risk tolerance and be fully aware of the potential drawbacks. It is important to establish a solid risk management plan to mitigate potential losses. Additionally, traders should be aware that this strategy may not work in all market conditions and may need to be adjusted based on market fluctuations.
To summarize, the MartinGale strategy is a money management strategy that involves increasing the position size after each loss in an attempt to recover from the losing phase. While it can offer the potential for rapid recovery, there are significant risks that traders should consider carefully before implementing this trading method.
Although I don't really agree with this trading view, someone sent a private message and asked me to talk about this topic, so I wrote a simple 38-line framework for short-term purposes.MartinGale.
MartinGaleThe scalping strategy is a trading strategy that generates profits through frequent transactions. It uses moving average crossovers to generate entry and exit signals. The strategy is implemented using TradingView's Pine scripting language.
The strategy first defines input variables such as take profit and stop loss levels, as well as the trading mode (long, short, or two-way). It then sets a rule that only allows entries if the trading mode is set to "Long".
The strategy logic uses crossover signals and crossover signals of the Simple Moving Average (SMA) definition. It calculates the short-term SMA (SMA3) and the long-term SMA (SMA8) and plots them on the chart. The crossoverSignal and crossunderSignal variables are used to track the occurrence of crossover and crossover events, while the crossoverState and crossunderState variables determine the status of crossover and crossover conditions.
Strategy execution is based on current position size. If the position size is zero (no position), the strategy checks for crossover and crossover events. A long position will be entered if a crossover event occurs and the trading pattern allows long entries. The entry price, stop loss price, take profit price and stop loss price are calculated based on the current closing price and the SMA8 value. Similarly, if a crossover event occurs and the trading pattern allows a short entry, a short position will be entered and the corresponding price calculation will be performed. If a long position exists and the current closing price reaches the take profit price or stop loss price, and a crossover event occurs, the long position will be closed. Entry Price, Stop Loss Price, Take Profit Price and Stop Loss Price will be reset to zero.
Likewise, if a short position exists and the current closing price reaches the take profit price or the stop loss price, and a crossover event occurs, the short position is closed and the price variables are reset.
This strategy also uses the plotshape function to plot entry and exit points on the chart. It shows an upward-pointing triangle for a buy entry, a downward-pointing triangle for a buy exit, a downward-pointing triangle for a sell entry, and an upward-pointing triangle for a sell exit.
Overall, the MartinGale head-shaving strategy is designed to capture small profits by taking advantage of crossovers of short-term moving averages. It enables risk management through take-profit and stop-loss levels and allows for different trading modes to suit different market conditions.
Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_1 | 1.03 | Take Profit |
| v_input_2 | 0.95 | Stop Loss |
| v_input_string_1 | 0 | Trading Mode: Long | Short | BiDir |
Source Pine Script
//@version=5
strategy('[blackcat] L1 MartinGale Scalping Strategy', overlay=true, pyramiding = 5)
// Define input variables
// martingaleMultiplier = input(2, title="Multiplier")
takeProfit = input(1.03, title='Take Profit')
stopLoss = input(0.95, title='Stop Loss')
inputTradingMode = input.string(defval='Long', options=['Long', 'Short', 'BiDir'], title='Trading Mode')
//The purpose of this rule is to forbid short entries, only long etries will be placed. The rule affects the following function: 'entry'.
strategy.risk.allow_entry_in(inputTradingMode == 'Long' ? strategy.direction.long : inputTradingMode == 'Short' ? strategy.direction.short : strategy.direction.all)
// Define strategy logic
entryPrice = 0.0
stopPrice = 0.0
takeProfitPrice = 0.0
stopLossPrice = 0.0
// Define SMA crossover and crossunder signals
sma3 = ta.sma(close, 3)
sma8 = ta.sma(close, 8)
plot(sma3, color=color.yellow)
plot(sma8, color=color.fuchsia)
crossoverSignal = ta.crossover(sma3, sma8)
crossunderSignal = ta.crossunder(sma3, sma8)
crossoverState = sma3 > sma8
crossunderState = sma3 < sma8
if strategy.position_size == 0
if crossoverState
strategy.entry('Buy',strategy.long)
entryPrice := close
stopPrice := close - stopLoss * sma8[1]
takeProfitPrice := close + takeProfit * sma8[1]
stopLossPrice := stopPrice
stopLossPrice
if crossunderState
strategy.entry('Sell', strategy.short)
entryPrice := close
stopPrice := close + stopLoss * sma8[1]
takeProfitPrice := close - takeProfit * sma8[1]
stopLossPrice := stopPrice
stopLossPrice
if strategy.position_size > 0
if (close > takeProfitPrice or close < stopLossPrice) and crossunderState
strategy.close('Buy')
entryPrice := 0.0
stopPrice := 0.0
takeProfitPrice := 0.0
stopLossPrice := 0.0
stopLossPrice
else
strategy.entry('Buy', strategy.long)
entryPrice := close
stopPrice := close - stopLoss * sma8[1]
takeProfitPrice := close + takeProfit * sma8[1]
stopLossPrice := stopPrice
stopLossPrice
if strategy.position_size < 0
if (close > takeProfitPrice or close < stopLossPrice) and crossoverState
strategy.close('Sell')
entryPrice := 0.0
stopPrice := 0.0
takeProfitPrice := 0.0
stopLossPrice := 0.0
stopLossPrice
else
strategy.entry('Sell', strategy.short)
entryPrice := close
stopPrice := close + stopLoss * sma8[1]
takeProfitPrice := close - takeProfit * sma8[1]
stopLossPrice := stopPrice
stopLossPrice
// Plot entry and exit points
plotshape(strategy.position_size > 0 and crossoverSignal, 'Buy Entry', shape.triangleup, location.belowbar, color.new(color.green, 0), size=size.small)
plotshape(strategy.position_size > 0 and (close >= takeProfitPrice or close <= stopLossPrice), 'Buy Exit', shape.triangledown, location.abovebar, color.new(color.red, 0), size=size.small)
plotshape(strategy.position_size < 0 and crossunderSignal, 'Sell Entry', shape.triangledown, location.abovebar, color.new(color.red, 0), size=size.small)
plotshape(strategy.position_size < 0 and (close >= takeProfitPrice or close <= stopLossPrice), 'Sell Exit', shape.triangleup, location.belowbar, color.new(color.green, 0), size=size.small)Published by Zer3192 on the FMZ strategy square · last modified 2023-11-03. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
Build this with AgenKit
A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.
/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/blackcat-L1-MartinGale-Scalping-Strategy.md- npx agenkit install engineering-kit in your project
- Paste the command into your agent and approve each phase
- Get tests, backtest, risk controls and a paper-trading switch
Understand it first
Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.
Related specs
- Bollinger Bands Strategy Profit Taking and Martingale DoublingPine Script · Martingale
- MACD KDJ Combined Martingale Pyramiding Quantitative Trading StrategyPine Script · Martingale · 1h
- Modified Bollinger Bands Strategy Take Profit and Martingale DoublingPine Script · Martingale
- The Gunbot Bands StrategyPine Script · Martingale · 3m
- Martingale Strategy with Expanded Moving Average Range for Stock TradingPine Script · Martingale · 1h
- Adaptive Momentum Martingale Trading SystemPine Script · Martingale · 1h