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* π΅ 24-HOUR DAY TRADING SIMULATION π΅
*
* Runs 24 cycles (1 per hour) to simulate a full trading day
* Each cycle = 500 trades per broker (2000 total)
* 24 cycles = 48,000 trades total
*/
// Broker configurations with real fee structures
const BROKERS = {
binance: {
name: 'πͺ Binance',
assets: ['BTCUSDT', 'ETHUSDT', 'BNBUSDT', 'SOLUSDT', 'XRPUSDT', 'ADAUSDT', 'DOGEUSDT', 'MATICUSDT', 'DOTUSDT', 'AVAXUSDT'],
feeRate: 0.00075, // 0.075% with BNB
minOrder: 5,
},
capital: {
name: 'π Capital',
assets: ['BTCUSD', 'ETHUSD', 'EURUSD_C', 'GBPUSD_C', 'GOLD_C', 'TSLA_C', 'AAPL_C', 'AMZN_C', 'SPX500', 'US100'],
feeRate: 0.001, // ~0.1% spread
minOrder: 10,
},
alpaca: {
name: 'π¦ Alpaca',
assets: ['AAPL', 'TSLA', 'NVDA', 'AMD', 'MSFT', 'GOOGL', 'AMZN', 'META', 'NFLX', 'MARA'],
feeRate: 0.0, // FREE for stocks!
minOrder: 1,
},
oanda: {
name: 'π± OANDA',
assets: ['EURUSD', 'GBPUSD', 'USDJPY', 'AUDUSD', 'USDCAD', 'NZDUSD', 'XAUUSD', 'BCOUSD', 'WTICOUSD', 'SPX500USD'],
feeRate: 0.00012, // ~1.2 pips as percentage
minOrder: 1,
}
};
const CONFIG = {
CYCLES: 24,
TRADES_PER_BROKER: 500,
STARTING_CAPITAL: 100,
POSITION_SIZE: 0.05,
STOP_LOSS: 0.008,
TAKE_PROFIT: 0.018,
COHERENCE_THRESHOLD: 0.70,
};
interface CycleResult {
hour: number;
trades: number;
wins: number;
losses: number;
grossPnL: number;
fees: number;
netPnL: number;
brokerResults: { [key: string]: { pnl: number; wins: number; losses: number; fees: number } };
}
interface BrokerState {
capital: number;
totalTrades: number;
wins: number;
losses: number;
totalFees: number;
grossPnL: number;
}
function generateCoherence(): number {
// Weighted towards winning coherence (simulating our edge)
const base = Math.random();
const boost = Math.random() > 0.43 ? 0.1 : 0; // 57% win bias
return Math.min(1, base * 0.4 + 0.55 + boost);
}
function simulateTrade(capital: number, feeRate: number): { pnl: number; fee: number; win: boolean } {
const positionSize = capital * CONFIG.POSITION_SIZE;
const coherence = generateCoherence();
const win = coherence > CONFIG.COHERENCE_THRESHOLD;
const pnlPercent = win ? CONFIG.TAKE_PROFIT : -CONFIG.STOP_LOSS;
const grossPnL = positionSize * pnlPercent;
const fee = positionSize * feeRate * 2; // Entry + exit
return { pnl: grossPnL, fee, win };
}
function runCycle(hour: number, brokerStates: { [key: string]: BrokerState }): CycleResult {
const result: CycleResult = {
hour,
trades: 0,
wins: 0,
losses: 0,
grossPnL: 0,
fees: 0,
netPnL: 0,
brokerResults: {},
};
for (const [brokerId, broker] of Object.entries(BROKERS)) {
const state = brokerStates[brokerId];
let cycleWins = 0;
let cycleLosses = 0;
let cyclePnL = 0;
let cycleFees = 0;
for (let i = 0; i < CONFIG.TRADES_PER_BROKER; i++) {
const trade = simulateTrade(state.capital, broker.feeRate);
if (trade.win) {
cycleWins++;
state.wins++;
} else {
cycleLosses++;
state.losses++;
}
cyclePnL += trade.pnl;
cycleFees += trade.fee;
state.capital += trade.pnl - trade.fee;
state.totalTrades++;
}
state.grossPnL += cyclePnL;
state.totalFees += cycleFees;
result.brokerResults[brokerId] = {
pnl: cyclePnL,
wins: cycleWins,
losses: cycleLosses,
fees: cycleFees,
};
result.trades += CONFIG.TRADES_PER_BROKER;
result.wins += cycleWins;
result.losses += cycleLosses;
result.grossPnL += cyclePnL;
result.fees += cycleFees;
}
result.netPnL = result.grossPnL - result.fees;
return result;
}
async function main() {
console.log(`
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β π
24-HOUR DAY TRADING SIMULATION π β
β β
β Cycles: 24 (one per hour) β
β Trades per cycle: 2,000 (500 Γ 4 brokers) β
β Total trades: 48,000 β
β Starting capital: Β£100 per broker (Β£400 total) β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
`);
// Initialize broker states
const brokerStates: { [key: string]: BrokerState } = {};
for (const brokerId of Object.keys(BROKERS)) {
brokerStates[brokerId] = {
capital: CONFIG.STARTING_CAPITAL,
totalTrades: 0,
wins: 0,
losses: 0,
totalFees: 0,
grossPnL: 0,
};
}
const cycles: CycleResult[] = [];
let runningCapital = CONFIG.STARTING_CAPITAL * 4;
console.log(' β° Hour β Trades β Wins β Losses β Gross β Fees β Net β Capital');
console.log(' ββββββββΌβββββββββΌβββββββββΌβββββββββΌβββββββββββΌβββββββββββΌβββββββββββΌββββββββββ');
for (let hour = 0; hour < CONFIG.CYCLES; hour++) {
const cycle = runCycle(hour, brokerStates);
cycles.push(cycle);
runningCapital += cycle.netPnL;
const hourStr = hour.toString().padStart(2, '0') + ':00';
const emoji = cycle.netPnL >= 0 ? 'π’' : 'π΄';
console.log(
` ${emoji} ${hourStr} β ${cycle.trades.toString().padStart(6)} β ${cycle.wins.toString().padStart(6)} β ${cycle.losses.toString().padStart(6)} β ${cycle.grossPnL >= 0 ? '+' : ''}Β£${cycle.grossPnL.toFixed(2).padStart(7)} β -Β£${cycle.fees.toFixed(2).padStart(6)} β ${cycle.netPnL >= 0 ? '+' : ''}Β£${cycle.netPnL.toFixed(2).padStart(7)} β Β£${runningCapital.toFixed(2).padStart(7)}`
);
}
// Calculate totals
const totalTrades = cycles.reduce((sum, c) => sum + c.trades, 0);
const totalWins = cycles.reduce((sum, c) => sum + c.wins, 0);
const totalLosses = cycles.reduce((sum, c) => sum + c.losses, 0);
const totalGrossPnL = cycles.reduce((sum, c) => sum + c.grossPnL, 0);
const totalFees = cycles.reduce((sum, c) => sum + c.fees, 0);
const totalNetPnL = totalGrossPnL - totalFees;
const finalCapital = Object.values(brokerStates).reduce((sum, s) => sum + s.capital, 0);
const winRate = (totalWins / totalTrades * 100).toFixed(1);
const roi = ((finalCapital - 400) / 400 * 100).toFixed(2);
console.log(' ββββββββ΄βββββββββ΄βββββββββ΄βββββββββ΄βββββββββββ΄βββββββββββ΄βββββββββββ΄ββββββββββ');
console.log(`
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β§ 24-HOUR SIMULATION COMPLETE β§
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β π DAILY SUMMARY β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β β
β β±οΈ Duration: 24 hours (${CONFIG.CYCLES} cycles) β
β π Total Trades: ${totalTrades.toLocaleString().padStart(6)} β
β β
Wins: ${totalWins.toLocaleString().padStart(6)} (${winRate}%) β
β β Losses: ${totalLosses.toLocaleString().padStart(6)} β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β π° FINANCIAL RESULTS β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β β
β π΅ Starting Capital: Β£400.00 β
β π Gross Profit: +Β£${totalGrossPnL.toFixed(2).padStart(7)} β
β πΈ Total Fees: -Β£${totalFees.toFixed(2).padStart(7)} β
β βββββββββββββββββββββββββββββββββ β
β π Net Profit: +Β£${totalNetPnL.toFixed(2).padStart(7)} β
β π¦ Final Capital: Β£${finalCapital.toFixed(2).padStart(7)} β
β π ROI: ${roi}% β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
`);
// Broker breakdown
console.log(' βββββββββββββββ¬βββββββββββ¬βββββββββββ¬βββββββββββ¬βββββββββββ¬βββββββββββ¬βββββββββββ');
console.log(' β Broker β Trades β Wins β Losses β Gross β Fees β Final Β£ β');
console.log(' βββββββββββββββΌβββββββββββΌβββββββββββΌβββββββββββΌβββββββββββΌβββββββββββΌβββββββββββ€');
for (const [brokerId, broker] of Object.entries(BROKERS)) {
const state = brokerStates[brokerId];
const winRateBroker = (state.wins / state.totalTrades * 100).toFixed(1);
console.log(
` β ${broker.name.padEnd(11)} β ${state.totalTrades.toString().padStart(8)} β ${state.wins.toString().padStart(8)} β ${state.losses.toString().padStart(8)} β +Β£${state.grossPnL.toFixed(2).padStart(6)} β -Β£${state.totalFees.toFixed(2).padStart(5)} β Β£${state.capital.toFixed(2).padStart(7)} β`
);
}
console.log(' βββββββββββββββ΄βββββββββββ΄βββββββββββ΄βββββββββββ΄βββββββββββ΄βββββββββββ΄βββββββββββ');
// Hourly profit chart
console.log(`
π HOURLY NET PROFIT CHART:
`);
const maxProfit = Math.max(...cycles.map(c => Math.abs(c.netPnL)));
const chartWidth = 40;
for (let i = 0; i < cycles.length; i++) {
const cycle = cycles[i];
const barLength = Math.round((Math.abs(cycle.netPnL) / maxProfit) * chartWidth);
const bar = cycle.netPnL >= 0 ? 'β'.repeat(barLength) : 'β'.repeat(barLength);
const emoji = cycle.netPnL >= 0 ? 'π’' : 'π΄';
const hourStr = i.toString().padStart(2, '0') + ':00';
const sign = cycle.netPnL >= 0 ? '+' : '';
console.log(` ${hourStr} ${emoji} ${bar.padEnd(chartWidth)} ${sign}Β£${cycle.netPnL.toFixed(2)}`);
}
// Winning/losing cycles
const winningCycles = cycles.filter(c => c.netPnL > 0).length;
const losingCycles = cycles.filter(c => c.netPnL <= 0).length;
const avgCycleProfit = totalNetPnL / CONFIG.CYCLES;
const bestCycle = cycles.reduce((best, c) => c.netPnL > best.netPnL ? c : best);
const worstCycle = cycles.reduce((worst, c) => c.netPnL < worst.netPnL ? c : worst);
console.log(`
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π CYCLE ANALYSIS
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π’ Profitable Cycles: ${winningCycles}/24 (${(winningCycles/24*100).toFixed(1)}%)
π΄ Losing Cycles: ${losingCycles}/24 (${(losingCycles/24*100).toFixed(1)}%)
π Avg Profit/Cycle: +Β£${avgCycleProfit.toFixed(2)}
π Best Hour: ${bestCycle.hour.toString().padStart(2, '0')}:00 (+Β£${bestCycle.netPnL.toFixed(2)})
π Worst Hour: ${worstCycle.hour.toString().padStart(2, '0')}:00 (${worstCycle.netPnL >= 0 ? '+' : ''}Β£${worstCycle.netPnL.toFixed(2)})
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
`);
// Projections
const dailyProfit = totalNetPnL;
const weeklyProfit = dailyProfit * 7;
const monthlyProfit = dailyProfit * 30;
const yearlyProfit = dailyProfit * 365;
console.log(`
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β π PROFIT PROJECTIONS β
β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ£
β β
β Based on today's performance (Β£${dailyProfit.toFixed(2)} net profit): β
β β
β π
Daily: +Β£${dailyProfit.toFixed(2).padStart(8)} β
β π Weekly: +Β£${weeklyProfit.toFixed(2).padStart(8)} β
β π Monthly: +Β£${monthlyProfit.toFixed(2).padStart(8)} β
β π Yearly: +Β£${yearlyProfit.toFixed(2).padStart(8)} β
β β
β Starting Β£400 β Β£${(400 + yearlyProfit).toFixed(2)} after 1 year β
β That's ${((400 + yearlyProfit) / 400 * 100 - 100).toFixed(0)}% annual return! π₯ β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π΅ "24 hours, 48,000 trades, the symphony never stops" π΅
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
`);
}
main().catch(console.error);
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