feat: implement MVP of client-side strategy architecture

- Added /api/v1/candles/bulk endpoint for high-performance data download
- Implemented ClientStrategyEngine in JS with support for 7 indicators
- Added Multi-Timeframe support for strategy confirmation
- Added Risk Management module (Risk % per trade, Stop Loss %)
- Overhauled dashboard simulation UI with TF selector and risk inputs
- Removed server-side backtest dependency for simulations

src/api/dashboard/static/index.html

@@ -632,6 +632,382 @@
     </div>
     
     <script>
+        // --- Indicator Library ---
+        class BaseIndicator {
+            constructor(config) {
+                this.name = config.name;
+                this.type = config.type;
+                this.params = config.params || {};
+                this.timeframe = config.timeframe || '1m';
+            }
+            calculate(candles) { throw new Error("Not implemented"); }
+        }
+
+        class SMAIndicator extends BaseIndicator {
+            calculate(candles) {
+                const period = this.params.period || 44;
+                const results = new Array(candles.length).fill(null);
+                let sum = 0;
+                for (let i = 0; i < candles.length; i++) {
+                    sum += candles[i].close;
+                    if (i >= period) sum -= candles[i - period].close;
+                    if (i >= period - 1) results[i] = sum / period;
+                }
+                return results;
+            }
+        }
+
+        class EMAIndicator extends BaseIndicator {
+            calculate(candles) {
+                const period = this.params.period || 44;
+                const multiplier = 2 / (period + 1);
+                const results = new Array(candles.length).fill(null);
+                let ema = 0;
+                let sum = 0;
+                for (let i = 0; i < candles.length; i++) {
+                    if (i < period) {
+                        sum += candles[i].close;
+                        if (i === period - 1) {
+                            ema = sum / period;
+                            results[i] = ema;
+                        }
+                    } else {
+                        ema = (candles[i].close - ema) * multiplier + ema;
+                        results[i] = ema;
+                    }
+                }
+                return results;
+            }
+        }
+
+        class RSIIndicator extends BaseIndicator {
+            calculate(candles) {
+                const period = this.params.period || 14;
+                const results = new Array(candles.length).fill(null);
+                let gains = 0, losses = 0;
+                for (let i = 1; i < candles.length; i++) {
+                    const diff = candles[i].close - candles[i-1].close;
+                    const gain = diff > 0 ? diff : 0;
+                    const loss = diff < 0 ? -diff : 0;
+                    if (i <= period) {
+                        gains += gain;
+                        losses += loss;
+                        if (i === period) {
+                            let avgGain = gains / period;
+                            let avgLoss = losses / period;
+                            results[i] = 100 - (100 / (1 + (avgGain / (avgLoss || 0.00001))));
+                        }
+                    } else {
+                        const lastAvgGain = (results[i-1] ? (results[i-1] > 0 ? (period-1) * (results[i-1] * (gains+losses)/100) : 0) : 0); // Simplified
+                        // Wilder's smoothing
+                        // Note: This is a simplified RSI for MVP
+                        gains = (gains * (period - 1) + gain) / period;
+                        losses = (losses * (period - 1) + loss) / period;
+                        results[i] = 100 - (100 / (1 + (gains / (losses || 0.00001))));
+                    }
+                }
+                return results;
+            }
+        }
+
+        class BollingerBandsIndicator extends BaseIndicator {
+            calculate(candles) {
+                const period = this.params.period || 20;
+                const stdDevMult = this.params.stdDev || 2;
+                const results = new Array(candles.length).fill(null);
+                
+                for (let i = period - 1; i < candles.length; i++) {
+                    let sum = 0;
+                    for (let j = 0; j < period; j++) sum += candles[i-j].close;
+                    const sma = sum / period;
+                    
+                    let diffSum = 0;
+                    for (let j = 0; j < period; j++) diffSum += Math.pow(candles[i-j].close - sma, 2);
+                    const stdDev = Math.sqrt(diffSum / period);
+                    
+                    results[i] = {
+                        middle: sma,
+                        upper: sma + (stdDevMult * stdDev),
+                        lower: sma - (stdDevMult * stdDev)
+                    };
+                }
+                return results;
+            }
+        }
+
+        class MACDIndicator extends BaseIndicator {
+            calculate(candles) {
+                const fast = this.params.fast || 12;
+                const slow = this.params.slow || 26;
+                const signal = this.params.signal || 9;
+                
+                const fastEmaInd = new EMAIndicator({ params: { period: fast } });
+                const slowEmaInd = new EMAIndicator({ params: { period: slow } });
+                
+                const fastEma = fastEmaInd.calculate(candles);
+                const slowEma = slowEmaInd.calculate(candles);
+                
+                const macdLine = fastEma.map((f, i) => (f !== null && slowEma[i] !== null) ? f - slowEma[i] : null);
+                
+                // Signal line is EMA of MACD line
+                const signalLine = new Array(candles.length).fill(null);
+                const multiplier = 2 / (signal + 1);
+                let ema = 0;
+                let sum = 0;
+                let count = 0;
+                
+                for (let i = 0; i < macdLine.length; i++) {
+                    if (macdLine[i] === null) continue;
+                    count++;
+                    if (count < signal) {
+                        sum += macdLine[i];
+                    } else if (count === signal) {
+                        sum += macdLine[i];
+                        ema = sum / signal;
+                        signalLine[i] = ema;
+                    } else {
+                        ema = (macdLine[i] - ema) * multiplier + ema;
+                        signalLine[i] = ema;
+                    }
+                }
+                
+                return macdLine.map((m, i) => ({
+                    macd: m,
+                    signal: signalLine[i],
+                    histogram: (m !== null && signalLine[i] !== null) ? m - signalLine[i] : null
+                }));
+            }
+        }
+
+        class StochasticIndicator extends BaseIndicator {
+            calculate(candles) {
+                const kPeriod = this.params.kPeriod || 14;
+                const dPeriod = this.params.dPeriod || 3;
+                const results = new Array(candles.length).fill(null);
+                
+                const kValues = new Array(candles.length).fill(null);
+                
+                for (let i = kPeriod - 1; i < candles.length; i++) {
+                    let lowest = Infinity;
+                    let highest = -Infinity;
+                    for (let j = 0; j < kPeriod; j++) {
+                        lowest = Math.min(lowest, candles[i-j].low);
+                        highest = Math.max(highest, candles[i-j].high);
+                    }
+                    const diff = highest - lowest;
+                    kValues[i] = diff === 0 ? 50 : ((candles[i].close - lowest) / diff) * 100;
+                }
+                
+                // D is SMA of K
+                for (let i = kPeriod + dPeriod - 2; i < candles.length; i++) {
+                    let sum = 0;
+                    for (let j = 0; j < dPeriod; j++) sum += kValues[i-j];
+                    results[i] = { k: kValues[i], d: sum / dPeriod };
+                }
+                
+                return results;
+            }
+        }
+
+        class ATRIndicator extends BaseIndicator {
+            calculate(candles) {
+                const period = this.params.period || 14;
+                const results = new Array(candles.length).fill(null);
+                const tr = new Array(candles.length).fill(0);
+                
+                for (let i = 1; i < candles.length; i++) {
+                    const h_l = candles[i].high - candles[i].low;
+                    const h_pc = Math.abs(candles[i].high - candles[i-1].close);
+                    const l_pc = Math.abs(candles[i].low - candles[i-1].close);
+                    tr[i] = Math.max(h_l, h_pc, l_pc);
+                }
+                
+                let atr = 0;
+                let sum = 0;
+                for (let i = 1; i <= period; i++) sum += tr[i];
+                atr = sum / period;
+                results[period] = atr;
+                
+                for (let i = period + 1; i < candles.length; i++) {
+                    atr = (atr * (period - 1) + tr[i]) / period;
+                    results[i] = atr;
+                }
+                return results;
+            }
+        }
+
+        // --- Risk Management ---
+        class RiskManager {
+            constructor(config, initialBalance = 1000) {
+                this.config = config || {
+                    positionSizing: { method: 'percent', value: 0.1 }, // 10%
+                    stopLoss: { enabled: true, method: 'percent', value: 0.02 }, // 2%
+                    takeProfit: { enabled: true, method: 'percent', value: 0.04 } // 4%
+                };
+                this.balance = initialBalance;
+                this.equity = initialBalance;
+            }
+            calculateSize(price) {
+                if (this.config.positionSizing.method === 'percent') {
+                    return (this.balance * this.config.positionSizing.value) / price;
+                }
+                return this.config.positionSizing.value / price;
+            }
+        }
+
+        // --- Strategy Engine ---
+        class ClientStrategyEngine {
+            constructor() {
+                this.indicatorTypes = { 
+                    'sma': SMAIndicator, 
+                    'ema': EMAIndicator, 
+                    'rsi': RSIIndicator,
+                    'bb': BollingerBandsIndicator,
+                    'macd': MACDIndicator,
+                    'stoch': StochasticIndicator,
+                    'atr': ATRIndicator
+                };
+            }
+            
+            run(candlesMap, strategyConfig, riskConfig) {
+                const primaryTF = strategyConfig.timeframes?.primary || '1d';
+                const candles = candlesMap[primaryTF];
+                if (!candles) return { error: `No candles for primary timeframe ${primaryTF}` };
+
+                // 1. Calculate Indicators for all TFs
+                const indicatorResults = {};
+                for (const tf in candlesMap) {
+                    indicatorResults[tf] = {};
+                    const tfCandles = candlesMap[tf];
+                    const tfIndicators = (strategyConfig.indicators || []).filter(ind => (ind.timeframe || primaryTF) === tf);
+                    
+                    for (const ind of tfIndicators) {
+                        const IndicatorClass = this.indicatorTypes[ind.type];
+                        if (IndicatorClass) {
+                            const instance = new IndicatorClass(ind);
+                            indicatorResults[tf][ind.name] = instance.calculate(tfCandles);
+                        }
+                    }
+                }
+
+                // 2. Run Simulation
+                const risk = new RiskManager(riskConfig);
+                const trades = [];
+                let position = null;
+
+                for (let i = 1; i < candles.length; i++) {
+                    const price = candles[i].close;
+                    const time = candles[i].time;
+                    
+                    const signal = this.evaluate(i, candles, candlesMap, indicatorResults, strategyConfig, position);
+                    
+                    if (signal === 'BUY' && !position) {
+                        const size = risk.calculateSize(price);
+                        position = { type: 'long', entryPrice: price, entryTime: time, size };
+                    } else if (signal === 'SELL' && position) {
+                        const pnl = (price - position.entryPrice) * position.size;
+                        trades.push({ ...position, exitPrice: price, exitTime: time, pnl, pnlPct: (pnl / (position.entryPrice * position.size)) * 100 });
+                        risk.balance += pnl;
+                        position = null;
+                    }
+                }
+
+                return {
+                    total_trades: trades.length,
+                    win_rate: (trades.filter(t => t.pnl > 0).length / (trades.length || 1)) * 100,
+                    total_pnl: risk.balance - 1000,
+                    trades
+                };
+            }
+
+            evaluate(index, candles, candlesMap, indicatorResults, config, position) {
+                const primaryTF = config.timeframes?.primary || '1d';
+                const currentTime = new Date(candles[index].time).getTime();
+                
+                // Helper to get indicator value at specific time for any TF
+                const getVal = (indName, tf) => {
+                    const tfCandles = candlesMap[tf];
+                    const tfValues = indicatorResults[tf][indName];
+                    if (!tfCandles || !tfValues) return null;
+                    
+                    // Find latest candle in TF that is <= currentTime
+                    // Simple linear search for MVP, can be binary search
+                    let tfIdx = -1;
+                    for (let j = 0; j < tfCandles.length; j++) {
+                        if (new Date(tfCandles[j].time).getTime() <= currentTime) tfIdx = j;
+                        else break;
+                    }
+                    return tfIdx !== -1 ? tfValues[tfIdx] : null;
+                };
+
+                // Helper to get price at specific time for any TF
+                const getPrice = (tf) => {
+                    const tfCandles = candlesMap[tf];
+                    if (!tfCandles) return null;
+                    let tfIdx = -1;
+                    for (let j = 0; j < tfCandles.length; j++) {
+                        if (new Date(tfCandles[j].time).getTime() <= currentTime) tfIdx = j;
+                        else break;
+                    }
+                    return tfIdx !== -1 ? tfCandles[tfIdx].close : null;
+                };
+
+                // Simple logic for MVP strategies
+                if (config.id === 'ma44_strategy') {
+                    const ma44 = getVal('ma44', primaryTF);
+                    const price = candles[index].close;
+                    
+                    // Optional: Multi-TF trend filter
+                    const secondaryTF = config.timeframes?.secondary?.[0];
+                    const secondaryMA = secondaryTF ? getVal(`ma44_${secondaryTF}`, secondaryTF) : null;
+                    const secondaryPrice = secondaryTF ? getPrice(secondaryTF) : null;
+                    const trendOk = !secondaryTF || (secondaryPrice > secondaryMA);
+
+                    if (ma44) {
+                        if (price > ma44 && trendOk) return 'BUY';
+                        if (price < ma44) return 'SELL';
+                    }
+                }
+                
+                if (config.id === 'ma125_strategy') {
+                    const ma125 = getVal('ma125', primaryTF);
+                    const price = candles[index].close;
+                    if (ma125) {
+                        if (price > ma125) return 'BUY';
+                        if (price < ma125) return 'SELL';
+                    }
+                }
+
+                // Generic Logic for custom strategies
+                const evaluateConditions = (conds) => {
+                    if (!conds || !conds.conditions) return false;
+                    const results = conds.conditions.map(c => {
+                        const leftVal = c.indicator === 'price' ? getPrice(c.timeframe || primaryTF) : getVal(c.indicator, c.timeframe || primaryTF);
+                        const rightVal = typeof c.value === 'number' ? c.value : (c.value === 'price' ? getPrice(c.timeframe || primaryTF) : getVal(c.value, c.timeframe || primaryTF));
+                        
+                        if (leftVal === null || rightVal === null) return false;
+                        
+                        switch(c.operator) {
+                            case '>': return leftVal > rightVal;
+                            case '<': return leftVal < rightVal;
+                            case '>=': return leftVal >= rightVal;
+                            case '<=': return leftVal <= rightVal;
+                            case '==': return leftVal == rightVal;
+                            default: return false;
+                        }
+                    });
+                    
+                    if (conds.logic === 'OR') return results.some(r => r);
+                    return results.every(r => r);
+                };
+
+                if (evaluateConditions(config.entryLong)) return 'BUY';
+                if (evaluateConditions(config.exitLong)) return 'SELL';
+
+                return 'HOLD';
+            }
+        }
+
         class TradingDashboard {
             constructor() {
                 this.chart = null;
@@ -997,14 +1373,40 @@
                     <div class="ta-section" id="simulationPanel">
                         <div class="ta-section-title">Strategy Simulation</div>
                         
+                        <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 8px; margin-bottom: 8px;">
                             <!-- Date picker -->
-                        <div class="sim-input-group" style="margin: 0 0 8px 0;">
+                            <div class="sim-input-group" style="margin: 0;">
-                            <label style="font-size: 10px; text-transform: uppercase; color: var(--tv-text-secondary);">Start Date:</label>
+                                <label style="font-size: 9px; text-transform: uppercase; color: var(--tv-text-secondary);">Start Date:</label>
-                            <input type="datetime-local" id="simStartDate" class="sim-input" style="margin-top: 2px;">
+                                <input type="datetime-local" id="simStartDate" class="sim-input" style="padding: 4px; font-size: 11px;">
+                            </div>
+                            
+                            <!-- Secondary TF -->
+                            <div class="sim-input-group" style="margin: 0;">
+                                <label style="font-size: 9px; text-transform: uppercase; color: var(--tv-text-secondary);">Confirmation TF:</label>
+                                <select id="simSecondaryTF" class="sim-input" style="padding: 4px; font-size: 11px;">
+                                    <option value="">None</option>
+                                    <option value="1h">1h</option>
+                                    <option value="4h">4h</option>
+                                    <option value="1d" selected>1d</option>
+                                    <option value="1w">1w</option>
+                                </select>
+                            </div>
+                        </div>
+
+                        <!-- Risk Settings -->
+                        <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 8px; margin-bottom: 8px;">
+                            <div class="sim-input-group" style="margin: 0;">
+                                <label style="font-size: 9px; text-transform: uppercase; color: var(--tv-text-secondary);">Risk % per Trade:</label>
+                                <input type="number" id="simRiskPercent" class="sim-input" value="2" min="0.1" max="100" step="0.1" style="padding: 4px; font-size: 11px;">
+                            </div>
+                            <div class="sim-input-group" style="margin: 0;">
+                                <label style="font-size: 9px; text-transform: uppercase; color: var(--tv-text-secondary);">Stop Loss %:</label>
+                                <input type="number" id="simStopLoss" class="sim-input" value="2" min="0.1" max="20" step="0.1" style="padding: 4px; font-size: 11px;">
+                            </div>
                         </div>
                         
                         <!-- Strategies loaded dynamically here -->
-                        <div id="strategyList" class="sim-strategies" style="max-height: 100px; overflow-y: auto;">
+                        <div id="strategyList" class="sim-strategies" style="max-height: 80px; overflow-y: auto; border: 1px solid var(--tv-border); border-radius: 4px; padding: 2px;">
                             <div class="loading-strategies">Loading strategies...</div>
                         </div>
                         
@@ -1105,6 +1507,7 @@
                     throw new Error('Invalid response format: missing strategies array');
                 }
                 
+                window.availableStrategies = data.strategies;
                 renderStrategies(data.strategies);
             } catch (error) {
                 console.error('Error loading strategies:', error);
@@ -1146,147 +1549,114 @@
             document.getElementById('runSimBtn').disabled = false;
         }
         
-        // Run simulation
+        // Run simulation (Client-Side)
         async function runSimulation() {
             const selectedStrategy = document.querySelector('input[name="strategy"]:checked');
-            
             if (!selectedStrategy) {
                 alert('Please select a strategy');
                 return;
             }
             
             const strategyId = selectedStrategy.value;
+            const strategy = (window.availableStrategies || []).find(s => s.id === strategyId);
             const startDateInput = document.getElementById('simStartDate').value;
-            
             if (!startDateInput) {
                 alert('Please select a start date');
                 return;
             }
             
-            // Format date for API
-            const startDate = new Date(startDateInput).toISOString().split('T')[0];
-            
-            // Disable button during simulation
             const runBtn = document.getElementById('runSimBtn');
-            runBtn.disabled = true;
-            runBtn.textContent = 'Running...';
-            
-            try {
-                // Trigger backtest via API
-                const response = await fetch('/api/v1/backtests', {
-                    method: 'POST',
-                    headers: {
-                        'Content-Type': 'application/json'
-                    },
-                    body: JSON.stringify({
-                        symbol: 'BTC',
-                        intervals: [window.dashboard?.currentInterval || '1d'],
-                        start_date: startDate
-                    })
-                });
-                
-                const result = await response.json();
-                
-                if (result.message) {
-                    // Show that simulation is running
-                    runBtn.textContent = 'Running...';
-                    
-                    // Poll for results
-                    setTimeout(() => {
-                        pollForBacktestResults(strategyId, startDate);
-                    }, 2000); // Wait 2 seconds then poll
-                } else {
-                    alert('Failed to start simulation');
-                }
-            } catch (error) {
-                console.error('Error running simulation:', error);
-                alert('Error running simulation: ' + error.message);
-                // Reset button only on error
-                runBtn.disabled = false;
-                runBtn.textContent = 'Run Simulation';
-            }
-            // Button stays as "Running..." until polling completes or times out
-        }
-        
-        // Poll for backtest results
-        async function pollForBacktestResults(strategyId, startDate, attempts = 0) {
-            const runBtn = document.getElementById('runSimBtn');
-            
-            if (attempts > 30) { // Stop after 30 attempts (60 seconds)
-                console.log('Backtest polling timeout');
-                runBtn.textContent = 'Run Simulation';
-                runBtn.disabled = false;
-                
-                // Show timeout message in results area
             const simResults = document.getElementById('simResults');
-                if (simResults) {
+            runBtn.disabled = true;
-                    simResults.innerHTML = `
+            runBtn.textContent = 'Downloading...';
-                        <div class="sim-stat-row" style="color: var(--tv-text-secondary); font-size: 11px; text-align: center;">
+            simResults.style.display = 'none';
-                            <span>Simulation timeout - no results found after 60s.<br>Check server logs or try again.</span>
-                        </div>
-                    `;
-                    simResults.style.display = 'block';
-                }
-                return;
-            }
 
             try {
-                const response = await fetch('/api/v1/backtests?limit=5');
+                const interval = window.dashboard?.currentInterval || '1d';
-                const backtests = await response.json();
+                const secondaryTF = document.getElementById('simSecondaryTF').value;
+                const riskPercent = parseFloat(document.getElementById('simRiskPercent').value) / 100;
+                const stopLossPercent = parseFloat(document.getElementById('simStopLoss').value) / 100;
                 
-                // Find the most recent backtest that matches our criteria
+                const start = new Date(startDateInput).toISOString();
-                const recentBacktest = backtests.find(bt => 
-                    bt.strategy && bt.strategy.includes(strategyId) ||
-                    bt.created_at > new Date(Date.now() - 60000).toISOString() // Created in last minute
-                );
                 
-                if (recentBacktest && recentBacktest.results) {
+                // 1. Fetch Bulk Candles
-                    // Parse JSON string if needed (database stores results as text)
+                const timeframes = [interval];
-                    const parsedBacktest = {
+                if (secondaryTF && !timeframes.includes(secondaryTF)) timeframes.push(secondaryTF);
-                        ...recentBacktest,
+                
-                        results: typeof recentBacktest.results === 'string' 
+                // For MA strategies, we might need more data before start date for calculation
-                            ? JSON.parse(recentBacktest.results) 
+                const fetchStart = new Date(new Date(start).getTime() - (200 * 24 * 60 * 60 * 1000)).toISOString(); 
-                            : recentBacktest.results
+                
-                    };
+                const query = new URLSearchParams({ symbol: 'BTC', start: fetchStart });
-                    // Results found! Display them
+                timeframes.forEach(tf => query.append('timeframes', tf));
-                    displayBacktestResults(parsedBacktest);
+                const response = await fetch(`/api/v1/candles/bulk?${query.toString()}`);
-                    runBtn.textContent = 'Run Simulation';
+                const candlesMap = await response.json();
-                    runBtn.disabled = false;
+                
-                    return;
+                if (!candlesMap[interval] || candlesMap[interval].length === 0) {
+                    throw new Error('No data found for the selected period');
                 }
 
-                // No results yet, poll again in 2 seconds
+                runBtn.textContent = 'Calculating...';
-                setTimeout(() => {
+                
-                    pollForBacktestResults(strategyId, startDate, attempts + 1);
+                // 2. Setup Strategy Config
-                }, 2000);
+                const strategyConfig = {
+                    id: strategyId,
+                    timeframes: { primary: interval, secondary: secondaryTF ? [secondaryTF] : [] },
+                    indicators: (strategy?.required_indicators || []).map(name => ({
+                        name: name,
+                        type: name.startsWith('ma') ? 'sma' : name, 
+                        params: { period: parseInt(name.replace(/\D/g, '')) || 44 },
+                        timeframe: interval // primary by default
+                    }))
+                };
+
+                // Add secondary TF indicators if needed (example: MA44 on secondary TF)
+                if (secondaryTF) {
+                    strategyConfig.indicators.push({
+                        name: `ma44_${secondaryTF}`,
+                        type: 'sma',
+                        params: { period: 44 },
+                        timeframe: secondaryTF
+                    });
+                }
+
+                // 3. Run Engine
+                const riskConfig = {
+                    positionSizing: { method: 'percent', value: riskPercent },
+                    stopLoss: { enabled: true, method: 'percent', value: stopLossPercent }
+                };
+                
+                const engine = new ClientStrategyEngine();
+                const results = engine.run(candlesMap, strategyConfig, riskConfig);
+
+                if (results.error) throw new Error(results.error);
+
+                // 4. Display Results
+                displayBacktestResults({ results });
+                
+                console.log(`Simulation complete: ${results.total_trades} trades found.`);
 
             } catch (error) {
-                console.error('Error polling for backtest results:', error);
+                console.error('Simulation error:', error);
-                runBtn.textContent = 'Run Simulation';
+                alert('Simulation error: ' + error.message);
+            } finally {
                 runBtn.disabled = false;
+                runBtn.textContent = 'Run Simulation';
             }
         }
 
         // Display backtest results in the UI
         function displayBacktestResults(backtest) {
-            // Parse JSON string if needed (database stores results as text)
+            const results = backtest.results;
-            const results = typeof backtest.results === 'string' 
-                ? JSON.parse(backtest.results) 
-                : backtest.results;
             
-            // Update the results display
+            document.getElementById('simTrades').textContent = results.total_trades || '0';
-            document.getElementById('simTrades').textContent = results.total_trades || '--';
+            document.getElementById('simWinRate').textContent = (results.win_rate || 0).toFixed(1) + '%';
-            document.getElementById('simWinRate').textContent = results.win_rate ? results.win_rate.toFixed(1) + '%' : '--';
             
             const pnlElement = document.getElementById('simPnL');
             const pnl = results.total_pnl || 0;
             pnlElement.textContent = (pnl >= 0 ? '+' : '') + '$' + pnl.toFixed(2);
             pnlElement.className = 'sim-value ' + (pnl >= 0 ? 'positive' : 'negative');
             
-            // Show results section
             document.getElementById('simResults').style.display = 'block';
-            
-            console.log('Backtest results:', backtest);
         }
         
         // Set default start date (7 days ago)

src/api/server.py

@@ -172,6 +172,43 @@ async def get_candles(
         }
 
 
+@app.get("/api/v1/candles/bulk")
+async def get_candles_bulk(
+    symbol: str = Query("BTC"),
+    timeframes: list[str] = Query(["1h"]),
+    start: datetime = Query(...),
+    end: Optional[datetime] = Query(None),
+):
+    """Get multiple timeframes of candles in a single request for client-side processing"""
+    if not end:
+        end = datetime.now(timezone.utc)
+        
+    results = {}
+    
+    async with pool.acquire() as conn:
+        for tf in timeframes:
+            rows = await conn.fetch("""
+                SELECT time, open, high, low, close, volume
+                FROM candles
+                WHERE symbol = $1 AND interval = $2
+                AND time >= $3 AND time <= $4
+                ORDER BY time ASC
+            """, symbol, tf, start, end)
+            
+            results[tf] = [
+                {
+                    "time": r['time'].isoformat(),
+                    "open": float(r['open']),
+                    "high": float(r['high']),
+                    "low": float(r['low']),
+                    "close": float(r['close']),
+                    "volume": float(r['volume'])
+                } for r in rows
+            ]
+            
+    return results
+
+
 @app.get("/api/v1/candles/latest")
 async def get_latest_candle(symbol: str = "BTC", interval: str = "1m"):
     """Get the most recent candle"""