package marketcap import ( "context" "fmt" "os" "github.com/sirupsen/logrus" "github.com/c9s/bbgo/pkg/bbgo" "github.com/c9s/bbgo/pkg/datasource/coinmarketcap" "github.com/c9s/bbgo/pkg/datatype/floats" "github.com/c9s/bbgo/pkg/fixedpoint" "github.com/c9s/bbgo/pkg/types" ) const ID = "marketcap" var log = logrus.WithField("strategy", ID) func init() { bbgo.RegisterStrategy(ID, &Strategy{}) } type Strategy struct { datasource *coinmarketcap.DataSource // interval to rebalance the portfolio Interval types.Interval `json:"interval"` QuoteCurrency string `json:"quoteCurrency"` QuoteCurrencyWeight fixedpoint.Value `json:"quoteCurrencyWeight"` BaseCurrencies []string `json:"baseCurrencies"` Threshold fixedpoint.Value `json:"threshold"` DryRun bool `json:"dryRun"` // max amount to buy or sell per order MaxAmount fixedpoint.Value `json:"maxAmount"` // interval to query marketcap data from coinmarketcap QueryInterval types.Interval `json:"queryInterval"` subscribeSymbol string activeOrderBook *bbgo.ActiveOrderBook targetWeights types.ValueMap } func (s *Strategy) Initialize() error { apiKey := os.Getenv("COINMARKETCAP_API_KEY") s.datasource = coinmarketcap.New(apiKey) // select one symbol to subscribe s.subscribeSymbol = s.BaseCurrencies[0] + s.QuoteCurrency s.activeOrderBook = bbgo.NewActiveOrderBook("") s.targetWeights = types.ValueMap{} return nil } func (s *Strategy) ID() string { return ID } func (s *Strategy) Validate() error { if len(s.BaseCurrencies) == 0 { return fmt.Errorf("taretCurrencies should not be empty") } for _, c := range s.BaseCurrencies { if c == s.QuoteCurrency { return fmt.Errorf("targetCurrencies contain baseCurrency") } } if s.Threshold.Sign() < 0 { return fmt.Errorf("threshold should not less than 0") } if s.MaxAmount.Sign() < 0 { return fmt.Errorf("maxAmount shoud not less than 0") } return nil } func (s *Strategy) Subscribe(session *bbgo.ExchangeSession) { symbol := s.BaseCurrencies[0] + s.QuoteCurrency session.Subscribe(types.KLineChannel, symbol, types.SubscribeOptions{Interval: s.Interval}) session.Subscribe(types.KLineChannel, symbol, types.SubscribeOptions{Interval: s.QueryInterval}) } func (s *Strategy) Run(ctx context.Context, orderExecutor bbgo.OrderExecutor, session *bbgo.ExchangeSession) error { s.activeOrderBook.BindStream(session.UserDataStream) s.updateTargetWeights(ctx) session.MarketDataStream.OnKLineClosed(func(kline types.KLine) { if kline.Interval == s.QueryInterval { s.updateTargetWeights(ctx) } if kline.Interval == s.Interval { s.rebalance(ctx, orderExecutor, session) } }) return nil } func (s *Strategy) rebalance(ctx context.Context, orderExecutor bbgo.OrderExecutor, session *bbgo.ExchangeSession) { if err := orderExecutor.CancelOrders(ctx, s.activeOrderBook.Orders()...); err != nil { log.WithError(err).Error("failed to cancel orders") } submitOrders := s.generateSubmitOrders(ctx, session) for _, submitOrder := range submitOrders { log.Infof("generated submit order: %s", submitOrder.String()) } if s.DryRun { return } createdOrders, err := orderExecutor.SubmitOrders(ctx, submitOrders...) if err != nil { log.WithError(err).Error("failed to submit orders") return } s.activeOrderBook.Add(createdOrders...) } func (s *Strategy) generateSubmitOrders(ctx context.Context, session *bbgo.ExchangeSession) (submitOrders []types.SubmitOrder) { prices := s.prices(ctx, session) marketValues := prices.Mul(s.quantities(session)) currentWeights := marketValues.Normalize() for currency, targetWeight := range s.targetWeights { if currency == s.QuoteCurrency { continue } symbol := currency + s.QuoteCurrency currentWeight := currentWeights[currency] currentPrice := prices[currency] log.Infof("%s price: %v, current weight: %v, target weight: %v", symbol, currentPrice, currentWeight, targetWeight) // calculate the difference between current weight and target weight // if the difference is less than threshold, then we will not create the order weightDifference := targetWeight.Sub(currentWeight) if weightDifference.Abs().Compare(s.Threshold) < 0 { log.Infof("%s weight distance |%v - %v| = |%v| less than the threshold: %v", symbol, currentWeight, targetWeight, weightDifference, s.Threshold) continue } quantity := weightDifference.Mul(marketValues.Sum()).Div(currentPrice) side := types.SideTypeBuy if quantity.Sign() < 0 { side = types.SideTypeSell quantity = quantity.Abs() } if s.MaxAmount.Sign() > 0 { quantity = bbgo.AdjustQuantityByMaxAmount(quantity, currentPrice, s.MaxAmount) log.Infof("adjust the quantity %v (%s %s @ %v) by max amount %v", quantity, symbol, side.String(), currentPrice, s.MaxAmount) } order := types.SubmitOrder{ Symbol: symbol, Side: side, Type: types.OrderTypeLimit, Quantity: quantity, Price: currentPrice, } submitOrders = append(submitOrders, order) } return submitOrders } func (s *Strategy) updateTargetWeights(ctx context.Context) { m := floats.Map{} // get marketcap from coinmarketcap // set higher query limit to avoid target currency not in the list marketcaps, err := s.datasource.QueryMarketCapInUSD(ctx, 100) if err != nil { log.WithError(err).Error("failed to query market cap") } for _, currency := range s.BaseCurrencies { m[currency] = marketcaps[currency] } // normalize m = m.Normalize() // rescale by 1 - baseWeight m = m.MulScalar(1.0 - s.QuoteCurrencyWeight.Float64()) // append base weight m[s.QuoteCurrency] = s.QuoteCurrencyWeight.Float64() // convert to types.ValueMap for currency, weight := range m { s.targetWeights[currency] = fixedpoint.NewFromFloat(weight) } log.Infof("target weights: %v", s.targetWeights) } func (s *Strategy) prices(ctx context.Context, session *bbgo.ExchangeSession) types.ValueMap { tickers, err := session.Exchange.QueryTickers(ctx, s.symbols()...) if err != nil { log.WithError(err).Error("failed to query tickers") return nil } prices := types.ValueMap{} for _, currency := range s.BaseCurrencies { prices[currency] = tickers[currency+s.QuoteCurrency].Last } // append base currency price prices[s.QuoteCurrency] = fixedpoint.One return prices } func (s *Strategy) quantities(session *bbgo.ExchangeSession) types.ValueMap { balances := session.Account.Balances() quantities := types.ValueMap{} for _, currency := range s.currencies() { quantities[currency] = balances[currency].Total() } return quantities } func (s *Strategy) symbols() (symbols []string) { for _, currency := range s.BaseCurrencies { symbols = append(symbols, currency+s.QuoteCurrency) } return symbols } func (s *Strategy) currencies() (currencies []string) { currencies = append(currencies, s.BaseCurrencies...) currencies = append(currencies, s.QuoteCurrency) return currencies }