File size: 6,977 Bytes
a3b10ab 78d880e a3b10ab 78d880e a3b10ab 78d880e a3b10ab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 | #include "actors/AITraderActor.hpp"
#include <algorithm>
#include <numeric>
#include <cstring>
#include <iostream>
namespace eunex {
AITraderActor::AITraderActor(const tredzone::ActorId& oeGatewayId,
const std::vector<SymbolIndex_t>& symbols)
: oePipe_(*this, oeGatewayId)
, symbols_(symbols)
, rng_(std::random_device{}())
{
registerEventHandler<BookUpdateEvent>(*this);
registerEventHandler<TradeEvent>(*this);
registerEventHandler<ExecReportEvent>(*this);
initMembers();
registerCallback(*this);
}
void AITraderActor::initMembers() {
Strategy strategies[] = {Strategy::Momentum, Strategy::MeanReversion, Strategy::Random};
for (int i = 0; i < NUM_MEMBERS; ++i) {
AITraderMember m{};
m.memberId = static_cast<MemberId_t>(i + 1);
m.sessionId = static_cast<SessionId_t>(200 + i);
std::snprintf(m.name, sizeof(m.name), "MBR%02d", i + 1);
m.strategy = strategies[i % 3];
m.orderCount = 0;
members_.push_back(m);
}
}
void AITraderActor::onEvent(const BookUpdateEvent& event) {
BBO bbo{};
if (event.bidDepth > 0) bbo.bestBid = event.bids[0].price;
if (event.askDepth > 0) bbo.bestAsk = event.asks[0].price;
bbos_[event.symbolIdx] = bbo;
}
void AITraderActor::onEvent(const TradeEvent& event) {
auto& history = priceHistory_[event.trade.symbolIdx];
history.push_back(event.trade.price);
if (history.size() > MAX_PRICE_HISTORY) {
history.erase(history.begin());
}
}
void AITraderActor::onEvent(const ExecReportEvent&) {
// Could track fills per member; not needed for basic trading
}
void AITraderActor::onCallback() {
tradeRound();
registerCallback(*this);
}
void AITraderActor::tradeRound() {
if (symbols_.empty()) return;
for (auto& member : members_) {
std::uniform_int_distribution<size_t> symDist(0, symbols_.size() - 1);
SymbolIndex_t symIdx = symbols_[symDist(rng_)];
auto bboIt = bbos_.find(symIdx);
if (bboIt == bbos_.end() || (bboIt->second.bestBid == 0 && bboIt->second.bestAsk == 0)) {
submitOrder(member, symIdx);
continue;
}
const BBO& bbo = bboIt->second;
auto histIt = priceHistory_.find(symIdx);
std::vector<Price_t> emptyHist;
const auto& history = (histIt != priceHistory_.end()) ? histIt->second : emptyHist;
switch (member.strategy) {
case Strategy::Momentum:
strategyMomentum(member, symIdx, bbo, history);
break;
case Strategy::MeanReversion:
strategyMeanReversion(member, symIdx, bbo, history);
break;
case Strategy::Random:
strategyRandom(member, symIdx, bbo);
break;
}
}
}
Price_t AITraderActor::referencePrice(SymbolIndex_t sym) {
switch (sym) {
case 1: return toFixedPrice(154.0); // AAPL
case 2: return toFixedPrice(324.0); // MSFT
case 3: return toFixedPrice(141.0); // GOOGL
case 4: return toFixedPrice(375.0); // TSLA
case 5: return toFixedPrice(201.0); // NVDA
case 6: return toFixedPrice(320.0); // AMD
case 7: return toFixedPrice(146.0); // ENX
default: return toFixedPrice(100.0);
}
}
void AITraderActor::submitOrder(const AITraderMember& member, SymbolIndex_t symIdx) {
std::uniform_int_distribution<int> sideDist(0, 1);
std::uniform_int_distribution<int> qtyDist(10, 100);
Side side = sideDist(rng_) ? Side::Buy : Side::Sell;
Price_t refPrice = referencePrice(symIdx);
std::uniform_int_distribution<int> spreadDist(-3, 3);
Price_t tickOffset = spreadDist(rng_) * (PRICE_SCALE / 100);
Price_t price = refPrice + tickOffset;
if (price <= 0) price = PRICE_SCALE;
Quantity_t qty = qtyDist(rng_);
ClOrdId_t clOrdId = nextClOrdId_++;
oePipe_.push<NewOrderEvent>(clOrdId, symIdx, side, OrderType::Limit,
TimeInForce::Day, price, qty, member.sessionId);
}
void AITraderActor::strategyMomentum(const AITraderMember& member, SymbolIndex_t symIdx,
const BBO& bbo, const std::vector<Price_t>& history) {
if (history.size() < 3) {
submitOrder(member, symIdx);
return;
}
Price_t recent = history.back();
Price_t older = history[history.size() - 3];
Side side = (recent > older) ? Side::Buy : Side::Sell;
Price_t midPrice = (bbo.bestBid + bbo.bestAsk) / 2;
if (midPrice == 0) midPrice = recent;
std::uniform_int_distribution<int> spreadDist(-2, 2);
Price_t tickOffset = spreadDist(rng_) * (PRICE_SCALE / 100);
Price_t price = midPrice + tickOffset;
if (price <= 0) price = PRICE_SCALE;
std::uniform_int_distribution<int> qtyDist(10, 50);
Quantity_t qty = qtyDist(rng_);
ClOrdId_t clOrdId = nextClOrdId_++;
oePipe_.push<NewOrderEvent>(clOrdId, symIdx, side, OrderType::Limit,
TimeInForce::Day, price, qty, member.sessionId);
}
void AITraderActor::strategyMeanReversion(const AITraderMember& member, SymbolIndex_t symIdx,
const BBO& bbo, const std::vector<Price_t>& history) {
if (history.size() < 5) {
submitOrder(member, symIdx);
return;
}
int64_t sum = 0;
for (auto p : history) sum += p;
Price_t mean = static_cast<Price_t>(sum / static_cast<int64_t>(history.size()));
Price_t current = history.back();
Side side = (current > mean) ? Side::Sell : Side::Buy;
Price_t price = mean;
std::uniform_int_distribution<int> qtyDist(10, 50);
Quantity_t qty = qtyDist(rng_);
ClOrdId_t clOrdId = nextClOrdId_++;
oePipe_.push<NewOrderEvent>(clOrdId, symIdx, side, OrderType::Limit,
TimeInForce::Day, price, qty, member.sessionId);
}
void AITraderActor::strategyRandom(const AITraderMember& member, SymbolIndex_t symIdx,
const BBO& bbo) {
std::uniform_int_distribution<int> sideDist(0, 1);
Side side = sideDist(rng_) ? Side::Buy : Side::Sell;
Price_t midPrice = (bbo.bestBid + bbo.bestAsk) / 2;
if (midPrice == 0) midPrice = referencePrice(symIdx);
std::uniform_int_distribution<int> spreadDist(-5, 5);
Price_t tickOffset = spreadDist(rng_) * (PRICE_SCALE / 100);
Price_t price = midPrice + tickOffset;
if (price <= 0) price = PRICE_SCALE;
std::uniform_int_distribution<int> qtyDist(5, 100);
Quantity_t qty = qtyDist(rng_);
ClOrdId_t clOrdId = nextClOrdId_++;
oePipe_.push<NewOrderEvent>(clOrdId, symIdx, side, OrderType::Limit,
TimeInForce::Day, price, qty, member.sessionId);
}
int AITraderActor::totalOrderCount() const {
int total = 0;
for (auto& m : members_) total += m.orderCount;
return total;
}
} // namespace eunex
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