#GooglePixelPosterZoom
ポスターの橋本将生さんへ接近！
ぜひ、音付きで見てください👀

Google Pixel 10 Pro のズームは、最大 100 倍まで✨

#MasakiとShutoとShinoとGooglePixel https://t.co/FZNlxkn12O December 12, 2025

把这个代码公开了，因为okx信号策略不知道在干啥，给我断了，这个是今天刚把上面开的空单平掉了。

目前我继续跑吧，后面有变动会更新。

最近主要精力会放在搞把我的交易系统搞成《AI+交易》效果。就是各种写，把我能想到的全部写出来，顺便把我之前发布在推特的单子全部搞出来整理一下。

说一下效果：
默认名义本金10w💲，名义仓位1.5w💲，最高可开到2.5w💲

也就是1w💲十倍杠杆。理论上运气好第一单赚钱的话，2k💲就能开这个策略赚钱

如果趋势强度高了，会开1.5倍杠杆，也就是来到了15万💲的本金。

最近一年效果：大概就是一年2.5w仓位，赚2w💲。

盈利因子接近4

不说其他的了，你们自己看设置吧，反正是中文，自己调试去，希望大家一起搞一个好用的策略吧。

以下是代码👇：

//@version=5
strategy("动态狙击系统 v3.0 - 激进复利版",
overlay=true,
initial_capital=100000,
default_qty_type=strategy.fixed,
commission_type=strategy.commission.percent,
commission_value=0.075,
slippage=3,
pyramiding=0,
calc_on_every_tick=true,
process_orders_on_close=false,
max_bars_back=500)

// ==================== 激进版核心参数 ====================

// 你的激进风控配置
riskPercentage = input.float(3.0, "单笔风险比例(%)", minval=1.0, maxval=5.0, step=0.1, group="激进风控")
maxLeverage = input.float(1.5, "牛市最大杠杆倍数", minval=1.0, maxval=2.0, step=0.1, group="激进风控")
compoundingMode = input.bool(true, "启用复利模式", group="激进风控")
maxPositionPct = input.float(15.0, "最大仓位占比(%)", minval=10, maxval=25, group="激进风控")

// 你的激进止盈配置
breakEvenR = input.float(1.2, "延迟保本触发R", minval=0.8, maxval=2.0, step=0.1, group="激进止盈")
lockSmallR = input.float(3.0, "延迟锁利触发R", minval=2.0, maxval=5.0, step=0.1, group="激进止盈")
lockSmallLevel = input.float(1.0, "锁利位置R", minval=0.5, maxval=2.0, step=0.1, group="激进止盈")
lockBigR = input.float(6.0, "大利润触发R", minval=4.0, maxval=10.0, step=0.1, group="激进止盈")
lockBigLevel = input.float(3.0, "大利润位置R", minval=2.0, maxval=5.0, step=0.1, group="激进止盈")

// 利润回撤保护（激进版放宽）
useGivebackKill = input.bool(true, "启用利润回撤熔断", group="激进止盈")
givebackStartR = input.float(4.0, "回撤监控起始R", minval=3, maxval=8, step=0.5, group="激进止盈")
maxGivebackR = input.float(2.0, "最大允许回撤R", minval=1.0, maxval=4.0, step=0.5, group="激进止盈")

// 趋势过滤
trendEmaLength = https://t.co/AkTw2MlhBV(50, "日线EMA周期", minval=20, maxval=100, group="趋势过滤")
trendLookback = https://t.co/AkTw2MlhBV(20, "动量回看周期", minval=10, maxval=50, group="趋势过滤")
trendThreshold = input.float(5.0, "趋势阈值(%)", minval=2, maxval=15, group="趋势过滤")

// 入场设置
valueEmaLength = https://t.co/AkTw2MlhBV(20, "4H EMA周期", minval=10, maxval=50, group="入场设置")
atrLength = https://t.co/AkTw2MlhBV(14, "ATR周期", minval=7, maxval=21, group="入场设置")
pullbackAtrMult = input.float(1.2, "回调区ATR倍数", minval=0.5, maxval=2.0, group="入场设置")

// 止损设置
stopAtrMult = input.float(3.0, "止损ATR倍数", minval=2.0, maxval=5.0, group="风险管理")

// 激进版熔断（放宽限制）
dailyLossLimit = input.float(5.0, "日亏损熔断(%)", minval=3, maxval=8, group="熔断保护")
totalDrawdownLimit = input.float(25.0, "总回撤防御(%)", minval=15, maxval=35, group="熔断保护")

// ==================== 数据获取 ====================

// 日线数据
dailyClose = https://t.co/bMcX9ObkNK(syminfo.tickerid, "D", close, lookahead=barmerge.lookahead_off)
dailyClose20Ago = https://t.co/bMcX9ObkNK(syminfo.tickerid, "D", close[trendLookback], lookahead=barmerge.lookahead_off)
dailyEma50 = https://t.co/bMcX9ObkNK(syminfo.tickerid, "D", ta.ema(close, trendEmaLength), lookahead=barmerge.lookahead_off)

// 当前周期数据
h4Ema20 = ta.ema(close, valueEmaLength)
h4Atr = ta.atr(atrLength)

// ==================== 趋势过滤器 ====================

trendMomentum = (dailyClose - dailyClose20Ago) / dailyClose20Ago * 100
isBullishEnv = dailyClose > dailyEma50 and trendMomentum > trendThreshold
isBearishEnv = dailyClose < dailyEma50 and trendMomentum < -trendThreshold
isNoTradeZone = not isBullishEnv and not isBearishEnv

// ==================== 回调区识别 ====================

distanceToEma = math.abs(close - h4Ema20) / h4Atr
isBullPullback = isBullishEnv and close <= h4Ema20 + pullbackAtrMult * h4Atr and close >= h4Ema20 - pullbackAtrMult * h4Atr
isBearPullback = isBearishEnv and close >= h4Ema20 - pullbackAtrMult * h4Atr and close <= h4Ema20 + pullbackAtrMult * h4Atr

// ==================== 入场信号识别 ====================

bodySize = math.abs(close - open)
upperWick = high - math.max(close, open)
lowerWick = math.min(close, open) - low

isBullishCandle = close > open
isBearishCandle = close < open
isHammer = lowerWick >= bodySize * 1.2 and upperWick < bodySize * 0.5
isShootingStar = upperWick >= bodySize * 1.2 and lowerWick < bodySize * 0.5

// 做多信号
bullSignal1 = isBullishCandle and low < h4Ema20 and close >= h4Ema20
bullSignal2 = isHammer and low < h4Ema20
bullSignal3 = isBullishCandle and close > close[1] and distanceToEma < pullbackAtrMult
bullEntrySignal = isBullPullback and (bullSignal1 or bullSignal2 or bullSignal3)

// 做空信号
bearSignal1 = isBearishCandle and high > h4Ema20 and close <= h4Ema20
bearSignal2 = isShootingStar and high > h4Ema20
bearSignal3 = isBearishCandle and close < close[1] and distanceToEma < pullbackAtrMult
bearEntrySignal = isBearPullback and (bearSignal1 or bearSignal2 or bearSignal3)

// ==================== 核心：激进复利仓位计算 ====================

// 计算累计盈利率（用于杠杆触发条件）
cumulativeProfitPct = (strategy.equity - strategy.initial_capital) / strategy.initial_capital * 100

// 复利基数：使用当前权益而非初始资金
capitalBase = compoundingMode ? strategy.equity : strategy.initial_capital

// 基础风险金额（你的3%配置）
baseRiskAmount = capitalBase * riskPercentage / 100

// 杠杆触发条件：累计盈利>10%且当前是牛市
useLeverage = compoundingMode and cumulativeProfitPct >= 10.0 and isBullishEnv

// 应用杠杆倍数
effectiveLeverage = useLeverage ? maxLeverage : 1.0
leveragedRiskAmount = baseRiskAmount * effectiveLeverage

// 止损距离
stopDistance = stopAtrMult * h4Atr

// 计算合约数量
contractSize = leveragedRiskAmount / stopDistance

// 仓位占比限制
nominalValue = contractSize * close
positionPct = nominalValue / strategy.equity * 100

// 如果超过最大仓位占比，强制缩小
if positionPct > maxPositionPct
contractSize := strategy.equity * maxPositionPct / 100 / close

// 最终合约数
finalContractSize = math.floor(contractSize * 1000) / 1000
actualRiskAmount = finalContractSize * stopDistance

// ==================== 风控熔断机制 ====================

var float dayStartEquity = strategy.initial_capital
if ta.change(time("D"))
dayStartEquity := strategy.equity

dailyPnL = strategy.equity - dayStartEquity
dailyPnLPct = dailyPnL / strategy.equity * 100
isDailyCircuitBreaker = dailyPnLPct <= -dailyLossLimit

var float peakEquity = strategy.initial_capital
if strategy.equity > peakEquity
peakEquity := strategy.equity
currentDrawdown = (peakEquity - strategy.equity) / peakEquity * 100
isDefenseMode = currentDrawdown >= totalDrawdownLimit
// ==================== 持仓状态管理 ====================

var float entryPrice = na

var float currentStopLoss = na
var float riskUnit = na
var int profitStage = 0
var float maxR = 0.0
bool hasPosition = strategy.position_size != 0

bool isLong = strategy.position_size > 0
bool isShort = strategy.position_size < 0
// ==================== 开仓逻辑 ====================

canOpenLong = bullEntrySignal and not hasPosition and not isDailyCircuitBreaker and not isNoTradeZone and not isDefenseMode

canOpenShort = bearEntrySignal and not hasPosition and not isDailyCircuitBreaker and not isNoTradeZone and not isDefenseMode
if canOpenLong and finalContractSize > 0

leverageText = effectiveLeverage > 1.0 ? " [杠杆:" + str.tostring(effectiveLeverage, "#.#") + "x]" : ""
strategy.entry("Long", strategy.long, qty=finalContractSize,
comment="激进多单 $" + str.tostring(actualRiskAmount, "#") + leverageText)
entryPrice := close
currentStopLoss := close - stopDistance
riskUnit := stopDistance
profitStage := 0
maxR := 0.0
if canOpenShort and finalContractSize > 0

leverageText = effectiveLeverage > 1.0 ? " [杠杆:" + str.tostring(effectiveLeverage, "#.#") + "x]" : ""
strategy.entry("Short", strategy.short, qty=finalContractSize,
comment="激进空单 $" + str.tostring(actualRiskAmount, "#") + leverageText)
entryPrice := close
currentStopLoss := close + stopDistance
riskUnit := stopDistance
profitStage := 0
maxR := 0.0
// ==================== 激进分级止盈逻辑 ====================

currentR = 0.0

if isLong and not na(entryPrice)

currentR := (close - entryPrice) / riskUnit
maxR := math.max(maxR, currentR)
// 阶段1：延迟保本（1.2R）- 你的配置
if currentR >= breakEvenR and profitStage < 1
currentStopLoss := math.max(currentStopLoss, entryPrice)
profitStage := 1
// 阶段2：延迟锁利（3R锁1R）- 你的配置
if currentR >= lockSmallR and profitStage < 2
currentStopLoss := math.max(currentStopLoss, entryPrice + lockSmallLevel * riskUnit)
profitStage := 2
// 阶段3：大利润锁定（6R锁3R）- 你的配置
if currentR >= lockBigR and profitStage < 3
currentStopLoss := math.max(currentStopLoss, entryPrice + lockBigLevel * riskUnit)
profitStage := 3
// 利润回撤熔断（4R后回撤2R就平仓）
if useGivebackKill and maxR >= givebackStartR and (maxR - currentR) >= maxGivebackR
strategy.close("Long", comment="回撤熔断 峰值:" + str.tostring(maxR, "#.#") + "R")
entryPrice := na
profitStage := 0
maxR := 0.0
// 实时止损检查
else if close <= currentStopLoss
strategy.close("Long", comment="止损 R:" + str.tostring(currentR, "#.#"))
entryPrice := na
profitStage := 0
maxR := 0.0
// 趋势终结强平
else if dailyClose < dailyEma50
strategy.close("Long", comment="趋势终结 R:" + str.tostring(currentR, "#.#"))
entryPrice := na
profitStage := 0
maxR := 0.0
if isShort and not na(entryPrice)
currentR := (entryPrice - close) / riskUnit
maxR := math.max(maxR, currentR)
if currentR >= breakEvenR and profitStage < 1
currentStopLoss := math.min(currentStopLoss, entryPrice)
profitStage := 1
if currentR >= lockSmallR and profitStage < 2

currentStopLoss := math.min(currentStopLoss, entryPrice - lockSmallLevel * riskUnit)
profitStage := 2
if currentR >= lockBigR and profitStage < 3
currentStopLoss := math.min(currentStopLoss, entryPrice - lockBigLevel * riskUnit)
profitStage := 3
if useGivebackKill and maxR >= givebackStartR and (maxR - currentR) >= maxGivebackR
strategy.close("Short", comment="回撤熔断 峰值:" + str.tostring(maxR, "#.#") + "R")
entryPrice := na
profitStage := 0
maxR := 0.0
else if close >= currentStopLoss
strategy.close("Short", comment="止损 R:" + str.tostring(currentR, "#.#"))
entryPrice := na
profitStage := 0
maxR := 0.0
else if dailyClose > dailyEma50
strategy.close("Short", comment="趋势终结 R:" + str.tostring(currentR, "#.#"))
entryPrice := na
profitStage := 0
maxR := 0.0
// ==================== 图表显示 ====================
plot(dailyEma50, "日线EMA50", color=https://t.co/W9LQ9MN6qZ, linewidth=2)
plot(h4Ema20, "4H EMA20", color=https://t.co/e0Aaf28bjc, linewidth=1)
upperBand = h4Ema20 + pullbackAtrMult * h4Atr
lowerBand = h4Ema20 - pullbackAtrMult * h4Atr
plot(upperBand, "回调上轨", color=https://t.co/duXI7lEpR4(color.gray, 70))
plot(lowerBand, "回调下轨", color=https://t.co/duXI7lEpR4(color.gray, 70))
plot(hasPosition ? currentStopLoss : na, "动态止损", color=https://t.co/dIOECDNzBQ, style=https://t.co/p19xqwh0Vx_linebr, linewidth=2)
plot(hasPosition ? entryPrice : na, "入场价", color=color.white, style=https://t.co/p19xqwh0Vx_linebr, linewidth=1)
// 背景色：杠杆模式用深绿，普通牛市浅绿，熊市红色
bgColor = useLeverage ? https://t.co/duXI7lEpR4(https://t.co/rulpMKA568, 80) :
isBullishEnv ? https://t.co/duXI7lEpR4(https://t.co/rulpMKA568, 95) :
isBearishEnv ? https://t.co/duXI7lEpR4(https://t.co/dIOECDNzBQ, 95) :

https://t.co/duXI7lEpR4(color.gray, 97)

bgcolor(bgColor)
plotshape(canOpenLong, "做多", shape.triangleup, location.belowbar, color.lime, size=size.small)

plotshape(canOpenShort, "做空", shape.triangledown, location.abovebar, https://t.co/dIOECDNzBQ, size=size.small)
// 杠杆启用标记
plotshape(useLeverage and not hasPosition, "杠杆模式", shape.diamond, https://t.co/5DYgJjDGPX, color.yellow, size=size.tiny)
// ==================== 激进版Dashboard ====================

var table dashboard = https://t.co/tUjOGYdqfh(https://t.co/7soqemfmL4_right, 2, 12, bgcolor=https://t.co/duXI7lEpR4(https://t.co/lv48OjpjeR, 85), border_width=1)
if barstate.islast

// 标题
table.cell(dashboard, 0, 0, "激进复利版 v3.0", text_color=color.white, text_size=size.normal, bgcolor=https://t.co/duXI7lEpR4(https://t.co/dIOECDNzBQ, 50))
table.cell(dashboard, 1, 0, "高风险高回报", text_color=color.yellow, text_size=size.normal, bgcolor=https://t.co/duXI7lEpR4(https://t.co/dIOECDNzBQ, 50))
// 账户状态
table.cell(dashboard, 0, 1, "当前权益", text_color=color.white, text_size=size.small)
equityColor = strategy.equity > strategy.initial_capital ? color.lime : https://t.co/dIOECDNzBQ

table.cell(dashboard, 1, 1, "$" + str.tostring(strategy.equity, "#,###"), text_color=equityColor, text_size=size.small)
// 累计盈利

table.cell(dashboard, 0, 2, "累计盈利", text_color=color.white, text_size=size.small)
profitColor = cumulativeProfitPct > 0 ? color.lime : https://t.co/dIOECDNzBQ

table.cell(dashboard, 1, 2, str.tostring(cumulativeProfitPct, "#.#") + "%", text_color=profitColor, text_size=size.small)

// 杠杆状态

table.cell(dashboard, 0, 3, "当前杠杆", text_color=color.white, text_size=size.small)
leverageColor = effectiveLeverage > 1.0 ? color.yellow : color.gray
leverageStatus = effectiveLeverage > 1.0 ? str.tostring(effectiveLeverage, "#.#") + "x 🚀" : "1.0x"
table.cell(dashboard, 1, 3, leverageStatus, text_color=leverageColor, text_size=size.small)
// 基础风险（3%）
table.cell(dashboard, 0, 4, "基础风险", text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 4, "$" + str.tostring(baseRiskAmount, "#") + " (3%)", text_color=color.aqua, text_size=size.small)
// 实际风险（含杠杆）
table.cell(dashboard, 0, 5, "实际风险", text_color=color.white, text_size=size.small)
actualRiskColor = actualRiskAmount > baseRiskAmount ? https://t.co/W9LQ9MN6qZ : color.lime
table.cell(dashboard, 1, 5, "$" + str.tostring(actualRiskAmount, "#"), text_color=actualRiskColor, text_size=size.small)
// 趋势状态
trendText = isBullishEnv ? "多头 ▲" : isBearishEnv ? "空头 ▼" : "震荡 ■"
trendColor = isBullishEnv ? color.lime : isBearishEnv ? https://t.co/dIOECDNzBQ : color.gray
table.cell(dashboard, 0, 6, "趋势", text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 6, trendText, text_color=trendColor, text_size=size.small)
// 回调状态
pullbackText = isBullPullback ? "回调区 ✓" : isBearPullback ? "反弹区 ✓" : "等待..."
table.cell(dashboard, 0, 7, "回调", text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 7, pullbackText, text_color=(isBullPullback or isBearPullback) ? color.yellow : color.gray, text_size=size.small)
// 持仓状态
posText = isLong ? "持多 ●" : isShort ? "持空 ●" : "空仓 ○"
posColor = isLong ? color.lime : isShort ? https://t.co/dIOECDNzBQ : color.gray
table.cell(dashboard, 0, 8, "持仓", text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 8, posText, text_color=posColor, text_size=size.small)
// 当前R倍数
table.cell(dashboard, 0, 9, "当前R", text_color=color.white, text_size=size.small)
rColor = currentR > 0 ? color.lime : currentR < 0 ? https://t.co/dIOECDNzBQ : color.gray
table.cell(dashboard, 1, 9, str.tostring(currentR, "#.##") + "R", text_color=rColor, text_size=size.small)
// 历史最高R
table.cell(dashboard, 0, 10, "峰值R", text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 10, str.tostring(maxR, "#.##") + "R", text_color=color.lime, text_size=size.small)
// 止盈阶段
stageText = profitStage == 0 ? "初始" : profitStage == 1 ? "已保本" : profitStage == 2 ? "锁小利" : "锁大利"
table.cell(dashboard, 0, 11, "阶段", text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 11, stageText, text_color=color.yellow, text_size=size.small) December 12, 2025

イベント会場はこんな感じ👀

Google Pixel で撮影した写真は、ダウンロードしてお持ち帰りいただけます✨

▼みなさんが撮った写真はこちらでチェック📷
#GooglePixelPosterZoom

イベントは 12/14 まで
まだの方はここから予約👇
https://t.co/d6tX61Apt8

#MasakiとShutoとShinoとGooglePixel https://t.co/3wRFLGvsdB December 12, 2025

おまたせしました！！！
コマ送りChrome拡張機能 「Key Pose Lab（キーポーズ・ラボ）」を正式に公開しました！
動画サイトのコマ送り再生、画面メモ、チャプター機能など
アニメーション学習に使える様々な機能を詰め込みました。
その他にもアスリートやダンサー、推し活などあらゆる場面で自由にお使いください。
導入方法や機能の詳細はリプライ欄のnote記事を御覧ください！
アニメーターに届け！！
主な対応サイト
YouTube
ディズニー＋（倭国語版）
TVer(ティーバー)
U-NEXT
Amazon Prime Video
Lemino（レミノ）
ニコニコ動画
ABEMA
その他、HTML5 動画プレーヤーを使用した配信サイト December 12, 2025

Cちゃんが教えてくれたんだけど自分のステッカー周杜のやつだったの‼️めちゃめちゃうれしい🥹🍒
#GooglePixelPosterZoom
#MasakiとShutoとShinoとGooglePixel https://t.co/qfpvL4QSts December 12, 2025

2025.12.2 11:10〜
沢山の方が楽しそうに写真を撮ってたな😊
#MasakiとShutoとShinoとGooglePixel
#GooglePixelPosterZoom https://t.co/XU2nL75TJu December 12, 2025

ステッカーはそーゆーことだったのか！また来週行くので何が出るかなー🤭
#GooglePixelPosterZoom December 12, 2025

ステッカーとおそろ写真あるの嬉しい🥰🩷💛🤍
#GooglePixelPosterZoom https://t.co/mNh8CwLk5M December 12, 2025

女の子座りポーズ集11 by cli_pose https://t.co/SthupUSHOV #clipstudio 女の子素体向けの、座るポーズ8種セットです。可愛いアイドルから綺麗なお姉さんまで、ポーズに合わせて漫画やイラストなどにご活用ください。 December 12, 2025

season2 posterも素敵✨
#ストロボエッジ https://t.co/kaF4cK9QLI December 12, 2025

倭国通信の株価に関して言えば、これはいくら経営陣に文句を言ってもどうしようもないという思いがある。業績も文句ないし、ネオキャリア、FPoSともその方向性、戦略に不満はない。だから私はそのときが来るのをじっと待っているのです。 December 12, 2025