Long Trade on SYRUP 28 Aug 2025 at 02:54:07
Take profit at 0.4612 (1.07 %) and Stop Loss at 0.4531 (0.7 %)
Long Trade on SYRUP 28 Aug 2025 at 02:54:07
Take profit at 0.4612 (1.07 %) and Stop Loss at 0.4531 (0.7 %)
Position size of 1126.6228 $
Take profit at 0.4612 (1.07 %) and Stop Loss at 0.4531 (0.7 %)
That's a 1.53 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.68 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.67 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.72 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : bull_medium rules_regime_5m : bull_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.201621 |
3 |
Indicators:
112111
0.00840288
113054
0.201621
111773
0.0101456
112907
112022
0.00921002
113054
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 28 Aug 2025 02:54:07 |
28 Aug 2025 03:20:00 |
25 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.4563 | 0.4531 | 0.4612 | 1.53 | 0.24 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.4531 - 0.4563 = -0.0032
Récompense (distance jusqu'au take profit):
E - TP = 0.4563 - 0.4612 = -0.0049
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0049 / -0.0032 = 1.5313
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1126.6228 | 100 | 2469.0397 | 11.27 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / -0.0032 = -2500
Taille de position USD = -2500 x 0.4563 = -1140.75
Donc, tu peux acheter -2500 avec un stoploss a 0.4531
Avec un position size USD de -1140.75$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2500 x -0.0032 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2500 x -0.0049 = 12.25
Si Take Profit atteint, tu gagneras 12.25$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.07 % | 12.1 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.7 % | 7.9 $ |
| PNL | PNL % |
|---|---|
| -7.9 $ | -0.70 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7232 % | 103.12 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.4612
[entry_price] => 0.4563
[stop_loss] => 0.45278
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-28 03:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.4612
[entry_price] => 0.4563
[stop_loss] => 0.45246
[rr_ratio] => 1.28
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-28 03:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.4612
[entry_price] => 0.4563
[stop_loss] => 0.45214
[rr_ratio] => 1.18
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-28 03:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.4612
[entry_price] => 0.4563
[stop_loss] => 0.4515
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-28 03:20:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0
[max_drawdown] => 0.0076
[rr_ratio] => 0
[high] => 0.45630000
[low] => 0.44870000
[mfe_pct] => 0
[mae_pct] => 1.67
[mfe_mae_ratio] => 0
[candles_analyzed] => 24
[start_at] => 2025-08-28T02:54:07-04:00
[end_at] => 2025-08-28T04:54:07-04:00
)
[long_term] => Array
(
[max_gain] => 0
[max_drawdown] => 0.0089
[rr_ratio] => 0
[high] => 0.45630000
[low] => 0.44740000
[mfe_pct] => 0
[mae_pct] => 1.95
[mfe_mae_ratio] => 0
[candles_analyzed] => 84
[start_at] => 2025-08-28T02:54:07-04:00
[end_at] => 2025-08-28T09:54:07-04:00
)
[breakout] => Array
(
[high_before] => 0.46840000
[high_after] => 0.45630000
[low_before] => 0.45390000
[low_after] => 0.44870000
[is_new_high] =>
[is_new_low] =>
)
)