Long Trade on BROCCOLI 03 Jul 2025 at 21:45:26
Take profit at 0.04239 (0.98 %) and Stop Loss at 0.0417 (0.67 %)
Long Trade on BROCCOLI 03 Jul 2025 at 21:45:26
Take profit at 0.04239 (0.98 %) and Stop Loss at 0.0417 (0.67 %)
Position size of 1215.6346 $
Take profit at 0.04239 (0.98 %) and Stop Loss at 0.0417 (0.67 %)
That's a 1.46 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.54 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.46 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.318063 |
Indicators:
109594
-0.00101734
109482
0.318063
109436
0.000417056
109482
108296
0.0109508
109482
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 03 Jul 2025 21:45:26 |
03 Jul 2025 22:00:00 |
14 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.04198 | 0.0417 | 0.04239 | 1.46 | 0.01292 |
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 = 0.0417 - 0.04198 = -0.00028
Récompense (distance jusqu'au take profit):
E - TP = 0.04198 - 0.04239 = -0.00040999999999999
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.00040999999999999 / -0.00028 = 1.4643
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1215.6346 | 100 | 28957.4697 | 12.16 |
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 / -0.00028 = -28571.43
Taille de position USD = -28571.43 x 0.04198 = -1199.43
Donc, tu peux acheter -28571.43 avec un stoploss a 0.0417
Avec un position size USD de -1199.43$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -28571.43 x -0.00028 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -28571.43 x -0.00040999999999999 = 11.71
Si Take Profit atteint, tu gagneras 11.71$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.98 % | 11.87 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.67 % | 8.11 $ |
| PNL | PNL % |
|---|---|
| -8.11 $ | -0.67 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.667 % | 100 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.04239
[entry_price] => 0.04198
[stop_loss] => 0.041672
[rr_ratio] => 1.33
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-03 22:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.04239
[entry_price] => 0.04198
[stop_loss] => 0.041644
[rr_ratio] => 1.22
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-03 22:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.04239
[entry_price] => 0.04198
[stop_loss] => 0.041616
[rr_ratio] => 1.13
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-03 22:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.04239
[entry_price] => 0.04198
[stop_loss] => 0.04156
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-03 22:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00049
[max_drawdown] => 0.00147
[rr_ratio] => 0.33
[high] => 0.04247000
[low] => 0.04051000
[mfe_pct] => 1.17
[mae_pct] => 3.5
[mfe_mae_ratio] => 0.33
[candles_analyzed] => 24
[start_at] => 2025-07-03T21:45:26-04:00
[end_at] => 2025-07-03T23:45:26-04:00
)
[long_term] => Array
(
[max_gain] => 0.00092
[max_drawdown] => 0.00156
[rr_ratio] => 0.59
[high] => 0.04290000
[low] => 0.04042000
[mfe_pct] => 2.19
[mae_pct] => 3.72
[mfe_mae_ratio] => 0.59
[candles_analyzed] => 72
[start_at] => 2025-07-03T21:45:26-04:00
[end_at] => 2025-07-04T03:45:26-04:00
)
[breakout] => Array
(
[high_before] => 0.04326000
[high_after] => 0.04290000
[low_before] => 0.04165000
[low_after] => 0.04042000
[is_new_high] =>
[is_new_low] =>
)
)